[ { "text": "Prof. Omar Al-Qadi (د. عمر القاضي) is in the Artificial Intelligence Department at KASIT, Second Semester 2025/2026.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 1, "language": "English", "was_translated": false }, { "text": "Courses taught by Prof. Omar Al-Qadi in Second Semester 2025/2026: Linear Algebra for Computer Science (Sections 1, 2, 3), Computer Vision, and Data Visualization.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 2, "language": "English", "was_translated": false }, { "text": "Prof. Omar Al-Qadi teaches Linear Algebra for Computer Science Section 1 on Sundays, Tuesdays, and Thursdays from 8:30 to 9:30 AM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 3, "language": "English", "was_translated": false }, { "text": "Prof. Omar Al-Qadi teaches Linear Algebra for Computer Science Section 2 on Sundays, Tuesdays, and Thursdays from 9:30 to 10:30 AM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 4, "language": "English", "was_translated": false }, { "text": "Prof. Omar Al-Qadi teaches Linear Algebra for Computer Science Section 3 on Sundays, Tuesdays, and Thursdays from 11:30 to 12:30 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 5, "language": "English", "was_translated": false }, { "text": "Prof. Omar Al-Qadi teaches Computer Vision on Sundays, Tuesdays, and Thursdays from 12:30 to 1:30 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 6, "language": "English", "was_translated": false }, { "text": "Prof. Omar Al-Qadi teaches Data Visualization on Mondays and Wednesdays from 8:30 to 10:00 AM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 7, "language": "English", "was_translated": false }, { "text": "Prof. Omar Al-Qadi office hours: Sundays, Tuesdays, and Thursdays from 11:30 AM to 12:00 PM; Mondays and Wednesdays from 11:30 AM to 12:30 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 8, "language": "English", "was_translated": false }, { "text": "Prof. Rizq Al-Sayed (د. رزق السيد) is in the Information Technology Department at KASIT, Second Semester 2025/2026.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 9, "language": "English", "was_translated": false }, { "text": "Courses taught by Prof. Rizq Al-Sayed in Second Semester 2025/2026: Data Mining (Sections 2 and 3) and Non-Relational Databases (Section 1).", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 10, "language": "English", "was_translated": false }, { "text": "Prof. Rizq Al-Sayed teaches Data Mining Section 2 on Sundays, Tuesdays, and Thursdays from 12:30 to 1:30 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 11, "language": "English", "was_translated": false }, { "text": "Prof. Rizq Al-Sayed teaches Data Mining Section 3 on Mondays and Wednesdays from 11:30 AM to 1:00 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 12, "language": "English", "was_translated": false }, { "text": "Prof. Rizq Al-Sayed office hours: Sundays, Tuesdays, and Thursdays from 10:30 AM to 12:30 PM (includes administrative work). Scientific research and meetings on Mondays and Wednesdays from 1:00 to 2:30 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 13, "language": "English", "was_translated": false }, { "text": "Prof. Ruba Ubaidat (د. ربى عبيدات) is in the Artificial Intelligence Department at KASIT, First Semester 2025/2026.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 14, "language": "English", "was_translated": false }, { "text": "Courses taught by Prof. Ruba Ubaidat in First Semester 2025/2026: AI Programming (Sections 1 and 2).", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 15, "language": "English", "was_translated": false }, { "text": "Prof. Ruba Ubaidat teaches AI Programming Section 1 on Sundays, Tuesdays, and Thursdays from 10:30 to 11:30 AM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 16, "language": "English", "was_translated": false }, { "text": "Prof. Ruba Ubaidat teaches AI Programming Section 2 on Sundays, Tuesdays, and Thursdays from 12:30 to 1:30 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 17, "language": "English", "was_translated": false }, { "text": "Prof. Ruba Ubaidat office hours: Sundays, Tuesdays, and Thursdays from 1:30 to 2:30 PM. No classes or office hours on Mondays or Wednesdays.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 18, "language": "English", "was_translated": false }, { "text": "Prof. Dima Mahmoud Suleiman (د. ديمة محمود سليمان) is in the Information Technology Department at KASIT, Second Semester 2025/2026.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 19, "language": "English", "was_translated": false }, { "text": "Courses taught by Prof. Dima Suleiman in Second Semester 2025/2026: Artificial Intelligence (Sections 3 and 4), Social Media (Sections 8 and 13), and Digitalization.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 20, "language": "English", "was_translated": false }, { "text": "Prof. Dima Suleiman teaches Artificial Intelligence Section 3 on Sundays, Tuesdays, and Thursdays from 8:30 to 9:30 AM in Room 302.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 21, "language": "English", "was_translated": false }, { "text": "Prof. Dima Suleiman teaches Artificial Intelligence Section 4 on Sundays, Tuesdays, and Thursdays from 9:30 to 10:30 AM in Room 302.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 22, "language": "English", "was_translated": false }, { "text": "Prof. Dima Suleiman teaches Social Media Section 13 on Sundays and Tuesdays from 10:30 to 11:30 AM in Lab 304.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 23, "language": "English", "was_translated": false }, { "text": "Prof. Dima Suleiman teaches Social Media Section 8 on Sundays and Tuesdays from 12:30 to 1:00 PM in Lab 304. Office hours and graduation project meetings are held in the same slot.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 24, "language": "English", "was_translated": false }, { "text": "Prof. Dima Suleiman teaches Digitalization on Mondays from 8:30 to 10:00 AM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 25, "language": "English", "was_translated": false }, { "text": "Prof. Dima Suleiman spends Wednesdays entirely on Quality Center activities (8:30 AM to 1:00 PM) and academic advising (1:00 to 2:30 PM). On Thursdays, after teaching AI Sections 3 and 4, the rest of the day is at the Quality Center.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 26, "language": "English", "was_translated": false }, { "text": "Prof. Hamed Saqr Al-Badour (أ.د. حامد صقر البدور) is in the Information Technology Department at KASIT, First Semester 2025/2026.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 27, "language": "English", "was_translated": false }, { "text": "Courses taught by Prof. Hamed Al-Badour in First Semester 2025/2026: Operations Research (course code 1904341), HTML Sections 1, 2, and 3 (course code 1904120), and Computer Ethics (course code 1904345).", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 28, "language": "English", "was_translated": false }, { "text": "Prof. Hamed Al-Badour teaches Operations Research (1904341) on Sundays, Tuesdays, and Thursdays from 9:30 to 10:30 AM in the Technology Corridor.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 29, "language": "English", "was_translated": false }, { "text": "Prof. Hamed Al-Badour teaches HTML Section 3 (1904120) on Sundays, Tuesdays, and Thursdays from 10:30 to 11:30 AM in Lab 107.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 30, "language": "English", "was_translated": false }, { "text": "Prof. Hamed Al-Badour teaches HTML Section 1 (1904120) on Sundays, Tuesdays, and Thursdays from 12:30 to 1:30 PM in Lab 302.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 31, "language": "English", "was_translated": false }, { "text": "Prof. Hamed Al-Badour teaches HTML Section 2 (1904120) on Sundays, Tuesdays, and Thursdays from 1:30 to 2:30 PM in Lab 103.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 32, "language": "English", "was_translated": false }, { "text": "Prof. Hamed Al-Badour teaches Computer Ethics (1904345) on Mondays and Wednesdays from 4:00 to 5:30 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 33, "language": "English", "was_translated": false }, { "text": "Prof. Yazn Al-Shumaylah (د. يزن الشمايلة) is in the Information Technology Department at KASIT, Second Semester 2025/2026.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 34, "language": "English", "was_translated": false }, { "text": "Courses taught by Prof. Yazn Al-Shumaylah in Second Semester 2025/2026: Management Information Systems (Section 1), Fundamentals of IT (Section 3), and Total Quality Management (Section 1).", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 35, "language": "English", "was_translated": false }, { "text": "Prof. Yazn Al-Shumaylah teaches Management Information Systems Section 1 on Sundays, Tuesdays, and Thursdays from 2:30 to 3:30 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 36, "language": "English", "was_translated": false }, { "text": "Prof. Yazn Al-Shumaylah teaches Fundamentals of IT Section 3 on Mondays and Wednesdays from 2:30 to 4:30 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 37, "language": "English", "was_translated": false }, { "text": "Prof. Yazn Al-Shumaylah teaches Total Quality Management Section 1 on Mondays and Wednesdays from 4:30 to 6:00 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 38, "language": "English", "was_translated": false }, { "text": "Prof. Yazn Al-Shumaylah office hours: Sundays, Tuesdays, and Thursdays from 12:30 to 2:30 PM (two back-to-back office hour slots). Also Mondays and Wednesdays from 12:00 to 1:00 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 39, "language": "English", "was_translated": false }, { "text": "Prof. Ali Al-Rawdhan (د. علي الروضان) is in the Artificial Intelligence Department at KASIT, Second Semester 2025/2026.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 40, "language": "English", "was_translated": false }, { "text": "Courses taught by Prof. Ali Al-Rawdhan in Second Semester 2025/2026: Machine Learning and Neural Networks (Sections 1 and 2), Introduction to Artificial Intelligence, Data Science Basics, Social Media, and Machine Learning for PhD students.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 41, "language": "English", "was_translated": false }, { "text": "Prof. Ali Al-Rawdhan teaches Machine Learning and Neural Networks Section 1 on Sundays, Tuesdays, and Thursdays from 8:30 to 9:30 AM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 42, "language": "English", "was_translated": false }, { "text": "Prof. Ali Al-Rawdhan teaches Machine Learning and Neural Networks Section 2 on Sundays, Tuesdays, and Thursdays from 9:30 to 10:30 AM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 43, "language": "English", "was_translated": false }, { "text": "Prof. Ali Al-Rawdhan teaches Introduction to Artificial Intelligence on Sundays, Tuesdays, and Thursdays from 11:30 AM to 12:30 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 44, "language": "English", "was_translated": false }, { "text": "Prof. Ali Al-Rawdhan teaches Data Science Basics on Mondays and Wednesdays from 8:30 to 10:00 AM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 45, "language": "English", "was_translated": false }, { "text": "Prof. Ali Al-Rawdhan teaches Social Media on Mondays and Wednesdays from 11:30 AM to 1:00 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 46, "language": "English", "was_translated": false }, { "text": "Prof. Ali Al-Rawdhan teaches Machine Learning for PhD students on Mondays from 4:00 to 7:00 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 47, "language": "English", "was_translated": false }, { "text": "Prof. Ali Al-Rawdhan office hours: Sundays and Tuesdays from 1:30 to 2:30 PM. Also Thursdays from 1:30 to 2:30 PM. Monday office hours from 1:00 to 2:30 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 48, "language": "English", "was_translated": false }, { "text": "Prof. Ahmad Al-Huwaytat (د. احمد الحويطات) is in the Information Technology Department at KASIT, Second Semester 2025/2026.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 49, "language": "English", "was_translated": false }, { "text": "Courses taught by Prof. Ahmad Al-Huwaytat in Second Semester 2025/2026: Information Security and Privacy (Section 2), Ethical Hacking (Section 1), and Digital Forensics (Sections 1 and 2).", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 50, "language": "English", "was_translated": false }, { "text": "Prof. Ahmad Al-Huwaytat teaches Information Security and Privacy Section 2 on Sundays, Tuesdays, and Thursdays from 9:30 to 10:30 AM in Lab 107.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 51, "language": "English", "was_translated": false }, { "text": "Prof. Ahmad Al-Huwaytat teaches Ethical Hacking Section 1 on Sundays and Tuesdays from 11:30 AM to 1:30 PM in Lab 107, and continues from 3:30 to 4:30 PM in Lab 105.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 52, "language": "English", "was_translated": false }, { "text": "Prof. Ahmad Al-Huwaytat teaches Digital Forensics Section 1 on Sundays and Tuesdays from 1:30 to 3:30 PM in Lab 105.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 53, "language": "English", "was_translated": false }, { "text": "Prof. Ahmad Al-Huwaytat teaches Digital Forensics Section 2 on Mondays and Wednesdays from 8:00 to 10:00 AM in Lab 105.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 54, "language": "English", "was_translated": false }, { "text": "Prof. Ahmad Al-Huwaytat office hours: Sundays and Tuesdays from 11:30 AM to 12:30 PM, combined with academic advising.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 55, "language": "English", "was_translated": false }, { "text": "Prof. Bashar Al-Shboul (د. بشار الشبول) is in the Information Technology Department at KASIT, Second Semester 2025/2026.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 56, "language": "English", "was_translated": false }, { "text": "Courses taught by Prof. Bashar Al-Shboul in Second Semester 2025/2026: Statistical Packages (Section 1), Advanced Web Applications (Sections 1 and 4), Document Analysis and Classification (Section 1), Electronic Commerce (Section 1), and Decision Support Systems in the Public Sector (Section 1).", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 57, "language": "English", "was_translated": false }, { "text": "Prof. Bashar Al-Shboul teaches Statistical Packages Section 1 on Sundays, Tuesdays, and Thursdays from 8:30 to 9:30 AM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 58, "language": "English", "was_translated": false }, { "text": "Prof. Bashar Al-Shboul teaches Advanced Web Applications Section 1 on Sundays, Tuesdays, and Thursdays from 11:30 AM to 12:30 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 59, "language": "English", "was_translated": false }, { "text": "Prof. Bashar Al-Shboul teaches Document Analysis and Classification Section 1 on Sundays, Tuesdays, and Thursdays from 12:30 to 1:00 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 60, "language": "English", "was_translated": false }, { "text": "Prof. Bashar Al-Shboul teaches Electronic Commerce Section 1 on Mondays and Wednesdays from 11:30 AM to 1:00 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 61, "language": "English", "was_translated": false }, { "text": "Prof. Bashar Al-Shboul teaches Advanced Web Applications Section 4 on Mondays and Wednesdays from 1:00 to 2:30 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 62, "language": "English", "was_translated": false }, { "text": "Prof. Bashar Al-Shboul teaches Decision Support Systems in the Public Sector Section 1 on Mondays from 5:00 to 8:00 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 63, "language": "English", "was_translated": false }, { "text": "Prof. Bashar Al-Shboul office hours: Sundays, Tuesdays, and Thursdays from 9:30 to 11:30 AM (two consecutive slots).", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 64, "language": "English", "was_translated": false }, { "text": "Prof. Yusuf Sinjlawi (د. يوسف سنجلاوي) is in the Information Technology Department at KASIT, Second Semester 2025/2026.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 65, "language": "English", "was_translated": false }, { "text": "Courses taught by Prof. Yusuf Sinjlawi in Second Semester 2025/2026: Business Simulation (Section 1), Special Topics in Data Science (Section 1), and Special Topics (Section 1).", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 66, "language": "English", "was_translated": false }, { "text": "Prof. Yusuf Sinjlawi teaches Business Simulation Section 1 on Sundays, Tuesdays, and Thursdays from 1:30 to 2:30 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 67, "language": "English", "was_translated": false }, { "text": "Prof. Yusuf Sinjlawi teaches Special Topics in Data Science Section 1 on Sundays, Tuesdays, and Thursdays from 4:30 to 5:30 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 68, "language": "English", "was_translated": false }, { "text": "Prof. Yusuf Sinjlawi teaches Special Topics Section 1 on Mondays and Wednesdays from 4:30 to 5:00 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 69, "language": "English", "was_translated": false }, { "text": "Prof. Yusuf Sinjlawi office hours: Sundays, Tuesdays, and Thursdays from 12:30 to 1:30 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 70, "language": "English", "was_translated": false }, { "text": "Prof. Sharif Makhademah (د. شريف مخادمه) is in the Information Technology Department at KASIT, Second Semester 2025/2026.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 71, "language": "English", "was_translated": false }, { "text": "Courses taught by Prof. Sharif Makhademah in Second Semester 2025/2026: Data Mining (Section 1), Mobile Programming (Section 1), and Web Application Development (Section 12).", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 72, "language": "English", "was_translated": false }, { "text": "Prof. Sharif Makhademah teaches Data Mining Section 1 on Sundays, Tuesdays, and Thursdays from 9:30 to 10:30 AM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 73, "language": "English", "was_translated": false }, { "text": "Prof. Sharif Makhademah teaches Mobile Programming Section 1 on Sundays, Tuesdays, and Thursdays from 10:30 to 11:30 AM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 74, "language": "English", "was_translated": false }, { "text": "Prof. Sharif Makhademah teaches Web Application Development Section 12 on Sundays, Tuesdays, and Thursdays from 12:30 to 1:00 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 75, "language": "English", "was_translated": false }, { "text": "Prof. Sharif Makhademah office hours: Sundays, Tuesdays, and Thursdays from 8:30 to 9:30 AM. No Monday or Wednesday schedule.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 76, "language": "English", "was_translated": false }, { "text": "Instructor Yusuf Khalil Al-Majdalawi (م. يوسف خليل المجدلاوي) is in the Information Technology Department at KASIT, Second Semester 2025/2026. Email: ymajdal@ju.edu.jo.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 77, "language": "English", "was_translated": false }, { "text": "Courses taught by Instructor Yusuf Al-Majdalawi in Second Semester 2025/2026: Modern Digital Skills (multiple sections) and Object-Oriented Programming (multiple sections).", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 78, "language": "English", "was_translated": false }, { "text": "Instructor Yusuf Al-Majdalawi teaches Modern Digital Skills on Sundays and Tuesdays: Room 205 from 8:30–9:30 AM, Room 303 from 9:30–10:30 AM, Room 205 from 12:30–1:30 PM, and Room 001 from 1:30–2:30 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 79, "language": "English", "was_translated": false }, { "text": "Instructor Yusuf Al-Majdalawi teaches Object-Oriented Programming on Mondays and Wednesdays: Lab 202 from 8:30–10:00 AM, Lab 202 from 11:30 AM–1:00 PM, and Lab 204 from 1:00–2:30 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 80, "language": "English", "was_translated": false }, { "text": "Instructor Yusuf Al-Majdalawi office hours: Sundays and Tuesdays from 11:30 AM to 12:30 PM, combined with academic advising. No Thursday schedule.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 81, "language": "English", "was_translated": false }, { "text": "Instructor Rula Ismail Al-Khalid (م. رولا اسماعيل الخالد) is in the Information Technology Department at KASIT, Second Semester 2025/2026. Email: r.khalid@ju.edu.jo.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 82, "language": "English", "was_translated": false }, { "text": "Courses taught by Instructor Rula Al-Khalid in Second Semester 2025/2026: Object-Oriented Programming, Modern Digital Skills, and Computer Basics.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 83, "language": "English", "was_translated": false }, { "text": "Instructor Rula Al-Khalid teaches Object-Oriented Programming on Sundays and Tuesdays from 8:30–9:30 AM in Lab 202 and 9:30–10:30 AM in Lab 206. Also on Thursdays in the same slots.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 84, "language": "English", "was_translated": false }, { "text": "Instructor Rula Al-Khalid teaches Modern Digital Skills on Sundays and Tuesdays from 10:30 to 11:30 AM in Room 201.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 85, "language": "English", "was_translated": false }, { "text": "Instructor Rula Al-Khalid teaches Computer Basics on Sundays and Tuesdays from 1:30 to 2:30 PM in Lab 205. Also on Mondays in Lab 104 from 11:30 AM–1:00 PM and Lab 207 from 1:00–2:30 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 86, "language": "English", "was_translated": false }, { "text": "Instructor Rula Al-Khalid office hours: Sundays and Tuesdays from 12:30 to 1:30 PM, combined with academic advising.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 87, "language": "English", "was_translated": false }, { "text": "Instructor Asil Muhammad Al-Anani (م. أصيل محمد العناني) is in the Information Technology Department at KASIT, Second Semester 2025/2026. Email: a.anani@ju.edu.jo.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 88, "language": "English", "was_translated": false }, { "text": "Courses taught by Instructor Asil Al-Anani in Second Semester 2025/2026: Modern Digital Skills, Object-Oriented Programming, and Computer Basics.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 89, "language": "English", "was_translated": false }, { "text": "Instructor Asil Al-Anani teaches Modern Digital Skills on Sundays and Tuesdays from 8:30–9:30 AM in Room 201, and from 1:30–2:30 PM in Room 205.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 90, "language": "English", "was_translated": false }, { "text": "Instructor Asil Al-Anani teaches Object-Oriented Programming on Sundays and Tuesdays from 9:30–10:30 AM and 10:30–11:30 AM in Lab 207. Also on Thursdays in the same slots.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 91, "language": "English", "was_translated": false }, { "text": "Instructor Asil Al-Anani teaches Computer Basics on Mondays from 8:30–10:00 AM in Lab 201 and 11:30 AM–1:00 PM in Lab 205.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 92, "language": "English", "was_translated": false }, { "text": "Instructor Asil Al-Anani office hours: Sundays and Tuesdays from 12:30 to 1:30 PM, combined with academic advising.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 93, "language": "English", "was_translated": false }, { "text": "Instructor Tahani Salah Al-Khatib (د/م. تهاني صلاح الخطيب) is in the Information Technology Department at KASIT, Second Semester 2025/2026. Email: tahani.khatib@ju.edu.jo.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 94, "language": "English", "was_translated": false }, { "text": "Courses taught by Instructor Tahani Al-Khatib in Second Semester 2025/2026: Special Topics in Digital Skills, Multimedia, and AI Ethics and Data Science (Online).", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 95, "language": "English", "was_translated": false }, { "text": "Instructor Tahani Al-Khatib teaches Special Topics in Digital Skills on Sundays and Tuesdays: Lab 204 from 8:30–9:30 AM, Lab 205 from 9:30–10:30 AM, and Lab 205 from 12:30–1:30 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 96, "language": "English", "was_translated": false }, { "text": "Instructor Tahani Al-Khatib teaches Special Topics in Digital Skills on Mondays and Wednesdays from 11:00 AM to 1:00 PM in Lab 206.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 97, "language": "English", "was_translated": false }, { "text": "Instructor Tahani Al-Khatib teaches Multimedia on Sundays and Tuesdays from 1:30 to 2:30 PM in Lab 104. Also Thursday mornings in Lab 104.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 98, "language": "English", "was_translated": false }, { "text": "Instructor Tahani Al-Khatib teaches AI Ethics and Data Science (Online) on Mondays and Wednesdays from 1:00 to 2:30 PM, delivered online.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 99, "language": "English", "was_translated": false }, { "text": "Instructor Tahani Al-Khatib office hours: Sundays and Tuesdays from 11:30 AM to 12:30 PM, combined with academic advising.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 100, "language": "English", "was_translated": false }, { "text": "Instructor Lama Rajab Abd Al-Majid (م. لمى رجب عبد المجيد) is in the Information Technology Department at KASIT, Second Semester 2025/2026. Email: lama.rajab@ju.edu.jo.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 101, "language": "English", "was_translated": false }, { "text": "Courses taught by Instructor Lama Rajab in Second Semester 2025/2026: Database Management Systems, Modern Digital Skills, and Special Topics in Digital Skills.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 102, "language": "English", "was_translated": false }, { "text": "Instructor Lama Rajab teaches Database Management Systems on Sundays, Tuesdays, and Thursdays from 8:30 to 9:30 AM in Lab 205.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 103, "language": "English", "was_translated": false }, { "text": "Instructor Lama Rajab teaches Modern Digital Skills on Sundays and Tuesdays: Room 205 from 9:30–10:30 AM, Scientific Halls Complex Room 20 from 10:30–11:30 AM, Room 201 from 12:30–1:30 PM, and Room 201 from 1:30–2:30 PM. Also Room 205 on Thursdays from 9:30–10:30 AM, and Room 201 on Mondays from 11:30 AM–1:00 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 104, "language": "English", "was_translated": false }, { "text": "Instructor Lama Rajab teaches Special Topics in Digital Skills on Mondays from 8:30 to 10:00 AM in Lab 207.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 105, "language": "English", "was_translated": false }, { "text": "Instructor Lama Rajab office hours: Mondays from 11:00 AM to 12:00 PM. Also Thursdays (rest of day after morning classes), combined with academic advising.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 106, "language": "English", "was_translated": false }, { "text": "Instructor Tamara Yousef Al-Mara'beh (م. تمارا يوسف المراعبة) is in the Information Technology Department at KASIT, Second Semester 2025/2026. Email: t.almaraabeh@ju.edu.jo.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 107, "language": "English", "was_translated": false }, { "text": "Courses taught by Instructor Tamara Al-Mara'beh in Second Semester 2025/2026: Computer Basics (multiple sections) and Modern Digital Skills.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 108, "language": "English", "was_translated": false }, { "text": "Instructor Tamara Al-Mara'beh teaches Computer Basics on Sundays and Tuesdays: Lab 206 from 8:30–9:30 AM, Lab 201 from 10:30–11:30 AM, and Lab 207 from 12:30–1:30 PM. Also on Mondays: Lab 206 from 8:30–10:00 AM and Lab 201 from 1:00–2:30 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 109, "language": "English", "was_translated": false }, { "text": "Instructor Tamara Al-Mara'beh teaches Modern Digital Skills on Sundays and Tuesdays from 9:30 to 10:30 AM in Room 202. Also on Mondays from 11:30 AM to 1:00 PM in Room 302.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 110, "language": "English", "was_translated": false }, { "text": "Instructor Hiba Ali Muhammad / Hiba Khadrawi (م. هبة علي محمد) is in the Information Technology Department at KASIT, Second Semester 2025/2026. Email: h.khadrawi@ju.edu.jo.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 111, "language": "English", "was_translated": false }, { "text": "Courses taught by Instructor Hiba Khadrawi in Second Semester 2025/2026: Database Management Systems, Modern Digital Skills, and Computer Basics.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 112, "language": "English", "was_translated": false }, { "text": "Instructor Hiba Khadrawi teaches Database Management Systems on Sundays and Tuesdays from 8:30 to 9:30 AM in Lab 207. Also on Thursdays in the same slot.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 113, "language": "English", "was_translated": false }, { "text": "Instructor Hiba Khadrawi teaches Modern Digital Skills on Sundays and Tuesdays: Room 203 from 9:30–10:30 AM, Room 205 from 10:30–11:30 AM, and Room 202 from 12:30–1:30 PM. Also on Mondays: Room 205 from 11:30 AM–1:00 PM and Room 302 from 1:00–2:30 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 114, "language": "English", "was_translated": false }, { "text": "Instructor Hiba Khadrawi teaches Computer Basics on Mondays from 8:30 to 10:00 AM in Lab 205.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 115, "language": "English", "was_translated": false }, { "text": "Prof. Rana Muhammad Yousef (أ.د. رنا محمد يوسف) is Head of the Computer Information Systems Department at KASIT, Second Semester 2025/2026. Email: Rana.Yousef@ju.edu.jo.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 116, "language": "English", "was_translated": false }, { "text": "Courses taught by Prof. Rana Yousef in Second Semester 2025/2026: Functional Preparation 3 — Skills, Project Management (Online), and Special Topics in Digital Skills (Certificate Track).", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 117, "language": "English", "was_translated": false }, { "text": "Prof. Rana Yousef teaches Functional Preparation 3 (Skills) on Sundays, Tuesdays, and Thursdays from 8:30 AM to 12:30 PM in the College Auditorium.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 118, "language": "English", "was_translated": false }, { "text": "Prof. Rana Yousef teaches Project Management (Online) on Mondays and Wednesdays from 2:30 to 4:00 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 119, "language": "English", "was_translated": false }, { "text": "Prof. Rana Yousef teaches Special Topics in Digital Skills (Certificate Track) on Wednesdays from 11:30 AM to 1:30 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 120, "language": "English", "was_translated": false }, { "text": "Prof. Rana Yousef office hours: Mondays from 8:30 to 10:00 AM. Scientific research on Sundays, Tuesdays, and Thursdays from 12:30 to 2:30 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 121, "language": "English", "was_translated": false }, { "text": "Prof. Musa Tawfiq Al-Akhras (د. موسى توفيق الأخرس) is in the Information Technology Department at KASIT, Second Semester 2025/2026. Email: mousa.akhras@ju.edu.jo.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 122, "language": "English", "was_translated": false }, { "text": "Courses taught by Prof. Musa Al-Akhras in Second Semester 2025/2026: Internet of Things (IoT), AI and Expert Systems (Master's), Applied Data Science, and Research Methodology (Master's).", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 123, "language": "English", "was_translated": false }, { "text": "Prof. Musa Al-Akhras teaches Internet of Things (IoT) on Sundays, Tuesdays, and Thursdays from 1:30–2:30 PM and 2:30–3:30 PM in Lab 304.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 124, "language": "English", "was_translated": false }, { "text": "Prof. Musa Al-Akhras teaches AI and Expert Systems for Master's students on Sundays from 4:00 to 7:00 PM in Room 105.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 125, "language": "English", "was_translated": false }, { "text": "Prof. Musa Al-Akhras teaches Applied Data Science at the Engineering Faculty on Tuesdays from 4:00 to 7:00 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 126, "language": "English", "was_translated": false }, { "text": "Prof. Musa Al-Akhras teaches Research Methodology for Master's students on Mondays from 4:00 to 7:00 PM in Room 105.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 127, "language": "English", "was_translated": false }, { "text": "Prof. Musa Al-Akhras office hours: Sundays and Tuesdays from 3:30 to 4:30 PM, combined with academic advising.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 128, "language": "English", "was_translated": false }, { "text": "Prof. Abd Al-Basit Jamal Assaf (د. عبد الباسط جمال عساف) is Assistant Dean for Student Affairs at KASIT and a member of the Information Technology Department, Second Semester 2025/2026. Email: ab.assaf@ju.edu.jo.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 129, "language": "English", "was_translated": false }, { "text": "Courses taught by Prof. Abd Al-Basit Assaf in Second Semester 2025/2026: Object-Oriented Programming (Sections 1 and 2), Modern Digital Skills, and Mobile Development Frameworks.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 130, "language": "English", "was_translated": false }, { "text": "Prof. Abd Al-Basit Assaf teaches Object-Oriented Programming on Sundays, Tuesdays, and Thursdays: Lab 206 from 11:30 AM–12:30 PM and Lab 202 from 12:30–1:30 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 131, "language": "English", "was_translated": false }, { "text": "Prof. Abd Al-Basit Assaf teaches Modern Digital Skills on Mondays from 11:00 AM to 1:00 PM in Room 202.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 132, "language": "English", "was_translated": false }, { "text": "Prof. Abd Al-Basit Assaf teaches Mobile Development Frameworks on Mondays and Wednesdays from 1:00 to 2:30 PM in Lab 204.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 133, "language": "English", "was_translated": false }, { "text": "Prof. Abd Al-Basit Assaf office hours: Sundays, Tuesdays, and Thursdays from 10:30 to 11:30 AM. Also Wednesdays from 12:00 to 1:00 PM. All combined with academic advising.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 134, "language": "English", "was_translated": false }, { "text": "Prof. Muhammad Abd Al-Rahman Abu Shariah (د. محمد عبد الرحمن أبو شريعة) is in the Information Technology Department at KASIT, Second Semester 2025/2026. Email: M.Abushariah@ju.edu.jo.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 135, "language": "English", "was_translated": false }, { "text": "Courses taught by Prof. Muhammad Abu Shariah in Second Semester 2025/2026: Information Systems and Applications (Sections 1 and 2), Software Engineering, Multimedia for Master's students, and Natural Language Processing for PhD students.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 136, "language": "English", "was_translated": false }, { "text": "Prof. Muhammad Abu Shariah teaches Information Systems and Applications on Sundays, Tuesdays, and Thursdays: Room 203 from 8:30–9:30 AM and Room 201 from 9:30–10:30 AM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 137, "language": "English", "was_translated": false }, { "text": "Prof. Muhammad Abu Shariah teaches Software Engineering on Mondays and Wednesdays: Lab 204 from 8:30–10:00 AM and Lab 204 from 11:30 AM–1:00 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 138, "language": "English", "was_translated": false }, { "text": "Prof. Muhammad Abu Shariah teaches Multimedia for Master's students on Tuesdays from 4:00 to 7:00 PM in Lab 204.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 139, "language": "English", "was_translated": false }, { "text": "Prof. Muhammad Abu Shariah teaches Natural Language Processing for PhD students on Thursdays from 4:00 to 7:00 PM in Lab 204.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 140, "language": "English", "was_translated": false }, { "text": "Prof. Muhammad Abu Shariah office hours: Sundays and Tuesdays from 11:30 AM to 12:30 PM. Mondays and Wednesdays from 1:00 to 2:30 PM. Graduate student supervision on Tuesdays from 3:00–4:00 PM and Thursdays from 3:00–4:00 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 141, "language": "English", "was_translated": false }, { "text": "Prof. Thaer Mahmoud Hamtini (أ.د. ثائر محمود حمتيني) is in the Information Technology Department at KASIT, Second Semester 2025/2026. Email: thamtini@ju.edu.jo.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 142, "language": "English", "was_translated": false }, { "text": "Courses taught by Prof. Thaer Hamtini in Second Semester 2025/2026: Database Management Systems (multiple sections), Computer Basics (multiple sections), and E-Learning for Master's students.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 143, "language": "English", "was_translated": false }, { "text": "Prof. Thaer Hamtini teaches Database Management Systems on Sundays and Tuesdays: Lab 204 from 11:30 AM–12:30 PM and Lab 205 from 1:30–2:30 PM. Also on Thursdays in the same slots.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 144, "language": "English", "was_translated": false }, { "text": "Prof. Thaer Hamtini teaches Computer Basics on Sundays and Tuesdays: Lab 201 from 12:30–1:30 PM and Lab 002 from 2:30–3:30 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 145, "language": "English", "was_translated": false }, { "text": "Prof. Thaer Hamtini teaches E-Learning for Master's students on Wednesdays from 4:00 to 7:00 PM in Room 201.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 146, "language": "English", "was_translated": false }, { "text": "Prof. Thaer Hamtini office hours: Thursdays midday and Wednesdays from 3:00 to 4:00 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 147, "language": "English", "was_translated": false }, { "text": "Prof. Amjad Ahmad Hudaib (أ.د. أمجد أحمد هديب) is in the Information Technology Department at KASIT, Second Semester 2025/2026. Email: ahudaib@ju.edu.jo.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 148, "language": "English", "was_translated": false }, { "text": "Courses taught by Prof. Amjad Hudaib in Second Semester 2025/2026: Software Engineering (multiple sections), Advanced Topics in Software Engineering, and Computer Basics.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 149, "language": "English", "was_translated": false }, { "text": "Prof. Amjad Hudaib teaches Software Engineering on Sundays, Tuesdays, and Thursdays: Lab 204 from 10:30–11:30 AM and Lab 204 from 1:30–2:30 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 150, "language": "English", "was_translated": false }, { "text": "Prof. Amjad Hudaib teaches Advanced Topics in Software Engineering on Sundays, Tuesdays, and Thursdays from 12:30 to 1:30 PM in Lab 204.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 151, "language": "English", "was_translated": false }, { "text": "Prof. Amjad Hudaib teaches Computer Basics on Mondays from 1:00–2:30 PM and 2:30–4:00 PM in Lab 206.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 152, "language": "English", "was_translated": false }, { "text": "Prof. Amjad Hudaib office hours: Sundays, Tuesdays, and Thursdays from 11:30 AM to 12:30 PM. Also Mondays from 11:00 AM to 1:00 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 153, "language": "English", "was_translated": false }, { "text": "Prof. Huda Abd Al-Rahim Karajeh (د. هدى عبد الرحيم كراجة) is in the Information Technology Department at KASIT, Second Semester 2025/2026. Email: h.karajeh@ju.edu.jo.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 154, "language": "English", "was_translated": false }, { "text": "Courses taught by Prof. Huda Karajeh in Second Semester 2025/2026: Digital Image Processing, Computer Ethics and Documentation, and Computer Basics.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 155, "language": "English", "was_translated": false }, { "text": "Prof. Huda Karajeh teaches Digital Image Processing on Sundays and Tuesdays from 9:30–10:30 AM and 10:30–11:30 AM in Lab 202. Also on Thursdays from 9:30 to 11:30 AM in Lab 202.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 156, "language": "English", "was_translated": false }, { "text": "Prof. Huda Karajeh teaches Computer Ethics and Documentation on Sundays and Tuesdays from 1:30 to 2:30 PM in Room 202.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 157, "language": "English", "was_translated": false }, { "text": "Prof. Huda Karajeh teaches Computer Basics on Mondays: Lab 206 from 11:30 AM–1:00 PM and Lab 205 from 1:00–2:30 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 158, "language": "English", "was_translated": false }, { "text": "Prof. Huda Karajeh office hours: Sundays and Tuesdays from 12:30 to 1:30 PM, combined with academic advising.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 159, "language": "English", "was_translated": false }, { "text": "Prof. Bassam Hassan Hammo (أ.د. بسام حسن حمو) is in the Information Technology Department at KASIT, Second Semester 2025/2026. Email: b.hammo@ju.edu.jo.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 160, "language": "English", "was_translated": false }, { "text": "Courses taught by Prof. Bassam Hammo in Second Semester 2025/2026: Human-Computer Interaction (Sections 1 and 2), Advanced Topics in Database Systems, and Database Management Systems.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 161, "language": "English", "was_translated": false }, { "text": "Prof. Bassam Hammo teaches Human-Computer Interaction on Sundays, Tuesdays, and Thursdays: Room 202 from 10:30–11:30 AM and Room 203 from 12:30–1:30 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 162, "language": "English", "was_translated": false }, { "text": "Prof. Bassam Hammo teaches Advanced Topics in Database Systems on Sundays, Tuesdays, and Thursdays from 1:30 to 2:30 PM in Lab 206.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 163, "language": "English", "was_translated": false }, { "text": "Prof. Bassam Hammo teaches Database Management Systems on Mondays and Wednesdays from 1:00 to 2:30 PM in Lab 203.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 164, "language": "English", "was_translated": false }, { "text": "Prof. Bassam Hammo office hours: Sundays and Tuesdays from 12:30 to 1:30 PM (combined with the HCI lecture in Room 203 that hour).", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 165, "language": "English", "was_translated": false }, { "text": "Prof. Hamad Uqab Al-Sawalqah (د. حمد عقاب السوالقة) is in the Information Technology Department at KASIT, Second Semester 2025/2026. Email: h.sawalqah@ju.edu.jo.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 166, "language": "English", "was_translated": false }, { "text": "Courses taught by Prof. Hamad Al-Sawalqah in Second Semester 2025/2026: Software Engineering (multiple sections), Systems Analysis and Design, and Software Engineering for PhD students.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 167, "language": "English", "was_translated": false }, { "text": "Prof. Hamad Al-Sawalqah teaches Software Engineering on Sundays, Tuesdays, and Thursdays: Lab 204 from 9:30–10:30 AM and Lab 206 from 1:30–2:30 PM.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 168, "language": "English", "was_translated": false }, { "text": "Prof. Hamad Al-Sawalqah teaches Systems Analysis and Design on Sundays, Tuesdays, and Thursdays from 10:30 to 11:30 AM in Room 203.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 169, "language": "English", "was_translated": false }, { "text": "Prof. Hamad Al-Sawalqah teaches Software Engineering on Mondays and Wednesdays from 10:00 to 11:30 AM in Lab 207.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 170, "language": "English", "was_translated": false }, { "text": "Prof. Hamad Al-Sawalqah teaches Software Engineering for PhD students on Mondays from 4:00 to 7:00 PM in Room 001.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 171, "language": "English", "was_translated": false }, { "text": "Prof. Hamad Al-Sawalqah office hours: Sundays, Tuesdays, and Thursdays from 12:30 to 1:30 PM. Also Mondays and Wednesdays from 9:30 to 10:00 AM. All combined with academic advising.", "source": "faculty_schedules_UJ_2025_2026.docx", "chunk_id": 172, "language": "English", "was_translated": false }, { "text": "Academic Calendar University of Jordan Second Semester 2025 2026 Overview of the Second Semester 2025 2026 This document presents the official academic calendar for the Second Semester of the academic year 2025 2026 at the University of Jordan.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 1, "language": "English", "was_translated": false }, { "text": "cademic calendar for the Second Semester of the academic year 2025 2026 at the University of Jordan. It serves as the authoritative reference for all key dates governing the academic cycle, including the start of teaching, registration periods, examination schedules, grade submission deadlines, and graduation ceremonies.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 2, "language": "English", "was_translated": false }, { "text": "registration periods, examination schedules, grade submission deadlines, and graduation ceremonies. The calendar has been structured to support retrieval-augmented generation (RAG) systems and to provide clear, self-contained information for students, faculty, and administrative staff.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 3, "language": "English", "was_translated": false }, { "text": "ms and to provide clear, self-contained information for students, faculty, and administrative staff. The University of Jordan follows a structured semester system in which administrative and academic events are sequenced to ensure smooth operation of all academic programs.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 4, "language": "English", "was_translated": false }, { "text": "dministrative and academic events are sequenced to ensure smooth operation of all academic programs. The second semester of 2025 2026 spans from mid-February 2026 through the graduation week in August 2026, encompassing teaching weeks, official public holidays, midterm and final examination periods, and grade submission processes for both undergraduate and graduate levels.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 5, "language": "English", "was_translated": false }, { "text": "inal examination periods, and grade submission processes for both undergraduate and graduate levels. Start of Semester and Add/Drop Period The official start of work for faculty members in the Second Semester of 2025 2026 is Sunday, February 15, 2026.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 6, "language": "English", "was_translated": false }, { "text": "start of work for faculty members in the Second Semester of 2025 2026 is Sunday, February 15, 2026. This date marks the beginning of administrative and academic duties for all teaching staff at the University of Jordan before classes formally commence.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 7, "language": "English", "was_translated": false }, { "text": "academic duties for all teaching staff at the University of Jordan before classes formally commence. Faculty members are expected to be present and available from this date onward for department meetings, course preparations, and student advising sessions.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 8, "language": "English", "was_translated": false }, { "text": "e from this date onward for department meetings, course preparations, and student advising sessions. The Add/Drop week during which students may modify their course registrations takes place from Sunday, February 15, 2026, to Thursday, February 19, 2026. This five-day window allows students to enroll in new courses, drop existing ones, or make other schedule adjustments.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 9, "language": "English", "was_translated": false }, { "text": "ow allows students to enroll in new courses, drop existing ones, or make other schedule adjustments. The Add/Drop period is open to both undergraduate and graduate students, and any changes made during this week are processed through the Admissions and Registration Unit of the University of Jordan. Teaching in the Second Semester of 2025 2026 officially begins on Sunday, February 22, 2026.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 10, "language": "English", "was_translated": false }, { "text": "Jordan. Teaching in the Second Semester of 2025 2026 officially begins on Sunday, February 22, 2026. This date also marks the start of the Completion Week, which runs from Sunday, February 22, 2026, through Thursday, February 26, 2026. During this week, instructors begin delivering course content as per the approved academic schedule, and attendance is required for all registered students.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 11, "language": "English", "was_translated": false }, { "text": "ntent as per the approved academic schedule, and attendance is required for all registered students. Official Public Holidays During the Second Semester The academic calendar of the Second Semester 2025 2026 includes several official public holidays during which the University of Jordan is closed and no academic activities take place.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 12, "language": "English", "was_translated": false }, { "text": "blic holidays during which the University of Jordan is closed and no academic activities take place. The first major holiday is Eid Al-Fitr (estimated), observed from Friday, March 20, 2026, to Monday, March 23, 2026. This four-day holiday marks the end of Ramadan and is one of the most significant Islamic celebrations.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 13, "language": "English", "was_translated": false }, { "text": "s four-day holiday marks the end of Ramadan and is one of the most significant Islamic celebrations. The actual dates may be adjusted slightly based on the official sighting of the moon. Labour Day is observed on Friday, May 1, 2026, as a one-day public holiday.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 14, "language": "English", "was_translated": false }, { "text": "al sighting of the moon. Labour Day is observed on Friday, May 1, 2026, as a one-day public holiday. Independence Day falls on Monday, May 25, 2026, commemorating Jordanian national independence and resulting in a full university closure for that day.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 15, "language": "English", "was_translated": false }, { "text": "mmemorating Jordanian national independence and resulting in a full university closure for that day. These two holidays occur toward the later portion of the teaching period and may affect lecture scheduling for courses with sessions on those specific days of the week. Eid Al-Adha (estimated) is a multi-day holiday spanning from Tuesday, May 26, 2026, to Saturday, May 30, 2026.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 16, "language": "English", "was_translated": false }, { "text": "a (estimated) is a multi-day holiday spanning from Tuesday, May 26, 2026, to Saturday, May 30, 2026. This is one of the most important Islamic holidays and results in a five-day closure of the University of Jordan. As with Eid Al-Fitr, the exact dates are subject to confirmation based on the lunar calendar.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 17, "language": "English", "was_translated": false }, { "text": "ordan. As with Eid Al-Fitr, the exact dates are subject to confirmation based on the lunar calendar. The Islamic New Year (Hijri New Year, estimated) falls on Tuesday, June 16, 2026, providing an additional one-day public holiday near the end of the teaching semester.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 18, "language": "English", "was_translated": false }, { "text": "June 16, 2026, providing an additional one-day public holiday near the end of the teaching semester. Midterm Examinations The midterm examination period for the Second Semester of 2025 2026 is scheduled to run from Sunday, April 12, 2026, to Thursday, April 23, 2026.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 19, "language": "English", "was_translated": false }, { "text": "Semester of 2025 2026 is scheduled to run from Sunday, April 12, 2026, to Thursday, April 23, 2026. During this two-week window, faculty members administer midterm assessments across all courses as per the examination timetable approved by each college. Midterm exams are held Sunday through Thursday to align with the standard working week at the University of Jordan.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 20, "language": "English", "was_translated": false }, { "text": "re held Sunday through Thursday to align with the standard working week at the University of Jordan. Midterm examinations are a compulsory component of the academic assessment structure at the University of Jordan and typically account for a portion of a student's final course grade. Students are required to follow the officially announced exam schedule for each course.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 21, "language": "English", "was_translated": false }, { "text": "ourse grade. Students are required to follow the officially announced exam schedule for each course. Any requests for makeup exams or exceptional arrangements must be directed to the relevant academic department and processed in accordance with university regulations.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 22, "language": "English", "was_translated": false }, { "text": "irected to the relevant academic department and processed in accordance with university regulations. Summer Semester Registration and End of Teaching Registration for courses in the Summer Semester of 2025 2026 begins on Sunday, April 26, 2026. This date allows students to plan ahead and secure their course selections for the summer academic term while the second semester is still in progress.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 23, "language": "English", "was_translated": false }, { "text": "their course selections for the summer academic term while the second semester is still in progress. Students are encouraged to consult with their academic advisors before completing summer registration to ensure they select appropriate courses that align with their degree requirements. The last day of teaching in the Second Semester of 2025 2026 is Sunday, June 7, 2026.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 24, "language": "English", "was_translated": false }, { "text": "requirements. The last day of teaching in the Second Semester of 2025 2026 is Sunday, June 7, 2026. All course-related instruction, including lectures, labs, and tutorials, must be completed by this date. The deadline for withdrawal from individual courses or from the entire second semester applicable to both undergraduate and graduate students is Monday, June 8, 2026.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 25, "language": "English", "was_translated": false }, { "text": "tire second semester applicable to both undergraduate and graduate students is Monday, June 8, 2026. After this date, no further withdrawals are permitted, and students who do not formally withdraw will receive grades based on their academic performance. Final Examinations The final examination period for the Second Semester of 2025 2026 runs from Tuesday, June 9, 2026, to Monday, June 22, 2026.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 26, "language": "English", "was_translated": false }, { "text": "riod for the Second Semester of 2025 2026 runs from Tuesday, June 9, 2026, to Monday, June 22, 2026. This fourteen-day window covers all faculties and programs at the University of Jordan, with exams scheduled from Sunday through Thursday on working days.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 27, "language": "English", "was_translated": false }, { "text": "rams at the University of Jordan, with exams scheduled from Sunday through Thursday on working days. Final examinations are comprehensive assessments that evaluate student mastery of course material across the entire semester and carry significant weight in determining final grades. Students must adhere strictly to the final examination schedule published by the Admissions and Registration Unit.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 28, "language": "English", "was_translated": false }, { "text": "adhere strictly to the final examination schedule published by the Admissions and Registration Unit. Absence from a final examination without an approved excuse may result in a failing grade for that course.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 29, "language": "English", "was_translated": false }, { "text": "e from a final examination without an approved excuse may result in a failing grade for that course. All examination-related concerns, including scheduling conflicts or requests for accommodation, must be addressed through the appropriate academic channels well in advance of the examination period. No changes to the final exam schedule are made after it has been officially published.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 30, "language": "English", "was_translated": false }, { "text": "ation period. No changes to the final exam schedule are made after it has been officially published. Grade Submission and Academic Decisions Following the conclusion of the final examinations, faculty members at the University of Jordan are required to submit their examination results to the respective college by 1:00 PM on Tuesday, June 23, 2026.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 31, "language": "English", "was_translated": false }, { "text": "to submit their examination results to the respective college by 1:00 PM on Tuesday, June 23, 2026. This deadline is strictly enforced to allow sufficient time for administrative processing and verification of grades before they are forwarded to the Admissions and Registration Unit.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 32, "language": "English", "was_translated": false }, { "text": "essing and verification of grades before they are forwarded to the Admissions and Registration Unit. Faculty members who fail to submit grades on time may be subject to administrative follow-up by their department head or dean. The deadline for submitting final examination results for the Second Semester of 2025 2026 to the Admissions and Registration Unit is Wednesday, June 24, 2026, at 1:00 PM.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 33, "language": "English", "was_translated": false }, { "text": "mester of 2025 2026 to the Admissions and Registration Unit is Wednesday, June 24, 2026, at 1:00 PM. On the same date, college councils must submit their recommendations regarding the conferral of academic degrees and certificates to the Council of Deans.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 34, "language": "English", "was_translated": false }, { "text": "ecommendations regarding the conferral of academic degrees and certificates to the Council of Deans. These recommendations are reviewed and ratified by the Council of Deans, which issues its formal decision on the granting of academic degrees on Monday, June 29, 2026.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 35, "language": "English", "was_translated": false }, { "text": "eans, which issues its formal decision on the granting of academic degrees on Monday, June 29, 2026. Inter-Semester Student Holiday The inter-semester holiday for students is scheduled from Tuesday, June 23, 2026, to Thursday, July 9, 2026. During this period, students are on an official break between the conclusion of the Second Semester and the beginning of the Summer Semester of 2025 2026.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 36, "language": "English", "was_translated": false }, { "text": "between the conclusion of the Second Semester and the beginning of the Summer Semester of 2025 2026. This holiday provides students with time to rest, review their academic results, and prepare for upcoming summer coursework or other commitments. University administrative offices and faculty remain operational during portions of this period to process grades and handle graduation-related matters.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 37, "language": "English", "was_translated": false }, { "text": "operational during portions of this period to process grades and handle graduation-related matters. Graduation Week Graduation Week for the academic year 2025 2026 is scheduled from Thursday, July 30, 2026, to Saturday, August 8, 2026. All faculty members of the University of Jordan are required to attend the graduation ceremony held during this week.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 38, "language": "English", "was_translated": false }, { "text": "rs of the University of Jordan are required to attend the graduation ceremony held during this week. The graduation event celebrates the completion of academic programs by students across all colleges and departments, representing the culmination of their undergraduate or graduate studies.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 39, "language": "English", "was_translated": false }, { "text": "l colleges and departments, representing the culmination of their undergraduate or graduate studies. Attendance by teaching staff is considered an institutional obligation and reflects the faculty's commitment to recognizing student achievement.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 40, "language": "English", "was_translated": false }, { "text": "n institutional obligation and reflects the faculty's commitment to recognizing student achievement. The graduation ceremony at the University of Jordan is a formal academic event that brings together graduates, faculty, administrative staff, families, and honored guests.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 41, "language": "English", "was_translated": false }, { "text": "c event that brings together graduates, faculty, administrative staff, families, and honored guests. Graduates who have successfully completed the requirements of their respective degree programs and whose names have been approved by the Council of Deans are eligible to participate.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 42, "language": "English", "was_translated": false }, { "text": "ree programs and whose names have been approved by the Council of Deans are eligible to participate. The precise schedule and logistical arrangements for each college's ceremony within Graduation Week are communicated separately by the university administration closer to the event date.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 43, "language": "English", "was_translated": false }, { "text": "aduation Week are communicated separately by the university administration closer to the event date.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 44, "language": "English", "was_translated": false }, { "text": "1. School King Abdullah II School for Information Technology 2. Department Artificial Intelligence 3. Program title (Arabic) الذكاء االصطناعي 4. Program title (English) Artificial Intelligence 5.", "source": "AI-English (2022).pdf", "chunk_id": 1, "language": "English", "was_translated": false }, { "text": "nce 3. Program title (Arabic) الذكاء االصطناعي 4. Program title (English) Artificial Intelligence 5.", "source": "AI-English (2022).pdf", "chunk_id": 2, "language": "Mixed", "was_translated": false }, { "text": "Components of Curriculum: The curriculum for the bachelor s degree in Artificial Intelligence Program consists of (132) credit hours distributed as follows Number Type of requirement credit hours First University Requirements 27 Second School courses 24 Third Specialty courses: (Obligatory specialty courses) 69 (Elective specialty courses) 12 Fourth - 0 Total 132 6.", "source": "AI-English (2022).pdf", "chunk_id": 3, "language": "English", "was_translated": false }, { "text": "y courses: (Obligatory specialty courses) 69 (Elective specialty courses) 12 Fourth - 0 Total 132 6. Numbering System: A- Department number Number Department 1 Computer Science (CS) 2 Computer Information Systems (CIS) 3 Business Information Systems (BIS) 4 Information Technology (IT) 5 Artificial Intelligence (AI) QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 4, "language": "English", "was_translated": false }, { "text": "ormation Systems (BIS) 4 Information Technology (IT) 5 Artificial Intelligence (AI) QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 5, "language": "English", "was_translated": false }, { "text": "2 Study Plan - Bachelors B- Course number Domain number Domain title Domain number Domain title 0 General 5 Applications 1 Programming Languages 6 Computer Networks and Data Communication 2 Fundamentals of AI and Data Science 7 Machine Learning 3 Embedded Systems and Robotics 8 Natural Language Processing 4 Computational Sciences and Algorithms 9 Special Topics and Project C- Course number", "source": "AI-English (2022).pdf", "chunk_id": 6, "language": "English", "was_translated": false }, { "text": "age Processing 4 Computational Sciences and Algorithms 9 Special Topics and Project C- Course number consists of 7 digits School Department Level Serial number 1 9 0 5 X X X 1 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 7, "language": "English", "was_translated": false }, { "text": "e number consists of 7 digits School Department Level Serial number 1 9 0 5 X X X 1 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 8, "language": "English", "was_translated": false }, { "text": "2 Study Plan- Bachelors First: University Requirements (27) credit hours distributed as follows: Preparation Program Requirements All students admitted to the university must apply for a degree examination in Arabic and English and the computer is prepared or approved by the university to determine their level.", "source": "AI-English (2022).pdf", "chunk_id": 9, "language": "English", "was_translated": false }, { "text": "bic and English and the computer is prepared or approved by the university to determine their level. Based on the results of the examinations, either the student will study one or more of the requirements of the preparatory program. (0 - 15 Credit Hours) Hours Course Notes Prerequisites Credit No. Course Title No.", "source": "AI-English (2022).pdf", "chunk_id": 10, "language": "English", "was_translated": false }, { "text": "paratory program. (0 - 15 Credit Hours) Hours Course Notes Prerequisites Credit No. Course Title No.", "source": "AI-English (2022).pdf", "chunk_id": 11, "language": "English", "was_translated": false }, { "text": "- - 0 0300150 Community Service 1 - - 0 1902098 Computer Skills Placement Test 2 Pass/Fail 1902098 3 1932099 Basics of Computing 3 - - 0 3201098 Arabic Placement Test 4 Pass/Fail 3201098 3 3201099 Basics of Arabic 5 Pass/Fail 3201099 3 3201100 Arabic Languages Skills 6 - - 0 3202098 English Placement Test 7 Pass/Fail 3202098 3 3202099 Basics of English 8 Pass/Fail 3202099 3 3202100 English", "source": "AI-English (2022).pdf", "chunk_id": 12, "language": "English", "was_translated": false }, { "text": "Placement Test 7 Pass/Fail 3202098 3 3202099 Basics of English 8 Pass/Fail 3202099 3 3202100 English Language Skills 9 Compulsory Requirements (18 Credit Hours) Hours Course Notes Prerequisites Credit No. Course Title No.", "source": "AI-English (2022).pdf", "chunk_id": 13, "language": "English", "was_translated": false }, { "text": "mpulsory Requirements (18 Credit Hours) Hours Course Notes Prerequisites Credit No. Course Title No.", "source": "AI-English (2022).pdf", "chunk_id": 14, "language": "English", "was_translated": false }, { "text": "3 0100 2 22 Military Sciences 1 3 3400100 National Culture 2 3 3410100 Ethics and Humans Values 3 1932099 / 3410100 3 3410101 Entrepreneurship Innovation and Scientific Research 4 1932099 / 3410100 3 3410102 Life And Practical Skills 5 1932099 / 3410100 3 3400103 Introduction to Philosophy and Critical Thinking 6 2 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 15, "language": "English", "was_translated": false }, { "text": "5 1932099 / 3410100 3 3400103 Introduction to Philosophy and Critical Thinking 6 2 QF-AQAC-02.03.1.2 Study Plan- Bachelors C- Electives (9 Credit Hours) Elective courses: (9) credit hours to be chosen from the first, second and third groups mentioned below. The student has to choose one course from each of the groups. (First Group) Notes Prerequisites Credit Hours Course No. Course Title No.", "source": "AI-English (2022).pdf", "chunk_id": 16, "language": "English", "was_translated": false }, { "text": "from each of the groups. (First Group) Notes Prerequisites Credit Hours Course No. Course Title No. - - 3 0400101 Islam and Contemporary Issues 1 - - 3 2300101 Arab-Islamic Civilization 2 - - 3 2300102 Jordan: History and Civilization 3 - - 3 3400107 Great Books 4 - - 3 3400108 Jerusalem 5 Electives (Second Group) Notes Prerequisites Credit Hours Course No. Course Title No.", "source": "AI-English (2022).pdf", "chunk_id": 17, "language": "English", "was_translated": false }, { "text": "08 Jerusalem 5 Electives (Second Group) Notes Prerequisites Credit Hours Course No. Course Title No. - - 3 0102 1 03 Environmental Culture and Development 1 - - 3 0400102 Islamic Culture 2 - - 3 0720100 Health Culture 3 - - 3 1000102 Legal Culture 4 - - 3 1100100 Physical Fitness Culture 5 Electives (Third Group) Notes Prerequisites Credit Hours Course No. Course Title No.", "source": "AI-English (2022).pdf", "chunk_id": 18, "language": "English", "was_translated": false }, { "text": "tness Culture 5 Electives (Third Group) Notes Prerequisites Credit Hours Course No. Course Title No. 3 1600100 Electronic Commerce 1 3 1900101 Social Media 2 3 2000100 Appreciation of Arts 3 3 2200103 Foreign Language 4 3 3400106 Special Subject 5 Second: School courses: distributed as follows: A. Obligatory school courses: (24) credit hours B.", "source": "AI-English (2022).pdf", "chunk_id": 19, "language": "English", "was_translated": false }, { "text": "5 Second: School courses: distributed as follows: A. Obligatory school courses: (24) credit hours B. Elective school courses: (0) credit hours 3 QF-AQAC-02.03.1.2 Study Plan- Bachelors A.", "source": "AI-English (2022).pdf", "chunk_id": 20, "language": "English", "was_translated": false }, { "text": "edit hours B. Elective school courses: (0) credit hours 3 QF-AQAC-02.03.1.2 Study Plan- Bachelors A.", "source": "AI-English (2022).pdf", "chunk_id": 21, "language": "English", "was_translated": false }, { "text": "Obligatory school courses: (24) credit hours: Contact Hours Credit Hours Course Number Course Title Pre- requisite Theoretical Practical 1901101 Discrete Mathematics 3 - 3 - Pass Qualifications Exam or 1932099 1931102 Computer Skills for Scientific Faculties 3 - 3 1904101 Fundamentals of Information Technology 3 - 3 - 1904120 Web Applications Development 3 3 1931102 1902110 Object-Oriented", "source": "AI-English (2022).pdf", "chunk_id": 22, "language": "English", "was_translated": false }, { "text": "ormation Technology 3 - 3 - 1904120 Web Applications Development 3 3 1931102 1902110 Object-Oriented Programming 3 3 1931102 1901242 Data Structures 3 - 3 1902110 1902224 Database Management Systems 3 - 3 1902110 1915101 Linear Algebra for Computational Sciences 3 - 3 0301101 1902390 Seminar-Road to Software Industry 2 - 0 Passing 45 hours B.", "source": "AI-English (2022).pdf", "chunk_id": 23, "language": "English", "was_translated": false }, { "text": "utational Sciences 3 - 3 0301101 1902390 Seminar-Road to Software Industry 2 - 0 Passing 45 hours B. Elective school courses: ( 0 ) credit hours: Third: Specialty courses: ( 81 ) credit hours distributed as follows: A. Obligatory specialty courses: ( 69 ) credit hours: 4 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 24, "language": "English", "was_translated": false }, { "text": "urs distributed as follows: A. Obligatory specialty courses: ( 69 ) credit hours: 4 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 25, "language": "English", "was_translated": false }, { "text": "2 Study Plan- Bachelors Contact Hours Course Numbe r Pre- requisite Theoretical Credit Course Title Practical Hours 301131 Principles of Statistics 3 - 3 - 301101 Calculus-1 3 - 3 - 1915111 AI Programming 3 - 3 1931102 1905120 Introduction to Artificial 3 - 3 1904101 Intelligence 1905220 Ethics of Artificial Intelligence and 3 - 3 1905120 Data Science 1905221 Knowledge Representation and 3 - 3", "source": "AI-English (2022).pdf", "chunk_id": 26, "language": "English", "was_translated": false }, { "text": "of Artificial Intelligence and 3 - 3 1905120 Data Science 1905221 Knowledge Representation and 3 - 3 1905120 Reasoning 1905222 Data Mining 3 - 3 1902224 1905320 Artificial Intelligence 3 - 3 1901242 1905321 Ontologies and Knowledge Graphs 3 - 3 1905221 1905322 Computer Vision 3 - 3 1915370 1905330 Embedded Systems 3 - 3 1901242 and 1905320 1905380 Natural Language Processing 3 - 3 1905320 1901341", "source": "AI-English (2022).pdf", "chunk_id": 27, "language": "English", "was_translated": false }, { "text": "Embedded Systems 3 - 3 1901242 and 1905320 1905380 Natural Language Processing 3 - 3 1905320 1901341 Theory of Algorithms 3 - 3 1901242 1901363 Computer Networks 3 - 3 1901242 1911322 Information Security and Privacy 3 - 3 1901363 and 1902224 1902353 Human Computer Interaction 3 - 3 1904120 1902372 Software Engineering 3 - 3 1902224 1915370 Machine Learning and Neural 3 - 3 1905222 Networks", "source": "AI-English (2022).pdf", "chunk_id": 28, "language": "English", "was_translated": false }, { "text": "902372 Software Engineering 3 - 3 1902224 1915370 Machine Learning and Neural 3 - 3 1905222 Networks 1905420 Cognitive Science 3 - 3 1905320 1905430 Internet of Things 3 - 3 1905320 and 1901363 1905431 Intelligent Robotics 3 - 3 1905330 1915471 Deep Learning 3 - 3 1915370 1905490 Training 6 Weeks 0 (Success 90 hours) 1905491 Project-1 - - 0 (Success 90 hours) 1905492 Project-2 - - 3 1905491 B.", "source": "AI-English (2022).pdf", "chunk_id": 29, "language": "English", "was_translated": false }, { "text": "s 0 (Success 90 hours) 1905491 Project-1 - - 0 (Success 90 hours) 1905492 Project-2 - - 3 1905491 B. Elective specialty courses: ( 12 ) credit hours: Course Title Contact Hours 5 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 30, "language": "English", "was_translated": false }, { "text": "91 B. Elective specialty courses: ( 12 ) credit hours: Course Title Contact Hours 5 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 31, "language": "English", "was_translated": false }, { "text": "2 Study Plan- Bachelors Credi Course Number Theoretical Practical Pre- requisite t Hours 1905310 Advanced AI Programming 3 - 3 1905111 1915241 Bioinformatics 3 - 3 1905222 1915251 Applied Statistics 3 - 3 301131 1905323 User Adaptive Systems 3 - 3 1905320 and 1902353 1915331 NoSQL Databases 3 - 3 1902224 1915341 Social Network Analysis 3 - 3 1905222 And 1901341 1905350 Knowledge Graphs 3 - 3", "source": "AI-English (2022).pdf", "chunk_id": 32, "language": "English", "was_translated": false }, { "text": "- 3 1902224 1915341 Social Network Analysis 3 - 3 1905222 And 1901341 1905350 Knowledge Graphs 3 - 3 1905321 Technologies and Applications 1915352 Healthcare and Medical Data Analytics 3 - 3 1905222 1915371 Pattern Recognition and 3 - 3 1905222 Information Analysis 1905381 Advanced Natural Language 3 - 3 1905380 Processing 1905382 Digital Speech Processing 3 - 3 1905320 1902383 Information", "source": "AI-English (2022).pdf", "chunk_id": 33, "language": "English", "was_translated": false }, { "text": "anguage 3 - 3 1905380 Processing 1905382 Digital Speech Processing 3 - 3 1905320 1902383 Information Technology 3 - 3 1902224 Entrepreneurship and Innovation 1915431 Big Data 3 3 1915370 1905432 Reinforcement learning 3 - 3 1905330 1905433 Intelligent Agents 3 - 3 1905431 1905434 Advanced Embedded Systems 3 - 3 1905330 1915441 Data Visualization 3 - 3 1915370 1905435 Brain-Computer Interaction 3", "source": "AI-English (2022).pdf", "chunk_id": 34, "language": "English", "was_translated": false }, { "text": "Systems 3 - 3 1905330 1915441 Data Visualization 3 - 3 1915370 1905435 Brain-Computer Interaction 3 - 3 1905320 1901444 Computational Problems and 3 - 3 1901341 Techniques 1905450 Game AI 3 - 3 1905320 1905452 Software Engineering for AI- 3 - 3 1905320 and 1902372 Enabled Systems 1905453 Virtual Reality 3 - 3 1905322 1905454 Multimedia Intelligent Systems 3 - 3 1905320 1915461 Cloud Computing 3", "source": "AI-English (2022).pdf", "chunk_id": 35, "language": "English", "was_translated": false }, { "text": "Reality 3 - 3 1905322 1905454 Multimedia Intelligent Systems 3 - 3 1905320 1915461 Cloud Computing 3 - 3 1905222 and 1901363 1904472 IT Project Management 3 - 3 1902372 1905480 Arabic Language Engineering 3 - 3 1905380 1915481 Model Deployment Frameworks 3 - 3 1915370 6 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 36, "language": "English", "was_translated": false }, { "text": "guage Engineering 3 - 3 1905380 1915481 Model Deployment Frameworks 3 - 3 1915370 6 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 37, "language": "NL", "was_translated": false }, { "text": "2 Study Plan- Bachelors 1911489 Security Intelligence 3 - 3 301131 and 1905320 1905493 Special Topics in Artificial 3 - 3 1905320 Intelligence Fourth: Courses offered by other faculties and departments Contact Hours Course Number Course Title Credit Hours Pre-requisite Theoretical Practical 1901101 Discrete Mathematics 3 - 3 - 1931102 3 - 3 Pass Qualifications Exam or 1902099 or (1901098) 1904101", "source": "AI-English (2022).pdf", "chunk_id": 38, "language": "English", "was_translated": false }, { "text": "Discrete Mathematics 3 - 3 - 1931102 3 - 3 Pass Qualifications Exam or 1902099 or (1901098) 1904101 Computer Skills for Scientific Faculties Fundamentals of Information Technology 3 - 3 - 1904120 Web Applications Development 3 - 3 1904101 1902110 Object-Oriented Programming 3 - 3 1931102 1901242 Data Structures 3 - 3 1931102 1902224 Database Management Systems 3 - 3 1901233 1902390 2 - 0 Passing", "source": "AI-English (2022).pdf", "chunk_id": 39, "language": "English", "was_translated": false }, { "text": "ata Structures 3 - 3 1931102 1902224 Database Management Systems 3 - 3 1901233 1902390 2 - 0 Passing 45 hours 301131 Principles of Statistics 3 - 3 - Seminar-Road to Software Industry 301101 Calculus-1 3 - 3 - 1901341 Theory of Algorithms 3 - 3 1901233 1901363 Computer Networks 3 - 3 1901242 1911322 Information Security and Privacy 3 - 3 1901363 and 1902224 1902353 Human-Computer Interaction 3 -", "source": "AI-English (2022).pdf", "chunk_id": 40, "language": "English", "was_translated": false }, { "text": "22 Information Security and Privacy 3 - 3 1901363 and 1902224 1902353 Human-Computer Interaction 3 - 3 1904120 1902372 Software Engineering 3 - 3 1902224 7 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 41, "language": "English", "was_translated": false }, { "text": "man-Computer Interaction 3 - 3 1904120 1902372 Software Engineering 3 - 3 1902224 7 QF-AQAC-02.03.1.2 Study Plan- Bachelors 1902383 Information Technology 3 - 3 1902224 Entrepreneurship and Innovation 1901444 Computational Problems and 3 - 3 1901341 Techniques 1904472 IT Project Management 3 - 3 1902372 1911489 Security Intelligence 3 - 3 301131 and 1905320 Fifth: Advisory Study Plan 8 QF-AQAC-02.", "source": "AI-English (2022).pdf", "chunk_id": 42, "language": "English", "was_translated": false }, { "text": "2372 1911489 Security Intelligence 3 - 3 301131 and 1905320 Fifth: Advisory Study Plan 8 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 43, "language": "English", "was_translated": false }, { "text": "1911489 Security Intelligence 3 - 3 301131 and 1905320 Fifth: Advisory Study Plan 8 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 44, "language": "English", "was_translated": false }, { "text": "2 Study Plan- Bachelors First Year First Semester Second Semester Course Number Course Title Credit Hours Course Number Course Title Credit Hours 1931102 Computer Skills for 3 1915101 Linear Algebra for Computational Sciences 3 Scientific Faculties 1904101 Fundamentals of Information Technology 3 1901242 Data Structures 3 0301101 Calculus-1 3 1905120 Introduction to Artificial Intelligence 3", "source": "AI-English (2022).pdf", "chunk_id": 45, "language": "English", "was_translated": false }, { "text": "y 3 1901242 Data Structures 3 0301101 Calculus-1 3 1905120 Introduction to Artificial Intelligence 3 1901101 Discrete Mathematics 3 1904120 Web Applications Development 3 - University requirement 3 - University requirement 3 Total 15 Total 15 Second Year First Semester Second Semester Course Credit Course Credit Course Title Course Title Number Hours Number Hours 1902224 Database Management", "source": "AI-English (2022).pdf", "chunk_id": 46, "language": "English", "was_translated": false }, { "text": "Credit Course Credit Course Title Course Title Number Hours Number Hours 1902224 Database Management Systems 3 1905222 Data Mining 3 0301131 Principles of Statistics 3 1905320 Artificial Intelligence 3 1902110 Object-Oriented Programming 3 1901341 Theory of Algorithms 3 Knowledge Representation and Reasoning 3 1905220 Ethics of Artificial Intelligence and Data Science 1905221 3 1915111 AI", "source": "AI-English (2022).pdf", "chunk_id": 47, "language": "English", "was_translated": false }, { "text": "tion and Reasoning 3 1905220 Ethics of Artificial Intelligence and Data Science 1905221 3 1915111 AI Programming 3 1915370 Machine Learning and Neural Networks 3 - University requirement 3 - University requirement 3 Total 18 Total 18 Third Year First Semester Second Semester 9 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 48, "language": "English", "was_translated": false }, { "text": "versity requirement 3 Total 18 Total 18 Third Year First Semester Second Semester 9 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 49, "language": "English", "was_translated": false }, { "text": "2 Study Plan- Bachelors Course Credit Course Credit Course Title Course Title Number Hours Number Hours 1905380 Natural Language Processing 3 1902372 Software Engineering 3 1905330 Embedded Systems 3 1905322 Computer Vision 3 1901363 Computer Networks 3 1902353 Human-Computer Interaction 3 1911322 Information Security and Privacy 3 1905321 Ontologies and Knowledge Graphs 3 - University", "source": "AI-English (2022).pdf", "chunk_id": 50, "language": "English", "was_translated": false }, { "text": "3 1911322 Information Security and Privacy 3 1905321 Ontologies and Knowledge Graphs 3 - University requirement 3 1902390 Seminar-Road to Software Industry 0 - Elective specialty course 3 - University requirement 3 - Elective specialty course 3 Total 18 Total 18 Fourth Year First Semester Second Semester Course Credit Course Credit Course Title Course Title Number Hours Number Hours 1905491", "source": "AI-English (2022).pdf", "chunk_id": 51, "language": "English", "was_translated": false }, { "text": "ond Semester Course Credit Course Credit Course Title Course Title Number Hours Number Hours 1905491 Project -1 0 1905492 Project -2 3 1905490 Training 0 1905420 Cognitive Science 3 1905430 Internet of Things 3 1905431 Intelligent Robotics 3 - University requirement 3 1915471 Deep Learning 3 - University requirement 3 - University requirement 3 Elective specialty course 3 - Elective specialty", "source": "AI-English (2022).pdf", "chunk_id": 52, "language": "English", "was_translated": false }, { "text": "University requirement 3 - University requirement 3 Elective specialty course 3 - Elective specialty course 3 Total 12 Total 18 *** Student can take training (1905490 with 0 credit hours) after completing 90 credit hours. A. Obligatory School Courses Description Course Number Course Title Credit Hours 10 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 53, "language": "English", "was_translated": false }, { "text": "A. Obligatory School Courses Description Course Number Course Title Credit Hours 10 QF-AQAC-02.03.1.2 Study Plan- Bachelors 1901101 Discrete Mathematics 3 Prerequisite: (None) Course Description This course studies the mathematical elements of computer science and their applications.", "source": "AI-English (2022).pdf", "chunk_id": 54, "language": "English", "was_translated": false }, { "text": "escription This course studies the mathematical elements of computer science and their applications. Topics include propositional logic; predicate logic; mathematical reasoning; techniques of proof; mathematical induction; set theory; number theory; matrices; sequences and summations; functions, relations and their properties, elementary graph theory, and tree (graph theory).", "source": "AI-English (2022).pdf", "chunk_id": 55, "language": "English", "was_translated": false }, { "text": "ations; functions, relations and their properties, elementary graph theory, and tree (graph theory). In each subject, its characteristics, forms, ways of representing it, the operations used in it, and ways of linking these subjects together are studied. Homework will be assigned.", "source": "AI-English (2022).pdf", "chunk_id": 56, "language": "English", "was_translated": false }, { "text": "ions used in it, and ways of linking these subjects together are studied. Homework will be assigned. Credit Hours Course Number Course Title Computer Skills for Scientific Faculties 1931102 3 Prerequisite: (Pass Qualifications Exam or 1932099) Course Description This course studies the fundamental concepts of programming using C++.", "source": "AI-English (2022).pdf", "chunk_id": 57, "language": "English", "was_translated": false }, { "text": "r 1932099) Course Description This course studies the fundamental concepts of programming using C++. Topics includes: basic structures of programming tools, like: variable names, data types, input and output statements, and output formatting. Files. Selection statements structures. Repetition statements structures. Functions. Enumeration datatype and strings data type. Arrays; 1D and 2D.", "source": "AI-English (2022).pdf", "chunk_id": 58, "language": "English", "was_translated": false }, { "text": "ion statements structures. Functions. Enumeration datatype and strings data type. Arrays; 1D and 2D. The lectures will be provided in the lab through active teaching methodologies individually or within groups.", "source": "AI-English (2022).pdf", "chunk_id": 59, "language": "English", "was_translated": false }, { "text": "res will be provided in the lab through active teaching methodologies individually or within groups. Course Number Course Title Fundamentals of Information Technology Credit Hours 3 Prerequisite: (None) 1904101 Course Description This course will introduce the fundamental knowledge of information technologies, and it works as an introductory course for computer-related courses.", "source": "AI-English (2022).pdf", "chunk_id": 60, "language": "English", "was_translated": false }, { "text": "ge of information technologies, and it works as an introductory course for computer-related courses. It is a combination between a theoretical and a practical course.", "source": "AI-English (2022).pdf", "chunk_id": 61, "language": "English", "was_translated": false }, { "text": "urse for computer-related courses. It is a combination between a theoretical and a practical course. In particular, the course provides students with a grounding knowledge on several areas of information technologies including cutting edge technologies, careers in IT, basic concepts of cloud computing and web technologies, and a general perceptive of project management.", "source": "AI-English (2022).pdf", "chunk_id": 62, "language": "English", "was_translated": false }, { "text": "ic concepts of cloud computing and web technologies, and a general perceptive of project management. Students are also going to be introduced practically to hardware maintenance, software diagnostics and technical support. In addition, critical thinking methodologies and techniques will be discussed, including numbering systems, flowcharts and related case studies.", "source": "AI-English (2022).pdf", "chunk_id": 63, "language": "English", "was_translated": false }, { "text": "and techniques will be discussed, including numbering systems, flowcharts and related case studies. Operating systems such as LINUX/UNIX with, memory allocation, and an introduction to networks and security, and block chain concepts. The final part is concerned with technical applications needed such as excel, advanced excel, technical writing, report generating and type writing.", "source": "AI-English (2022).pdf", "chunk_id": 64, "language": "English", "was_translated": false }, { "text": "cations needed such as excel, advanced excel, technical writing, report generating and type writing. Technical sections will be taught on lab sessions and group works. Active learning methodologies will be applied through role playing, presentations and problem-solving exercises. 11 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 65, "language": "English", "was_translated": false }, { "text": "ll be applied through role playing, presentations and problem-solving exercises. 11 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 66, "language": "English", "was_translated": false }, { "text": "2 Study Plan- Bachelors Credit Hours Course Number 1904120 Course Title Web Application development 3 Prerequisite: (1931102) Course Description This course aims to improve students ability in Front-End Web applications development using client-side programming such as HTML 5, Cascading Style Sheet (CSS3), JavaScript.", "source": "AI-English (2022).pdf", "chunk_id": 67, "language": "English", "was_translated": false }, { "text": "development using client-side programming such as HTML 5, Cascading Style Sheet (CSS3), JavaScript. In addition, the students will learn the fundamental concepts of front-end web development frameworks such as Bootstrap and React front-end frameworks. The course will cover the Bootstrap framework, which is the most popular CSS framework for creating responsive mobile-first websites.", "source": "AI-English (2022).pdf", "chunk_id": 68, "language": "English", "was_translated": false }, { "text": "ap framework, which is the most popular CSS framework for creating responsive mobile-first websites. This course will teach you how to create pages of a website using the Bootstrap v5 framework.", "source": "AI-English (2022).pdf", "chunk_id": 69, "language": "English", "was_translated": false }, { "text": "sites. This course will teach you how to create pages of a website using the Bootstrap v5 framework. In addition, the course also covers the basic concepts of the React framework such as Communicating with Props, Class- Based Components, State in React Components, Lifecycle Methods, Handling User Input with Forms and Events, Making API Requests with React, and Single Page Application Development.", "source": "AI-English (2022).pdf", "chunk_id": 70, "language": "English", "was_translated": false }, { "text": "nput with Forms and Events, Making API Requests with React, and Single Page Application Development. This course uses active teaching methodologies, such as weekly lab applied sessions, group work and technical projects.", "source": "AI-English (2022).pdf", "chunk_id": 71, "language": "English", "was_translated": false }, { "text": "tive teaching methodologies, such as weekly lab applied sessions, group work and technical projects. Credit Hours Course Number 1902110 Course Title Object-Oriented Programming 3 Prerequisite: (1931102) Course Description The course aims to cover the fundamental concepts of OOP, such as Encapsulation and Information- Hiding, Inheritance, Polymorphism, and Abstraction.", "source": "AI-English (2022).pdf", "chunk_id": 72, "language": "English", "was_translated": false }, { "text": "s of OOP, such as Encapsulation and Information- Hiding, Inheritance, Polymorphism, and Abstraction. The course uses Java Programming language starting from the basic Java syntax based on Eclipse IDE.", "source": "AI-English (2022).pdf", "chunk_id": 73, "language": "English", "was_translated": false }, { "text": "The course uses Java Programming language starting from the basic Java syntax based on Eclipse IDE.", "source": "AI-English (2022).pdf", "chunk_id": 74, "language": "English", "was_translated": false }, { "text": "It focuses on the understanding and practical mastery of OOP principles and Java components, such as classes, objects, input/output, scanner objects (to read either from the keyboard or a file), loops, decision-making, array and multidimensional array, data abstraction, methods, method overloading, objects garbage-collector, an introduction to exception-handling, etc.", "source": "AI-English (2022).pdf", "chunk_id": 75, "language": "English", "was_translated": false }, { "text": "methods, method overloading, objects garbage-collector, an introduction to exception-handling, etc. Finally, it presents an introduction to JavaFX and its hierarchy based on Java inheritance OOP concepts, for developing rich client applications. Lectures will be given in the lab for practical application. This course is assessed through exams, practical tests and assignments.", "source": "AI-English (2022).pdf", "chunk_id": 76, "language": "English", "was_translated": false }, { "text": "b for practical application. This course is assessed through exams, practical tests and assignments. Credit Hours Course Number Course Title Data Structures 1901242 3 Prerequisite: (1902110) 12 QF-AQAC-02.03.1.2 Study Plan- Bachelors Course Description This course introduces the students to the concepts of data structures. Topics includes: Pointers, and pointer operations.", "source": "AI-English (2022).pdf", "chunk_id": 77, "language": "English", "was_translated": false }, { "text": "the students to the concepts of data structures. Topics includes: Pointers, and pointer operations. Array implementation of lists, stacks, and queues. Dynamic implementation of lists (singly, doubly, circular), stack operations and queue operations (and their implementation as linked lists). STL, like: vectors, pairs, maps, sets, lists, stacks, queue. Recursion.", "source": "AI-English (2022).pdf", "chunk_id": 78, "language": "English", "was_translated": false }, { "text": "ementation as linked lists). STL, like: vectors, pairs, maps, sets, lists, stacks, queue. Recursion. Tree dynamic, like binary search trees, segment, red-black, AVL trees. Hash Table and Collision resolution. Weekly lab assignments will be given to the students and to be discussed through active teaching methodologies, in addition to problem-solving tasks.", "source": "AI-English (2022).pdf", "chunk_id": 79, "language": "English", "was_translated": false }, { "text": "nts and to be discussed through active teaching methodologies, in addition to problem-solving tasks.", "source": "AI-English (2022).pdf", "chunk_id": 80, "language": "English", "was_translated": false }, { "text": "Credit Hours Course Number Course Title Database Management Systems 1902224 3 Prerequisite: (1902110) Course Description The course aims to provide students with an overview of database management system architecture and environment, an understanding of the basic database design and implementation techniques, and a practical experience of designing and building relational databases.", "source": "AI-English (2022).pdf", "chunk_id": 81, "language": "English", "was_translated": false }, { "text": "mplementation techniques, and a practical experience of designing and building relational databases. Furthermore, it enables applying conceptual design methodologies for databases and learning about the architecture and environments of the database management system.", "source": "AI-English (2022).pdf", "chunk_id": 82, "language": "English", "was_translated": false }, { "text": "or databases and learning about the architecture and environments of the database management system. Students will practice using database tools to create and manage database schemas systems and formulate DDL, DML commands and run SQL queries. Advanced SQL topics such as creating database functions, database Stored Procedures and database Triggers will be covered.", "source": "AI-English (2022).pdf", "chunk_id": 83, "language": "English", "was_translated": false }, { "text": "ch as creating database functions, database Stored Procedures and database Triggers will be covered. Also, students will learn how to manage database privileges and design suitable security and integrity constraints for database schemas.", "source": "AI-English (2022).pdf", "chunk_id": 84, "language": "English", "was_translated": false }, { "text": "age database privileges and design suitable security and integrity constraints for database schemas. Furthermore, the course will provide the students with practice project to connect a relational DB using a programming language, in addition to practice using basic Oracle Forms and Oracle Reports.", "source": "AI-English (2022).pdf", "chunk_id": 85, "language": "English", "was_translated": false }, { "text": "B using a programming language, in addition to practice using basic Oracle Forms and Oracle Reports. This course will use a combination of traditional lectures, active teaching methodologies, and hands-on lab lectures. Credit Hours Course Number Course Title Linear Algebra for Computational Sciences 1915101 3 Prerequisite: (0301101) 13 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 86, "language": "English", "was_translated": false }, { "text": "itle Linear Algebra for Computational Sciences 1915101 3 Prerequisite: (0301101) 13 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 87, "language": "English", "was_translated": false }, { "text": "2 Study Plan- Bachelors Course Description The course uses linear algebra as one of the most important tools in applied mathematics, data science, and artificial intelligence to help students learn how to handle vectors and matrices, solve matrix-vector equations, perform Eigen value and Eigen vector and diagonalization analyses and use principal component analysis to do dimension reduction on", "source": "AI-English (2022).pdf", "chunk_id": 88, "language": "English", "was_translated": false }, { "text": "ector and diagonalization analyses and use principal component analysis to do dimension reduction on real-world datasets.", "source": "AI-English (2022).pdf", "chunk_id": 89, "language": "English", "was_translated": false }, { "text": "tion analyses and use principal component analysis to do dimension reduction on real-world datasets.", "source": "AI-English (2022).pdf", "chunk_id": 90, "language": "English", "was_translated": false }, { "text": "It covers topics such as: solving systems of linear equations; matrices and matrix operations; homogeneous and non- homogeneous systems; Gaussian elimination; elementary matrices and a method for finding A 1; determinants; Euclidean vector spaces; linear transformations from Rn to Rm and their properties; general vector spaces; subspaces; basis; dimension; row space; column space; null space of", "source": "AI-English (2022).pdf", "chunk_id": 91, "language": "English", "was_translated": false }, { "text": "operties; general vector spaces; subspaces; basis; dimension; row space; column space; null space of a matrix; rank and nullity; and inner product spaces. All analysis will be performed in python or any similar popular programming language. Lectures will be given in the lab for practical application. This course is assessed through exams, practical tests and assignments.", "source": "AI-English (2022).pdf", "chunk_id": 92, "language": "English", "was_translated": false }, { "text": "b for practical application. This course is assessed through exams, practical tests and assignments. Credit Hours Course Number Course Title Seminar-Road to Software Industry 1902390 3 Prerequisite: (Passing 45 hours) Course Description IT students increasingly demand and require coverage of emerging technologies to prepare themselves for subsequent employment and research.", "source": "AI-English (2022).pdf", "chunk_id": 93, "language": "English", "was_translated": false }, { "text": "uire coverage of emerging technologies to prepare themselves for subsequent employment and research. Industry and professional bodies are also concerned that IT education does not always prepare students adequately for the world of work.", "source": "AI-English (2022).pdf", "chunk_id": 94, "language": "English", "was_translated": false }, { "text": "also concerned that IT education does not always prepare students adequately for the world of work.", "source": "AI-English (2022).pdf", "chunk_id": 95, "language": "English", "was_translated": false }, { "text": "This professional practice seminar course aims to contribute to solving these two issues by providing real- world experiences, inspiring students to choose their career path, and exposing them to the trends, methods, and techniques that are of current interest in software industry through a weekly seminar series.", "source": "AI-English (2022).pdf", "chunk_id": 96, "language": "English", "was_translated": false }, { "text": "s, and techniques that are of current interest in software industry through a weekly seminar series. Professionals from software companies are invited to present different aspects of their companies and to share their first-hand experience with students. This course can enhance IT education and motivate students by covering leading-edge technologies and practices.", "source": "AI-English (2022).pdf", "chunk_id": 97, "language": "English", "was_translated": false }, { "text": "can enhance IT education and motivate students by covering leading-edge technologies and practices. After each seminar, students will submit a personal evaluation and short reports relevant to the seminar s presentation. Attendance and participation in 8 seminars, including the evaluation of each seminar and the short reports are the minimum requirements to pass the course. 14 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 98, "language": "English", "was_translated": false }, { "text": "h seminar and the short reports are the minimum requirements to pass the course. 14 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 99, "language": "English", "was_translated": false }, { "text": "2 Study Plan- Bachelors B- Obligatory Courses Description Credit Hours Course Number Course Title Principles of Statistics 0301131 3 Prerequisite: (None) Course Description Describing statistical data by tables, graphs and numerical measures, Chebychev s inequality and the empirical rule, counting methods, combinations, permutations, elements of probability and random variables, the binomial, the", "source": "AI-English (2022).pdf", "chunk_id": 100, "language": "English", "was_translated": false }, { "text": "methods, combinations, permutations, elements of probability and random variables, the binomial, the Poisson, and the normal distributions, sampling distributions, elements of testing hypotheses, statistical inference about one and two populations parameters Credit Hours Course Number Course Title 0301101 Calculus-1 3 Prerequisite: (None) Course Description Functions: domain, operations on", "source": "AI-English (2022).pdf", "chunk_id": 101, "language": "English", "was_translated": false }, { "text": "Title 0301101 Calculus-1 3 Prerequisite: (None) Course Description Functions: domain, operations on functions, graphs of functions; trigonometric functions; limits: meaning of a limit, computational techniques, limits at infinity, infinite limits; continuity; limits and continuity of trigonometric functions; the derivative: techniques of differentiation, derivatives of trigonometric functions;", "source": "AI-English (2022).pdf", "chunk_id": 102, "language": "English", "was_translated": false }, { "text": "ic functions; the derivative: techniques of differentiation, derivatives of trigonometric functions; the chain rule; implicit differentiation; differentials; Roll s Theorem; the mean value theorem; the extended mean value theorem; L Hopital s rule; increasing and decreasing functions; concavity; maximum and minimum values of a function; graphs of functions including rational functions", "source": "AI-English (2022).pdf", "chunk_id": 103, "language": "English", "was_translated": false }, { "text": "oncavity; maximum and minimum values of a function; graphs of functions including rational functions (asymptotes) and functions with vertical tangents (cusps); antiderivatives; the indefinite integral; the definite integral; the fundamental theorem of calculus ; the area under a curve; the area between two curves; transcendental functions: inverse functions, logarithmic and exponential functions;", "source": "AI-English (2022).pdf", "chunk_id": 104, "language": "English", "was_translated": false }, { "text": "ween two curves; transcendental functions: inverse functions, logarithmic and exponential functions; derivatives and integrals; limits (the indeterminate forms); hyperbolic functions and their inverses; inverse trigonometric functions. 15 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 105, "language": "English", "was_translated": false }, { "text": "orms); hyperbolic functions and their inverses; inverse trigonometric functions. 15 QF-AQAC-02.03.1.2 Study Plan- Bachelors Credit Hours Course Number Course Title AI Programming 1915111 3 Prerequisite: (1931102) Course Description This course builds programming skills for students which is required develop and implement applications and algorithms of Artificial Intelligence and data science.", "source": "AI-English (2022).pdf", "chunk_id": 106, "language": "English", "was_translated": false }, { "text": "uired develop and implement applications and algorithms of Artificial Intelligence and data science. This course will focus on programming using Python 3 https://www.python.org/. Python is high-level programming language like Java, C++, or C#. This course provides students with the required skills to solve problems by implementing programs using Python.", "source": "AI-English (2022).pdf", "chunk_id": 107, "language": "English", "was_translated": false }, { "text": "provides students with the required skills to solve problems by implementing programs using Python. Topics include: fundamentals of Python programming, Object-Oriented programming using Python, Data Structures and Algorithms, and Python packages. This course is a lab-based course which includes in-class practical assignments and tasks.", "source": "AI-English (2022).pdf", "chunk_id": 108, "language": "English", "was_translated": false }, { "text": "packages. This course is a lab-based course which includes in-class practical assignments and tasks. The course will also briefly introduce other programming languages such as Lisp and Prolog. This course will use a combination of lectures, group discussions, case studies analysis, and hands-on work.", "source": "AI-English (2022).pdf", "chunk_id": 109, "language": "English", "was_translated": false }, { "text": "rse will use a combination of lectures, group discussions, case studies analysis, and hands-on work. Credit Hours Course Number Course Title Introduction to Artificial Intelligence 1905120 3 Prerequisite: (1904101) Course Description The aim of the course is to bring to the awareness of students the different research areas and aspects of artificial intelligence.", "source": "AI-English (2022).pdf", "chunk_id": 110, "language": "English", "was_translated": false }, { "text": "ng to the awareness of students the different research areas and aspects of artificial intelligence. students will be shown (1) how to express knowledge of a simple domain in first-order predicate calculus and how to solve problems using explicit knowledge and reasoning, and how to develop an expert system.", "source": "AI-English (2022).pdf", "chunk_id": 111, "language": "English", "was_translated": false }, { "text": "d how to solve problems using explicit knowledge and reasoning, and how to develop an expert system. Students will (1) be familiarized with the notion of search and (2) shown how to use some appropriate search techniques (blind or heuristic) for some problems.", "source": "AI-English (2022).pdf", "chunk_id": 112, "language": "English", "was_translated": false }, { "text": "and (2) shown how to use some appropriate search techniques (blind or heuristic) for some problems. The students will also be given some grounding in the principal techniques of data mining and be introduced to some applications of data mining. Students will be introduced to some learning techniques to help obtain a clear picture of the concepts of machine learning.", "source": "AI-English (2022).pdf", "chunk_id": 113, "language": "English", "was_translated": false }, { "text": "uced to some learning techniques to help obtain a clear picture of the concepts of machine learning. Active learning methodologies will be applied through role playing, presentations and problem-solving exercises. Course Number Course Title Ethics of Artificial Intelligence and Data Science Credit Hours 1905220 16 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 114, "language": "English", "was_translated": false }, { "text": "se Title Ethics of Artificial Intelligence and Data Science Credit Hours 1905220 16 QF-AQAC-02.03.1.2 Study Plan- Bachelors 3 Prerequisite: (1905120) Course Description This course focuses on ethical issues in computing special in Artificial Intelligence (AI) and Data Science (DS). The main themes are privacy, fairness/bias, and explainability in AI and DS.", "source": "AI-English (2022).pdf", "chunk_id": 115, "language": "English", "was_translated": false }, { "text": "and Data Science (DS). The main themes are privacy, fairness/bias, and explainability in AI and DS. The objectives are to learn how to identify and measure these aspects in the outputs of algorithms, and how to build algorithms that correct these issues.", "source": "AI-English (2022).pdf", "chunk_id": 116, "language": "English", "was_translated": false }, { "text": "e these aspects in the outputs of algorithms, and how to build algorithms that correct these issues. The course will follow a case-study-based approach, where we will examine these aspects by considering real-world case studies for each of these ethical issues.", "source": "AI-English (2022).pdf", "chunk_id": 117, "language": "English", "was_translated": false }, { "text": "will examine these aspects by considering real-world case studies for each of these ethical issues. It is intended to give students a chance to reflect on the ethical, social, and cultural impact of AI by focusing on the issues faced by and brought about by professionals in AI but also by citizens, institutions, and societies.", "source": "AI-English (2022).pdf", "chunk_id": 118, "language": "English", "was_translated": false }, { "text": "faced by and brought about by professionals in AI but also by citizens, institutions, and societies. Specific topics addressed in the course include the technical, safety-related, and economic implications of AI-enabled automation.", "source": "AI-English (2022).pdf", "chunk_id": 119, "language": "English", "was_translated": false }, { "text": "he course include the technical, safety-related, and economic implications of AI-enabled automation. Specific sub-areas include transportation, manufacturing, journalism, legal advising, and military applications; AI- endowed advisory tools in areas such as environmental and resource planning; biases and mediocrities in AIs, which can reinforce human prejudice.", "source": "AI-English (2022).pdf", "chunk_id": 120, "language": "English", "was_translated": false }, { "text": "onmental and resource planning; biases and mediocrities in AIs, which can reinforce human prejudice. Furthermore, this course covers ethical writing through many practical skills including referencing styles, citation (i.e.", "source": "AI-English (2022).pdf", "chunk_id": 121, "language": "English", "was_translated": false }, { "text": "se covers ethical writing through many practical skills including referencing styles, citation (i.e., Endnote, Mendeley, RefWorks, and Zotero), quotation, and also through the awareness of the good document requirements, plagiarism forms, copyrights, fair use, creative commons, and intellectual property rights.", "source": "AI-English (2022).pdf", "chunk_id": 122, "language": "English", "was_translated": false }, { "text": "rements, plagiarism forms, copyrights, fair use, creative commons, and intellectual property rights. This course will use a combination of lectures, class discussions, reading and writing assignments, case studies analysis, and hands-on work.", "source": "AI-English (2022).pdf", "chunk_id": 123, "language": "English", "was_translated": false }, { "text": "tures, class discussions, reading and writing assignments, case studies analysis, and hands-on work. Credit Hours Course Number Course Title Knowledge Representation and Reasoning 1905221 3 Prerequisite: (1905120) Course Description In this course, we discuss the formalization of knowledge and its processing within machines.", "source": "AI-English (2022).pdf", "chunk_id": 124, "language": "English", "was_translated": false }, { "text": "iption In this course, we discuss the formalization of knowledge and its processing within machines. We shall show how to design and develop computer systems (Knowledge-based systems) that can draw conclusions (using reasoning), similar to human reasoning where knowledge is represented in a machine-interpretable form.", "source": "AI-English (2022).pdf", "chunk_id": 125, "language": "English", "was_translated": false }, { "text": "asoning), similar to human reasoning where knowledge is represented in a machine-interpretable form. We shall examine many knowledge representation formalisms such as semantic networks, rule systems, classical logic (Resolution proofs), and description logic. We shall also show how to deal with incomplete information using defeasible reasoning.", "source": "AI-English (2022).pdf", "chunk_id": 126, "language": "English", "was_translated": false }, { "text": "iption logic. We shall also show how to deal with incomplete information using defeasible reasoning. This course will use a combination of lectures, class discussions, reading and writing assignments, case studies analysis, and hands-on work. Course Number Course Title Data Mining Credit Hours 1905222 17 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 127, "language": "English", "was_translated": false }, { "text": ", and hands-on work. Course Number Course Title Data Mining Credit Hours 1905222 17 QF-AQAC-02.03.1.2 Study Plan- Bachelors 3 Prerequisite: (1902224) Course Description This course provides the students with an introduction to data mining and knowledge discovery (KDD).", "source": "AI-English (2022).pdf", "chunk_id": 128, "language": "English", "was_translated": false }, { "text": "This course provides the students with an introduction to data mining and knowledge discovery (KDD). The course will focus on issues relating to the feasibility, usefulness, effectiveness, and scalability of techniques for the discovery of patterns hidden in large data sets.", "source": "AI-English (2022).pdf", "chunk_id": 129, "language": "English", "was_translated": false }, { "text": "ffectiveness, and scalability of techniques for the discovery of patterns hidden in large data sets.", "source": "AI-English (2022).pdf", "chunk_id": 130, "language": "English", "was_translated": false }, { "text": "The students will learn the basic concepts of data pre-processing, frequent pattern mining and association rules, sequential patterns, and sub-graph patterns; and explore their applications, Classification methods, such as decision trees, k-nearest neighbour, and Na ve Bayes, ensemble learning methods such as random forest etc.", "source": "AI-English (2022).pdf", "chunk_id": 131, "language": "English", "was_translated": false }, { "text": "on trees, k-nearest neighbour, and Na ve Bayes, ensemble learning methods such as random forest etc., outlier detection methods, such as Simple Statistical Methods and local outlier factor (LOF), cluster analysis techniques, such as k-means, hierarchical methods, and density-based methods.", "source": "AI-English (2022).pdf", "chunk_id": 132, "language": "English", "was_translated": false }, { "text": "LOF), cluster analysis techniques, such as k-means, hierarchical methods, and density-based methods. Active learning methodologies will be applied through role playing, presentations and problem-solving exercises.", "source": "AI-English (2022).pdf", "chunk_id": 133, "language": "English", "was_translated": false }, { "text": "ing methodologies will be applied through role playing, presentations and problem-solving exercises. Credit Hours Course Number Course Title Artificial Intelligence 1905320 3 Prerequisite: (1901242) Course Description The aim of the course is to enable students to solve problems using explicit knowledge and reasoning techniques and to develop expert systems for simple problems.", "source": "AI-English (2022).pdf", "chunk_id": 134, "language": "English", "was_translated": false }, { "text": "using explicit knowledge and reasoning techniques and to develop expert systems for simple problems.", "source": "AI-English (2022).pdf", "chunk_id": 135, "language": "English", "was_translated": false }, { "text": "Students will be able (1) to express knowledge of a simple domain in propositional and/or first-order predicate calculus, (2) to design and develop expert solutions to simple problems where AI techniques can be employed, and (3) to write simple programs in Prolog that reason about the available knowledge to achieve their goals.", "source": "AI-English (2022).pdf", "chunk_id": 136, "language": "English", "was_translated": false }, { "text": "to write simple programs in Prolog that reason about the available knowledge to achieve their goals. Furthermore, students will learn some simple blind and heuristic search algorithms such as depth-first, breadth-first, best-first, hill climbing, and simulated annealing and techniques on how to control search using production systems.", "source": "AI-English (2022).pdf", "chunk_id": 137, "language": "English", "was_translated": false }, { "text": "climbing, and simulated annealing and techniques on how to control search using production systems. They will also have the ability to decide the appropriate search techniques (blind or heuristic) for some problems. The students will also be given some grounding in the principal techniques of data mining and be introduced to some applications of data mining.", "source": "AI-English (2022).pdf", "chunk_id": 138, "language": "English", "was_translated": false }, { "text": "ng in the principal techniques of data mining and be introduced to some applications of data mining. Students will be introduced to some learning techniques to help obtain a clear picture of the concepts of machine learning. This course will use a combination of lectures, class discussions, reading and writing assignments, case studies analysis, and hands-on work.", "source": "AI-English (2022).pdf", "chunk_id": 139, "language": "English", "was_translated": false }, { "text": "tures, class discussions, reading and writing assignments, case studies analysis, and hands-on work. Course Number Course Title Ontologies and Knowledge Graphs Credit Hours 1905321 18 QF-AQAC-02.03.1.2 Study Plan- Bachelors Prerequisite: (1905221) 3 Course Description The course will introduce knowledge graphs and compare them to other data models such as RDMS and File Systems.", "source": "AI-English (2022).pdf", "chunk_id": 140, "language": "English", "was_translated": false }, { "text": "will introduce knowledge graphs and compare them to other data models such as RDMS and File Systems. Approaches for representing relational databases to knowledge graphs will be presented. The course will introduce the main architecture of the Semantic Web and the notion of Linked Data.", "source": "AI-English (2022).pdf", "chunk_id": 141, "language": "English", "was_translated": false }, { "text": ". The course will introduce the main architecture of the Semantic Web and the notion of Linked Data. It will also demonstrate the knowledge representation formalisms and how it is used for constructing knowledge graph. Ontology engineering principles Will be presented. The course will demonstrate methods and methodologies for ontology evaluation.", "source": "AI-English (2022).pdf", "chunk_id": 142, "language": "English", "was_translated": false }, { "text": "es Will be presented. The course will demonstrate methods and methodologies for ontology evaluation. Students will be presented with practical knowledge of applying ontology engineering methodology in a specific context. The RDF data model will be presented and how it differs from RDFS and OWL. SPARQL query language will be presented and learned.", "source": "AI-English (2022).pdf", "chunk_id": 143, "language": "English", "was_translated": false }, { "text": "presented and how it differs from RDFS and OWL. SPARQL query language will be presented and learned. Active learning methodologies will be applied through role playing, presentations and problem-solving exercises.", "source": "AI-English (2022).pdf", "chunk_id": 144, "language": "English", "was_translated": false }, { "text": "ing methodologies will be applied through role playing, presentations and problem-solving exercises. Course Number Course Title Computer Vision Credit Hours 1905322 Prerequisite: (1915370) 3 Course Description This course introduces the students to the fundamental techniques and concepts of computer vision and image processing.", "source": "AI-English (2022).pdf", "chunk_id": 145, "language": "English", "was_translated": false }, { "text": "ces the students to the fundamental techniques and concepts of computer vision and image processing.", "source": "AI-English (2022).pdf", "chunk_id": 146, "language": "English", "was_translated": false }, { "text": "This course will cover the following topics: image formation and representation, image enhancement in spatial and frequency domain, image morphological processing, image registration, edge detection and segmentation, feature detection and matching, object recognition and classification, object detection and tracking, 3D vision, and application to models of human and machine vision.", "source": "AI-English (2022).pdf", "chunk_id": 147, "language": "English", "was_translated": false }, { "text": "on, object detection and tracking, 3D vision, and application to models of human and machine vision. This course will use a combination of lectures, class discussions, reading and writing assignments, case studies analysis, and hands-on work. Practical hands-on computer vision best practices will be given in Lab weekly.", "source": "AI-English (2022).pdf", "chunk_id": 148, "language": "English", "was_translated": false }, { "text": "s, and hands-on work. Practical hands-on computer vision best practices will be given in Lab weekly. Credit Hours Course Number Course Title Embedded Systems 1905330 3 Prerequisite: (1901242 and 1905320) Course Description The course aims to introduce students to basic logic design system, logic gates, combinational and sequential logic circuits.", "source": "AI-English (2022).pdf", "chunk_id": 149, "language": "English", "was_translated": false }, { "text": "uce students to basic logic design system, logic gates, combinational and sequential logic circuits. Then basic input and output devices, after that microcontroller-based embedded systems design, development and implementation with focus on real-time applications. Topics to be covered include, basic logic design, basic input and output systems.", "source": "AI-English (2022).pdf", "chunk_id": 150, "language": "English", "was_translated": false }, { "text": "time applications. Topics to be covered include, basic logic design, basic input and output systems. Embedded system types, microcontroller architecture, programming (Embedded C), interrupt management and other related topics. This course will use a combination of lectures, class discussions, reading and writing 19 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 151, "language": "English", "was_translated": false }, { "text": "ourse will use a combination of lectures, class discussions, reading and writing 19 QF-AQAC-02.03.1.2 Study Plan- Bachelors assignments, case studies analysis, and hands-on work. Practical hands-on computer vision best practices will be given in Lab weekly.", "source": "AI-English (2022).pdf", "chunk_id": 152, "language": "English", "was_translated": false }, { "text": "s, and hands-on work. Practical hands-on computer vision best practices will be given in Lab weekly. Course Number Course Title Natural Languages Processing Credit Hours 1905380 Prerequisite: (1905320) 3 Course Description The aim of the course is to introduce students to the concepts of Natural Language Processing and its applications.", "source": "AI-English (2022).pdf", "chunk_id": 153, "language": "English", "was_translated": false }, { "text": "course is to introduce students to the concepts of Natural Language Processing and its applications. It discusses linguistic theories and computational techniques.", "source": "AI-English (2022).pdf", "chunk_id": 154, "language": "English", "was_translated": false }, { "text": "uage Processing and its applications. It discusses linguistic theories and computational techniques.", "source": "AI-English (2022).pdf", "chunk_id": 155, "language": "English", "was_translated": false }, { "text": "The course covers the topics of Origins of Natural Language Processing (NLP); Language structure representation; The role of knowledge; Knowledge representation; Parsing techniques; Finite-state techniques; Recursive and augmented transition networks; Language ambiguity; Well-Formed constructs; Features and the lexicon; Language semantics; and Applications.", "source": "AI-English (2022).pdf", "chunk_id": 156, "language": "English", "was_translated": false }, { "text": "e ambiguity; Well-Formed constructs; Features and the lexicon; Language semantics; and Applications. Examples of NLP applications that are covered by this course include; machine translation, information retrieval, text summarization, reference resolution, question answering, parsing, sense disambiguation, morphological analysis, speech analysis and synthesis.", "source": "AI-English (2022).pdf", "chunk_id": 157, "language": "English", "was_translated": false }, { "text": "ion answering, parsing, sense disambiguation, morphological analysis, speech analysis and synthesis. Active learning methodologies will be applied through role playing, presentations and problem-solving exercises. Moreover, hands-on practice on using NLTK (Natural Language Toolkit) is weekly practiced in the lab.", "source": "AI-English (2022).pdf", "chunk_id": 158, "language": "English", "was_translated": false }, { "text": "Moreover, hands-on practice on using NLTK (Natural Language Toolkit) is weekly practiced in the lab. In addition, guest speakers belonging to the Jordan s ICT will demonstrate state-of-the-art practices and application of NLP.", "source": "AI-English (2022).pdf", "chunk_id": 159, "language": "English", "was_translated": false }, { "text": "rs belonging to the Jordan s ICT will demonstrate state-of-the-art practices and application of NLP. Credit Hours Course Number Course Title Theory of Algorithms 1901341 3 Prerequisite: (1901242) Course Description The main goal of this course is to introduce complexity analysis of algorithms with an emphasis on efficient design techniques for solving various computational problems.", "source": "AI-English (2022).pdf", "chunk_id": 160, "language": "English", "was_translated": false }, { "text": "gorithms with an emphasis on efficient design techniques for solving various computational problems. Topics include complexity analysis including big O, big omega, and big theta notations. Recurrence equations and recursive algorithms. Algorithm design techniques include sequential, divide-and-conquer, greedy, and dynamic programming.", "source": "AI-English (2022).pdf", "chunk_id": 161, "language": "English", "was_translated": false }, { "text": "Algorithm design techniques include sequential, divide-and-conquer, greedy, and dynamic programming. Sorting algorithms include insertion sort, merge sort, heap sort, and quicksort. Searching algorithms include breadth-first search and depth-first search. Graph-based algorithms including Kruskal s algorithm. Optimization problems include minimum spanning tree and multistage graph problems.", "source": "AI-English (2022).pdf", "chunk_id": 162, "language": "English", "was_translated": false }, { "text": "skal s algorithm. Optimization problems include minimum spanning tree and multistage graph problems. The assessment of this course is through exams, quizzes, and assignments. Course Number Course Title Computer Networks Credit Hours 1901363 20 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 163, "language": "English", "was_translated": false }, { "text": "d assignments. Course Number Course Title Computer Networks Credit Hours 1901363 20 QF-AQAC-02.03.1.2 Study Plan- Bachelors 3 Prerequisite: (1901242) Course Description This course explores key concepts and essential technologies of computer networks and broad range of topics in networking.", "source": "AI-English (2022).pdf", "chunk_id": 164, "language": "English", "was_translated": false }, { "text": "ey concepts and essential technologies of computer networks and broad range of topics in networking.", "source": "AI-English (2022).pdf", "chunk_id": 165, "language": "English", "was_translated": false }, { "text": "It includes general overview, networks applications, network classifications and topologies, network layers, channel performance measures, transmission media, communication network protocols and architecture; Data link layer: framing, error detection and correction, CSMA/CD, LAN IEEE standards; Network layer: IP service model, IP addressing, subnetting, host configuration DHCP, ARP Protocol,", "source": "AI-English (2022).pdf", "chunk_id": 166, "language": "English", "was_translated": false }, { "text": "; Network layer: IP service model, IP addressing, subnetting, host configuration DHCP, ARP Protocol, ICMP protocol; Transport layer: UDP protocol, TCP protocol, TCP reliable transfer and sliding window, TCP flow and congestion control; Application layer: DNS protocol, NAT protocol, HTTP protocol, persistent and non- persistent HTTP connection.", "source": "AI-English (2022).pdf", "chunk_id": 167, "language": "English", "was_translated": false }, { "text": "on layer: DNS protocol, NAT protocol, HTTP protocol, persistent and non- persistent HTTP connection. Weekly practice in the lab through active teaching methodologies. Credit Hours Course Number Course Title Information Security and Privacy 1932322 3 Prerequisite: (1901363 and 1902224) Course Description This course introduces information security and privacy.", "source": "AI-English (2022).pdf", "chunk_id": 168, "language": "English", "was_translated": false }, { "text": "e: (1901363 and 1902224) Course Description This course introduces information security and privacy. The course covers topics related to cryptography such as symmetric and asymmetric encryptions, hash functions, digital signatures, key management, and public key infrastructures.", "source": "AI-English (2022).pdf", "chunk_id": 169, "language": "English", "was_translated": false }, { "text": "ric encryptions, hash functions, digital signatures, key management, and public key infrastructures. Also, the course covers topics related to network security as packet sniffing, spoofing, TLS, IPSec, Firewalls, and wireless network security. Furthermore, topics related to Authentication, Authorization, Web security and Steganography will be covered.", "source": "AI-English (2022).pdf", "chunk_id": 170, "language": "English", "was_translated": false }, { "text": "re, topics related to Authentication, Authorization, Web security and Steganography will be covered. Risk analysis and ethics, and their applications to the development of a secure healthcare systems as a case study will be presented. Practical hands-on will be provided.", "source": "AI-English (2022).pdf", "chunk_id": 171, "language": "English", "was_translated": false }, { "text": "a secure healthcare systems as a case study will be presented. Practical hands-on will be provided. Course Number Course Title Human Computer Interaction Credit Hours 1902353 Prerequisite: (1904120 ) 3 Course Description This course aims to introduce various Human Computer Interaction related topics.", "source": "AI-English (2022).pdf", "chunk_id": 172, "language": "English", "was_translated": false }, { "text": "Course Description This course aims to introduce various Human Computer Interaction related topics. This course explains the components and steps of designing, developing, and evaluating interactive computer systems for human use.", "source": "AI-English (2022).pdf", "chunk_id": 173, "language": "English", "was_translated": false }, { "text": "nents and steps of designing, developing, and evaluating interactive computer systems for human use. It also addresses the importance of Ergonomics, interaction design and its activities, data gathering and analysis, prototyping, evaluation paradigms and techniques universal design principles, and Non-traditional interfaces of all kinds.", "source": "AI-English (2022).pdf", "chunk_id": 174, "language": "English", "was_translated": false }, { "text": "n paradigms and techniques universal design principles, and Non-traditional interfaces of all kinds. It also highlights the steps of designing graphical user interfaces to achieve usability and user experience in interactive systems. The course also presents the need to adopt ideas that serve users with special needs and impairments.", "source": "AI-English (2022).pdf", "chunk_id": 175, "language": "English", "was_translated": false }, { "text": "he course also presents the need to adopt ideas that serve users with special needs and impairments. The content of the course enables students to deploy interaction design principles into health-related 21 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 176, "language": "English", "was_translated": false }, { "text": "rse enables students to deploy interaction design principles into health-related 21 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 177, "language": "English", "was_translated": false }, { "text": "2 Study Plan- Bachelors applications (healthcare and patient management), where students are required to show the interaction design activities, prototyping, evaluation paradigms and techniques, and universal design principles in the project, which is considered one of the most important outcomes of the course where students apply everything they have learned in this course.", "source": "AI-English (2022).pdf", "chunk_id": 178, "language": "English", "was_translated": false }, { "text": "t important outcomes of the course where students apply everything they have learned in this course. Credit Hours Course Number Course Title Software Engineering 1902372 3 Prerequisite: (1902224) Course Description This course aims is to present software engineering as a body of knowledge.", "source": "AI-English (2022).pdf", "chunk_id": 179, "language": "English", "was_translated": false }, { "text": "2224) Course Description This course aims is to present software engineering as a body of knowledge. The course is designed to present software engineering concepts and principles in parallel with the Software Development Life Cycle (SDLC).", "source": "AI-English (2022).pdf", "chunk_id": 180, "language": "English", "was_translated": false }, { "text": "are engineering concepts and principles in parallel with the Software Development Life Cycle (SDLC). The course will begin with an introduction to software engineering, giving students a definition of this body of knowledge, as well as a discussion of the main methodologies of software engineering including agile methods i.e., XP.", "source": "AI-English (2022).pdf", "chunk_id": 181, "language": "English", "was_translated": false }, { "text": "as a discussion of the main methodologies of software engineering including agile methods i.e., XP. Students will then learn about the five major phases of the SDLC: requirements gathering and analysis, design, coding/implementation, validation, and evolution.", "source": "AI-English (2022).pdf", "chunk_id": 182, "language": "English", "was_translated": false }, { "text": "SDLC: requirements gathering and analysis, design, coding/implementation, validation, and evolution. This includes software modelling using Unified Modelling Language (UML), a standardized general-purpose modelling language used to create visual models of object- oriented software, for requirements gathering and analysis, and design.", "source": "AI-English (2022).pdf", "chunk_id": 183, "language": "English", "was_translated": false }, { "text": "ate visual models of object- oriented software, for requirements gathering and analysis, and design. Students will also learn about project management and quality management for the purpose of delivering high-quality software that satisfies customer needs and is within budget and schedule.", "source": "AI-English (2022).pdf", "chunk_id": 184, "language": "English", "was_translated": false }, { "text": "of delivering high-quality software that satisfies customer needs and is within budget and schedule. Delivery will be by in- class lectures, recorded lectures, practical sessions in the lab, case studies from different domains (i.e., healthcare domain), and assignments. Assignments will include a term project illustrative of professional practice in developing computer information systems.", "source": "AI-English (2022).pdf", "chunk_id": 185, "language": "English", "was_translated": false }, { "text": "ude a term project illustrative of professional practice in developing computer information systems. One or two guest speakers with many years of experience in software engineering will be invited to share their first-hand experience with students.", "source": "AI-English (2022).pdf", "chunk_id": 186, "language": "English", "was_translated": false }, { "text": "perience in software engineering will be invited to share their first-hand experience with students.", "source": "AI-English (2022).pdf", "chunk_id": 187, "language": "English", "was_translated": false }, { "text": "Credit Hours Course Number Course Title Machine Learning and Neural networks 1915370 3 Prerequisite: (1905222) Course Description This course will help students to develop basic understanding of principles of learning theory, theoretical and mathematical foundations of the machine learning and derive practical solutions using predictive analytics.", "source": "AI-English (2022).pdf", "chunk_id": 188, "language": "English", "was_translated": false }, { "text": "tical foundations of the machine learning and derive practical solutions using predictive analytics. In addition, it explains what machine learning is and how it is related to statistics and data analysis.", "source": "AI-English (2022).pdf", "chunk_id": 189, "language": "English", "was_translated": false }, { "text": "ddition, it explains what machine learning is and how it is related to statistics and data analysis.", "source": "AI-English (2022).pdf", "chunk_id": 190, "language": "English", "was_translated": false }, { "text": "The class will cover topics in regression, classification, mixture models, neural networks, basic deep learning, ensemble methods and reinforcement learning, hidden Markov models, and Bayesian networks, generative/discriminative learning, parametric/non- parametric learning, support vector machines, unsupervised learning, expectation maximization, 22 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 191, "language": "English", "was_translated": false }, { "text": "rning, support vector machines, unsupervised learning, expectation maximization, 22 QF-AQAC-02.03.1.2 Study Plan- Bachelors dimensionality reduction, and kernel methods. The course will also discuss recent applications of machine learning, autonomous navigation, bioinformatics, speech recognition, and text and web data processing.", "source": "AI-English (2022).pdf", "chunk_id": 192, "language": "English", "was_translated": false }, { "text": "arning, autonomous navigation, bioinformatics, speech recognition, and text and web data processing. Delivery will combine traditional lectures with other active teaching methodologies, such as group discussions, group solving problems, analysis of cases and debates, case study from different domains, and assignments.", "source": "AI-English (2022).pdf", "chunk_id": 193, "language": "English", "was_translated": false }, { "text": "solving problems, analysis of cases and debates, case study from different domains, and assignments. Course Number Course Title Cognitive Science Credit Hours 1905420 Prerequisite: (1905320) 3 Course Description The course introduces the main terms and foundations of cognitive science and aims to understand the relationship between the computer and the human mind.", "source": "AI-English (2022).pdf", "chunk_id": 194, "language": "English", "was_translated": false }, { "text": "f cognitive science and aims to understand the relationship between the computer and the human mind. The main goal is to simulate human processes in a computerized model. Using self-learning algorithms that use data mining, pattern recognition and natural language processing, the computer can mimic the way the human brain works.", "source": "AI-English (2022).pdf", "chunk_id": 195, "language": "English", "was_translated": false }, { "text": "n recognition and natural language processing, the computer can mimic the way the human brain works. Active learning methodologies will be applied through role playing, presentations and problem-solving exercises.", "source": "AI-English (2022).pdf", "chunk_id": 196, "language": "English", "was_translated": false }, { "text": "ing methodologies will be applied through role playing, presentations and problem-solving exercises. Course Number Course Title Internet of Things Credit Hours 1905430 Prerequisite: (1905320 and 1901363) 3 Course Description Internet-of-Things (IoT) course aims at preparing students to the IoT market, given the increasing demand for professionals on this hot emerging area.", "source": "AI-English (2022).pdf", "chunk_id": 197, "language": "English", "was_translated": false }, { "text": "students to the IoT market, given the increasing demand for professionals on this hot emerging area. The course presents the latest IoT applications, devices, technologies, architecture, communication protocols and trends. IoT middleware/streaming applications used in IoT will be reviewed. IoT challenges including cybersecurity challenges, skills needed and best practices will also be covered.", "source": "AI-English (2022).pdf", "chunk_id": 198, "language": "English", "was_translated": false }, { "text": "hallenges including cybersecurity challenges, skills needed and best practices will also be covered. Part of the course will deal with developing real- world IoT applications/mobile application prototypes from the sensor design to the end-user applications to solve existing problems in the society.", "source": "AI-English (2022).pdf", "chunk_id": 199, "language": "English", "was_translated": false }, { "text": "types from the sensor design to the end-user applications to solve existing problems in the society. Moreover, the course utilizes artificial Intelligence algorithms to build models and large scale systems to solve problems such as telco management, intelligent transportation, urban planning, real time crowd management, retail intelligence, and industry 4.0 using telco and other data sources.", "source": "AI-English (2022).pdf", "chunk_id": 200, "language": "English", "was_translated": false }, { "text": "eal time crowd management, retail intelligence, and industry 4.0 using telco and other data sources. It also introduces typical application scenarios in which IoT provides innovative new services to enhance productivity and save costs. Active learning methodologies will be applied through role playing, presentations and problem-solving exercises.", "source": "AI-English (2022).pdf", "chunk_id": 201, "language": "English", "was_translated": false }, { "text": "ing methodologies will be applied through role playing, presentations and problem-solving exercises. Moreover, hands-on practice on developing real-world IoT applications will be weekly practiced in the lab. In addition, guest speakers belonging to the Jordan s ICT will demonstrate state-of-the-art practices and application of IoT. Course Number Course Title Credit Hours 23 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 202, "language": "English", "was_translated": false }, { "text": "he-art practices and application of IoT. Course Number Course Title Credit Hours 23 QF-AQAC-02.03.1.2 Study Plan- Bachelors 1905431 Intelligent Robotics 3 Prerequisite: (1905330) Course Description The aim of this course is to introduce students to the basic principles of robotics. It covers the assembly, programming, and control of a simple robot.", "source": "AI-English (2022).pdf", "chunk_id": 203, "language": "English", "was_translated": false }, { "text": "he basic principles of robotics. It covers the assembly, programming, and control of a simple robot.", "source": "AI-English (2022).pdf", "chunk_id": 204, "language": "English", "was_translated": false }, { "text": "Students are expected to (1) know and understand key concepts relating to robots and robotics systems, (2) identify examples of robots, (3) identify the main parts of a robot and their function, including microcontrollers, actuators, sensors, and power sources, (4) understand the elements of a simple control system, and test a control system, (5) understand basic programming concepts, and create", "source": "AI-English (2022).pdf", "chunk_id": 205, "language": "English", "was_translated": false }, { "text": "ple control system, and test a control system, (5) understand basic programming concepts, and create and execute a program, and (6) set up a robot, implement robotic motion, and control a robot in an environment. Active learning methodologies will be applied through role-playing, presentations and problem-solving exercises.", "source": "AI-English (2022).pdf", "chunk_id": 206, "language": "English", "was_translated": false }, { "text": "ing methodologies will be applied through role-playing, presentations and problem-solving exercises. Moreover, hands-on practice on developing real-world IoT applications will be weekly practiced in the lab. In addition, guest speakers belonging to the Jordan s ICT will demonstrate state-of-the-art practices and robot development.", "source": "AI-English (2022).pdf", "chunk_id": 207, "language": "English", "was_translated": false }, { "text": "ers belonging to the Jordan s ICT will demonstrate state-of-the-art practices and robot development. Credit Hours Course Number Course Title Deep Learning 1915471 3 Prerequisite: (1915370) Course Description This course will introduce students to the concept of Deep learning, and it will help students to understand its key principles.", "source": "AI-English (2022).pdf", "chunk_id": 208, "language": "English", "was_translated": false }, { "text": "tudents to the concept of Deep learning, and it will help students to understand its key principles. The course covers feed-forward neural networks, convolutional neural networks, recurrent neural network, deep reinforcement learning, and other fundamental concepts and techniques. This course will also teach the students the mathematical foundation underlying deep learning.", "source": "AI-English (2022).pdf", "chunk_id": 209, "language": "English", "was_translated": false }, { "text": "ques. This course will also teach the students the mathematical foundation underlying deep learning. It is expected by the end of the course, students will be able to build, train and apply fully connected deep neural networks, and to know how to implement efficient deep neural networks using the most popular libraries for Deep Learning such as Keras, PyTorch, and TensorFlow.", "source": "AI-English (2022).pdf", "chunk_id": 210, "language": "English", "was_translated": false }, { "text": "networks using the most popular libraries for Deep Learning such as Keras, PyTorch, and TensorFlow. The course will introduce students also to a wide spectrum of deep learning applications in real-word problems.", "source": "AI-English (2022).pdf", "chunk_id": 211, "language": "English", "was_translated": false }, { "text": "will introduce students also to a wide spectrum of deep learning applications in real-word problems. Delivery will combine traditional lectures with other active teaching methodologies, such as group discussions, group solving problems, analysis of cases and debates, case study from different domains, and assignments. Course Number Course Title Training Credit Hours 1905490 24 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 212, "language": "English", "was_translated": false }, { "text": "mains, and assignments. Course Number Course Title Training Credit Hours 1905490 24 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 213, "language": "English", "was_translated": false }, { "text": "2 Study Plan- Bachelors Prerequisite: (Success 90 hours) 0 Course Description A student is required toِ training in one of related organisations for not less than 6 weeks, and presents a report from the organization to describe the effectiveness of the practice according to the training regulations of Dean s council for KASIT Departments.", "source": "AI-English (2022).pdf", "chunk_id": 214, "language": "English", "was_translated": false }, { "text": "eness of the practice according to the training regulations of Dean s council for KASIT Departments. Or have a specialized certificate in one of the technological information subjects that is considered and published from a certified organization.", "source": "AI-English (2022).pdf", "chunk_id": 215, "language": "English", "was_translated": false }, { "text": "e technological information subjects that is considered and published from a certified organization.", "source": "AI-English (2022).pdf", "chunk_id": 216, "language": "English", "was_translated": false }, { "text": "Course Number Course Title Credit Hours 1905491 Project -1 Prerequisite: (Success 90 hours) 0 Course Description The graduation project provides a unique opportunity for students in Artificial Intelligence program to apply their knowledge of the foundations, theory and methods of AI and software development to address and provide solutions (i.e.", "source": "AI-English (2022).pdf", "chunk_id": 217, "language": "English", "was_translated": false }, { "text": "oundations, theory and methods of AI and software development to address and provide solutions (i.e., developing software applications) to problems in industry, government and the non-profit sector and other areas. The course activities focus on a two semester- length project sponsored by a local organization if available.", "source": "AI-English (2022).pdf", "chunk_id": 218, "language": "English", "was_translated": false }, { "text": "e activities focus on a two semester- length project sponsored by a local organization if available. Typically, two to four students work together as a team on each graduation project. Each team is supervised by a faculty mentor and projects typically progress through several phases.", "source": "AI-English (2022).pdf", "chunk_id": 219, "language": "English", "was_translated": false }, { "text": "Each team is supervised by a faculty mentor and projects typically progress through several phases. This course includes the first stage of the graduation project where the student(s) should define, analyze the problem, and finally write a proposal. Then to present it to a predetermined committee in the department. It includes weekly meetings with the supervisors.", "source": "AI-English (2022).pdf", "chunk_id": 220, "language": "English", "was_translated": false }, { "text": "it to a predetermined committee in the department. It includes weekly meetings with the supervisors. Course Number Course Title Credit Hours 1905492 Project -2 Prerequisite: (1905491) 3 Course Description This is the second stage of the graduation project which includes the practical aspects which are design, implementation and testing for the resulting project.", "source": "AI-English (2022).pdf", "chunk_id": 221, "language": "English", "was_translated": false }, { "text": "cludes the practical aspects which are design, implementation and testing for the resulting project. Documentation of the whole project should be delivered to the department and the supervisor(s) and a presentation is done for the whole project at the end of the semester. It includes weekly meetings with the supervisors. C.", "source": "AI-English (2022).pdf", "chunk_id": 222, "language": "English", "was_translated": false }, { "text": "r the whole project at the end of the semester. It includes weekly meetings with the supervisors. C. Elective Specialty Courses Description Course Number Course Title Credit Hours 25 QF-AQAC-02.03.1.2 Study Plan- Bachelors 1905310 Advanced AI programming 3 Prerequisite: (1915111) Course Description This course will focus on understanding of how to perform Machine Learning with Python.", "source": "AI-English (2022).pdf", "chunk_id": 223, "language": "English", "was_translated": false }, { "text": "Description This course will focus on understanding of how to perform Machine Learning with Python. In this course, student will learn to understand and format problems to be solved using ML techniques.", "source": "AI-English (2022).pdf", "chunk_id": 224, "language": "English", "was_translated": false }, { "text": "this course, student will learn to understand and format problems to be solved using ML techniques. They will also gain knowledge representation skills for preparing data to be used in prediction tasks and they will acquire expertise in creating models by combing the data with algorithms in that can predict the future.", "source": "AI-English (2022).pdf", "chunk_id": 225, "language": "English", "was_translated": false }, { "text": "ire expertise in creating models by combing the data with algorithms in that can predict the future. Students will learn how to use Python and libraries such as it scikit-learn to create Machine Learning solutions.", "source": "AI-English (2022).pdf", "chunk_id": 226, "language": "English", "was_translated": false }, { "text": "learn how to use Python and libraries such as it scikit-learn to create Machine Learning solutions.", "source": "AI-English (2022).pdf", "chunk_id": 227, "language": "English", "was_translated": false }, { "text": "This course will cover an introduction to ML and applications, setting up a Python development environment correctly, complete machine learning tool sets, the various regression, classification and other ML algorithms performance metrics such as R-squared, MSE, accuracy, confusion matrix, precision, recall, etc.", "source": "AI-English (2022).pdf", "chunk_id": 228, "language": "English", "was_translated": false }, { "text": "thms performance metrics such as R-squared, MSE, accuracy, confusion matrix, precision, recall, etc., unsupervised Machine Learning (ML) algorithms such as Hierarchical clustering, k-means clustering etc.", "source": "AI-English (2022).pdf", "chunk_id": 229, "language": "English", "was_translated": false }, { "text": "supervised Machine Learning (ML) algorithms such as Hierarchical clustering, k-means clustering etc., Jupyter (IPython) notebook, Spyder and various IDE, Communicating visually and effectively with Matplotlib and Seaborn, using of train/test, K-fold and Stratified K-fold cross validation to select correct model and predict model perform with unseen data, and much more.", "source": "AI-English (2022).pdf", "chunk_id": 230, "language": "English", "was_translated": false }, { "text": "cross validation to select correct model and predict model perform with unseen data, and much more. Active learning methodologies will be applied through role-playing, presentations and problem-solving exercises. Moreover, hands-on practice on developing real-world applications will be weekly practiced in the lab.", "source": "AI-English (2022).pdf", "chunk_id": 231, "language": "English", "was_translated": false }, { "text": "reover, hands-on practice on developing real-world applications will be weekly practiced in the lab. Credit Hours Course Number Course Title Bioinformatics 1915241 3 Prerequisite: (1905222) Course Description This course explores how the integration of computer science, statistics and mathematics knowledge can be used to tackle complex life sciences problems.", "source": "AI-English (2022).pdf", "chunk_id": 232, "language": "English", "was_translated": false }, { "text": "science, statistics and mathematics knowledge can be used to tackle complex life sciences problems. It covers several topics like: general genomics, cells and DNA sequence features; sequence alignment; sequence motifs; search sequence databases; phylogenetic trees; Hidden Markov Models, and microarray data analysis: normalization and clustering; other emerging topics.", "source": "AI-English (2022).pdf", "chunk_id": 233, "language": "English", "was_translated": false }, { "text": "en Markov Models, and microarray data analysis: normalization and clustering; other emerging topics. Active learning methodologies will be applied through role- playing, presentations and problem-solving exercises. The students are required to present case studies on one of the related topics.", "source": "AI-English (2022).pdf", "chunk_id": 234, "language": "English", "was_translated": false }, { "text": "m-solving exercises. The students are required to present case studies on one of the related topics. Credit Hours Course Number Course Title Applied Statistics 1915251 3 Prerequisite: (0301131) 26 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 235, "language": "English", "was_translated": false }, { "text": "Course Number Course Title Applied Statistics 1915251 3 Prerequisite: (0301131) 26 QF-AQAC-02.03.1.2 Study Plan- Bachelors Course Description This course is an introduction to practical applied statistics with R, a programming language and software environment for statistical computing, and with RStudio, an integrated development environment for R.", "source": "AI-English (2022).pdf", "chunk_id": 236, "language": "English", "was_translated": false }, { "text": "nvironment for statistical computing, and with RStudio, an integrated development environment for R. Topics include introduction to R programming, summarizing data, probability and statistics in R, simple and multiple linear regression, categorical predictors and interactions, model diagnostics, collinearity, variable selection and model building, selected data analyses.", "source": "AI-English (2022).pdf", "chunk_id": 237, "language": "English", "was_translated": false }, { "text": "ons, model diagnostics, collinearity, variable selection and model building, selected data analyses. The course graphically introduces those concepts utilizing R as a programming environment for applying statistical/probabilistic methods and techniques. This course is a practical course and will contain small projects and programming assignments for specific problems using R programming language.", "source": "AI-English (2022).pdf", "chunk_id": 238, "language": "English", "was_translated": false }, { "text": "ntain small projects and programming assignments for specific problems using R programming language. Course Number Course Title User Adaptive Systems Credit Hours 1905323 Prerequisite: (1905320 and 1902353) 3 Course Description The course applies machine learning techniques to identify user needs, draw requirements, design, and evaluate user-adaptive systems.", "source": "AI-English (2022).pdf", "chunk_id": 239, "language": "English", "was_translated": false }, { "text": "ng techniques to identify user needs, draw requirements, design, and evaluate user-adaptive systems. It also aims to introduce common techniques for user modelling and adaptation and apply them in practical recommender systems. Students will be presented with similarity metrics that can be applied in different contexts.", "source": "AI-English (2022).pdf", "chunk_id": 240, "language": "English", "was_translated": false }, { "text": "stems. Students will be presented with similarity metrics that can be applied in different contexts. Also, the course will show how a generated user model can be used in systems to adapt individual users or to groups of users. Generated user models can be used for adapting hypermedia systems based to users interests, needs preferences etc.", "source": "AI-English (2022).pdf", "chunk_id": 241, "language": "English", "was_translated": false }, { "text": "models can be used for adapting hypermedia systems based to users interests, needs preferences etc. Active learning methodologies will be applied through role-playing, presentations and problem-solving exercises. Moreover, hands-on practice on developing and modelling a user adaptive system will be weekly practiced in the lab.", "source": "AI-English (2022).pdf", "chunk_id": 242, "language": "English", "was_translated": false }, { "text": "-on practice on developing and modelling a user adaptive system will be weekly practiced in the lab. Credit Hours Course Number Course Title NoSQL Databases 1915331 3 Prerequisite: (1902224) Course Description This course explores the origins of NoSQL databases and the characteristics that distinguish them from traditional relational database management systems.", "source": "AI-English (2022).pdf", "chunk_id": 243, "language": "English", "was_translated": false }, { "text": "d the characteristics that distinguish them from traditional relational database management systems. Core concepts of NoSQL databases will be presented, followed by an exploration of how different database technologies implement these core concepts.", "source": "AI-English (2022).pdf", "chunk_id": 244, "language": "English", "was_translated": false }, { "text": "ed, followed by an exploration of how different database technologies implement these core concepts. It gives a closer look at 1-2 databases from each of the four main NoSQL data models (key-value, column family, document, and graph), highlighting the business needs that drive the development and use of each database.", "source": "AI-English (2022).pdf", "chunk_id": 245, "language": "English", "was_translated": false }, { "text": "nt, and graph), highlighting the business needs that drive the development and use of each database. This course will introduce some examples of NoSQL databases such as Cassandra, MongoDB, Apache Hive, HBase, and Neo4j.", "source": "AI-English (2022).pdf", "chunk_id": 246, "language": "English", "was_translated": false }, { "text": "ntroduce some examples of NoSQL databases such as Cassandra, MongoDB, Apache Hive, HBase, and Neo4j. Finally, it presents criteria that decision makers should consider when choosing between relational and non-relational databases and techniques for selecting the NoSQL database that best addresses specific use cases.", "source": "AI-English (2022).pdf", "chunk_id": 247, "language": "English", "was_translated": false }, { "text": "al databases and techniques for selecting the NoSQL database that best addresses specific use cases. The course contains a practical application on NoSQL databases through small projects and weekly assignments. 27 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 248, "language": "English", "was_translated": false }, { "text": "al application on NoSQL databases through small projects and weekly assignments. 27 QF-AQAC-02.03.1.2 Study Plan- Bachelors Credit Hours Course Number 1915341 Course Title Social Network Analysis 3 Prerequisite: (1915222 and 1901341) Course Description This course gives a basic understanding of what social network analysis is and how it can be applied.", "source": "AI-English (2022).pdf", "chunk_id": 249, "language": "English", "was_translated": false }, { "text": "his course gives a basic understanding of what social network analysis is and how it can be applied. The course will cover recent information on the structure and analysis of large social and information networks and on models and algorithms that abstract their basic properties.", "source": "AI-English (2022).pdf", "chunk_id": 250, "language": "English", "was_translated": false }, { "text": "e social and information networks and on models and algorithms that abstract their basic properties. In this course student will learn about social networks structure and evolution, and how to practically analyze large-scale network data and how to reason about it.", "source": "AI-English (2022).pdf", "chunk_id": 251, "language": "English", "was_translated": false }, { "text": "e and evolution, and how to practically analyze large-scale network data and how to reason about it. Topics covered in this course includes graph theory, link prediction, recommendation systems, graph mining, network community detection, graph visualization, graph data science, information propagation on the web, and connections with work in the social sciences and economics.", "source": "AI-English (2022).pdf", "chunk_id": 252, "language": "English", "was_translated": false }, { "text": "information propagation on the web, and connections with work in the social sciences and economics. Course Number Course Title Knowledge Graphs Technologies and Applications Credit Hours 1905350 Prerequisite: (1905321) 3 Course Description The course will demonstrate knowledge of existing applications and technologies of knowledge.", "source": "AI-English (2022).pdf", "chunk_id": 253, "language": "English", "was_translated": false }, { "text": "iption The course will demonstrate knowledge of existing applications and technologies of knowledge. It will also use common Semantic Web tools to apply semantic web technologies. The tools include semantic Web browsers, search engines, text-based and visualization-based tools.", "source": "AI-English (2022).pdf", "chunk_id": 254, "language": "English", "was_translated": false }, { "text": ". The tools include semantic Web browsers, search engines, text-based and visualization-based tools. The course will reason about the significance of knowledge graphs and the directions in which the field is going to develop. Students will be introduced with different applications that use knowledge graphs such, health applications, learning applications and governmental applications.", "source": "AI-English (2022).pdf", "chunk_id": 255, "language": "English", "was_translated": false }, { "text": "use knowledge graphs such, health applications, learning applications and governmental applications. Active learning methodologies will be applied through role-playing, presentations and problem-solving exercises. Moreover, hands-on practice on developing and modelling knowledge graphs will be weekly practiced in the lab.", "source": "AI-English (2022).pdf", "chunk_id": 256, "language": "English", "was_translated": false }, { "text": "hands-on practice on developing and modelling knowledge graphs will be weekly practiced in the lab. Credit Hours Course Number Course Title Healthcare and Medical Data Analytics 1915352 3 Prerequisite: (1905222) Course Description 28 QF-AQAC-02.03.1.2 Study Plan- Bachelors This course introduces the characteristics of medical data and associated data mining challenges on dealing with such data.", "source": "AI-English (2022).pdf", "chunk_id": 257, "language": "English", "was_translated": false }, { "text": "the characteristics of medical data and associated data mining challenges on dealing with such data. It focuses on studying those data science techniques in the context of concrete healthcare analytic applications such as predictive modelling, computational phenotyping and patient similarity, diseases detection.", "source": "AI-English (2022).pdf", "chunk_id": 258, "language": "English", "was_translated": false }, { "text": "such as predictive modelling, computational phenotyping and patient similarity, diseases detection. In this course, the students will learn how can the application of data analytics improve health and health care and how the data analytics-based solutions can result in better diagnosis, and better care.", "source": "AI-English (2022).pdf", "chunk_id": 259, "language": "English", "was_translated": false }, { "text": "lth care and how the data analytics-based solutions can result in better diagnosis, and better care. In healthcare, large amounts of heterogeneous medical data have become available in various healthcare organizations (payers, providers, pharmaceuticals). This data could be an enabling resource for deriving insights for improving care delivery and reducing waste.", "source": "AI-English (2022).pdf", "chunk_id": 260, "language": "English", "was_translated": false }, { "text": "could be an enabling resource for deriving insights for improving care delivery and reducing waste. The enormity and complexity of these datasets present great challenges in analyses and subsequent applications to a practical clinical environment.", "source": "AI-English (2022).pdf", "chunk_id": 261, "language": "English", "was_translated": false }, { "text": "resent great challenges in analyses and subsequent applications to a practical clinical environment. The basics of data mining within the context of a wide variety of health care settings, and the types of data and data analysis challenges that you will likely encounter by gathering the data, move on to classifying, analyzing and finally visualizing medical data.", "source": "AI-English (2022).pdf", "chunk_id": 262, "language": "English", "was_translated": false }, { "text": "unter by gathering the data, move on to classifying, analyzing and finally visualizing medical data. The course will host a number of experts in the field of IT operations and related healthcare sector from the local market to cover the practical side of the course and share their first-hand experience with students.", "source": "AI-English (2022).pdf", "chunk_id": 263, "language": "English", "was_translated": false }, { "text": "arket to cover the practical side of the course and share their first-hand experience with students.", "source": "AI-English (2022).pdf", "chunk_id": 264, "language": "English", "was_translated": false }, { "text": "Credit Hours Course Number Course Title Pattern Recognition and Information Analysis 1915371 3 Prerequisite: (1905222) Course Description The course aims to cover a wide understanding of different related topics, such as pattern recognition systems, pre-processing, and feature extraction from images and documents, supervised and unsupervised learning, object classification and recognition.", "source": "AI-English (2022).pdf", "chunk_id": 265, "language": "English", "was_translated": false }, { "text": "m images and documents, supervised and unsupervised learning, object classification and recognition. In addition, the course aims at studying the concepts of information retrieval, and text and document mining. Furthermore, the course will introduce the recommendation systems based on pattern recognition such as collaborative and content-based recommendation systems.", "source": "AI-English (2022).pdf", "chunk_id": 266, "language": "English", "was_translated": false }, { "text": "systems based on pattern recognition such as collaborative and content-based recommendation systems. Active learning methodologies will be applied through role-playing, presentations and problem-solving exercises. Moreover, hands-on practice on developing and modelling knowledge graphs will be weekly practiced in the lab.", "source": "AI-English (2022).pdf", "chunk_id": 267, "language": "English", "was_translated": false }, { "text": "hands-on practice on developing and modelling knowledge graphs will be weekly practiced in the lab. Course Number Course Title Advanced Natural Language Processing Credit Hours 1905381 Prerequisite: (1905380) 3 29 QF-AQAC-02.03.1.2 Study Plan- Bachelors Course Description Natural language processing (NLP) is an important technology and essential part of artificial intelligence.", "source": "AI-English (2022).pdf", "chunk_id": 268, "language": "English", "was_translated": false }, { "text": "language processing (NLP) is an important technology and essential part of artificial intelligence. NLP is concerned with the problem of automatically analyzing and generating a natural language in written or spoken form. This course covers wide range of advanced topics including fundamental concepts and principals in NLP with emphasis on statistical approaches to NLP.", "source": "AI-English (2022).pdf", "chunk_id": 269, "language": "English", "was_translated": false }, { "text": "including fundamental concepts and principals in NLP with emphasis on statistical approaches to NLP. This course will focus on applying recent advances in analyzing and generating speech and text.", "source": "AI-English (2022).pdf", "chunk_id": 270, "language": "English", "was_translated": false }, { "text": "NLP. This course will focus on applying recent advances in analyzing and generating speech and text. It will cover techniques and algorithms such as recurrent neural networks, deep learning, neural networks and mathematical definitions of the relevant machine learning models and derive their associated optimization algorithms.", "source": "AI-English (2022).pdf", "chunk_id": 271, "language": "English", "was_translated": false }, { "text": "nitions of the relevant machine learning models and derive their associated optimization algorithms. In the application part, the course will cover applications such as; question answering, machine translation, text classification, information extraction, grammar induction, dictionary generation, analyzing latent dimensions in text, transcribing speech to text, and other.", "source": "AI-English (2022).pdf", "chunk_id": 272, "language": "English", "was_translated": false }, { "text": "dictionary generation, analyzing latent dimensions in text, transcribing speech to text, and other. Active learning methodologies will be applied through role playing, presentations and problem- solving exercises. Moreover, hands-on practice on using NLTK (Natural Language Toolkit) is weekly practiced in the lab.", "source": "AI-English (2022).pdf", "chunk_id": 273, "language": "English", "was_translated": false }, { "text": "Moreover, hands-on practice on using NLTK (Natural Language Toolkit) is weekly practiced in the lab. In addition, guest speakers belonging to the Jordan s ICT will demonstrate state-of-the-art practices and application of NLP.", "source": "AI-English (2022).pdf", "chunk_id": 274, "language": "English", "was_translated": false }, { "text": "rs belonging to the Jordan s ICT will demonstrate state-of-the-art practices and application of NLP. Course Number Course Title Digital Speech Processing Credit Hours 1905382 Prerequisite: (1905320) 3 Course Description This course aims to provide students with the foundation knowledge on speech production and perception along with processing of speech signal in digital domain.", "source": "AI-English (2022).pdf", "chunk_id": 275, "language": "English", "was_translated": false }, { "text": "wledge on speech production and perception along with processing of speech signal in digital domain. It helps students to design, develop, and evaluate intelligent systems that are based on human speech biometric.", "source": "AI-English (2022).pdf", "chunk_id": 276, "language": "English", "was_translated": false }, { "text": "dents to design, develop, and evaluate intelligent systems that are based on human speech biometric. Various applications will be taught in this course including Automatic Speech Recognition, Automatic Speech Synthesis, Automatic Speaker Recognition, Automatic Dialects Recognition, Automatic Emotions Recognition, Automatic Speech to Speech Translation, Conversational Agents, and many others.", "source": "AI-English (2022).pdf", "chunk_id": 277, "language": "English", "was_translated": false }, { "text": "motions Recognition, Automatic Speech to Speech Translation, Conversational Agents, and many others. The state-of-the-art digital speech processing tools and algorithms, and written and spoken language resources will be covered in this course. Active learning methodologies will be applied through role playing, presentations and problem-solving exercises.", "source": "AI-English (2022).pdf", "chunk_id": 278, "language": "English", "was_translated": false }, { "text": "ing methodologies will be applied through role playing, presentations and problem-solving exercises. Moreover, hands-on practice on developing automatic Speech processing applications will be weekly practiced in the lab. Course Title Information Technology Entrepreneurship and Credit Hours Course Number 1902383 3 Innovation Prerequisite: (1902224) Course Description 30 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 279, "language": "English", "was_translated": false }, { "text": "rs Course Number 1902383 3 Innovation Prerequisite: (1902224) Course Description 30 QF-AQAC-02.03.1.2 Study Plan- Bachelors This course is to introduce students to new and innovative technologies and examine how these powerful systems have fundamentally reshaped modern organizations.", "source": "AI-English (2022).pdf", "chunk_id": 280, "language": "English", "was_translated": false }, { "text": "echnologies and examine how these powerful systems have fundamentally reshaped modern organizations. These new information technologies are being used to change how organizations operate, produce products and services, and communicate both internally and as well as with external partners.", "source": "AI-English (2022).pdf", "chunk_id": 281, "language": "English", "was_translated": false }, { "text": "roduce products and services, and communicate both internally and as well as with external partners.", "source": "AI-English (2022).pdf", "chunk_id": 282, "language": "English", "was_translated": false }, { "text": "Using online collaborative technologies that were developed in the context of social networking and online communities and data-driven and Artificial Intelligence technologies, corporations are reengineering both internal business processes and those related to customers, suppliers, and business partners.", "source": "AI-English (2022).pdf", "chunk_id": 283, "language": "English", "was_translated": false }, { "text": "g both internal business processes and those related to customers, suppliers, and business partners. Developing innovative ways to communicate and collaborate can lead to new business opportunities and new efficiencies.", "source": "AI-English (2022).pdf", "chunk_id": 284, "language": "English", "was_translated": false }, { "text": "ive ways to communicate and collaborate can lead to new business opportunities and new efficiencies.", "source": "AI-English (2022).pdf", "chunk_id": 285, "language": "English", "was_translated": false }, { "text": "This course investigates the technologies, methods, and practices of developing new innovations such as online communities, data revolution, and the Artificial Intelligence paradigms to reengineer business processes and develop innovative, value-adding, and sustainable business activities within existing corporations and new start-ups.", "source": "AI-English (2022).pdf", "chunk_id": 286, "language": "English", "was_translated": false }, { "text": "e, value-adding, and sustainable business activities within existing corporations and new start-ups. The students will learn how to translate innovative, data-driven, and AI ideas into concrete project requirements, develop technological solutions, launch a business venture, and assess its effectiveness. Delivery will combine traditional lectures with other active teaching methodologies.", "source": "AI-English (2022).pdf", "chunk_id": 287, "language": "English", "was_translated": false }, { "text": "effectiveness. Delivery will combine traditional lectures with other active teaching methodologies. A case study of innovative Healthcare Information Systems (HCIS) is selected for discussion throughout the course to highlight basic concepts of innovative HCIS project development. Students are advised to develop innovative solutions for simple problems in HCIS.", "source": "AI-English (2022).pdf", "chunk_id": 288, "language": "English", "was_translated": false }, { "text": "oject development. Students are advised to develop innovative solutions for simple problems in HCIS. Credit Hours Course Number Course Title 1915431 Big Data 3 Prerequisite: (1915370) Course Description This course shall first introduce the overview Big Data applications, market trend, and the things to learn.", "source": "AI-English (2022).pdf", "chunk_id": 289, "language": "English", "was_translated": false }, { "text": "rse shall first introduce the overview Big Data applications, market trend, and the things to learn. Then, will introduce the fundamental platforms, such as MapReduce, Hadoop ecosystem, Spark, H2O Framework, Apache Storm, and other tools. Afterwards, the course will introduce several data storage methods and how to upload, distribute, and process them.", "source": "AI-English (2022).pdf", "chunk_id": 290, "language": "English", "was_translated": false }, { "text": "course will introduce several data storage methods and how to upload, distribute, and process them. This shall include HDFS, HBase, Pig, and Hive, document database, and graph database. The course will go on to introduce different ways of handling data analytics algorithms on different platforms. Then, the course will introduce visualization issues on Big Data.", "source": "AI-English (2022).pdf", "chunk_id": 291, "language": "English", "was_translated": false }, { "text": "algorithms on different platforms. Then, the course will introduce visualization issues on Big Data. It also provides a first hands-on experience in handling and analyzing large, complex structured, semi-structured, and unstructured data. Students will then have fundamental knowledge on Big Data to handle various real-world challenges.", "source": "AI-English (2022).pdf", "chunk_id": 292, "language": "English", "was_translated": false }, { "text": ". Students will then have fundamental knowledge on Big Data to handle various real-world challenges. The course will zoom in to discuss large-scale machine learning methods, and related big data frameworks. The course contains a set of homeworks and weekly tasks.", "source": "AI-English (2022).pdf", "chunk_id": 293, "language": "English", "was_translated": false }, { "text": "g methods, and related big data frameworks. The course contains a set of homeworks and weekly tasks. The course hosts several experts in the field of big data from the local market to cover the practical side of the course and to share their first-hand experience with students. Credit Hours Course Number Course Title Reinforcement learning 1905432 3 Prerequisite: (1905330) 31 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 294, "language": "English", "was_translated": false }, { "text": "rse Number Course Title Reinforcement learning 1905432 3 Prerequisite: (1905330) 31 QF-AQAC-02.03.1.2 Study Plan- Bachelors Course Description The course is about prediction and control using reinforcement learning, including aspects of deep reinforcement learning, i.e., the application of neural networks-based functional approximation to reinforcement learning problems.", "source": "AI-English (2022).pdf", "chunk_id": 295, "language": "English", "was_translated": false }, { "text": "he application of neural networks-based functional approximation to reinforcement learning problems. The course covers theory and applications related to the following topics: Markov decision processes. Value function approximation. Policy gradient methods, Actor- critic algorithms. Integration of Learning and Planning. Exploration vs exploitation trade-offs.", "source": "AI-English (2022).pdf", "chunk_id": 296, "language": "English", "was_translated": false }, { "text": "or- critic algorithms. Integration of Learning and Planning. Exploration vs exploitation trade-offs. Active learning methodologies will be applied through role playing, presentations and problem- solving exercises. Moreover, hands-on practice on reinforcement learning applications will be weekly practiced in the lab.", "source": "AI-English (2022).pdf", "chunk_id": 297, "language": "English", "was_translated": false }, { "text": "eover, hands-on practice on reinforcement learning applications will be weekly practiced in the lab.", "source": "AI-English (2022).pdf", "chunk_id": 298, "language": "English", "was_translated": false }, { "text": "Credit Hours Course Number Course Title Intelligent Agents 1905433 3 Prerequisite: (1905431) Course Description The aim of this course is to introduce the notion of Multi-Agent systems (MAS) which can be viewed as a collection of distributed autonomous artifacts capable of accomplishing complex tasks through interaction, coordination, collective intelligence and emergence of patterns of behavior.", "source": "AI-English (2022).pdf", "chunk_id": 299, "language": "English", "was_translated": false }, { "text": "ks through interaction, coordination, collective intelligence and emergence of patterns of behavior. We shall discuss the following concepts and issues: what are agents and MAS, MAS architectures, Communication (Coordination, Negotiation, MAS learning), Knowledge representation, Distributed planning, Agents and MAS applications.", "source": "AI-English (2022).pdf", "chunk_id": 300, "language": "English", "was_translated": false }, { "text": "tiation, MAS learning), Knowledge representation, Distributed planning, Agents and MAS applications. By the end of the course, students are expected to (1) have good understanding of the ideas, models, and paradigms offered by intelligent agents and MAS; (2) build MAS or select the right MAS framework for solving a problem; and (3) use the agent technology in different areas of applications.", "source": "AI-English (2022).pdf", "chunk_id": 301, "language": "English", "was_translated": false }, { "text": "ramework for solving a problem; and (3) use the agent technology in different areas of applications. Active learning methodologies will be applied through role playing, presentations and problem-solving exercises. Moreover, hands-on practice on Multi-Agent systems applications will be weekly practiced in the lab.", "source": "AI-English (2022).pdf", "chunk_id": 302, "language": "English", "was_translated": false }, { "text": "Moreover, hands-on practice on Multi-Agent systems applications will be weekly practiced in the lab. Credit Hours Course Number Course Title Advanced Embedded Systems 1905434 3 Prerequisite: (1905330) Course Description 32 QF-AQAC-02.03.1.2 Study Plan- Bachelors This course aims to cover and provide students insights to selected topics in advanced embedded systems.", "source": "AI-English (2022).pdf", "chunk_id": 303, "language": "English", "was_translated": false }, { "text": "course aims to cover and provide students insights to selected topics in advanced embedded systems. It includes concepts Analogue to Digital Converter (ADC), Universal Synchronous Asynchronous Receiver Transmitter (USART), and Pulse Width Modulation (PWM). Advance real time applications and formal models of computation for embedded (centralized and distributed) systems.", "source": "AI-English (2022).pdf", "chunk_id": 304, "language": "English", "was_translated": false }, { "text": "me applications and formal models of computation for embedded (centralized and distributed) systems. Active learning methodologies will be applied through role playing, presentations and problem-solving exercises. Moreover, hands-on practice on embedded systems applications will be weekly practiced in the lab.", "source": "AI-English (2022).pdf", "chunk_id": 305, "language": "English", "was_translated": false }, { "text": "s. Moreover, hands-on practice on embedded systems applications will be weekly practiced in the lab. Credit Hours Course Number Course Title Data Visualization 1915441 3 Prerequisite: (1915370) Course Description This course will give you the skills you need to leverage data to reveal valuable insights and advance your career.", "source": "AI-English (2022).pdf", "chunk_id": 306, "language": "English", "was_translated": false }, { "text": "l give you the skills you need to leverage data to reveal valuable insights and advance your career. The course will focus on studying algorithms for creating effective visualizations capable of promoting data comprehension and analysis. The course discusses the key techniques and theory used in visualization, including data models, graphical perception, and visual encoding and interaction.", "source": "AI-English (2022).pdf", "chunk_id": 307, "language": "English", "was_translated": false }, { "text": "in visualization, including data models, graphical perception, and visual encoding and interaction. Students will learn about the variety of existing approaches and systems in data visualization and develop skills in evaluating different visualization techniques as applied to particular tasks.", "source": "AI-English (2022).pdf", "chunk_id": 308, "language": "English", "was_translated": false }, { "text": "and develop skills in evaluating different visualization techniques as applied to particular tasks. Also, these visualization techniques will be used to display data through static and interactive forms and graphics that help in understanding relationships and communicating with non-specialists.", "source": "AI-English (2022).pdf", "chunk_id": 309, "language": "English", "was_translated": false }, { "text": "forms and graphics that help in understanding relationships and communicating with non-specialists. The course also discusses visual representation methods, such as graph drawing, parallel coordinates, tree mapping, and encourages students to design new innovative visualizations and experiment their potentials on case studies of various data sources.", "source": "AI-English (2022).pdf", "chunk_id": 310, "language": "English", "was_translated": false }, { "text": "w innovative visualizations and experiment their potentials on case studies of various data sources. In addition, the course will introduce the popular packages in python programming and other open sources visualization tools.", "source": "AI-English (2022).pdf", "chunk_id": 311, "language": "English", "was_translated": false }, { "text": "ill introduce the popular packages in python programming and other open sources visualization tools. Delivery will combine traditional lectures with other active teaching methodologies, such as group discussions, group solving problems, analysis of cases and debates, case study from different domains, and assignments.", "source": "AI-English (2022).pdf", "chunk_id": 312, "language": "English", "was_translated": false }, { "text": "solving problems, analysis of cases and debates, case study from different domains, and assignments. Credit Hours Course Number Course Title Brain-Computer Interaction 1905433 3 Prerequisite: (1905320) Course Description 33 QF-AQAC-02.03.1.2 Study Plan- Bachelors The course will cover the Brain-Computer Interface (BCI) design with a focus on modern methods.", "source": "AI-English (2022).pdf", "chunk_id": 313, "language": "English", "was_translated": false }, { "text": "lors The course will cover the Brain-Computer Interface (BCI) design with a focus on modern methods.", "source": "AI-English (2022).pdf", "chunk_id": 314, "language": "English", "was_translated": false }, { "text": "In addition, the course will cover the Basic Neuroscience, Stimulating the Brain, Signal Acquisition, Signal Processing, related BCIs Machine Learning, Major Types of BCIs such as Invasive BCIs, Semi-Invasive BCIs, Non-Invasive BCIs, Stimulating and Bidirectional BCIs, BCI Applications using Matlab, BCI devices such as Emotiv, Ethics of BCI, basics of EEG.", "source": "AI-English (2022).pdf", "chunk_id": 315, "language": "English", "was_translated": false }, { "text": "ional BCIs, BCI Applications using Matlab, BCI devices such as Emotiv, Ethics of BCI, basics of EEG. The course will cover some of the most common brain-computer interface examples such as in Medicine, Rescue/Disaster Management, Security, Education, and Rehabilitation. Active learning methodologies will be applied through role playing, presentations and problem-solving exercises.", "source": "AI-English (2022).pdf", "chunk_id": 316, "language": "English", "was_translated": false }, { "text": "ing methodologies will be applied through role playing, presentations and problem-solving exercises. Moreover, hands-on practice on designing Brain-Computer Interface applications will be weekly practiced in the lab.", "source": "AI-English (2022).pdf", "chunk_id": 317, "language": "English", "was_translated": false }, { "text": "-on practice on designing Brain-Computer Interface applications will be weekly practiced in the lab.", "source": "AI-English (2022).pdf", "chunk_id": 318, "language": "English", "was_translated": false }, { "text": "Credit Hours Course Number Course Title Computational Problems and Techniques 1901444 3 Prerequisite: (1901341) Course Description The main goal of this course is to enable the students to solve classical computational problems, such as 0-1 knapsack, rod cutting, matrix chain multiplication, N-queens, and sudoku, using various computational techniques.", "source": "AI-English (2022).pdf", "chunk_id": 319, "language": "English", "was_translated": false }, { "text": "cutting, matrix chain multiplication, N-queens, and sudoku, using various computational techniques. The students will be introduced to the theoretical concepts for the computational problems and techniques and their implementations.", "source": "AI-English (2022).pdf", "chunk_id": 320, "language": "English", "was_translated": false }, { "text": "to the theoretical concepts for the computational problems and techniques and their implementations. The course covers various computational techniques such as complete search, iterative (all subsets and all permutations), backtracking, greedy approach, dynamic programming, and divide-and-conquer (binary search technique).", "source": "AI-English (2022).pdf", "chunk_id": 321, "language": "English", "was_translated": false }, { "text": "acktracking, greedy approach, dynamic programming, and divide-and-conquer (binary search technique). Also, the course covers two-pointers and range queries including static (partial and prefix sums) and dynamic (segment tree) with their implementations and usage. Weekly problems will be presented in the lab either individually or within groups.", "source": "AI-English (2022).pdf", "chunk_id": 322, "language": "English", "was_translated": false }, { "text": "ations and usage. Weekly problems will be presented in the lab either individually or within groups. Course Number Course Title Credit Hours 1905450 Game AI Prerequisite: (1905320) 3 Course Description This course introduces students to the techniques used to simulate Artificial Intelligence in computer games.", "source": "AI-English (2022).pdf", "chunk_id": 323, "language": "English", "was_translated": false }, { "text": "se introduces students to the techniques used to simulate Artificial Intelligence in computer games. AI is used in games to generate responsive or intelligent behaviour mainly for Non-Player Characters (NPCs), assist game designers in analyzing existing level designs, synthesizing new 34 QF-AQAC-02.03.1.2 Study Plan- Bachelors ones, and statistically model player behaviour.", "source": "AI-English (2022).pdf", "chunk_id": 324, "language": "English", "was_translated": false }, { "text": "izing new 34 QF-AQAC-02.03.1.2 Study Plan- Bachelors ones, and statistically model player behaviour. This course helps to understand how to decide which move to take based on future possibilities and n-moves look ahead. The course also explores how to solve parameters (e.g. time or distance) optimization applications, these applications usually have exponential possibilities.", "source": "AI-English (2022).pdf", "chunk_id": 325, "language": "English", "was_translated": false }, { "text": "e or distance) optimization applications, these applications usually have exponential possibilities. Some of covered techniques to stimulate intelligence in computer games include: movement, pathfinding with A* search, decision/ behaviour trees, state machines, machine learning, tactics.", "source": "AI-English (2022).pdf", "chunk_id": 326, "language": "English", "was_translated": false }, { "text": "t, pathfinding with A* search, decision/ behaviour trees, state machines, machine learning, tactics. Student will also learn some of the algorithms used for game development such as evade algorithms and flocking, etc. Several games will be considered to show how various steps of the algorithm are implemented in code. Students will work in small teams to develop technical practical projects.", "source": "AI-English (2022).pdf", "chunk_id": 327, "language": "English", "was_translated": false }, { "text": "are implemented in code. Students will work in small teams to develop technical practical projects. Active learning methodologies will be applied through role playing, presentations and problem-solving exercises. Moreover, hands-on practice on developing intelligent computer games will be weekly practiced in the lab.", "source": "AI-English (2022).pdf", "chunk_id": 328, "language": "English", "was_translated": false }, { "text": "ver, hands-on practice on developing intelligent computer games will be weekly practiced in the lab. In addition, guest speakers belonging to the Jordan s ICT will demonstrate state-of-the-art practices on developing computer games.", "source": "AI-English (2022).pdf", "chunk_id": 329, "language": "English", "was_translated": false }, { "text": "onging to the Jordan s ICT will demonstrate state-of-the-art practices on developing computer games. Course Number Course Title Software Engineering for AI-Enabled Systems Credit Hours 1905452 Prerequisite: (1905320 and 1902372) 3 Course Description The course takes a software engineering perspective on building software systems with a significant machine learning or AI component.", "source": "AI-English (2022).pdf", "chunk_id": 330, "language": "English", "was_translated": false }, { "text": "eering perspective on building software systems with a significant machine learning or AI component. It discusses how to take an idea and a model developed by an AI expert or data scientist and deploy it as part of scalable and maintainable system (e.g., mobile apps, web applications, IoT devices).", "source": "AI-English (2022).pdf", "chunk_id": 331, "language": "English", "was_translated": false }, { "text": "y it as part of scalable and maintainable system (e.g., mobile apps, web applications, IoT devices). Rather than focusing on modeling and learning itself, this course assumes a working relationship with the AI expert and data scientist and focuses on issues of design, implementation, operation, and assurance and how those interact with the data scientist's modeling.", "source": "AI-English (2022).pdf", "chunk_id": 332, "language": "English", "was_translated": false }, { "text": "implementation, operation, and assurance and how those interact with the data scientist's modeling.", "source": "AI-English (2022).pdf", "chunk_id": 333, "language": "English", "was_translated": false }, { "text": "This course is aimed at software engineers who want to understand the specific challenges of working with AI components and at AI experts and data scientists who want to understand the challenges of getting a prototype model into production; it facilitates communication and collaboration between both roles. The course also covers the applications of AI in the SDLC (i.e.", "source": "AI-English (2022).pdf", "chunk_id": 334, "language": "English", "was_translated": false }, { "text": "nd collaboration between both roles. The course also covers the applications of AI in the SDLC (i.e., Requirements prioritization, Bug prediction, etc.). One or two guest speakers with many years of experience in developing intelligent software engineering will be invited to share their first-hand experience with students.", "source": "AI-English (2022).pdf", "chunk_id": 335, "language": "English", "was_translated": false }, { "text": "intelligent software engineering will be invited to share their first-hand experience with students. Course Number Course Title Virtual Reality Credit Hours 1905453 Prerequisite: (1905322) 3 Course Description This course introduces the basic principles of Virtual Reality and its applications.", "source": "AI-English (2022).pdf", "chunk_id": 336, "language": "English", "was_translated": false }, { "text": "rse Description This course introduces the basic principles of Virtual Reality and its applications. The necessary hardware and software components of interactive 3D systems as well as human factors are discussed. The material is reinforced by practical assignments and projects. The topics will be as follows: applications, human sensory/motor system & capabilities.", "source": "AI-English (2022).pdf", "chunk_id": 337, "language": "English", "was_translated": false }, { "text": "nd projects. The topics will be as follows: applications, human sensory/motor system & capabilities. History of VR and AR, 35 QF-AQAC-02.03.1.2 Study Plan- Bachelors differences between VR/AR and normal experience. Virtual Reality Technology (VR): VR input devices, filtering & tracking, VR output devices, Augmented Reality (AR) hardware, spatial audio, and haptic.", "source": "AI-English (2022).pdf", "chunk_id": 338, "language": "English", "was_translated": false }, { "text": "filtering & tracking, VR output devices, Augmented Reality (AR) hardware, spatial audio, and haptic.", "source": "AI-English (2022).pdf", "chunk_id": 339, "language": "English", "was_translated": false }, { "text": "This course aims to make students know the basic concept and framework of virtual reality, teach students the principles and multidisciplinary features of virtual reality, teach students the technology for multimodal user interaction and perception in VR, in particular the visual, audial and haptic interface and behaviour, and provide students with an introduction to the VR system framework and", "source": "AI-English (2022).pdf", "chunk_id": 340, "language": "English", "was_translated": false }, { "text": "ic interface and behaviour, and provide students with an introduction to the VR system framework and development tools. Active learning methodologies will be applied through role playing, presentations and problem-solving exercises. Moreover, hands-on practice on virtual reality applications will be weekly practiced in the lab.", "source": "AI-English (2022).pdf", "chunk_id": 341, "language": "English", "was_translated": false }, { "text": "es. Moreover, hands-on practice on virtual reality applications will be weekly practiced in the lab.", "source": "AI-English (2022).pdf", "chunk_id": 342, "language": "English", "was_translated": false }, { "text": "Credit Hours Course Number Course Title Multimodal Intelligent Systems 1905454 3 Prerequisite: (1905320) Course Description This course aims to provide students with the foundation knowledge of unimodality, bimodality, and multimodality intelligent systems using human physiological and behavioural biometrics such as voice, fingerprint, iris, hand written signature, gait, and others.", "source": "AI-English (2022).pdf", "chunk_id": 343, "language": "English", "was_translated": false }, { "text": "d behavioural biometrics such as voice, fingerprint, iris, hand written signature, gait, and others. Fusion techniques will be taught in this course to enable students to combine biometrics at feature and decision levels. Students will be taught real world applications of fusing human biometrics with some hands-on experience.", "source": "AI-English (2022).pdf", "chunk_id": 344, "language": "English", "was_translated": false }, { "text": "nts will be taught real world applications of fusing human biometrics with some hands-on experience. Active learning methodologies will be applied through role playing, presentations and problem-solving exercises. Moreover, hands-on practice on modelling multimodal systems will be weekly practiced in the lab.", "source": "AI-English (2022).pdf", "chunk_id": 345, "language": "English", "was_translated": false }, { "text": "es. Moreover, hands-on practice on modelling multimodal systems will be weekly practiced in the lab. Credit Hours Course Number Course Title Cloud Computing 1915461 3 Prerequisite: (1905222 and 1901363) Course Description The course discusses the basic APIs used in the Microsoft and Amazon Clouds, including the techniques for building, deploying, and maintaining machine images and applications.", "source": "AI-English (2022).pdf", "chunk_id": 346, "language": "English", "was_translated": false }, { "text": ", including the techniques for building, deploying, and maintaining machine images and applications. Student will learn how to use Cloud as the infrastructure for existing and new services. They will use open source implementations of highly available clustering computational environments, as well as the 36 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 347, "language": "English", "was_translated": false }, { "text": "ations of highly available clustering computational environments, as well as the 36 QF-AQAC-02.03.1.2 Study Plan- Bachelors Representational State Transfer Web Services called (RESTful), to build very powerful and efficient applications.", "source": "AI-English (2022).pdf", "chunk_id": 348, "language": "English", "was_translated": false }, { "text": "nal State Transfer Web Services called (RESTful), to build very powerful and efficient applications. Also, students will learn how to deal with not trivial issues in the Cloud, such as load balancing, caching, distributed transactions, and identity and authorization management. It is expected that students will become familiar with Linux OS.", "source": "AI-English (2022).pdf", "chunk_id": 349, "language": "English", "was_translated": false }, { "text": "ntity and authorization management. It is expected that students will become familiar with Linux OS.", "source": "AI-English (2022).pdf", "chunk_id": 350, "language": "English", "was_translated": false }, { "text": "In addition, the course will cover Container Orchestration, Docker, Kubernetes, Cloud-based File System, Cloud-based Databases, Scalable Data Storage, Cloud based Machine Learning, Cloud based Analytics, Graph Processing, Graph Databases on the Cloud, introduction to Big Data Programming frameworks such as MapReduce, Spark, and Hadoop.", "source": "AI-English (2022).pdf", "chunk_id": 351, "language": "English", "was_translated": false }, { "text": "on the Cloud, introduction to Big Data Programming frameworks such as MapReduce, Spark, and Hadoop. It covers topics of data centers, virtualization, cloud storage, and programming models. The course also addresses the motivating factors, benefits, challenges and the service model. The course introduces several concepts in the design and management of data centers.", "source": "AI-English (2022).pdf", "chunk_id": 352, "language": "English", "was_translated": false }, { "text": "service model. The course introduces several concepts in the design and management of data centers. It also presents concepts such data distribution, robustness, consistency and redundancy.", "source": "AI-English (2022).pdf", "chunk_id": 353, "language": "English", "was_translated": false }, { "text": "a centers. It also presents concepts such data distribution, robustness, consistency and redundancy. Delivery will combine traditional lectures with other active teaching methodologies, such as group discussions, group solving problems, analysis of cases and debates, case study from different domains, and assignments.", "source": "AI-English (2022).pdf", "chunk_id": 354, "language": "English", "was_translated": false }, { "text": "solving problems, analysis of cases and debates, case study from different domains, and assignments.", "source": "AI-English (2022).pdf", "chunk_id": 355, "language": "English", "was_translated": false }, { "text": "Credit Hours Course Number Course Title IT Project Management 1904472 3 Prerequisite: (1902372) Course Description Students are expected to explore the processes, procedures, tools and techniques and results to create and execute an integrated project plan; it also expected to create project charter, determine requirements, defining creating and managing the project scope, and validating the", "source": "AI-English (2022).pdf", "chunk_id": 356, "language": "English", "was_translated": false }, { "text": "harter, determine requirements, defining creating and managing the project scope, and validating the deliverables. IT project managers are responsible for planning, organizing, allocating resources, budgeting and successfully executing organizations specific IT goals. This course uses active teaching methodologies, such as weekly lab applied sessions, group work and technical projects.", "source": "AI-English (2022).pdf", "chunk_id": 357, "language": "English", "was_translated": false }, { "text": "tive teaching methodologies, such as weekly lab applied sessions, group work and technical projects. In addition, speakers from the industry will be invited to discuss case studies and show the latest trends on the industry.", "source": "AI-English (2022).pdf", "chunk_id": 358, "language": "English", "was_translated": false }, { "text": "rom the industry will be invited to discuss case studies and show the latest trends on the industry.", "source": "AI-English (2022).pdf", "chunk_id": 359, "language": "English", "was_translated": false }, { "text": "Course Number Course Title Arabic Language Engineering Credit Hours 1905480 Prerequisite: (1905380) 3 Course Description Arabic Language Engineering course is an interdisciplinary course concerned with the use of Natural Language Processing tools and techniques to analyze and generate Arabic language in the forms of text and speech. It investigates the challenges of processing Arabic language.", "source": "AI-English (2022).pdf", "chunk_id": 360, "language": "English", "was_translated": false }, { "text": "guage in the forms of text and speech. It investigates the challenges of processing Arabic language. It discusses the linguistic theories and computational techniques for machine translation, information retrieval, text summarization, reference resolution, question answering, parsing, sense disambiguation, 37 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 361, "language": "English", "was_translated": false }, { "text": "zation, reference resolution, question answering, parsing, sense disambiguation, 37 QF-AQAC-02.03.1.2 Study Plan- Bachelors morphological analysis, speech analysis and synthesis. Active learning methodologies will be applied through role playing, presentations and problem-solving exercises. Moreover, hands-on practice on developing NLP applications for Arabic will be weekly practiced in the lab.", "source": "AI-English (2022).pdf", "chunk_id": 362, "language": "English", "was_translated": false }, { "text": "er, hands-on practice on developing NLP applications for Arabic will be weekly practiced in the lab. In addition, guest speakers belonging to the Jordan s ICT will demonstrate state-of-the-art practices on Arabic NLP applications.", "source": "AI-English (2022).pdf", "chunk_id": 363, "language": "English", "was_translated": false }, { "text": "elonging to the Jordan s ICT will demonstrate state-of-the-art practices on Arabic NLP applications. Credit Hours Course Number Course Title Model Deployment Frameworks 1915481 3 Prerequisite: (1915370) Course Description In this course, the student will learn how to deploy ML models and make them available to end- users.", "source": "AI-English (2022).pdf", "chunk_id": 364, "language": "English", "was_translated": false }, { "text": "n this course, the student will learn how to deploy ML models and make them available to end- users. In addition, the student will learn about the Model Deployment Platforms such as Django and Flask, and others. The student will build scalable and reliable infrastructure to deliver inference requests both in real-time and batch depending on the use case.", "source": "AI-English (2022).pdf", "chunk_id": 365, "language": "English", "was_translated": false }, { "text": "infrastructure to deliver inference requests both in real-time and batch depending on the use case. Student will also implement workflow automation and progressive delivery that complies with current MLOps practices to keep your production system running.", "source": "AI-English (2022).pdf", "chunk_id": 366, "language": "English", "was_translated": false }, { "text": "gressive delivery that complies with current MLOps practices to keep your production system running. Additionally, you will continuously monitor your system to detect model decay, remediate performance drops, and avoid system failures so it can continuously operate at all times.", "source": "AI-English (2022).pdf", "chunk_id": 367, "language": "English", "was_translated": false }, { "text": "remediate performance drops, and avoid system failures so it can continuously operate at all times. Delivery will combine traditional lectures with other active teaching methodologies, such as group discussions, group solving problems, analysis of cases and debates, case study from different domains, and assignments.", "source": "AI-English (2022).pdf", "chunk_id": 368, "language": "English", "was_translated": false }, { "text": "solving problems, analysis of cases and debates, case study from different domains, and assignments.", "source": "AI-English (2022).pdf", "chunk_id": 369, "language": "English", "was_translated": false }, { "text": "Credit Hours Course Number Course Title Security Intelligence 1911489 3 Prerequisite: (301131 and 1905320) Course Description This course introduces students to protecting an organization from external and inside threats as well as the processes, policies and tools designed to gather and analyze that information. It studies 38 QF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 370, "language": "English", "was_translated": false }, { "text": ", policies and tools designed to gather and analyze that information. It studies 38 QF-AQAC-02.03.1.2 Study Plan- Bachelors in-depth investigation of attackers and their techniques. Topics included: Various concepts, algorithms and techniques related to hunting, features extraction, attacks classification and tracking.", "source": "AI-English (2022).pdf", "chunk_id": 371, "language": "English", "was_translated": false }, { "text": "orithms and techniques related to hunting, features extraction, attacks classification and tracking. Course Number Course Title Special Topics in Artificial Intelligence Credit Hours 1905493 Prerequisite: (1905320) 3 Course Description The course goes in depth on selected topics and methods within Artificial Intelligence (AI) and its applications.", "source": "AI-English (2022).pdf", "chunk_id": 372, "language": "English", "was_translated": false }, { "text": "es in depth on selected topics and methods within Artificial Intelligence (AI) and its applications. Including Information extraction, industrial applications of AI, advanced logic-based AI, Statistical Relational learning, representing and reasoning about knowledge, in addition to computational intelligence algorithms in search, optimization and classification.", "source": "AI-English (2022).pdf", "chunk_id": 373, "language": "English", "was_translated": false }, { "text": "ge, in addition to computational intelligence algorithms in search, optimization and classification. On the other hand, the course will review and analyse the basic approaches to building intelligent software agents and AI applications in remote sensing. An agent is a system situated within and part of an environment that senses that environment and acts on it.", "source": "AI-English (2022).pdf", "chunk_id": 374, "language": "English", "was_translated": false }, { "text": "is a system situated within and part of an environment that senses that environment and acts on it. Intelligent software agents are AI programs that can assist users in various ways. For instance, they can perform tasks on the user's behalf, they can advise, train or teach the user, they can monitor events for the user, or help different users collaborate.", "source": "AI-English (2022).pdf", "chunk_id": 375, "language": "English", "was_translated": false }, { "text": "train or teach the user, they can monitor events for the user, or help different users collaborate. This will allow the act of making computers demonstrate intelligent behaviour, so that they can solve new problems or cope with the unknown. 39 QF-AQAC-02.03.1.2 Study Plan- Bachelors", "source": "AI-English (2022).pdf", "chunk_id": 376, "language": "English", "was_translated": false }, { "text": "hat they can solve new problems or cope with the unknown. 39 QF-AQAC-02.03.1.2 Study Plan- Bachelors", "source": "AI-English (2022).pdf", "chunk_id": 377, "language": "English", "was_translated": false }, { "text": "خطة تخصص الذكاء الاصطناعي - الجامعة الأردنية القسم الأول: نظرة عامة على تخصص الذكاء الاصطناعي في الجامعة الأردنية تقدّم الجامعة الأردنية من خلال كلية الهندسة والتكنولوجيا المعروفة بـ iTeam تخصصاً أكاديمياً متكاملاً في مجال الذكاء الاصطناعي، وهو تخصص يمتد على مدى أربع سنوات دراسية تشمل مجموعة متنوعة من المقررات الإلزامية والاختيارية الموزعة بشكل منهجي ومتدرج.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 1, "language": "Arabic", "was_translated": false }, { "text": "دى أربع سنوات دراسية تشمل مجموعة متنوعة من المقررات الإلزامية والاختيارية الموزعة بشكل منهجي ومتدرج. يشترط إتمام التخصص بنجاح أن يجتاز الطالب ما لا يقل عن خمسة وأربعين ساعة معتمدة خلال المراحل الأولى، فضلاً عن اجتياز تسعين ساعة معتمدة في المجموع الكلي للتخصص بما يشمل المشاريع والمقررات التطبيقية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 2, "language": "Arabic", "was_translated": false }, { "text": "لى، فضلاً عن اجتياز تسعين ساعة معتمدة في المجموع الكلي للتخصص بما يشمل المشاريع والمقررات التطبيقية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 3, "language": "Arabic", "was_translated": false }, { "text": "نظام تلوين الخطة الدراسية تتوزع المقررات على أربع سنوات دراسية يُميَّز بينها بنظام ألوان محدد في الخطة الدراسية المعتمدة: السنة الأولى: اللون التيفاني / الفيروزي السنة الثانية: اللون الكحلي الداكن / الأزرق الغامق السنة الثالثة: اللون البرتقالي السنة الرابعة: اللون الأحمر المقررات الاختيارية: اللون البرتقالي الفاتح - يمكن للطالب اختيارها ضمن ساعاته التخصصية القسم الثاني: المقررات التمهيدية", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 4, "language": "Arabic", "was_translated": false }, { "text": ": اللون البرتقالي الفاتح - يمكن للطالب اختيارها ضمن ساعاته التخصصية القسم الثاني: المقررات التمهيدية والمتطلبات الأساسية قبل الدخول في التخصص قبل الشروع في دراسة مقررات تخصص الذكاء الاصطناعي بشكل فعلي، يُطلب من الطالب إتمام مجموعة من المقررات الأساسية التي تُشكّل الركيزة المعرفية والمهارية اللازمة للنجاح في المراحل الدراسية المتقدمة.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 5, "language": "Arabic", "was_translated": false }, { "text": "لمقررات الأساسية التي تُشكّل الركيزة المعرفية والمهارية اللازمة للنجاح في المراحل الدراسية المتقدمة. قائمة المقررات التمهيدية المقرر رقم 1 - أساسيات الحاسوب 99 الاسم الإنجليزي: CS99 / أساسيات الحاسوب الوصف: يُعرِّف الطالب بالمفاهيم الأساسية في علم الحاسوب وبنيته وأنظمة التشغيل.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 6, "language": "Arabic", "was_translated": false }, { "text": "S99 / أساسيات الحاسوب الوصف: يُعرِّف الطالب بالمفاهيم الأساسية في علم الحاسوب وبنيته وأنظمة التشغيل. المقرر رقم 2 - مقدمة في البرمجة C++ الاسم الإنجليزي: Intro to C++ الوصف: يُدرِّب الطالب على كتابة برامج هيكلية باستخدام لغة C++ وفهم البرمجة الإجرائية. المقرر رقم 3 - رياضيات منفصلة الاسم الإنجليزي: Discrete الوصف: يُغطي المنطق الرياضي والمجموعات والبيانات والخوارزميات الأساسية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 7, "language": "Arabic", "was_translated": false }, { "text": "لة الاسم الإنجليزي: Discrete الوصف: يُغطي المنطق الرياضي والمجموعات والبيانات والخوارزميات الأساسية. المقرر رقم 4 - الجبر الخطي لعلوم الحوسبة الاسم الإنجليزي: Linear Algebra الوصف: يشمل المصفوفات والمتجهات والفضاءات الجبرية اللازمة لخوارزميات الذكاء الاصطناعي. المقرر رقم 5 - تفاضل وتكامل 1 الاسم الإنجليزي: Calculus 1 الوصف: يتناول التفاضل والتكامل الأحادي المتغير وتطبيقاته في تحسين النماذج.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 8, "language": "Arabic", "was_translated": false }, { "text": "اسم الإنجليزي: Calculus 1 الوصف: يتناول التفاضل والتكامل الأحادي المتغير وتطبيقاته في تحسين النماذج. المقرر رقم 6 - أساسيات تكنولوجيا المعلومات الاسم الإنجليزي: fund الوصف: يُرسِّخ مفاهيم أنظمة المعلومات وتكنولوجيا الاتصالات.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 9, "language": "Arabic", "was_translated": false }, { "text": "كنولوجيا المعلومات الاسم الإنجليزي: fund الوصف: يُرسِّخ مفاهيم أنظمة المعلومات وتكنولوجيا الاتصالات. القسم الثالث: مقررات السنة الأولى - اللون الفيروزي / التيفاني تُمثّل السنة الأولى في تخصص الذكاء الاصطناعي مرحلة بناء الأساس التقني والبرمجي، وتتضمن المقررات التي تُلوَّن بالفيروزي أو التيفاني في الخطة الدراسية الرسمية المعتمدة من قِبل كلية الهندسة والتكنولوجيا بالجامعة الأردنية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 10, "language": "Arabic", "was_translated": false }, { "text": "أو التيفاني في الخطة الدراسية الرسمية المعتمدة من قِبل كلية الهندسة والتكنولوجيا بالجامعة الأردنية. المقررات الإلزامية لمقررات السنة الأولى المقرر 1 - البرمجة كائنية التوجه الاسم الإنجليزي: OOP عدد الساعات المقترحة: 3 ساعات المحتوى: الكلاسات، الكائنات، الوراثة، التعددية الشكلية، التغليف، مبادئ SOLID.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 11, "language": "Arabic", "was_translated": false }, { "text": "اعات المقترحة: 3 ساعات المحتوى: الكلاسات، الكائنات، الوراثة، التعددية الشكلية، التغليف، مبادئ SOLID. الوصف التفصيلي: يُدرِّب الطالب على مفاهيم البرمجة الكائنية كالكلاسات والكائنات والوراثة والتعددية الشكلية والتغليف، وهذه المفاهيم ضرورية لفهم بنية المكتبات والأطر البرمجية المستخدمة في الذكاء الاصطناعي مثل TensorFlow وPyTorch.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 12, "language": "Arabic", "was_translated": false }, { "text": "هيم ضرورية لفهم بنية المكتبات والأطر البرمجية المستخدمة في الذكاء الاصطناعي مثل TensorFlow وPyTorch. المقرر 2 - شبكات الحاسوب الاسم الإنجليزي: Networks عدد الساعات المقترحة: 3 ساعات المحتوى: بروتوكولات الاتصال، OSI، TCP/IP، الإنترنت، أمن الشبكات الأساسي.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 13, "language": "Arabic", "was_translated": false }, { "text": "د الساعات المقترحة: 3 ساعات المحتوى: بروتوكولات الاتصال، OSI، TCP/IP، الإنترنت، أمن الشبكات الأساسي. الوصف التفصيلي: يُغطي بروتوكولات الاتصال بين الحواسيب ونماذج OSI وTCP/IP وأساسيات الإنترنت، وهي معارف ضرورية لفهم بيئات النشر السحابي لنماذج الذكاء الاصطناعي.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 14, "language": "Arabic", "was_translated": false }, { "text": "ذج OSI وTCP/IP وأساسيات الإنترنت، وهي معارف ضرورية لفهم بيئات النشر السحابي لنماذج الذكاء الاصطناعي. المقرر 3 - تراكيب البيانات الاسم الإنجليزي: Data Structures عدد الساعات المقترحة: 3 ساعات المحتوى: القوائم المترابطة، الأشجار، الرسوم البيانية، جداول التقطيع، الخوارزميات الأساسية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 15, "language": "Arabic", "was_translated": false }, { "text": ": 3 ساعات المحتوى: القوائم المترابطة، الأشجار، الرسوم البيانية، جداول التقطيع، الخوارزميات الأساسية. الوصف التفصيلي: من أهم المقررات الأساسية لأي مبرمج إذ يُعلّم الطالب كيفية تنظيم البيانات واسترجاعها بكفاءة باستخدام هياكل مثل القوائم المترابطة والأشجار والرسوم البيانية وجداول التقطيع.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 16, "language": "Arabic", "was_translated": false }, { "text": "نات واسترجاعها بكفاءة باستخدام هياكل مثل القوائم المترابطة والأشجار والرسوم البيانية وجداول التقطيع. المقرر 4 - مقدمة في الذكاء الاصطناعي الاسم الإنجليزي: Info to AI عدد الساعات المقترحة: 3 ساعات المحتوى: تاريخ الذكاء الاصطناعي، المفاهيم الأساسية، التطبيقات، أنواع الذكاء الاصطناعي.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 17, "language": "Arabic", "was_translated": false }, { "text": "ترحة: 3 ساعات المحتوى: تاريخ الذكاء الاصطناعي، المفاهيم الأساسية، التطبيقات، أنواع الذكاء الاصطناعي. الوصف التفصيلي: المقرر التمهيدي الذي يُعرِّف الطالب بتاريخ الذكاء الاصطناعي ومفاهيمه الأساسية وتطبيقاته العامة وتصنيفات أنواعه المختلفة، ويُعدّ بوابة الدخول الرسمية إلى عالم الذكاء الاصطناعي الأكاديمي.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 18, "language": "Arabic", "was_translated": false }, { "text": "ته العامة وتصنيفات أنواعه المختلفة، ويُعدّ بوابة الدخول الرسمية إلى عالم الذكاء الاصطناعي الأكاديمي. المقرر 5 - مبادئ الإحصاء الاسم الإنجليزي: Statistics عدد الساعات المقترحة: 3 ساعات المحتوى: الإحصاء الوصفي والاستنتاجي، التوزيعات الاحتمالية، الاختبارات الإحصائية. الوصف التفصيلي: يتناول مبادئ الإحصاء الوصفي والاستنتاجي والاحتمالات وتوزيعاتها، وهي أدوات جوهرية لفهم نماذج التعلم الآلي وتقييمها.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 19, "language": "Arabic", "was_translated": false }, { "text": "لإحصاء الوصفي والاستنتاجي والاحتمالات وتوزيعاتها، وهي أدوات جوهرية لفهم نماذج التعلم الآلي وتقييمها. القسم الرابع: مقررات السنة الثانية - اللون الكحلي / الأزرق الغامق تُمثّل السنة الثانية مرحلة التعمق في البنى التحتية لعلم الحاسوب والذكاء الاصطناعي، وتُلوَّن مقرراتها باللون الكحلي أو الأزرق الغامق، وتُشكّل العمود الفقري الأكاديمي للتخصص من حيث المعارف التقنية المتوسطة.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 20, "language": "Arabic", "was_translated": false }, { "text": "لون الكحلي أو الأزرق الغامق، وتُشكّل العمود الفقري الأكاديمي للتخصص من حيث المعارف التقنية المتوسطة. المقرر 1 - برمجة الذكاء الاصطناعي الاسم الإنجليزي: AI-Prog عدد الساعات المقترحة: 3 ساعات المحتوى: تطبيق خوارزميات البحث والاستدلال المنطقي برمجياً بلغة Python.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 21, "language": "Arabic", "was_translated": false }, { "text": "عدد الساعات المقترحة: 3 ساعات المحتوى: تطبيق خوارزميات البحث والاستدلال المنطقي برمجياً بلغة Python. الوصف التفصيلي: يُدرِّب الطالب على تطبيق خوارزميات الذكاء الاصطناعي برمجياً باستخدام لغات برمجة متخصصة مثل Python، ويشمل تطبيق خوارزميات البحث والاستدلال المنطقي.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 22, "language": "Arabic", "was_translated": false }, { "text": "طناعي برمجياً باستخدام لغات برمجة متخصصة مثل Python، ويشمل تطبيق خوارزميات البحث والاستدلال المنطقي. المقرر 2 - برمجة الذكاء الاصطناعي المتقدمة الاسم الإنجليزي: Adv AI-Prog عدد الساعات المقترحة: 3 ساعات المحتوى: نماذج التعلم الآلي المتقدمة وتحسين أدائها. الوصف التفصيلي: امتداد لمقرر AI-Prog يتناول موضوعات برمجية أكثر تعقيداً تشمل تطبيق نماذج التعلم الآلي المختلفة من البداية وتحسين أدائها.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 23, "language": "Arabic", "was_translated": false }, { "text": "يتناول موضوعات برمجية أكثر تعقيداً تشمل تطبيق نماذج التعلم الآلي المختلفة من البداية وتحسين أدائها. المقرر 3 - أنظمة إدارة قواعد البيانات الاسم الإنجليزي: DataBase عدد الساعات المقترحة: 3 ساعات المحتوى: تصميم قواعد البيانات العلائقية، SQL، الاستعلامات المعقدة.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 24, "language": "Arabic", "was_translated": false }, { "text": "ase عدد الساعات المقترحة: 3 ساعات المحتوى: تصميم قواعد البيانات العلائقية، SQL، الاستعلامات المعقدة. الوصف التفصيلي: يُعرِّف الطالب بمبادئ تصميم قواعد البيانات العلائقية ولغة SQL وعمليات الاستعلام والتحديث والحذف والإدراج، وهي مهارات ضرورية لإدارة بيانات التدريب في مشاريع الذكاء الاصطناعي.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 25, "language": "Arabic", "was_translated": false }, { "text": "ستعلام والتحديث والحذف والإدراج، وهي مهارات ضرورية لإدارة بيانات التدريب في مشاريع الذكاء الاصطناعي. المقرر 4 - أمن وخصوصية المعلومات الاسم الإنجليزي: Info Security عدد الساعات المقترحة: 3 ساعات المحتوى: تأمين الأنظمة وحماية البيانات والخصوصية الرقمية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 26, "language": "Arabic", "was_translated": false }, { "text": "nfo Security عدد الساعات المقترحة: 3 ساعات المحتوى: تأمين الأنظمة وحماية البيانات والخصوصية الرقمية. الوصف التفصيلي: يُغطي مبادئ تأمين الأنظمة الرقمية وحماية البيانات والخصوصية، وهو ذو أهمية خاصة في سياق نماذج الذكاء الاصطناعي التي تتعامل مع بيانات حساسة.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 27, "language": "Arabic", "was_translated": false }, { "text": "ية البيانات والخصوصية، وهو ذو أهمية خاصة في سياق نماذج الذكاء الاصطناعي التي تتعامل مع بيانات حساسة. المقرر 5 - هندسة البرمجيات الاسم الإنجليزي: Software Engineering عدد الساعات المقترحة: 3 ساعات المحتوى: دورة حياة التطوير، Agile، Scrum، إدارة المشاريع التقنية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 28, "language": "Arabic", "was_translated": false }, { "text": "ring عدد الساعات المقترحة: 3 ساعات المحتوى: دورة حياة التطوير، Agile، Scrum، إدارة المشاريع التقنية. الوصف التفصيلي: يُعلِّم الطالب دورة حياة تطوير البرمجيات ومنهجيات إدارة المشاريع التقنية مثل Agile وScrum وهي مهارات أساسية لإنجاز مشاريع الذكاء الاصطناعي ضمن فرق عمل.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 29, "language": "Arabic", "was_translated": false }, { "text": "دارة المشاريع التقنية مثل Agile وScrum وهي مهارات أساسية لإنجاز مشاريع الذكاء الاصطناعي ضمن فرق عمل. المقرر 6 - التنقيب في البيانات الاسم الإنجليزي: Data Mining عدد الساعات المقترحة: 3 ساعات المحتوى: استخراج الأنماط، التجميع، التصنيف، قواعد الارتباط. الوصف التفصيلي: يُعلِّم تقنيات استخراج الأنماط المخفية من مجموعات البيانات الضخمة باستخدام خوارزميات مثل التجميع والتصنيف وقواعد الارتباط.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 30, "language": "Arabic", "was_translated": false }, { "text": "الأنماط المخفية من مجموعات البيانات الضخمة باستخدام خوارزميات مثل التجميع والتصنيف وقواعد الارتباط. المقرر 7 - الحوسبة السحابية الاسم الإنجليزي: Cloud Computing عدد الساعات المقترحة: 3 ساعات المحتوى: IaaS / PaaS / SaaS، نشر نماذج الذكاء الاصطناعي سحابياً.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 31, "language": "Arabic", "was_translated": false }, { "text": "uting عدد الساعات المقترحة: 3 ساعات المحتوى: IaaS / PaaS / SaaS، نشر نماذج الذكاء الاصطناعي سحابياً. الوصف التفصيلي: يُغطي نماذج الخدمة السحابية كـ IaaS وPaaS وSaaS وكيفية نشر نماذج الذكاء الاصطناعي على المنصات السحابية مثل AWS وGoogle Cloud وAzure.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 32, "language": "Arabic", "was_translated": false }, { "text": "aaS وPaaS وSaaS وكيفية نشر نماذج الذكاء الاصطناعي على المنصات السحابية مثل AWS وGoogle Cloud وAzure. المقرر 8 - نظرية الخوارزميات الاسم الإنجليزي: Algo عدد الساعات المقترحة: 3 ساعات المحتوى: تحليل التعقيد، البرمجة الديناميكية، الخوارزميات الجشعة، التقسيم والتغليب.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 33, "language": "Arabic", "was_translated": false }, { "text": "المقترحة: 3 ساعات المحتوى: تحليل التعقيد، البرمجة الديناميكية، الخوارزميات الجشعة، التقسيم والتغليب. الوصف التفصيلي: يتعمق في تحليل تعقيد الخوارزميات من حيث الزمن والذاكرة ويُغطي خوارزميات التصميم المتقدمة كالبرمجة الديناميكية والخوارزميات الجشعة والتقسيم والتغليب. المقرر 9 - الذكاء الاصطناعي الاسم الإنجليزي: AI عدد الساعات المقترحة: 3 ساعات المحتوى: الإطار النظري الشامل لعلم الذكاء الاصطناعي.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 34, "language": "Arabic", "was_translated": false }, { "text": "اسم الإنجليزي: AI عدد الساعات المقترحة: 3 ساعات المحتوى: الإطار النظري الشامل لعلم الذكاء الاصطناعي. الوصف التفصيلي: المقرر المحوري الذي يدمج الخيوط المختلفة لعلم الذكاء الاصطناعي في إطار نظري ومنهجي شامل. المقرر 10 - الإحصاء التطبيقي الاسم الإنجليزي: Statistics (تطبيقي) عدد الساعات المقترحة: 3 ساعات المحتوى: الإحصاء الاستدلالي والتطبيقي والنمذجة الإحصائية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 35, "language": "Arabic", "was_translated": false }, { "text": "ics (تطبيقي) عدد الساعات المقترحة: 3 ساعات المحتوى: الإحصاء الاستدلالي والتطبيقي والنمذجة الإحصائية. القسم الخامس: مقررات السنة الثالثة - اللون البرتقالي تُمثّل السنة الثالثة مرحلة التخصص العميق وتتضمن مجموعة متنوعة ومتقدمة من المقررات التي تُغطي أبرز مجالات الذكاء الاصطناعي الفرعية، وتُلوَّن هذه المقررات باللون البرتقالي في الخطة الدراسية المعتمدة.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 36, "language": "Arabic", "was_translated": false }, { "text": "مجالات الذكاء الاصطناعي الفرعية، وتُلوَّن هذه المقررات باللون البرتقالي في الخطة الدراسية المعتمدة. أ - مسار التعلم الآلي والبيانات المقرر 1 - التعلم الآلي والشبكات العصبونية الاسم الإنجليزي: ML عدد الساعات المقترحة: 3 ساعات المحتوى: خوارزميات التعلم الخاضع وغير الخاضع للإشراف، الشبكات العصبونية الاصطناعية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 37, "language": "Arabic", "was_translated": false }, { "text": "لمقترحة: 3 ساعات المحتوى: خوارزميات التعلم الخاضع وغير الخاضع للإشراف، الشبكات العصبونية الاصطناعية. الوصف التفصيلي: من أكثر المقررات أهمية في تخصص الذكاء الاصطناعي إذ يُغطي خوارزميات التعلم الخاضع للإشراف وغير الخاضع له ومفاهيم الشبكات العصبونية الاصطناعية وكيفية بناء وتدريب النماذج التنبؤية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 38, "language": "Arabic", "was_translated": false }, { "text": "اضع للإشراف وغير الخاضع له ومفاهيم الشبكات العصبونية الاصطناعية وكيفية بناء وتدريب النماذج التنبؤية. المقرر 2 - التعلم العميق الاسم الإنجليزي: Deep Learning عدد الساعات المقترحة: 3 ساعات المحتوى: CNN, RNN, Transformers, نماذج اللغة الكبيرة.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 39, "language": "Arabic", "was_translated": false }, { "text": "ي: Deep Learning عدد الساعات المقترحة: 3 ساعات المحتوى: CNN, RNN, Transformers, نماذج اللغة الكبيرة. الوصف التفصيلي: الامتداد الطبيعي لمقرر ML إذ يتعمق في بنى الشبكات العصبونية العميقة كالشبكات التلافيفية CNN والشبكات التكرارية RNN ومحولات البيانات Transformers التي تُشكّل الأساس التقني لنماذج اللغة الكبيرة.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 40, "language": "Arabic", "was_translated": false }, { "text": "والشبكات التكرارية RNN ومحولات البيانات Transformers التي تُشكّل الأساس التقني لنماذج اللغة الكبيرة. المقرر 3 - البيانات الضخمة الاسم الإنجليزي: Big Data عدد الساعات المقترحة: 3 ساعات المحتوى: Hadoop, Spark، معالجة البيانات الهائلة.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 41, "language": "Arabic", "was_translated": false }, { "text": "م الإنجليزي: Big Data عدد الساعات المقترحة: 3 ساعات المحتوى: Hadoop, Spark، معالجة البيانات الهائلة. الوصف التفصيلي: يُعلِّم الطالب كيفية معالجة وتحليل مجموعات البيانات الهائلة التي تتجاوز إمكانيات الأنظمة التقليدية، باستخدام أطر العمل مثل Hadoop وSpark وأدوات البيانات الضخمة المتخصصة.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 42, "language": "Arabic", "was_translated": false }, { "text": "وز إمكانيات الأنظمة التقليدية، باستخدام أطر العمل مثل Hadoop وSpark وأدوات البيانات الضخمة المتخصصة. المقرر 4 - التمثيل المرئي للبيانات الاسم الإنجليزي: Data Visualization عدد الساعات المقترحة: 3 ساعات المحتوى: Matplotlib, Seaborn, Tableau، تصميم لوحات البيانات.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 43, "language": "Arabic", "was_translated": false }, { "text": "alization عدد الساعات المقترحة: 3 ساعات المحتوى: Matplotlib, Seaborn, Tableau، تصميم لوحات البيانات. الوصف التفصيلي: يُدرِّب الطالب على تقنيات تحويل البيانات المعقدة إلى تصورات بصرية مفهومة ومقنعة باستخدام أدوات مثل Matplotlib وSeaborn وTableau. المقرر 5 - البيانات الطبية الاسم الإنجليزي: Medical Data عدد الساعات المقترحة: 3 ساعات المحتوى: الذكاء الاصطناعي في الصحة، السجلات الصحية الإلكترونية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 44, "language": "Arabic", "was_translated": false }, { "text": "l Data عدد الساعات المقترحة: 3 ساعات المحتوى: الذكاء الاصطناعي في الصحة، السجلات الصحية الإلكترونية. الوصف التفصيلي: يُركّز على تطبيقات الذكاء الاصطناعي في القطاع الصحي وكيفية التعامل مع البيانات الطبية الحساسة وبنية السجلات الصحية الإلكترونية والتحديات الأخلاقية المرتبطة بها.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 45, "language": "Arabic", "was_translated": false }, { "text": "لتعامل مع البيانات الطبية الحساسة وبنية السجلات الصحية الإلكترونية والتحديات الأخلاقية المرتبطة بها. المقرر 6 - المعلوماتية الحيوية الاسم الإنجليزي: Bioinformatics عدد الساعات المقترحة: 3 ساعات المحتوى: تحليل التسلسلات الجينية، الذكاء الاصطناعي في علم الأحياء. الوصف التفصيلي: يستكشف تطبيقات الذكاء الاصطناعي في علم الأحياء وتحليل التسلسلات الجينية والبروتينية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 46, "language": "Arabic", "was_translated": false }, { "text": "الوصف التفصيلي: يستكشف تطبيقات الذكاء الاصطناعي في علم الأحياء وتحليل التسلسلات الجينية والبروتينية. المقرر 7 - تمييز الأنماط وتحليل المعلومات الاسم الإنجليزي: Pattern and Analysis عدد الساعات المقترحة: 3 ساعات المحتوى: تقنيات التعرف على الأنماط في البيانات بمختلف أشكالها.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 47, "language": "Arabic", "was_translated": false }, { "text": "nalysis عدد الساعات المقترحة: 3 ساعات المحتوى: تقنيات التعرف على الأنماط في البيانات بمختلف أشكالها. ب - مسار الرؤية الحاسوبية والواقع الافتراضي المقرر 8 - الرؤية الحاسوبية الاسم الإنجليزي: Computer Vision عدد الساعات المقترحة: 3 ساعات المحتوى: كشف الأشياء، التعرف على الوجوه، تقسيم الصور، تتبع الحركة.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 48, "language": "Arabic", "was_translated": false }, { "text": "ion عدد الساعات المقترحة: 3 ساعات المحتوى: كشف الأشياء، التعرف على الوجوه، تقسيم الصور، تتبع الحركة. الوصف التفصيلي: يُعلِّم الطالب كيفية تمكين الحواسيب من تفسير وفهم محتوى الصور والفيديو، ويشمل موضوعات مثل الكشف عن الأشياء والتعرف على الوجوه وتقسيم الصور وتتبع الحركة.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 49, "language": "Arabic", "was_translated": false }, { "text": "توى الصور والفيديو، ويشمل موضوعات مثل الكشف عن الأشياء والتعرف على الوجوه وتقسيم الصور وتتبع الحركة. المقرر 9 - الواقع الافتراضي الاسم الإنجليزي: VR عدد الساعات المقترحة: 3 ساعات المحتوى: بيئات المحاكاة، التفاعل المجسَّد، معالجة الإشارات المكانية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 50, "language": "Arabic", "was_translated": false }, { "text": "R عدد الساعات المقترحة: 3 ساعات المحتوى: بيئات المحاكاة، التفاعل المجسَّد، معالجة الإشارات المكانية. الوصف التفصيلي: يستكشف تقنيات إنشاء البيئات المحاكاة والتفاعل معها، وهو مجال يتقاطع مع الذكاء الاصطناعي في تطبيقات مثل المحاكاة التدريبية ومعالجة الإشارات المكانية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 51, "language": "Arabic", "was_translated": false }, { "text": "ها، وهو مجال يتقاطع مع الذكاء الاصطناعي في تطبيقات مثل المحاكاة التدريبية ومعالجة الإشارات المكانية. المقرر 10 - أطر نشر النماذج الاسم الإنجليزي: Frameworks عدد الساعات المقترحة: 3 ساعات المحتوى: TensorFlow, PyTorch, Keras، نشر النماذج في الإنتاج.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 52, "language": "Arabic", "was_translated": false }, { "text": "rameworks عدد الساعات المقترحة: 3 ساعات المحتوى: TensorFlow, PyTorch, Keras، نشر النماذج في الإنتاج. الوصف التفصيلي: يُدرِّب الطالب على استخدام أطر العمل البرمجية المتخصصة في الذكاء الاصطناعي مثل TensorFlow وPyTorch وKeras ونشر النماذج المدرَّبة في بيئات الإنتاج.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 53, "language": "Arabic", "was_translated": false }, { "text": "المتخصصة في الذكاء الاصطناعي مثل TensorFlow وPyTorch وKeras ونشر النماذج المدرَّبة في بيئات الإنتاج. ج - مسار أنظمة الحوسبة المتقدمة المقرر 11 - الأنظمة المدمجة الاسم الإنجليزي: Embedded System عدد الساعات المقترحة: 3 ساعات المحتوى: برمجة الأجهزة المحدودة الموارد وتطبيق الذكاء الاصطناعي عليها.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 54, "language": "Arabic", "was_translated": false }, { "text": "عدد الساعات المقترحة: 3 ساعات المحتوى: برمجة الأجهزة المحدودة الموارد وتطبيق الذكاء الاصطناعي عليها. الوصف التفصيلي: يُعرِّف الطالب ببرمجة وتصميم الأنظمة المدمجة والأجهزة ذات الموارد المحدودة التي تعمل بخوارزميات ذكاء اصطناعي مضغوطة. المقرر 12 - إنترنت الأشياء الاسم الإنجليزي: IOT عدد الساعات المقترحة: 3 ساعات المحتوى: ربط الأجهزة بالإنترنت، Edge AI، جمع البيانات من المستشعرات.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 55, "language": "Arabic", "was_translated": false }, { "text": "T عدد الساعات المقترحة: 3 ساعات المحتوى: ربط الأجهزة بالإنترنت، Edge AI، جمع البيانات من المستشعرات. الوصف التفصيلي: يُغطي مفاهيم ربط الأجهزة والمستشعرات بالإنترنت وجمع البيانات منها ومعالجتها بخوارزميات الذكاء الاصطناعي لتطبيقات الذكاء الاصطناعي على الحافة Edge AI.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 56, "language": "Arabic", "was_translated": false }, { "text": "مع البيانات منها ومعالجتها بخوارزميات الذكاء الاصطناعي لتطبيقات الذكاء الاصطناعي على الحافة Edge AI. المقرر 13 - قواعد البيانات غير العلائقية الاسم الإنجليزي: No SQL DB عدد الساعات المقترحة: 3 ساعات المحتوى: MongoDB, Redis, Cassandra، تخزين البيانات غير المهيكلة. الوصف التفصيلي: يُدرِّب الطالب على قواعد البيانات من نوع MongoDB وCassandra وRedis المناسبة لتخزين بيانات التدريب غير المهيكلة.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 57, "language": "Arabic", "was_translated": false }, { "text": "الب على قواعد البيانات من نوع MongoDB وCassandra وRedis المناسبة لتخزين بيانات التدريب غير المهيكلة. المقرر 14 - أدوات قواعد البيانات الاسم الإنجليزي: DB Tools عدد الساعات المقترحة: 3 ساعات المحتوى: الأدوات والتقنيات المتخصصة في إدارة وتحسين قواعد البيانات المستخدمة في تطبيقات الذكاء الاصطناعي.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 58, "language": "Arabic", "was_translated": false }, { "text": "وى: الأدوات والتقنيات المتخصصة في إدارة وتحسين قواعد البيانات المستخدمة في تطبيقات الذكاء الاصطناعي. د - مسار إدارة المعرفة والمشاريع المقرر 15 - إدارة مشاريع تكنولوجيا المعلومات الاسم الإنجليزي: ITE عدد الساعات المقترحة: 3 ساعات المحتوى: مهارات إدارة مشاريع تكنولوجيا المعلومات المتكاملة.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 59, "language": "Arabic", "was_translated": false }, { "text": "جليزي: ITE عدد الساعات المقترحة: 3 ساعات المحتوى: مهارات إدارة مشاريع تكنولوجيا المعلومات المتكاملة. المقرر 16 - إدارة المشاريع الاسم الإنجليزي: Project Management عدد الساعات المقترحة: 3 ساعات المحتوى: منهجيات إدارة المشاريع الرشيقة والتقليدية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 60, "language": "Arabic", "was_translated": false }, { "text": "Project Management عدد الساعات المقترحة: 3 ساعات المحتوى: منهجيات إدارة المشاريع الرشيقة والتقليدية. المقرر 17 - الأنطولوجيا ومخططات المعرفة الاسم الإنجليزي: Ontologies عدد الساعات المقترحة: 3 ساعات المحتوى: تمثيل المعرفة المهيكلة لأنظمة الاستدلال المنطقي وقواعد المعرفة. الوصف التفصيلي: يُغطي تمثيل المعرفة بأشكال مهيكلة تُستخدم في بناء أنظمة الاستدلال المنطقي وقواعد المعرفة.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 61, "language": "Arabic", "was_translated": false }, { "text": "التفصيلي: يُغطي تمثيل المعرفة بأشكال مهيكلة تُستخدم في بناء أنظمة الاستدلال المنطقي وقواعد المعرفة. المقرر 18 - تمثيل واستدلال المعرفة الاسم الإنجليزي: KRR عدد الساعات المقترحة: 3 ساعات المحتوى: تمثيل المعرفة البشرية حاسوبياً ومنطق الاستدلال الآلي. الوصف التفصيلي: يُعلِّم الطالب تقنيات تمثيل المعرفة البشرية بصيغ قابلة للمعالجة الحاسوبية ومنطق الاستدلال الآلي.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 62, "language": "Arabic", "was_translated": false }, { "text": "لي: يُعلِّم الطالب تقنيات تمثيل المعرفة البشرية بصيغ قابلة للمعالجة الحاسوبية ومنطق الاستدلال الآلي. المقرر 19 - تطبيقات وتكنولوجيا ومخططات المعرفة الاسم الإنجليزي: Technologies And Applications عدد الساعات المقترحة: 3 ساعات المحتوى: التطبيقات العملية لتكنولوجيا المعرفة في مختلف القطاعات.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 63, "language": "Arabic", "was_translated": false }, { "text": "tions عدد الساعات المقترحة: 3 ساعات المحتوى: التطبيقات العملية لتكنولوجيا المعرفة في مختلف القطاعات.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 64, "language": "Arabic", "was_translated": false }, { "text": "القسم السادس: مقررات السنة الرابعة - اللون الأحمر تُمثّل السنة الرابعة ذروة المسيرة الأكاديمية في تخصص الذكاء الاصطناعي، وتُلوَّن مقرراتها باللون الأحمر في الخطة الدراسية المعتمدة، وتُركّز هذه السنة على المجالات المتخصصة جداً والتطبيقات المتقدمة والمشاريع الإلزامية التي تُثبّت مهارات الطالب قبل التخرج.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 65, "language": "Arabic", "was_translated": false }, { "text": "المجالات المتخصصة جداً والتطبيقات المتقدمة والمشاريع الإلزامية التي تُثبّت مهارات الطالب قبل التخرج. أ - مسار معالجة اللغات الطبيعية NLP المقرر 1 - معالجة اللغات الطبيعية الاسم الإنجليزي: NLP عدد الساعات المقترحة: 3 ساعات المحتوى: فهم النص البشري، Word Embeddings، نماذج اللغة الأساسية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 66, "language": "Arabic", "was_translated": false }, { "text": ": NLP عدد الساعات المقترحة: 3 ساعات المحتوى: فهم النص البشري، Word Embeddings، نماذج اللغة الأساسية. الوصف التفصيلي: المقرر المحوري الذي يُعلِّم الطالب كيفية تمكين الحواسيب من فهم النص البشري وتوليده وترجمته، ويُغطي موضوعات مثل التحليل الصرفي والنحوي، والتحليل الدلالي، وتمثيل الكلمات بالمتجهات word embeddings، ونماذج اللغة.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 67, "language": "Arabic", "was_translated": false }, { "text": "ثل التحليل الصرفي والنحوي، والتحليل الدلالي، وتمثيل الكلمات بالمتجهات word embeddings، ونماذج اللغة. المقرر 2 - معالجة اللغات الطبيعية المتقدمة الاسم الإنجليزي: Adv NLP عدد الساعات المقترحة: 3 ساعات المحتوى: Transformer, BERT, GPT، الإجابة على الأسئلة، التلخيص الآلي، أنظمة RAG.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 68, "language": "Arabic", "was_translated": false }, { "text": "ات المقترحة: 3 ساعات المحتوى: Transformer, BERT, GPT، الإجابة على الأسئلة، التلخيص الآلي، أنظمة RAG. الوصف التفصيلي: يتعمق في أحدث أساليب معالجة اللغة الطبيعية بما يشمل نماذج المحول Transformer وبنية الانتباه Attention Mechanism ونماذج BERT وGPT وتطبيقاتها في مهام مثل الإجابة على الأسئلة والتلخيص الآلي واستخراج المعلومات وأنظمة RAG.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 69, "language": "Arabic", "was_translated": false }, { "text": "ج BERT وGPT وتطبيقاتها في مهام مثل الإجابة على الأسئلة والتلخيص الآلي واستخراج المعلومات وأنظمة RAG. المقرر 3 - هندسة اللغة العربية الاسم الإنجليزي: Arabic Eng عدد الساعات المقترحة: 3 ساعات المحتوى: تحديات اللغة العربية، الصرف والنحو، تعدد اللهجات.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 70, "language": "Arabic", "was_translated": false }, { "text": "Arabic Eng عدد الساعات المقترحة: 3 ساعات المحتوى: تحديات اللغة العربية، الصرف والنحو، تعدد اللهجات. الوصف التفصيلي: يُركّز على التحديات الخاصة بمعالجة اللغة العربية وخصائصها الصرفية والنحوية المعقدة ويُعالج إشكاليات التشكيل والاشتقاق والتصريف وتعدد اللهجات العربية وكيفية بناء نماذج NLP مخصصة للغة العربية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 71, "language": "Arabic", "was_translated": false }, { "text": "إشكاليات التشكيل والاشتقاق والتصريف وتعدد اللهجات العربية وكيفية بناء نماذج NLP مخصصة للغة العربية. ب - مسار معالجة الكلام والصوت المقرر 4 - معالجة الكلام الرقمي الاسم الإنجليزي: Speech Process عدد الساعات المقترحة: 3 ساعات المحتوى: التعرف على الكلام، توليد الصوت الاصطناعي، تحليل الإشارات الصوتية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 72, "language": "Arabic", "was_translated": false }, { "text": "الساعات المقترحة: 3 ساعات المحتوى: التعرف على الكلام، توليد الصوت الاصطناعي، تحليل الإشارات الصوتية. الوصف التفصيلي: يُعلِّم تقنيات التعرف على الكلام وتوليد الصوت الاصطناعي وتحليل الإشارات الصوتية، وهو ضروري لبناء المساعدين الصوتيين وأنظمة التحويل من نص إلى كلام والعكس.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 73, "language": "Arabic", "was_translated": false }, { "text": "عي وتحليل الإشارات الصوتية، وهو ضروري لبناء المساعدين الصوتيين وأنظمة التحويل من نص إلى كلام والعكس. ج - مسار الروبوتات والأنظمة الذكية المدمجة المقرر 5 - الروبوتات الذكية الاسم الإنجليزي: Robotics عدد الساعات المقترحة: 3 ساعات المحتوى: تصميم وبرمجة الروبوتات المستقلة.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 74, "language": "Arabic", "was_translated": false }, { "text": "ية الاسم الإنجليزي: Robotics عدد الساعات المقترحة: 3 ساعات المحتوى: تصميم وبرمجة الروبوتات المستقلة. الوصف التفصيلي: يُدمج مبادئ الميكانيكا وعلم الحاسوب والذكاء الاصطناعي لتصميم وبرمجة الروبوتات المستقلة القادرة على التفاعل مع بيئتها.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 75, "language": "Arabic", "was_translated": false }, { "text": "انيكا وعلم الحاسوب والذكاء الاصطناعي لتصميم وبرمجة الروبوتات المستقلة القادرة على التفاعل مع بيئتها. المقرر 6 - الأنظمة المدمجة المتقدمة الاسم الإنجليزي: Adv Embedded عدد الساعات المقترحة: 3 ساعات المحتوى: أنظمة حاسوبية عالية الأداء مع دمج خوارزميات ذكاء اصطناعي متقدمة.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 76, "language": "Arabic", "was_translated": false }, { "text": "الساعات المقترحة: 3 ساعات المحتوى: أنظمة حاسوبية عالية الأداء مع دمج خوارزميات ذكاء اصطناعي متقدمة. الوصف التفصيلي: امتداد لمقرر الأنظمة المدمجة يتناول تصميم الأنظمة الحاسوبية عالية الأداء ومحدودة الموارد مع دمج خوارزميات ذكاء اصطناعي متقدمة. المقرر 7 - العملاء الذكيون الاسم الإنجليزي: Intelligent Agents عدد الساعات المقترحة: 3 ساعات المحتوى: تصميم الوكلاء ذاتيي القرار في البيئات الديناميكية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 77, "language": "Arabic", "was_translated": false }, { "text": "ent Agents عدد الساعات المقترحة: 3 ساعات المحتوى: تصميم الوكلاء ذاتيي القرار في البيئات الديناميكية. الوصف التفصيلي: يُغطي نظرية الوكلاء الذكيين وكيفية تصميم أنظمة ذاتية القرار تعمل في بيئات ديناميكية ومعقدة.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 78, "language": "Arabic", "was_translated": false }, { "text": "لتفصيلي: يُغطي نظرية الوكلاء الذكيين وكيفية تصميم أنظمة ذاتية القرار تعمل في بيئات ديناميكية ومعقدة. د - مسار التعلم المعزز والأنظمة المستقلة المقرر 8 - التعلم المعزز الاسم الإنجليزي: Reinforcement Learning عدد الساعات المقترحة: 3 ساعات المحتوى: تدريب الوكلاء بالمكافآت والعقوبات، Q-Learning، PPO.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 79, "language": "Arabic", "was_translated": false }, { "text": "Learning عدد الساعات المقترحة: 3 ساعات المحتوى: تدريب الوكلاء بالمكافآت والعقوبات، Q-Learning، PPO. الوصف التفصيلي: يُعلِّم الطالب كيفية تدريب الوكلاء الذكيين من خلال التفاعل مع البيئة والمكافآت والعقوبات، وهو الأساس التقني الذي تقوم عليه ألعاب الحاسوب الذكية والسيارات ذاتية القيادة.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 80, "language": "Arabic", "was_translated": false }, { "text": "والمكافآت والعقوبات، وهو الأساس التقني الذي تقوم عليه ألعاب الحاسوب الذكية والسيارات ذاتية القيادة. المقرر 9 - ذكاء الألعاب الحاسوبية الاسم الإنجليزي: Game AI عدد الساعات المقترحة: 3 ساعات المحتوى: خوارزميات البحث في الفضاء الحالي، التعلم المعزز العميق في الألعاب.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 81, "language": "Arabic", "was_translated": false }, { "text": "لساعات المقترحة: 3 ساعات المحتوى: خوارزميات البحث في الفضاء الحالي، التعلم المعزز العميق في الألعاب. الوصف التفصيلي: يُركّز على تطبيقات الذكاء الاصطناعي في بيئات الألعاب الحاسوبية بما يشمل خوارزميات البحث في الفضاء الحالي وتطبيقات التعلم المعزز العميق.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 82, "language": "Arabic", "was_translated": false }, { "text": "في بيئات الألعاب الحاسوبية بما يشمل خوارزميات البحث في الفضاء الحالي وتطبيقات التعلم المعزز العميق. المقرر 10 - الأنظمة المتكيفة الاسم الإنجليزي: Adaptive Systems عدد الساعات المقترحة: 3 ساعات المحتوى: بناء أنظمة تتكيف تلقائياً مع التغيرات دون إعادة برمجة يدوية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 83, "language": "Arabic", "was_translated": false }, { "text": "عدد الساعات المقترحة: 3 ساعات المحتوى: بناء أنظمة تتكيف تلقائياً مع التغيرات دون إعادة برمجة يدوية. هـ - مسار تفاعل الإنسان والحاسوب والويب المقرر 11 - تطوير تطبيقات الويب الاسم الإنجليزي: Web عدد الساعات المقترحة: 3 ساعات المحتوى: واجهات برمجة التطبيقات، تطبيقات الويب لخدمات الذكاء الاصطناعي.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 84, "language": "Arabic", "was_translated": false }, { "text": "دد الساعات المقترحة: 3 ساعات المحتوى: واجهات برمجة التطبيقات، تطبيقات الويب لخدمات الذكاء الاصطناعي. الوصف التفصيلي: يُركّز على بناء واجهات برمجة التطبيقات وتطبيقات الويب التي تُوفّر خدمات الذكاء الاصطناعي للمستخدمين النهائيين. المقرر 12 - تفاعل الإنسان مع الحاسوب الاسم الإنجليزي: HCI عدد الساعات المقترحة: 3 ساعات المحتوى: تصميم واجهات المستخدم، تجربة المستخدم لتطبيقات الذكاء الاصطناعي.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 85, "language": "Arabic", "was_translated": false }, { "text": "الساعات المقترحة: 3 ساعات المحتوى: تصميم واجهات المستخدم، تجربة المستخدم لتطبيقات الذكاء الاصطناعي. الوصف التفصيلي: يُدرس علوم تصميم الواجهات البشرية الحاسوبية وكيفية بناء تجارب مستخدم بديهية وفعالة لتطبيقات الذكاء الاصطناعي.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 86, "language": "Arabic", "was_translated": false }, { "text": "م تصميم الواجهات البشرية الحاسوبية وكيفية بناء تجارب مستخدم بديهية وفعالة لتطبيقات الذكاء الاصطناعي. و - مسار الشبكات الاجتماعية والمشكلات الحسابية المقرر 13 - تحليل الشبكات الاجتماعية الاسم الإنجليزي: Social Net عدد الساعات المقترحة: 3 ساعات المحتوى: استخراج المعرفة من شبكات التواصل الاجتماعي وتحليل مخططات الشبكات الضخمة.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 87, "language": "Arabic", "was_translated": false }, { "text": "المقترحة: 3 ساعات المحتوى: استخراج المعرفة من شبكات التواصل الاجتماعي وتحليل مخططات الشبكات الضخمة. المقرر 14 - المشكلات والتقنيات الحسابية الاسم الإنجليزي: Computational Problems عدد الساعات المقترحة: 3 ساعات المحتوى: طيف واسع من مسائل الحوسبة الصعبة وكيفية التعامل معها.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 88, "language": "Arabic", "was_translated": false }, { "text": "roblems عدد الساعات المقترحة: 3 ساعات المحتوى: طيف واسع من مسائل الحوسبة الصعبة وكيفية التعامل معها. ز - مسار الأمن الذكي المقرر 15 - ذكاء الأمن الإلكتروني الاسم الإنجليزي: Security Intelligence عدد الساعات المقترحة: 3 ساعات المحتوى: الذكاء الاصطناعي في الأمن السيبراني، كشف الهجمات وتحليل التهديدات الرقمية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 89, "language": "Arabic", "was_translated": false }, { "text": "لمقترحة: 3 ساعات المحتوى: الذكاء الاصطناعي في الأمن السيبراني، كشف الهجمات وتحليل التهديدات الرقمية. الوصف التفصيلي: يُدمج تقنيات الذكاء الاصطناعي في مجال الأمن السيبراني لاكتشاف الهجمات وتحليل التهديدات الرقمية والاستجابة الذكية لها.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 90, "language": "Arabic", "was_translated": false }, { "text": "اء الاصطناعي في مجال الأمن السيبراني لاكتشاف الهجمات وتحليل التهديدات الرقمية والاستجابة الذكية لها. ح - مسار علم الإدراك والوسائط المتعددة الذكية المقرر 16 - الإدراك الاسم الإنجليزي: Cognitive عدد الساعات المقترحة: 3 ساعات المحتوى: العلاقة بين الذكاء الاصطناعي وعلوم الإدراك البشري. الوصف التفصيلي: يستكشف العلاقة بين الذكاء الاصطناعي وعلوم الإدراك البشري والأسس الفلسفية لمحاكاة التفكير البشري.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 91, "language": "Arabic", "was_translated": false }, { "text": "لي: يستكشف العلاقة بين الذكاء الاصطناعي وعلوم الإدراك البشري والأسس الفلسفية لمحاكاة التفكير البشري. المقرر 17 - الأنظمة الذكية للوسائط المتعددة الاسم الإنجليزي: Multimedia Intelligent عدد الساعات المقترحة: 3 ساعات المحتوى: معالجة وتحليل وتوليد المحتوى الرقمي المتعدد الوسائط باستخدام الذكاء الاصطناعي.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 92, "language": "Arabic", "was_translated": false }, { "text": "رحة: 3 ساعات المحتوى: معالجة وتحليل وتوليد المحتوى الرقمي المتعدد الوسائط باستخدام الذكاء الاصطناعي. المقرر 18 - تفاعل الدماغ مع الحاسوب الاسم الإنجليزي: Brain-Computer Interaction عدد الساعات المقترحة: 3 ساعات المحتوى: الواجهات العصبية الحاسوبية وكيفية تمكين التواصل المباشر بين الدماغ البشري والحواسيب.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 93, "language": "Arabic", "was_translated": false }, { "text": "ساعات المحتوى: الواجهات العصبية الحاسوبية وكيفية تمكين التواصل المباشر بين الدماغ البشري والحواسيب. القسم السابع: المقررات الاختيارية - اللون البرتقالي الفاتح تُشير المقررات ذات اللون البرتقالي الفاتح في الخطة الدراسية إلى المقررات الاختيارية التي يمكن للطالب الاختيار من بينها لاستكمال ساعاته الدراسية التخصصية وفق ميوله الأكاديمية وتوجهاته المهنية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 94, "language": "Arabic", "was_translated": false }, { "text": "كن للطالب الاختيار من بينها لاستكمال ساعاته الدراسية التخصصية وفق ميوله الأكاديمية وتوجهاته المهنية. المقرر الاختياري 1 - الإحصاء التطبيقي الاسم الإنجليزي: Applied Statistics النوع: اختياري الوصف: يُغطي تقنيات الإحصاء الاستدلالي والتطبيقي المتقدمة وتطبيقاتها في تحليل بيانات مشاريع الذكاء الاصطناعي.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 95, "language": "Arabic", "was_translated": false }, { "text": "غطي تقنيات الإحصاء الاستدلالي والتطبيقي المتقدمة وتطبيقاتها في تحليل بيانات مشاريع الذكاء الاصطناعي. المقرر الاختياري 2 - هندسة البرمجيات للذكاء الاصطناعي الاسم الإنجليزي: Software-AI النوع: اختياري الوصف: يُركّز على المنهجيات والأطر البرمجية المتخصصة في تطوير تطبيقات الذكاء الاصطناعي على نطاق واسع.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 96, "language": "Arabic", "was_translated": false }, { "text": "لوصف: يُركّز على المنهجيات والأطر البرمجية المتخصصة في تطوير تطبيقات الذكاء الاصطناعي على نطاق واسع. المقرر الاختياري 3 - أخلاقيات الذكاء الاصطناعي وعلم البيانات الاسم الإنجليزي: Ethics AI and DS النوع: اختياري الوصف: يُعالج التساؤلات الأخلاقية والاجتماعية المرتبطة باستخدام الذكاء الاصطناعي كالتحيز في النماذج والشفافية والمساءلة والخصوصية والاستخدام المسؤول.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 97, "language": "Arabic", "was_translated": false }, { "text": "رتبطة باستخدام الذكاء الاصطناعي كالتحيز في النماذج والشفافية والمساءلة والخصوصية والاستخدام المسؤول. المقرر الاختياري 4 - ندوة صناعة البرمجيات الاسم الإنجليزي: Seminar النوع: اختياري الوصف: مقرر ندوي يُربط الطالب بسوق العمل والشركات التقنية ويُعرّفه على مسارات العمل في صناعة البرمجيات وتطبيقات الذكاء الاصطناعي.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 98, "language": "Arabic", "was_translated": false }, { "text": "بسوق العمل والشركات التقنية ويُعرّفه على مسارات العمل في صناعة البرمجيات وتطبيقات الذكاء الاصطناعي. القسم الثامن: متطلبات التخرج - المشاريع والإعداد الوظيفي تُعدّ مرحلة المشاريع والإعداد الوظيفي من أهم متطلبات اجتياز خمسة وأربعين ساعة بنجاح ثم تسعين ساعة بنجاح لاستيفاء متطلبات التخرج من تخصص الذكاء الاصطناعي في الجامعة الأردنية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 99, "language": "Arabic", "was_translated": false }, { "text": "ساعة بنجاح ثم تسعين ساعة بنجاح لاستيفاء متطلبات التخرج من تخصص الذكاء الاصطناعي في الجامعة الأردنية. المتطلب 1 - مشروع التخرج الأول رقم المقرر: 1931496 النوع: إلزامي الوصف: المشروع الأكاديمي التطبيقي الأول الذي يُنفّذه الطالب تحت إشراف أكاديمي متخصص ويُجسّد فيه مهارات وخبرات اكتسبها خلال مسيرته الدراسية في حل مشكلة حقيقية أو بناء نظام ذكاء اصطناعي كامل.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 100, "language": "Arabic", "was_translated": false }, { "text": "ّد فيه مهارات وخبرات اكتسبها خلال مسيرته الدراسية في حل مشكلة حقيقية أو بناء نظام ذكاء اصطناعي كامل. المتطلب 2 - مشروع التخرج الثاني رقم المقرر: 1931497 النوع: إلزامي الوصف: المرحلة الثانية والتكميلية من مشروع التخرج التي تتضمن تطوير المنتج وإتمام التنفيذ والاختبار والتوثيق الكاملين.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 101, "language": "Arabic", "was_translated": false }, { "text": "ثانية والتكميلية من مشروع التخرج التي تتضمن تطوير المنتج وإتمام التنفيذ والاختبار والتوثيق الكاملين. المتطلب 3 - التدريب العملي الميداني رقم المقرر: 1931497 النوع: إلزامي الوصف: فترة تدريب ميداني إلزامية يقضيها الطالب في شركة أو مؤسسة تقنية متخصصة يُطبّق فيها معارفه ومهاراته في بيئة عمل حقيقية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 102, "language": "Arabic", "was_translated": false }, { "text": "إلزامية يقضيها الطالب في شركة أو مؤسسة تقنية متخصصة يُطبّق فيها معارفه ومهاراته في بيئة عمل حقيقية. المتطلب 4 - الإعداد الوظيفي رقم المقرر: 1931498 النوع: إلزامي الوصف: مقرر يُجهِّز الطالب للانتقال من الحياة الأكاديمية إلى سوق العمل من خلال تطوير مهارات كتابة السيرة الذاتية وتحضير المقابلات الوظيفية وبناء الشبكة المهنية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 103, "language": "Arabic", "was_translated": false }, { "text": "سوق العمل من خلال تطوير مهارات كتابة السيرة الذاتية وتحضير المقابلات الوظيفية وبناء الشبكة المهنية. المتطلب 5 - موضوعات خاصة الاسم الإنجليزي: Special Topics رقم المقرر: 1931499 النوع: اختياري الوصف: مقرر متغير المحتوى يُغطي أحدث التطورات والاتجاهات في مجال الذكاء الاصطناعي التي قد لا تكون بعدُ ضمن المقررات الرسمية الثابتة.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 104, "language": "Arabic", "was_translated": false }, { "text": "أحدث التطورات والاتجاهات في مجال الذكاء الاصطناعي التي قد لا تكون بعدُ ضمن المقررات الرسمية الثابتة.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 105, "language": "Arabic", "was_translated": false }, { "text": "القسم التاسع: الجداول الدراسية المقترحة لكل فصل دراسي استناداً إلى الخطة الدراسية الرسمية لتخصص الذكاء الاصطناعي في الجامعة الأردنية وبعد تحليل المتطلبات السابقة لكل مقرر وعلاقات الترابط بينها، يُقترح الجدول الدراسي التالي للطالب الذي يسعى إلى إتمام التخصص في ثمانية فصول دراسية نظامية موزعة على أربع سنوات.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 106, "language": "Arabic", "was_translated": false }, { "text": "الدراسي التالي للطالب الذي يسعى إلى إتمام التخصص في ثمانية فصول دراسية نظامية موزعة على أربع سنوات. الفصل الأول - السنة الأولى (Year 1 - Semester 1) يُركّز الفصل الأول على المتطلبات التمهيدية الأساسية التي تُمهّد الطريق للمقررات التخصصية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 107, "language": "Arabic", "was_translated": false }, { "text": "emester 1) يُركّز الفصل الأول على المتطلبات التمهيدية الأساسية التي تُمهّد الطريق للمقررات التخصصية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 108, "language": "Arabic", "was_translated": false }, { "text": "المقرر 1: CS99 - أساسيات الحاسوب الساعات: 3 المستوى: تمهيدي المقرر 2: Intro C++ - مقدمة في البرمجة C++ الساعات: 3 المستوى: تمهيدي المقرر 3: Calculus 1 - تفاضل وتكامل 1 الساعات: 3 المستوى: تمهيدي المقرر 4: fund - أساسيات تكنولوجيا المعلومات الساعات: 3 المستوى: تمهيدي المقرر 5: Discrete - رياضيات منفصلة الساعات: 3 المستوى: تمهيدي المجموع الكلي للفصل الأول: 15 ساعة معتمدة المجموع التراكمي: 15 ساعة", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 109, "language": "Arabic", "was_translated": false }, { "text": "نفصلة الساعات: 3 المستوى: تمهيدي المجموع الكلي للفصل الأول: 15 ساعة معتمدة المجموع التراكمي: 15 ساعة الفصل الثاني - السنة الأولى (Year 1 - Semester 2) يُركّز الفصل الثاني على استكمال المتطلبات الأساسية وبدء الدخول في المقررات التخصصية الأولى.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 110, "language": "Arabic", "was_translated": false }, { "text": "ester 2) يُركّز الفصل الثاني على استكمال المتطلبات الأساسية وبدء الدخول في المقررات التخصصية الأولى.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 111, "language": "Arabic", "was_translated": false }, { "text": "المقرر 1: Linear Algebra - الجبر الخطي لعلوم الحوسبة الساعات: 3 المستوى: تمهيدي المقرر 2: OOP - البرمجة كائنية التوجه الساعات: 3 المستوى: سنة أولى المقرر 3: Info to AI - مقدمة في الذكاء الاصطناعي الساعات: 3 المستوى: سنة أولى المقرر 4: Data Structures - تراكيب البيانات الساعات: 3 المستوى: سنة أولى المقرر 5: Statistics - مبادئ الإحصاء الساعات: 3 المستوى: سنة أولى المجموع الكلي للفصل الثاني: 15", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 112, "language": "Arabic", "was_translated": false }, { "text": "ولى المقرر 5: Statistics - مبادئ الإحصاء الساعات: 3 المستوى: سنة أولى المجموع الكلي للفصل الثاني: 15 ساعة معتمدة المجموع التراكمي: 30 ساعة الفصل الثالث - السنة الثانية (Year 2 - Semester 1) يبدأ الطالب في هذا الفصل التعمق في المقررات التقنية المتخصصة التي تُشكّل البنية التحتية لمهاراته في الذكاء الاصطناعي.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 113, "language": "Arabic", "was_translated": false }, { "text": "ا الفصل التعمق في المقررات التقنية المتخصصة التي تُشكّل البنية التحتية لمهاراته في الذكاء الاصطناعي.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 114, "language": "Arabic", "was_translated": false }, { "text": "المقرر 1: Networks - شبكات الحاسوب الساعات: 3 المستوى: سنة أولى / ثانية المقرر 2: AI-Prog - برمجة الذكاء الاصطناعي الساعات: 3 المستوى: سنة ثانية المقرر 3: DataBase - أنظمة إدارة قواعد البيانات الساعات: 3 المستوى: سنة ثانية المقرر 4: Algo - نظرية الخوارزميات الساعات: 3 المستوى: سنة ثانية المقرر 5: AI - الذكاء الاصطناعي الساعات: 3 المستوى: سنة ثانية المجموع الكلي للفصل الثالث: 15 ساعة معتمدة", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 115, "language": "Arabic", "was_translated": false }, { "text": "رر 5: AI - الذكاء الاصطناعي الساعات: 3 المستوى: سنة ثانية المجموع الكلي للفصل الثالث: 15 ساعة معتمدة المجموع التراكمي: 45 ساعة - الحد الأدنى المطلوب للمرحلة الأولى الفصل الرابع - السنة الثانية (Year 2 - Semester 2) يستكمل الطالب في هذا الفصل مقررات السنة الثانية الأساسية ويبدأ التعرف على التخصصات الفرعية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 116, "language": "Arabic", "was_translated": false }, { "text": "ester 2) يستكمل الطالب في هذا الفصل مقررات السنة الثانية الأساسية ويبدأ التعرف على التخصصات الفرعية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 117, "language": "Arabic", "was_translated": false }, { "text": "المقرر 1: Adv AI-Prog - برمجة الذكاء الاصطناعي المتقدمة الساعات: 3 المستوى: سنة ثانية المقرر 2: Info Security - أمن وخصوصية المعلومات الساعات: 3 المستوى: سنة ثانية المقرر 3: Software - هندسة البرمجيات الساعات: 3 المستوى: سنة ثانية المقرر 4: Data Mining - التنقيب في البيانات الساعات: 3 المستوى: سنة ثانية المقرر 5: Cloud Computing - الحوسبة السحابية الساعات: 3 المستوى: سنة ثانية المجموع الكلي", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 118, "language": "Arabic", "was_translated": false }, { "text": ": سنة ثانية المقرر 5: Cloud Computing - الحوسبة السحابية الساعات: 3 المستوى: سنة ثانية المجموع الكلي للفصل الرابع: 15 ساعة معتمدة المجموع التراكمي: 60 ساعة الفصل الخامس - السنة الثالثة (Year 3 - Semester 1) تبدأ في هذا الفصل مرحلة التخصص العميق حيث يدرس الطالب المقررات الفرعية المتخصصة في التعلم الآلي والبيانات والأنظمة.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 119, "language": "Arabic", "was_translated": false }, { "text": "صل مرحلة التخصص العميق حيث يدرس الطالب المقررات الفرعية المتخصصة في التعلم الآلي والبيانات والأنظمة.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 120, "language": "Arabic", "was_translated": false }, { "text": "المقرر 1: ML - التعلم الآلي والشبكات العصبونية الساعات: 3 المستوى: سنة ثالثة المقرر 2: Computer Vision - الرؤية الحاسوبية الساعات: 3 المستوى: سنة ثالثة المقرر 3: Big Data - البيانات الضخمة الساعات: 3 المستوى: سنة ثالثة المقرر 4: Embedded System - الأنظمة المدمجة الساعات: 3 المستوى: سنة ثالثة المقرر 5: KRR - تمثيل واستدلال المعرفة الساعات: 3 المستوى: سنة ثالثة المجموع الكلي للفصل الخامس: 15 ساعة", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 121, "language": "Arabic", "was_translated": false }, { "text": "رر 5: KRR - تمثيل واستدلال المعرفة الساعات: 3 المستوى: سنة ثالثة المجموع الكلي للفصل الخامس: 15 ساعة معتمدة المجموع التراكمي: 75 ساعة الفصل السادس - السنة الثالثة (Year 3 - Semester 2) يستكمل الطالب في هذا الفصل مقررات السنة الثالثة ويبدأ التحضير للمشاريع التخرجية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 122, "language": "Arabic", "was_translated": false }, { "text": "ear 3 - Semester 2) يستكمل الطالب في هذا الفصل مقررات السنة الثالثة ويبدأ التحضير للمشاريع التخرجية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 123, "language": "Arabic", "was_translated": false }, { "text": "المقرر 1: Deep Learning - التعلم العميق الساعات: 3 المستوى: سنة ثالثة المقرر 2: Data Visualization - التمثيل المرئي للبيانات الساعات: 3 المستوى: سنة ثالثة المقرر 3: IOT - إنترنت الأشياء الساعات: 3 المستوى: سنة ثالثة المقرر 4: Ontologies - الأنطولوجيا ومخططات المعرفة الساعات: 3 المستوى: سنة ثالثة المقرر 5: Pattern & Analysis - تمييز الأنماط وتحليل المعلومات الساعات: 3 المستوى: سنة ثالثة المجموع", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 124, "language": "Arabic", "was_translated": false }, { "text": "المقرر 5: Pattern & Analysis - تمييز الأنماط وتحليل المعلومات الساعات: 3 المستوى: سنة ثالثة المجموع الكلي للفصل السادس: 15 ساعة معتمدة المجموع التراكمي: 90 ساعة - الحد المطلوب لاجتياز متطلب التسعين ساعة الفصل السابع - السنة الرابعة (Year 4 - Semester 1) يبدأ الطالب في هذا الفصل المقررات المتخصصة الأعمق وينجز المشروع الأول وأحد المقررات الاختيارية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 125, "language": "Arabic", "was_translated": false }, { "text": "r 1) يبدأ الطالب في هذا الفصل المقررات المتخصصة الأعمق وينجز المشروع الأول وأحد المقررات الاختيارية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 126, "language": "Arabic", "was_translated": false }, { "text": "المقرر 1: NLP - معالجة اللغات الطبيعية الساعات: 3 المستوى: سنة رابعة المقرر 2: Reinforcement Learning - التعلم المعزز الساعات: 3 المستوى: سنة رابعة المقرر 3: Robotics - الروبوتات الذكية الساعات: 3 المستوى: سنة رابعة المقرر 4: Ethics AI & DS - أخلاقيات الذكاء الاصطناعي وعلم البيانات الساعات: 3 المستوى: اختياري المقرر 5: مشروع التخرج الأول رقم 1931496 الساعات: 3 المستوى: إلزامي المجموع الكلي للفصل", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 127, "language": "Arabic", "was_translated": false }, { "text": "توى: اختياري المقرر 5: مشروع التخرج الأول رقم 1931496 الساعات: 3 المستوى: إلزامي المجموع الكلي للفصل السابع: 15 ساعة معتمدة المجموع التراكمي: 105 ساعة الفصل الثامن - السنة الرابعة (Year 4 - Semester 2) يختتم الطالب مسيرته الأكاديمية في هذا الفصل بإنجاز المشروع الثاني واستكمال مقررات السنة الرابعة المتبقية والتدريب الميداني.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 128, "language": "Arabic", "was_translated": false }, { "text": "كاديمية في هذا الفصل بإنجاز المشروع الثاني واستكمال مقررات السنة الرابعة المتبقية والتدريب الميداني.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 129, "language": "Arabic", "was_translated": false }, { "text": "المقرر 1: Adv NLP - معالجة اللغات الطبيعية المتقدمة الساعات: 3 المستوى: سنة رابعة المقرر 2: HCI - تفاعل الإنسان مع الحاسوب الساعات: 3 المستوى: سنة رابعة المقرر 3: Security Intelligence - ذكاء الأمن الإلكتروني الساعات: 3 المستوى: سنة رابعة المقرر 4: تدريب ميداني رقم 1931497 الساعات: 3 المستوى: إلزامي المقرر 5: مشروع التخرج الثاني رقم 1931497 الساعات: 3 المستوى: إلزامي المقرر 6: الإعداد الوظيفي", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 130, "language": "Arabic", "was_translated": false }, { "text": "لزامي المقرر 5: مشروع التخرج الثاني رقم 1931497 الساعات: 3 المستوى: إلزامي المقرر 6: الإعداد الوظيفي رقم 1931498 الساعات: 3 المستوى: إلزامي المجموع الكلي للفصل الثامن: 18 ساعة معتمدة المجموع التراكمي النهائي: 123 ساعة - اكتمال جميع متطلبات التخرج القسم العاشر: أسئلة وأجوبة متوقعة لنظام RAG - بوت المساعدة الطلابية يحتوي هذا القسم على أسئلة متوقعة بصيغة نصية مطولة مناسبة لنظام الاسترجاع المعزز", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 131, "language": "Arabic", "was_translated": false }, { "text": "وت المساعدة الطلابية يحتوي هذا القسم على أسئلة متوقعة بصيغة نصية مطولة مناسبة لنظام الاسترجاع المعزز بالتوليد RAG، وذلك لتيسير عملية استرجاع المعلومات الدقيقة والإجابة على استفسارات طلاب تخصص الذكاء الاصطناعي في الجامعة الأردنية. السؤال 1: ما هي المقررات التي يجب أن أدرسها في السنة الأولى من تخصص الذكاء الاصطناعي في الجامعة الأردنية؟", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 132, "language": "Arabic", "was_translated": false }, { "text": "ل 1: ما هي المقررات التي يجب أن أدرسها في السنة الأولى من تخصص الذكاء الاصطناعي في الجامعة الأردنية؟ الجواب: في السنة الأولى من تخصص الذكاء الاصطناعي في الجامعة الأردنية، يدرس الطالب في الفصل الأول المقررات التمهيدية التالية: أساسيات الحاسوب CS99 ومقدمة في البرمجة بلغة C++ وتفاضل وتكامل 1 وأساسيات تكنولوجيا المعلومات fund ورياضيات منفصلة Discrete.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 133, "language": "Arabic", "was_translated": false }, { "text": "قدمة في البرمجة بلغة C++ وتفاضل وتكامل 1 وأساسيات تكنولوجيا المعلومات fund ورياضيات منفصلة Discrete. أما الفصل الثاني من السنة الأولى فيشمل: الجبر الخطي لعلوم الحوسبة Linear Algebra والبرمجة كائنية التوجه OOP ومقدمة في الذكاء الاصطناعي Info to AI وتراكيب البيانات Data Structures ومبادئ الإحصاء Statistics. السؤال 2: ما هو مقرر NLP في الجامعة الأردنية وما الذي يدرسه الطالب فيه؟", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 134, "language": "Arabic", "was_translated": false }, { "text": "s ومبادئ الإحصاء Statistics. السؤال 2: ما هو مقرر NLP في الجامعة الأردنية وما الذي يدرسه الطالب فيه؟", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 135, "language": "Arabic", "was_translated": false }, { "text": "الجواب: مقرر NLP أو معالجة اللغات الطبيعية في الجامعة الأردنية هو مقرر من مقررات السنة الرابعة في تخصص الذكاء الاصطناعي، ويُعلِّم هذا المقرر الطالب كيفية تمكين الحواسيب من فهم النص البشري وتوليده وترجمته، ويُغطي محتواه موضوعات مثل التحليل الصرفي والنحوي والتحليل الدلالي وتمثيل الكلمات بالمتجهات word embeddings ونماذج اللغة الأساسية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 136, "language": "Arabic", "was_translated": false }, { "text": "حليل الصرفي والنحوي والتحليل الدلالي وتمثيل الكلمات بالمتجهات word embeddings ونماذج اللغة الأساسية. ويوجد في التخصص كذلك مقرر Adv NLP أي معالجة اللغات الطبيعية المتقدمة الذي يتعمق في بنية المحول Transformer وآلية الانتباه Attention Mechanism ونماذج BERT وGPT وتطبيقاتها في الإجابة على الأسئلة والتلخيص الآلي واستخراج المعلومات وأنظمة RAG.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 137, "language": "Arabic", "was_translated": false }, { "text": "ism ونماذج BERT وGPT وتطبيقاتها في الإجابة على الأسئلة والتلخيص الآلي واستخراج المعلومات وأنظمة RAG. السؤال 3: كم ساعة يحتاج الطالب لإتمام تخصص الذكاء الاصطناعي في الجامعة الأردنية؟ الجواب: يحتاج طالب تخصص الذكاء الاصطناعي في الجامعة الأردنية إلى اجتياز ما لا يقل عن خمسة وأربعين ساعة معتمدة بنجاح كمرحلة أولى، ثم إتمام تسعين ساعة معتمدة إجمالاً كمتطلب للتخرج.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 138, "language": "Arabic", "was_translated": false }, { "text": "يقل عن خمسة وأربعين ساعة معتمدة بنجاح كمرحلة أولى، ثم إتمام تسعين ساعة معتمدة إجمالاً كمتطلب للتخرج. وتشمل هذه الساعات جميع المقررات الإلزامية من المتطلبات التمهيدية ومقررات السنوات الأربع إضافةً إلى مشروع التخرج والتدريب الميداني والإعداد الوظيفي. السؤال 4: ما الفرق بين مقرر Deep Learning ومقرر ML في تخصص الذكاء الاصطناعي بالجامعة الأردنية؟", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 139, "language": "Arabic", "was_translated": false }, { "text": "ظيفي. السؤال 4: ما الفرق بين مقرر Deep Learning ومقرر ML في تخصص الذكاء الاصطناعي بالجامعة الأردنية؟ الجواب: في تخصص الذكاء الاصطناعي بالجامعة الأردنية، مقرر ML أو التعلم الآلي والشبكات العصبونية هو مقرر السنة الثالثة الذي يُغطي خوارزميات التعلم الخاضع للإشراف كالانحدار والتصنيف والأشجار، وخوارزميات التعلم غير الخاضع للإشراف كالتجميع، إضافةً إلى المفاهيم الأساسية للشبكات العصبونية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 140, "language": "Arabic", "was_translated": false }, { "text": "شجار، وخوارزميات التعلم غير الخاضع للإشراف كالتجميع، إضافةً إلى المفاهيم الأساسية للشبكات العصبونية. أما مقرر Deep Learning أو التعلم العميق فهو أيضاً مقرر السنة الثالثة لكنه أعمق وأكثر تخصصاً إذ يتناول بنى الشبكات العصبونية العميقة كالشبكات التلافيفية CNN والشبكات التكرارية RNN ومحولات البيانات Transformers التي تُشكّل أساس نماذج اللغة الكبيرة.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 141, "language": "Arabic", "was_translated": false }, { "text": "فيفية CNN والشبكات التكرارية RNN ومحولات البيانات Transformers التي تُشكّل أساس نماذج اللغة الكبيرة. السؤال 5: ما هي المقررات المتعلقة باللغة العربية في تخصص الذكاء الاصطناعي بالجامعة الأردنية؟", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 142, "language": "Arabic", "was_translated": false }, { "text": "لكبيرة. السؤال 5: ما هي المقررات المتعلقة باللغة العربية في تخصص الذكاء الاصطناعي بالجامعة الأردنية؟", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 143, "language": "Arabic", "was_translated": false }, { "text": "الجواب: يتضمن تخصص الذكاء الاصطناعي في الجامعة الأردنية مقرراً متخصصاً يُعنى باللغة العربية هو مقرر هندسة اللغة العربية المعروف بـ Arabic Eng وهو مقرر من مقررات السنة الرابعة، ويُركّز هذا المقرر على التحديات الخاصة بمعالجة اللغة العربية آلياً وخصائصها الصرفية والنحوية المعقدة ويُعالج إشكاليات التشكيل والاشتقاق والتصريف وتعدد اللهجات العربية وكيفية بناء نماذج NLP مخصصة للغة العربية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 144, "language": "Arabic", "was_translated": false }, { "text": "إشكاليات التشكيل والاشتقاق والتصريف وتعدد اللهجات العربية وكيفية بناء نماذج NLP مخصصة للغة العربية. السؤال 6: ما هي متطلبات مشروع التخرج في تخصص الذكاء الاصطناعي في الجامعة الأردنية؟ الجواب: يتكون مشروع التخرج في تخصص الذكاء الاصطناعي بالجامعة الأردنية من مقررين متسلسلين هما مشروع 1 برقم 1931496 ومشروع 2 برقم 1931497، ويُنجزهما الطالب في السنة الرابعة تحت إشراف أكاديمي متخصص.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 145, "language": "Arabic", "was_translated": false }, { "text": "روع 1 برقم 1931496 ومشروع 2 برقم 1931497، ويُنجزهما الطالب في السنة الرابعة تحت إشراف أكاديمي متخصص. يُجسّد الطالب في هذين المشروعين مهاراته وخبراته في حل مشكلة حقيقية أو بناء نظام ذكاء اصطناعي متكامل. إضافةً إلى ذلك، يُطلب من الطالب إتمام فترة تدريب ميداني إلزامي برقم 1931497 في شركة أو مؤسسة تقنية، وإتمام مقرر الإعداد الوظيفي برقم 1931498 الذي يُجهّزه لسوق العمل.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 146, "language": "Arabic", "was_translated": false }, { "text": "قم 1931497 في شركة أو مؤسسة تقنية، وإتمام مقرر الإعداد الوظيفي برقم 1931498 الذي يُجهّزه لسوق العمل. القسم الحادي عشر: علاقات الترابط بين المقررات والمتطلبات السابقة يُعدّ فهم العلاقات التسلسلية بين المقررات أمراً جوهرياً لتخطيط الجدول الدراسي الأمثل.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 147, "language": "Arabic", "was_translated": false }, { "text": "تطلبات السابقة يُعدّ فهم العلاقات التسلسلية بين المقررات أمراً جوهرياً لتخطيط الجدول الدراسي الأمثل. الترابط 1: OOP يسبقه Intro C++ مقرر البرمجة كائنية التوجه OOP يسبقه مقرر مقدمة في البرمجة C++ كمتطلب سابق إلزامي، لأن الطالب يحتاج إلى إتقان البرمجة الإجرائية قبل الانتقال إلى النموذج الكائني التوجه.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 148, "language": "Arabic", "was_translated": false }, { "text": "ب سابق إلزامي، لأن الطالب يحتاج إلى إتقان البرمجة الإجرائية قبل الانتقال إلى النموذج الكائني التوجه. الترابط 2: Data Structures يسبقه Intro C++ مقرر تراكيب البيانات Data Structures يسبقه مقرر مقدمة في البرمجة C++ كمتطلب سابق إلزامي، لأن تنفيذ تراكيب البيانات يتطلب كفاءة برمجية أساسية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 149, "language": "Arabic", "was_translated": false }, { "text": "ه مقرر مقدمة في البرمجة C++ كمتطلب سابق إلزامي، لأن تنفيذ تراكيب البيانات يتطلب كفاءة برمجية أساسية. الترابط 3: AI و AI-Prog يسبقهما Info to AI مقرر الذكاء الاصطناعي AI ومقرر برمجة الذكاء الاصطناعي AI-Prog يسبقهما مقرر مقدمة في الذكاء الاصطناعي Info to AI والذي يُقدّم الإطار النظري الضروري.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 150, "language": "Arabic", "was_translated": false }, { "text": "صطناعي AI-Prog يسبقهما مقرر مقدمة في الذكاء الاصطناعي Info to AI والذي يُقدّم الإطار النظري الضروري. الترابط 4: Adv AI-Prog يسبقه AI-Prog مقرر برمجة الذكاء الاصطناعي المتقدمة Adv AI-Prog يسبقه مقرر برمجة الذكاء الاصطناعي AI-Prog وهو امتداد مباشر له.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 151, "language": "Arabic", "was_translated": false }, { "text": "الذكاء الاصطناعي المتقدمة Adv AI-Prog يسبقه مقرر برمجة الذكاء الاصطناعي AI-Prog وهو امتداد مباشر له. الترابط 5: ML يسبقه Statistics و Linear Algebra و AI-Prog مقرر التعلم الآلي ML يتطلب سابقاً إتمام مقرر الإحصاء Statistics ومقرر الجبر الخطي Linear Algebra ومقرر برمجة الذكاء الاصطناعي AI-Prog لأن خوارزميات التعلم الآلي تعتمد اعتماداً جوهرياً على هذه الأساسيات.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 152, "language": "Arabic", "was_translated": false }, { "text": "برمجة الذكاء الاصطناعي AI-Prog لأن خوارزميات التعلم الآلي تعتمد اعتماداً جوهرياً على هذه الأساسيات. الترابط 6: Deep Learning يسبقه ML مقرر التعلم العميق Deep Learning يسبقه مقرر التعلم الآلي ML لأن التعلم العميق هو توسعة متقدمة للتعلم الآلي.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 153, "language": "Arabic", "was_translated": false }, { "text": "تعلم العميق Deep Learning يسبقه مقرر التعلم الآلي ML لأن التعلم العميق هو توسعة متقدمة للتعلم الآلي. الترابط 7: NLP يُنصح بإتمام ML قبله مقرر معالجة اللغات الطبيعية NLP يُنصح بإتمام مقرر التعلم الآلي ML قبله نظراً لاعتماده على خوارزميات التعلم الإحصائي والعصبوني. الترابط 8: Adv NLP يسبقه NLP مقرر معالجة اللغات الطبيعية المتقدمة Adv NLP يسبقه مقرر NLP الأساسي إلزامياً.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 154, "language": "Arabic", "was_translated": false }, { "text": "ط 8: Adv NLP يسبقه NLP مقرر معالجة اللغات الطبيعية المتقدمة Adv NLP يسبقه مقرر NLP الأساسي إلزامياً. الترابط 9: Data Mining يُنصح بإتمام DataBase و Statistics قبله مقرر التنقيب في البيانات Data Mining يُنصح بإتمام مقرر قواعد البيانات DataBase ومقرر الإحصاء Statistics قبله.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 155, "language": "Arabic", "was_translated": false }, { "text": "قيب في البيانات Data Mining يُنصح بإتمام مقرر قواعد البيانات DataBase ومقرر الإحصاء Statistics قبله. الترابط 10: Big Data يُنصح بإتمام Data Mining و DataBase قبله مقرر البيانات الضخمة Big Data يُنصح بإتمام مقرر التنقيب في البيانات Data Mining ومقرر قواعد البيانات DataBase قبله.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 156, "language": "Arabic", "was_translated": false }, { "text": "لضخمة Big Data يُنصح بإتمام مقرر التنقيب في البيانات Data Mining ومقرر قواعد البيانات DataBase قبله. الترابط 11: Reinforcement Learning يُنصح بإتمام ML قبله مقرر التعلم المعزز Reinforcement Learning يُنصح بإتمام مقرر التعلم الآلي ML قبله لأن التعلم المعزز يبني على مفاهيم التعلم الآلي الأساسية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 157, "language": "Arabic", "was_translated": false }, { "text": "ning يُنصح بإتمام مقرر التعلم الآلي ML قبله لأن التعلم المعزز يبني على مفاهيم التعلم الآلي الأساسية. الترابط 12: مقررات السنة الرابعة تفترض إتمام غالبية مقررات السنتين الثانية والثالثة مقررات السنة الرابعة عموماً تفترض إتمام غالبية مقررات السنتين الثانية والثالثة بنجاح لأن مستواها يقتضي قاعدة معرفية ومهارية متينة.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 158, "language": "Arabic", "was_translated": false }, { "text": "ترض إتمام غالبية مقررات السنتين الثانية والثالثة بنجاح لأن مستواها يقتضي قاعدة معرفية ومهارية متينة. القسم الثاني عشر: المسارات التخصصية الفرعية في تخصص الذكاء الاصطناعي يُتيح تخصص الذكاء الاصطناعي في الجامعة الأردنية للطالب التخصص الفرعي في عدة مسارات متمايزة يمكن تحديدها من خلال اختيار المقررات الاختيارية والتركيز على مجموعة مقررات معينة.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 159, "language": "Arabic", "was_translated": false }, { "text": "عدة مسارات متمايزة يمكن تحديدها من خلال اختيار المقررات الاختيارية والتركيز على مجموعة مقررات معينة. المسار 1 - معالجة اللغات الطبيعية وبناء نماذج اللغة الكبيرة التركيز: بناء نماذج معالجة النصوص البشرية وتطبيقاتها مثل روبوتات الدردشة وأنظمة الترجمة الآلية والتلخيص والإجابة على الأسئلة وأنظمة RAG. المقررات الأساسية: Statistics, ML, Deep Learning, NLP, Adv NLP, Arabic Eng, Software-AI.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 160, "language": "Arabic", "was_translated": false }, { "text": "وأنظمة RAG. المقررات الأساسية: Statistics, ML, Deep Learning, NLP, Adv NLP, Arabic Eng, Software-AI. المسار 2 - الرؤية الحاسوبية ومعالجة الصور التركيز: تطبيقات معالجة الصور والفيديو وتمكين الحواسيب من رؤية وتفسير المحتوى البصري. المقررات الأساسية: ML, Deep Learning, Computer Vision, Pattern & Analysis, Medical Data.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 161, "language": "Mixed", "was_translated": false }, { "text": "توى البصري. المقررات الأساسية: ML, Deep Learning, Computer Vision, Pattern & Analysis, Medical Data. المسار 3 - البيانات الضخمة وهندسة البيانات التركيز: بناء البنية التحتية لجمع وتخزين ومعالجة وتحليل كميات هائلة من البيانات. المقررات الأساسية: DataBase, No SQL DB, Data Mining, Big Data, Data Visualization, Cloud Computing.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 162, "language": "Mixed", "was_translated": false }, { "text": "المقررات الأساسية: DataBase, No SQL DB, Data Mining, Big Data, Data Visualization, Cloud Computing. المسار 4 - الروبوتات والأنظمة الذكية المدمجة التركيز: تصميم وبرمجة الروبوتات والأجهزة الذكية. المقررات الأساسية: Embedded System, IOT, Robotics, Adv Embedded, Reinforcement Learning. المسار 5 - الأمن الذكي والذكاء السيبراني التركيز: تطبيقات الذكاء الاصطناعي في مجال أمن المعلومات.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 163, "language": "Arabic", "was_translated": false }, { "text": "g. المسار 5 - الأمن الذكي والذكاء السيبراني التركيز: تطبيقات الذكاء الاصطناعي في مجال أمن المعلومات. المقررات الأساسية: Info Security, Security Intelligence, Data Mining, ML. المسار 6 - تفاعل الإنسان والحاسوب وتطوير تطبيقات الذكاء الاصطناعي التركيز: بناء واجهات المستخدم وتطبيقات الويب وأدوات التفاعل مع نماذج الذكاء الاصطناعي.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 164, "language": "Arabic", "was_translated": false }, { "text": "كاء الاصطناعي التركيز: بناء واجهات المستخدم وتطبيقات الويب وأدوات التفاعل مع نماذج الذكاء الاصطناعي. المقررات الأساسية: HCI, Web, VR, Brain-Computer Interaction, Multimedia Intelligent. نهاية الوثيقة - أُعِدَّت لاستخدامها في نظام RAG لبوت المساعدة الطلابية - كلية iTeam - الجامعة الأردنية", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 165, "language": "Arabic", "was_translated": false }, { "text": "اية الوثيقة - أُعِدَّت لاستخدامها في نظام RAG لبوت المساعدة الطلابية - كلية iTeam - الجامعة الأردنية", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 166, "language": "Arabic", "was_translated": false }, { "text": "Artificial Intelligence Curriculum University of Jordan Faculty of Information Technology (iTeam) Four-Year Academic Plan Program Overview The University of Jordan offers a comprehensive four-year undergraduate degree in Artificial Intelligence through the Faculty of Information Technology, commonly referred to as iTeam.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 1, "language": "English", "was_translated": false }, { "text": "rtificial Intelligence through the Faculty of Information Technology, commonly referred to as iTeam. The program is designed to produce graduates who are proficient in the theoretical foundations and practical applications of artificial intelligence, machine learning, data science, and related computing disciplines.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 2, "language": "English", "was_translated": false }, { "text": "tions of artificial intelligence, machine learning, data science, and related computing disciplines. The curriculum is structured as a progressive sequence of courses, beginning with foundational prerequisites and advancing through increasingly specialized topics across four academic years.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 3, "language": "English", "was_translated": false }, { "text": "onal prerequisites and advancing through increasingly specialized topics across four academic years.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 4, "language": "English", "was_translated": false }, { "text": "To graduate from the Artificial Intelligence program at the University of Jordan, a student must successfully complete a minimum of forty-five credit hours as a first milestone, and a total of ninety credit hours as a second milestone, in addition to final graduation requirements that include senior projects, field training, and career preparation.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 5, "language": "English", "was_translated": false }, { "text": "final graduation requirements that include senior projects, field training, and career preparation. The full program spans approximately one hundred and twenty-three credit hours distributed across eight academic semesters.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 6, "language": "English", "was_translated": false }, { "text": "approximately one hundred and twenty-three credit hours distributed across eight academic semesters. The study plan uses a color-coding system to differentiate course levels: teal for Year 1, dark navy for Year 2, orange for Year 3, red for Year 4, and light orange for elective courses.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 7, "language": "English", "was_translated": false }, { "text": "r 1, dark navy for Year 2, orange for Year 3, red for Year 4, and light orange for elective courses.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 8, "language": "English", "was_translated": false }, { "text": "Prerequisite and Foundation Courses Before beginning the core AI specialization courses, students in the Artificial Intelligence program at the University of Jordan must complete a set of foundational prerequisite courses that form the essential knowledge and skills base required for success in advanced academic stages.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 9, "language": "English", "was_translated": false }, { "text": "that form the essential knowledge and skills base required for success in advanced academic stages. These courses are typically completed during the first and second semesters of Year 1 and are prerequisites for most upper-level courses in the program.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 10, "language": "English", "was_translated": false }, { "text": "st and second semesters of Year 1 and are prerequisites for most upper-level courses in the program. The course CS99, known as Computer Fundamentals, introduces students to the basic concepts of computer science, computer architecture, and operating systems. This foundational course is typically the entry point for all students joining the Faculty of Information Technology.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 11, "language": "English", "was_translated": false }, { "text": "course is typically the entry point for all students joining the Faculty of Information Technology. Introduction to C++ Programming teaches students how to write structured programs using the C++ language and understand procedural programming paradigms, which is essential preparation for the Object-Oriented Programming course that follows in the next semester.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 12, "language": "English", "was_translated": false }, { "text": "essential preparation for the Object-Oriented Programming course that follows in the next semester. Discrete Mathematics covers mathematical logic, set theory, data structures theory, and fundamental algorithms, providing the formal reasoning skills that underpin computer science and artificial intelligence.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 13, "language": "English", "was_translated": false }, { "text": "s, providing the formal reasoning skills that underpin computer science and artificial intelligence. Linear Algebra for Computing Sciences covers matrices, vectors, and algebraic spaces that are essential for understanding the mathematical foundations of machine learning and AI algorithms.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 14, "language": "English", "was_translated": false }, { "text": "are essential for understanding the mathematical foundations of machine learning and AI algorithms. Calculus 1 addresses single-variable differential and integral calculus and its applications in model optimization. Finally, Fundamentals of Information Technology reinforces concepts in information systems and communication technology.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 15, "language": "English", "was_translated": false }, { "text": "s of Information Technology reinforces concepts in information systems and communication technology. Year 1 Courses Teal Color Code The first year of the Artificial Intelligence program at the University of Jordan focuses on building the technical and programming foundation that students need before advancing to specialized AI coursework.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 16, "language": "English", "was_translated": false }, { "text": "chnical and programming foundation that students need before advancing to specialized AI coursework. The first-year mandatory courses are color-coded teal in the official study plan approved by the Faculty of Information Technology.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 17, "language": "English", "was_translated": false }, { "text": "s are color-coded teal in the official study plan approved by the Faculty of Information Technology. Object-Oriented Programming (OOP) is a three-credit-hour course that trains students in the concepts of classes, objects, inheritance, polymorphism, and encapsulation, along with SOLID design principles.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 18, "language": "English", "was_translated": false }, { "text": "classes, objects, inheritance, polymorphism, and encapsulation, along with SOLID design principles. These concepts are essential for understanding the architecture of AI libraries and frameworks such as TensorFlow and PyTorch. The prerequisite for OOP is the Introduction to C++ course, as students must master procedural programming before transitioning to the object-oriented paradigm.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 19, "language": "English", "was_translated": false }, { "text": "as students must master procedural programming before transitioning to the object-oriented paradigm. Computer Networks is a three-credit-hour course covering communication protocols, the OSI model, TCP/IP, internet fundamentals, and basic network security. This knowledge is necessary for understanding cloud deployment environments for AI models.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 20, "language": "English", "was_translated": false }, { "text": "security. This knowledge is necessary for understanding cloud deployment environments for AI models. Data Structures is a three-credit-hour course that teaches students how to organize and retrieve data efficiently using structures such as linked lists, trees, graphs, and hash tables.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 21, "language": "English", "was_translated": false }, { "text": "and retrieve data efficiently using structures such as linked lists, trees, graphs, and hash tables. It is one of the most critical foundational courses for any programmer and serves as a prerequisite for algorithm design courses in later semesters.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 22, "language": "English", "was_translated": false }, { "text": "ses for any programmer and serves as a prerequisite for algorithm design courses in later semesters. Introduction to Artificial Intelligence (Info to AI) is a three-credit-hour course that introduces the history of artificial intelligence, its fundamental concepts, general applications, and the classification of different AI types.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 23, "language": "English", "was_translated": false }, { "text": "gence, its fundamental concepts, general applications, and the classification of different AI types. It is the official gateway course into the academic world of AI at the University of Jordan and serves as a prerequisite for the core AI and AI Programming courses in Year 2.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 24, "language": "English", "was_translated": false }, { "text": "versity of Jordan and serves as a prerequisite for the core AI and AI Programming courses in Year 2. Principles of Statistics is a three-credit-hour course covering descriptive and inferential statistics, probability distributions, and statistical testing. These tools are fundamental to understanding and evaluating machine learning models.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 25, "language": "English", "was_translated": false }, { "text": "stical testing. These tools are fundamental to understanding and evaluating machine learning models. Year 2 Courses Dark Navy Color Code The second year of the Artificial Intelligence program represents the phase of deepening technical foundations and is color-coded dark navy in the official study plan.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 26, "language": "English", "was_translated": false }, { "text": "he phase of deepening technical foundations and is color-coded dark navy in the official study plan. These courses form the academic backbone of the AI specialization in terms of intermediate technical knowledge and serve as prerequisites for the advanced courses in Years 3 and 4.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 27, "language": "English", "was_translated": false }, { "text": "termediate technical knowledge and serve as prerequisites for the advanced courses in Years 3 and 4. AI Programming (AI-Prog) is a three-credit-hour course that trains students in implementing AI algorithms programmatically using Python, including search algorithms and logical inference.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 28, "language": "English", "was_translated": false }, { "text": "ting AI algorithms programmatically using Python, including search algorithms and logical inference. Advanced AI Programming (Adv AI-Prog) is a direct extension of AI-Prog, covering more complex programming topics including the implementation of various machine learning models from scratch and performance optimization. AI-Prog is a prerequisite for Adv AI-Prog.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 29, "language": "English", "was_translated": false }, { "text": "earning models from scratch and performance optimization. AI-Prog is a prerequisite for Adv AI-Prog. Database Management Systems (DataBase) is a three-credit-hour course covering the principles of relational database design, SQL, and complex query operations. These skills are essential for managing training data in AI projects.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 30, "language": "English", "was_translated": false }, { "text": "and complex query operations. These skills are essential for managing training data in AI projects. Information Security (Info Security) is a three-credit-hour course covering the principles of securing digital systems, data protection, and digital privacy, which is especially relevant given that AI models often handle sensitive personal and institutional data.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 31, "language": "English", "was_translated": false }, { "text": "is especially relevant given that AI models often handle sensitive personal and institutional data. Software Engineering is a three-credit-hour course that teaches students the software development lifecycle and project management methodologies including Agile and Scrum. These skills are fundamental for completing AI projects within team environments.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 32, "language": "English", "was_translated": false }, { "text": "g Agile and Scrum. These skills are fundamental for completing AI projects within team environments. Data Mining is a three-credit-hour course teaching techniques for extracting hidden patterns from large datasets using algorithms such as clustering, classification, and association rules.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 33, "language": "English", "was_translated": false }, { "text": "erns from large datasets using algorithms such as clustering, classification, and association rules. Cloud Computing is a three-credit-hour course covering cloud service models including IaaS, PaaS, and SaaS, and the deployment of AI models on platforms such as AWS, Google Cloud, and Microsoft Azure.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 34, "language": "English", "was_translated": false }, { "text": "d SaaS, and the deployment of AI models on platforms such as AWS, Google Cloud, and Microsoft Azure. Algorithm Theory (Algo) is a three-credit-hour course that examines algorithmic complexity analysis in terms of time and memory, and covers advanced design techniques including dynamic programming, greedy algorithms, and divide-and-conquer approaches.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 35, "language": "English", "was_translated": false }, { "text": "sign techniques including dynamic programming, greedy algorithms, and divide-and-conquer approaches. The core Artificial Intelligence (AI) course is the three-credit-hour pivotal course that integrates the various threads of AI science into a comprehensive theoretical and methodological framework.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 36, "language": "English", "was_translated": false }, { "text": "tes the various threads of AI science into a comprehensive theoretical and methodological framework. Applied Statistics, offered at the second-year level, covers inferential and applied statistical analysis and statistical modeling, building on the foundational statistics course from Year 1.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 37, "language": "English", "was_translated": false }, { "text": "tical analysis and statistical modeling, building on the foundational statistics course from Year 1. Year 3 Courses Orange Color Code The third year of the Artificial Intelligence program at the University of Jordan represents the phase of deep specialization, covering the most prominent sub-fields of artificial intelligence. Third-year courses are color-coded orange in the official study plan.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 38, "language": "English", "was_translated": false }, { "text": "ds of artificial intelligence. Third-year courses are color-coded orange in the official study plan. The courses are organized across several thematic tracks covering machine learning, data engineering, computer vision, embedded systems, and knowledge management. Machine Learning and Data Track Machine Learning and Neural Networks (ML) is one of the most important courses in the AI specialization.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 39, "language": "English", "was_translated": false }, { "text": "ine Learning and Neural Networks (ML) is one of the most important courses in the AI specialization. This three-credit-hour course covers supervised and unsupervised learning algorithms, artificial neural network concepts, and how to build and train predictive models. Its prerequisites include Statistics, Linear Algebra, and AI Programming.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 40, "language": "English", "was_translated": false }, { "text": "d train predictive models. Its prerequisites include Statistics, Linear Algebra, and AI Programming. Deep Learning is the three-credit-hour natural continuation of ML, examining deep neural network architectures including Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Transformers the technical foundation underlying large language models.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 41, "language": "English", "was_translated": false }, { "text": "t Neural Networks (RNN), and Transformers the technical foundation underlying large language models. Big Data is a three-credit-hour course teaching students how to process and analyze massive datasets that exceed the capabilities of traditional systems, using frameworks such as Hadoop and Spark.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 42, "language": "English", "was_translated": false }, { "text": "sets that exceed the capabilities of traditional systems, using frameworks such as Hadoop and Spark. Data Visualization is a three-credit-hour course that trains students in converting complex datasets into clear and compelling visual representations using tools such as Matplotlib, Seaborn, and Tableau.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 43, "language": "English", "was_translated": false }, { "text": "to clear and compelling visual representations using tools such as Matplotlib, Seaborn, and Tableau. Medical Data is a three-credit-hour course focusing on AI applications in the healthcare sector, dealing with sensitive medical data, the structure of electronic health records, and the ethical challenges associated with medical AI.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 44, "language": "English", "was_translated": false }, { "text": ", the structure of electronic health records, and the ethical challenges associated with medical AI. Bioinformatics is a three-credit-hour course exploring AI applications in biology, including genetic and protein sequence analysis. Pattern Recognition and Information Analysis is a three-credit-hour course covering techniques for recognizing patterns in data of various forms.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 45, "language": "English", "was_translated": false }, { "text": "is a three-credit-hour course covering techniques for recognizing patterns in data of various forms. Computer Vision and Virtual Reality Track Computer Vision is a three-credit-hour course teaching students how to enable computers to interpret and understand image and video content. Topics include object detection, face recognition, image segmentation, and motion tracking.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 46, "language": "English", "was_translated": false }, { "text": "content. Topics include object detection, face recognition, image segmentation, and motion tracking. Virtual Reality (VR) is a three-credit-hour course exploring technologies for creating and interacting with simulated environments, intersecting with AI in applications such as training simulations and spatial signal processing.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 47, "language": "English", "was_translated": false }, { "text": "ts, intersecting with AI in applications such as training simulations and spatial signal processing. AI Frameworks is a three-credit-hour course training students in the use of specialized AI programming frameworks including TensorFlow, PyTorch, and Keras, and deploying trained models in production environments.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 48, "language": "English", "was_translated": false }, { "text": "s including TensorFlow, PyTorch, and Keras, and deploying trained models in production environments. Advanced Computing Systems Track Embedded Systems is a three-credit-hour course introducing students to the programming and design of embedded systems and resource-constrained devices that run compressed AI algorithms.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 49, "language": "English", "was_translated": false }, { "text": "g and design of embedded systems and resource-constrained devices that run compressed AI algorithms. Internet of Things (IoT) is a three-credit-hour course covering the concepts of connecting devices and sensors to the internet, collecting data from them, and processing that data with AI algorithms for Edge AI applications.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 50, "language": "English", "was_translated": false }, { "text": "et, collecting data from them, and processing that data with AI algorithms for Edge AI applications. NoSQL Databases (No SQL DB) is a three-credit-hour course training students in non-relational databases including MongoDB, Cassandra, and Redis, which are suitable for storing unstructured training data.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 51, "language": "English", "was_translated": false }, { "text": "including MongoDB, Cassandra, and Redis, which are suitable for storing unstructured training data. Database Tools (DB Tools) is a three-credit-hour course covering specialized tools and technologies for managing and optimizing databases used in AI applications.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 52, "language": "English", "was_translated": false }, { "text": "ng specialized tools and technologies for managing and optimizing databases used in AI applications. Knowledge Management and Project Track IT Project Management (ITE) and Project Management are both three-credit-hour courses covering integrated and agile project management methodologies for information technology projects.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 53, "language": "English", "was_translated": false }, { "text": "covering integrated and agile project management methodologies for information technology projects. Ontologies and Knowledge Graphs is a three-credit-hour course covering the structured representation of knowledge used in building reasoning systems and knowledge bases.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 54, "language": "English", "was_translated": false }, { "text": "g the structured representation of knowledge used in building reasoning systems and knowledge bases. Knowledge Representation and Reasoning (KRR) is a three-credit-hour course teaching techniques for representing human knowledge in machine-processable formats and implementing automated reasoning logic.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 55, "language": "English", "was_translated": false }, { "text": "resenting human knowledge in machine-processable formats and implementing automated reasoning logic. Technologies and Applications of Knowledge is a three-credit-hour course addressing practical applications of knowledge technology across various sectors.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 56, "language": "English", "was_translated": false }, { "text": "credit-hour course addressing practical applications of knowledge technology across various sectors. Year 4 Courses Red Color Code The fourth year represents the pinnacle of the Artificial Intelligence academic journey at the University of Jordan.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 57, "language": "English", "was_translated": false }, { "text": "represents the pinnacle of the Artificial Intelligence academic journey at the University of Jordan. Fourth-year courses are color-coded red in the official study plan and focus on highly specialized domains, advanced applications, and mandatory graduation projects that consolidate student skills before entering the workforce.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 58, "language": "English", "was_translated": false }, { "text": "ns, and mandatory graduation projects that consolidate student skills before entering the workforce. Natural Language Processing Track Natural Language Processing (NLP) is the pivotal three-credit-hour course that teaches students how to enable computers to understand, generate, and translate human text.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 59, "language": "English", "was_translated": false }, { "text": "rse that teaches students how to enable computers to understand, generate, and translate human text. It covers morphological and syntactic analysis, semantic analysis, word embeddings, and language model fundamentals. This course is recommended after completing ML due to its reliance on statistical and neural learning algorithms.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 60, "language": "English", "was_translated": false }, { "text": "s recommended after completing ML due to its reliance on statistical and neural learning algorithms.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 61, "language": "English", "was_translated": false }, { "text": "Advanced NLP (Adv NLP) is a three-credit-hour course that deepens the study of NLP with the latest techniques including the Transformer architecture, Attention Mechanism, BERT, GPT, and their applications in question answering, automatic summarization, information extraction, and Retrieval-Augmented Generation (RAG) systems. NLP is a mandatory prerequisite for Adv NLP.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 62, "language": "English", "was_translated": false }, { "text": "tion, and Retrieval-Augmented Generation (RAG) systems. NLP is a mandatory prerequisite for Adv NLP.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 63, "language": "English", "was_translated": false }, { "text": "Arabic Language Engineering (Arabic Eng) is a three-credit-hour course focusing specifically on the challenges of processing the Arabic language computationally, addressing its complex morphological and syntactic characteristics, issues of diacritization, derivation, conjugation, and the multiplicity of Arabic dialects.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 64, "language": "English", "was_translated": false }, { "text": "ristics, issues of diacritization, derivation, conjugation, and the multiplicity of Arabic dialects. The course covers how to build NLP models specifically designed for the Arabic language, making it highly relevant for AI applications targeting Arabic-speaking users and markets.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 65, "language": "English", "was_translated": false }, { "text": "language, making it highly relevant for AI applications targeting Arabic-speaking users and markets. Speech and Audio Processing Track Digital Speech Processing (Speech Process) is a three-credit-hour course teaching techniques in speech recognition, synthetic voice generation, and audio signal analysis.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 66, "language": "English", "was_translated": false }, { "text": "se teaching techniques in speech recognition, synthetic voice generation, and audio signal analysis. This course is essential for building voice assistants and text-to-speech and speech-to-text systems. It provides the technical foundation for AI applications that involve spoken language interfaces.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 67, "language": "English", "was_translated": false }, { "text": "s. It provides the technical foundation for AI applications that involve spoken language interfaces. Robotics and Intelligent Embedded Systems Track Intelligent Robotics (Robotics) is a three-credit-hour course integrating principles of mechanics, computer science, and artificial intelligence to design and program autonomous robots capable of interacting with their environment.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 68, "language": "English", "was_translated": false }, { "text": "intelligence to design and program autonomous robots capable of interacting with their environment. Advanced Embedded Systems (Adv Embedded) is a three-credit-hour extension of the Year 3 Embedded Systems course, focusing on designing high-performance, resource-constrained computing systems with integrated advanced AI algorithms.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 69, "language": "English", "was_translated": false }, { "text": "ing high-performance, resource-constrained computing systems with integrated advanced AI algorithms. Intelligent Agents is a three-credit-hour course covering the theory of intelligent agents and how to design autonomous decision-making systems that operate in dynamic and complex environments.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 70, "language": "English", "was_translated": false }, { "text": "d how to design autonomous decision-making systems that operate in dynamic and complex environments. Reinforcement Learning and Autonomous Systems Track Reinforcement Learning is a three-credit-hour course teaching students how to train intelligent agents through interaction with the environment using rewards and punishments.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 71, "language": "English", "was_translated": false }, { "text": "to train intelligent agents through interaction with the environment using rewards and punishments. It covers Q-Learning, PPO, and other core reinforcement learning algorithms, and represents the technical foundation underlying intelligent computer games and autonomous vehicles.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 72, "language": "English", "was_translated": false }, { "text": "d represents the technical foundation underlying intelligent computer games and autonomous vehicles. Game AI is a three-credit-hour course focusing on AI applications in computer game environments, including state-space search algorithms and deep reinforcement learning applications.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 73, "language": "English", "was_translated": false }, { "text": "environments, including state-space search algorithms and deep reinforcement learning applications. Adaptive Systems is a three-credit-hour course covering the design of systems that automatically adapt to changes without requiring manual reprogramming.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 74, "language": "English", "was_translated": false }, { "text": "ng the design of systems that automatically adapt to changes without requiring manual reprogramming. Human-Computer Interaction and Web Track Web Application Development (Web) is a three-credit-hour course focused on building APIs and web applications that deliver AI services to end users.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 75, "language": "English", "was_translated": false }, { "text": "dit-hour course focused on building APIs and web applications that deliver AI services to end users. Human-Computer Interaction (HCI) is a three-credit-hour course studying the science of designing human-computer interfaces and how to build intuitive and effective user experiences for AI applications.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 76, "language": "English", "was_translated": false }, { "text": "n-computer interfaces and how to build intuitive and effective user experiences for AI applications. This course is particularly relevant for AI engineers who want their systems to be accessible and usable by non-technical audiences.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 77, "language": "English", "was_translated": false }, { "text": "vant for AI engineers who want their systems to be accessible and usable by non-technical audiences. Social Networks, Security Intelligence, and Advanced Specializations Social Network Analysis (Social Net) is a three-credit-hour course covering the extraction of knowledge from social networks and the analysis of large-scale network graphs.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 78, "language": "English", "was_translated": false }, { "text": "ing the extraction of knowledge from social networks and the analysis of large-scale network graphs. Computational Problems and Techniques is a three-credit-hour course addressing a wide spectrum of computationally hard problems and approaches for dealing with them.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 79, "language": "English", "was_translated": false }, { "text": "se addressing a wide spectrum of computationally hard problems and approaches for dealing with them. Security Intelligence is a three-credit-hour course integrating AI techniques into cybersecurity for detecting attacks, analyzing digital threats, and generating intelligent responses.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 80, "language": "English", "was_translated": false }, { "text": "ybersecurity for detecting attacks, analyzing digital threats, and generating intelligent responses. Cognitive Science (Cognitive) is a three-credit-hour course exploring the relationship between artificial intelligence and human cognitive science and the philosophical foundations of simulating human thinking.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 81, "language": "English", "was_translated": false }, { "text": "lligence and human cognitive science and the philosophical foundations of simulating human thinking. Intelligent Multimedia Systems (Multimedia Intelligent) is a three-credit-hour course covering the processing, analysis, and generation of multi-modal digital content using AI.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 82, "language": "English", "was_translated": false }, { "text": "ur course covering the processing, analysis, and generation of multi-modal digital content using AI. Brain-Computer Interaction is a three-credit-hour course covering neural-computing interfaces and enabling direct communication between the human brain and computers.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 83, "language": "English", "was_translated": false }, { "text": "neural-computing interfaces and enabling direct communication between the human brain and computers.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 84, "language": "English", "was_translated": false }, { "text": "Elective Courses Light Orange Color Code The light orange courses in the official AI study plan at the University of Jordan represent elective courses that students may choose from to complete their required specialization credit hours, according to their academic interests and professional aspirations.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 85, "language": "English", "was_translated": false }, { "text": "red specialization credit hours, according to their academic interests and professional aspirations. These courses offer flexibility within the structured curriculum and allow students to tailor their degree toward a preferred sub-field. Applied Statistics covers advanced inferential and applied statistical techniques and their applications in AI project data analysis.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 86, "language": "English", "was_translated": false }, { "text": "d inferential and applied statistical techniques and their applications in AI project data analysis. Software Engineering for AI (Software-AI) focuses on the methodologies and programming frameworks specialized in developing large-scale AI applications.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 87, "language": "English", "was_translated": false }, { "text": "the methodologies and programming frameworks specialized in developing large-scale AI applications. Ethics of AI and Data Science (Ethics AI and DS) addresses the ethical and social questions associated with the use of artificial intelligence, including model bias, transparency, accountability, privacy, and responsible use of data and AI systems.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 88, "language": "English", "was_translated": false }, { "text": "uding model bias, transparency, accountability, privacy, and responsible use of data and AI systems. The Software Industry Seminar (Seminar) is an elective seminar course that connects students with the job market and technology companies, introducing them to career pathways in the software industry and AI application sector.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 89, "language": "English", "was_translated": false }, { "text": "y companies, introducing them to career pathways in the software industry and AI application sector. Special Topics is an elective course with variable content that covers the latest developments and trends in artificial intelligence that may not yet be part of the fixed official curriculum.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 90, "language": "English", "was_translated": false }, { "text": "nts and trends in artificial intelligence that may not yet be part of the fixed official curriculum.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 91, "language": "English", "was_translated": false }, { "text": "Graduation Requirements Projects and Career Preparation The graduation requirements for the Artificial Intelligence program at the University of Jordan include several mandatory components beyond coursework, all of which must be completed after successfully passing forty-five and then ninety credit hours.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 92, "language": "English", "was_translated": false }, { "text": ", all of which must be completed after successfully passing forty-five and then ninety credit hours. These requirements ensure that students transition from academic training to professional readiness in a structured and supervised manner.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 93, "language": "English", "was_translated": false }, { "text": "s transition from academic training to professional readiness in a structured and supervised manner. Graduation Project 1 (course number 1931496) is a mandatory three-credit-hour course in which the student executes the first academic applied project under the supervision of a specialized academic advisor.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 94, "language": "English", "was_translated": false }, { "text": "executes the first academic applied project under the supervision of a specialized academic advisor. Through this project, the student demonstrates the skills and knowledge acquired throughout their academic journey by solving a real-world problem or building a complete AI system.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 95, "language": "English", "was_translated": false }, { "text": "throughout their academic journey by solving a real-world problem or building a complete AI system. Graduation Project 2 (course number 1931497) is the mandatory second and complementary phase of the graduation project, encompassing product development, complete implementation, testing, and full documentation.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 96, "language": "English", "was_translated": false }, { "text": "project, encompassing product development, complete implementation, testing, and full documentation. Field Training (course number 1931497) is a mandatory three-credit-hour practicum in which the student spends a period of training at a specialized technology company or institution, applying their knowledge and skills in a real work environment.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 97, "language": "English", "was_translated": false }, { "text": "d technology company or institution, applying their knowledge and skills in a real work environment. Career Preparation (course number 1931498) is a mandatory course that prepares the student for the transition from academic life to the job market by developing skills in resume writing, interview preparation, and professional networking.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 98, "language": "English", "was_translated": false }, { "text": "b market by developing skills in resume writing, interview preparation, and professional networking. Special Topics (course number 1931499) is an optional course with variable content covering the latest AI developments and trends.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 99, "language": "English", "was_translated": false }, { "text": "1931499) is an optional course with variable content covering the latest AI developments and trends. Proposed Semester-by-Semester Schedule Year 1 Semester 1 (Total: 15 Credit Hours Cumulative: 15) The first semester focuses on foundational prerequisite courses that pave the way for the AI specialization.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 100, "language": "English", "was_translated": false }, { "text": "t semester focuses on foundational prerequisite courses that pave the way for the AI specialization. Students take Computer Fundamentals (CS99, 3 credits), Introduction to C++ Programming (3 credits), Calculus 1 (3 credits), Fundamentals of Information Technology (fund, 3 credits), and Discrete Mathematics (3 credits).", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 101, "language": "English", "was_translated": false }, { "text": "ts), Fundamentals of Information Technology (fund, 3 credits), and Discrete Mathematics (3 credits). All five courses are at the prerequisite level and build the mathematical and programming literacy required for all subsequent semesters.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 102, "language": "English", "was_translated": false }, { "text": "ite level and build the mathematical and programming literacy required for all subsequent semesters. Year 1 Semester 2 (Total: 15 Credit Hours Cumulative: 30) The second semester completes the prerequisite requirements and introduces the first specialization courses.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 103, "language": "English", "was_translated": false }, { "text": "nd semester completes the prerequisite requirements and introduces the first specialization courses.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 104, "language": "English", "was_translated": false }, { "text": "Students take Linear Algebra for Computing Sciences (3 credits, prerequisite level) alongside Object-Oriented Programming (OOP, 3 credits), Introduction to Artificial Intelligence (Info to AI, 3 credits), Data Structures (3 credits), and Principles of Statistics (3 credits), all at the Year 1 specialization level.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 105, "language": "English", "was_translated": false }, { "text": "tures (3 credits), and Principles of Statistics (3 credits), all at the Year 1 specialization level. Year 2 Semester 1 (Total: 15 Credit Hours Cumulative: 45 First Milestone) The third semester marks the completion of the first major academic milestone of forty-five credit hours.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 106, "language": "English", "was_translated": false }, { "text": "hird semester marks the completion of the first major academic milestone of forty-five credit hours. Students deepen their technical expertise by taking Computer Networks (3 credits), AI Programming (AI-Prog, 3 credits), Database Management Systems (3 credits), Algorithm Theory (Algo, 3 credits), and the core Artificial Intelligence course (AI, 3 credits).", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 107, "language": "English", "was_translated": false }, { "text": "s), Algorithm Theory (Algo, 3 credits), and the core Artificial Intelligence course (AI, 3 credits). Completing this semester means the student has passed the minimum threshold required for the first phase of the program. Year 2 Semester 2 (Total: 15 Credit Hours Cumulative: 60) The fourth semester completes the Year 2 mandatory courses and introduces students to specialized sub-disciplines.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 108, "language": "English", "was_translated": false }, { "text": "ester completes the Year 2 mandatory courses and introduces students to specialized sub-disciplines. Students take Advanced AI Programming (Adv AI-Prog, 3 credits), Information Security (3 credits), Software Engineering (3 credits), Data Mining (3 credits), and Cloud Computing (3 credits).", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 109, "language": "English", "was_translated": false }, { "text": "redits), Software Engineering (3 credits), Data Mining (3 credits), and Cloud Computing (3 credits). By the end of this semester, students have covered all core technical Year 2 content and are ready to move into advanced third-year specialization. Year 3 Semester 1 (Total: 15 Credit Hours Cumulative: 75) The fifth semester marks the beginning of deep specialization.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 110, "language": "English", "was_translated": false }, { "text": "otal: 15 Credit Hours Cumulative: 75) The fifth semester marks the beginning of deep specialization. Students study Machine Learning and Neural Networks (ML, 3 credits), Computer Vision (3 credits), Big Data (3 credits), Embedded Systems (3 credits), and Knowledge Representation and Reasoning (KRR, 3 credits).", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 111, "language": "English", "was_translated": false }, { "text": "credits), Embedded Systems (3 credits), and Knowledge Representation and Reasoning (KRR, 3 credits). The ML course introduced in this semester is a pivotal gateway to most of the advanced Year 4 courses.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 112, "language": "English", "was_translated": false }, { "text": "e ML course introduced in this semester is a pivotal gateway to most of the advanced Year 4 courses. Year 3 Semester 2 (Total: 15 Credit Hours Cumulative: 90 Second Milestone) The sixth semester marks the completion of the second major milestone of ninety credit hours, qualifying the student for graduation project enrollment.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 113, "language": "English", "was_translated": false }, { "text": "nd major milestone of ninety credit hours, qualifying the student for graduation project enrollment. Students take Deep Learning (3 credits), Data Visualization (3 credits), Internet of Things (IoT, 3 credits), Ontologies and Knowledge Graphs (3 credits), and Pattern Recognition and Information Analysis (3 credits).", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 114, "language": "English", "was_translated": false }, { "text": "gies and Knowledge Graphs (3 credits), and Pattern Recognition and Information Analysis (3 credits). After this semester, the student has the broad knowledge base needed for the highly specialized Year 4 courses. Year 4 Semester 1 (Total: 15 Credit Hours Cumulative: 105) The seventh semester introduces the deepest specialization courses and includes the first graduation project.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 115, "language": "English", "was_translated": false }, { "text": "th semester introduces the deepest specialization courses and includes the first graduation project. Students take Natural Language Processing (NLP, 3 credits), Reinforcement Learning (3 credits), Intelligent Robotics (3 credits), the elective Ethics of AI and Data Science (3 credits), and Graduation Project 1 (course number 1931496, 3 credits).", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 116, "language": "English", "was_translated": false }, { "text": "ics of AI and Data Science (3 credits), and Graduation Project 1 (course number 1931496, 3 credits). This semester requires the strongest academic foundation as all courses are advanced fourth-year content. Year 4 Semester 2 (Total: 18 Credit Hours Cumulative: 123 Program Complete) The eighth and final semester concludes the student's academic journey at the University of Jordan.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 117, "language": "English", "was_translated": false }, { "text": "The eighth and final semester concludes the student's academic journey at the University of Jordan. Students complete Advanced NLP (3 credits), Human-Computer Interaction (HCI, 3 credits), Security Intelligence (3 credits), Field Training (course number 1931497, 3 credits), Graduation Project 2 (course number 1931497, 3 credits), and Career Preparation (course number 1931498, 3 credits).", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 118, "language": "English", "was_translated": false }, { "text": "ect 2 (course number 1931497, 3 credits), and Career Preparation (course number 1931498, 3 credits). Successful completion of all 123 credit hours across the eight semesters fulfills all graduation requirements for the Artificial Intelligence degree.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 119, "language": "English", "was_translated": false }, { "text": "oss the eight semesters fulfills all graduation requirements for the Artificial Intelligence degree. Course Prerequisites and Dependency Chains Understanding the sequential dependencies between courses is fundamental to planning an optimal study schedule in the Artificial Intelligence program at the University of Jordan.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 120, "language": "English", "was_translated": false }, { "text": "anning an optimal study schedule in the Artificial Intelligence program at the University of Jordan. Many advanced courses require the completion of earlier foundational courses, and failing to observe these prerequisites can result in delays in graduation or academic difficulties.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 121, "language": "English", "was_translated": false }, { "text": "failing to observe these prerequisites can result in delays in graduation or academic difficulties. Object-Oriented Programming (OOP) requires Introduction to C++ as a mandatory prerequisite, because students must master procedural programming before transitioning to the object-oriented model.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 122, "language": "English", "was_translated": false }, { "text": "cause students must master procedural programming before transitioning to the object-oriented model. Data Structures also requires Introduction to C++ as a prerequisite, because implementing data structures demands a solid basic programming competency.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 123, "language": "English", "was_translated": false }, { "text": "s a prerequisite, because implementing data structures demands a solid basic programming competency. The core Artificial Intelligence (AI) course and AI Programming (AI-Prog) both require Introduction to Artificial Intelligence (Info to AI) as a prerequisite, as that course provides the necessary theoretical framework.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 124, "language": "English", "was_translated": false }, { "text": "ligence (Info to AI) as a prerequisite, as that course provides the necessary theoretical framework. Advanced AI Programming (Adv AI-Prog) requires AI Programming (AI-Prog) as a mandatory prerequisite, as it is a direct continuation.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 125, "language": "English", "was_translated": false }, { "text": "Prog) requires AI Programming (AI-Prog) as a mandatory prerequisite, as it is a direct continuation. Machine Learning (ML) requires Statistics, Linear Algebra, and AI Programming as prerequisites, because ML algorithms rely fundamentally on these mathematical and programming foundations.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 126, "language": "English", "was_translated": false }, { "text": "uisites, because ML algorithms rely fundamentally on these mathematical and programming foundations. Deep Learning requires ML as a mandatory prerequisite, as deep learning is an advanced extension of machine learning.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 127, "language": "English", "was_translated": false }, { "text": "uires ML as a mandatory prerequisite, as deep learning is an advanced extension of machine learning. NLP is recommended after completing ML due to its reliance on statistical and neural learning algorithms, while Advanced NLP requires the basic NLP course as a mandatory prerequisite. Data Mining is recommended after completing Database Management and Statistics.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 128, "language": "English", "was_translated": false }, { "text": "datory prerequisite. Data Mining is recommended after completing Database Management and Statistics. Big Data is recommended after completing Data Mining and Database Management. Reinforcement Learning is recommended after completing ML, as reinforcement learning builds on core machine learning concepts.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 129, "language": "English", "was_translated": false }, { "text": "recommended after completing ML, as reinforcement learning builds on core machine learning concepts. In general, Year 4 courses presuppose the successful completion of the majority of Year 2 and Year 3 courses, as their level of difficulty requires a solid knowledge and skills base across multiple domains.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 130, "language": "English", "was_translated": false }, { "text": "es, as their level of difficulty requires a solid knowledge and skills base across multiple domains. Specialization Tracks within the AI Program The Artificial Intelligence program at the University of Jordan allows students to effectively specialize within several distinct sub-tracks by focusing their elective course selection and course emphasis.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 131, "language": "English", "was_translated": false }, { "text": "within several distinct sub-tracks by focusing their elective course selection and course emphasis. While all students share a common core curriculum, these tracks provide meaningful differentiation for career and research purposes.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 132, "language": "English", "was_translated": false }, { "text": "n core curriculum, these tracks provide meaningful differentiation for career and research purposes. The Natural Language Processing and Large Language Models Track focuses on building text processing models and their applications such as chatbots, machine translation systems, summarization, question answering, and RAG systems.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 133, "language": "English", "was_translated": false }, { "text": "s such as chatbots, machine translation systems, summarization, question answering, and RAG systems. The core courses for this track are Statistics, ML, Deep Learning, NLP, Advanced NLP, Arabic Language Engineering, and Software-AI. Students pursuing this track are well prepared for careers in conversational AI, search engines, and language technology.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 134, "language": "English", "was_translated": false }, { "text": "s track are well prepared for careers in conversational AI, search engines, and language technology. The Computer Vision and Image Processing Track focuses on image and video processing applications and enabling computers to see and interpret visual content. The core courses for this track are ML, Deep Learning, Computer Vision, Pattern Recognition and Analysis, and Medical Data.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 135, "language": "English", "was_translated": false }, { "text": "is track are ML, Deep Learning, Computer Vision, Pattern Recognition and Analysis, and Medical Data. This track is well suited for careers in medical imaging, surveillance, autonomous vehicles, and visual content analysis. The Big Data and Data Engineering Track focuses on building the infrastructure for collecting, storing, processing, and analyzing massive amounts of data.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 136, "language": "English", "was_translated": false }, { "text": "lding the infrastructure for collecting, storing, processing, and analyzing massive amounts of data. The core courses for this track are Database Management, NoSQL Databases, Data Mining, Big Data, Data Visualization, and Cloud Computing. This track prepares students for roles as data engineers, data architects, and analytics platform developers.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 137, "language": "English", "was_translated": false }, { "text": "k prepares students for roles as data engineers, data architects, and analytics platform developers. The Robotics and Intelligent Embedded Systems Track focuses on designing and programming robots and intelligent hardware devices. The core courses for this track are Embedded Systems, IoT, Intelligent Robotics, Advanced Embedded Systems, and Reinforcement Learning.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 138, "language": "English", "was_translated": false }, { "text": "Embedded Systems, IoT, Intelligent Robotics, Advanced Embedded Systems, and Reinforcement Learning. The AI Security and Cyber Intelligence Track focuses on AI applications in information security, with core courses in Information Security, Security Intelligence, Data Mining, and ML.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 139, "language": "English", "was_translated": false }, { "text": "ion security, with core courses in Information Security, Security Intelligence, Data Mining, and ML. The Human-Computer Interaction and AI Application Development Track focuses on building user interfaces, web applications, and AI interaction tools, with core courses in HCI, Web Development, Virtual Reality, Brain-Computer Interaction, and Intelligent Multimedia Systems.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 140, "language": "English", "was_translated": false }, { "text": "I, Web Development, Virtual Reality, Brain-Computer Interaction, and Intelligent Multimedia Systems.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 141, "language": "English", "was_translated": false }, { "text": "AI and Data Science Career Opportunities in Jordan Jordan is quietly but steadily building one of the most promising technology ecosystems in the Arab world.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 1, "language": "English", "was_translated": false }, { "text": "is quietly but steadily building one of the most promising technology ecosystems in the Arab world. With a young, digitally literate population, a growing number of AI and data science university programs, and increasing investment from both the public and private sectors, the country is generating real demand for skilled professionals in artificial intelligence and data science.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 2, "language": "English", "was_translated": false }, { "text": "try is generating real demand for skilled professionals in artificial intelligence and data science. Students graduating today with degrees in these fields are entering a job market that, while still maturing, is actively looking for the talent they bring.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 3, "language": "English", "was_translated": false }, { "text": "are entering a job market that, while still maturing, is actively looking for the talent they bring. This document outlines the key career opportunities available to AI and Data Science graduates in Jordan, covering role definitions, required skills, tools and technologies, typical responsibilities, career progression, and realistic salary expectations based on the local market.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 4, "language": "English", "was_translated": false }, { "text": "l responsibilities, career progression, and realistic salary expectations based on the local market. Data Scientist A Data Scientist is a professional who uses statistical methods, machine learning techniques, and programming skills to extract meaningful insights from large and complex datasets.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 5, "language": "English", "was_translated": false }, { "text": "g techniques, and programming skills to extract meaningful insights from large and complex datasets. In the Jordanian context, Data Scientists are increasingly sought after by banks, telecom companies, healthcare providers, e-commerce platforms, and government agencies that are beginning to invest seriously in data-driven decision making.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 6, "language": "English", "was_translated": false }, { "text": "orms, and government agencies that are beginning to invest seriously in data-driven decision making. The role sits at the intersection of mathematics, computer science, and business strategy, making it one of the most versatile and high-impact positions in the tech industry today.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 7, "language": "English", "was_translated": false }, { "text": "strategy, making it one of the most versatile and high-impact positions in the tech industry today. To work effectively as a Data Scientist, a strong foundation in statistics and probability is essential, alongside proficiency in Python and its data science ecosystem, which includes libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 8, "language": "English", "was_translated": false }, { "text": "ata science ecosystem, which includes libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib. Knowledge of machine learning algorithms from linear regression and decision trees to ensemble methods and neural networks is expected at even the junior level.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 9, "language": "English", "was_translated": false }, { "text": "ion and decision trees to ensemble methods and neural networks is expected at even the junior level. Data Scientists also need to be comfortable with SQL for querying relational databases, and many roles in Jordan require familiarity with cloud platforms such as AWS, Google Cloud, or Microsoft Azure.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 10, "language": "English", "was_translated": false }, { "text": "es in Jordan require familiarity with cloud platforms such as AWS, Google Cloud, or Microsoft Azure. Business communication skills are equally important, as translating technical findings into actionable recommendations for non-technical stakeholders is a core part of the job.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 11, "language": "English", "was_translated": false }, { "text": "l findings into actionable recommendations for non-technical stakeholders is a core part of the job. On a day-to-day basis, a Data Scientist in Jordan might be cleaning and preprocessing raw data from customer transactions, building predictive models to forecast sales or detect fraud, running A/B experiments to evaluate product changes, and presenting dashboards to senior management.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 12, "language": "English", "was_translated": false }, { "text": "running A/B experiments to evaluate product changes, and presenting dashboards to senior management. Career growth in this field typically follows a path from junior data analyst or associate data scientist to mid-level data scientist, then to senior data scientist, and eventually to roles like Lead Data Scientist, Head of Data, or Chief Data Officer.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 13, "language": "English", "was_translated": false }, { "text": "ta scientist, and eventually to roles like Lead Data Scientist, Head of Data, or Chief Data Officer. In terms of compensation, entry-level Data Scientists in Jordan can expect to earn in the range of 800 to 1,200 Jordanian Dinars per month.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 14, "language": "English", "was_translated": false }, { "text": "ata Scientists in Jordan can expect to earn in the range of 800 to 1,200 Jordanian Dinars per month.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 15, "language": "English", "was_translated": false }, { "text": "Those with three to five years of experience typically command between 1,400 and 2,000 JOD per month, while senior professionals with six or more years and a proven track record can reach salaries of 2,000 to 2,600 JOD per month or higher at large corporations or multinational firms operating in the country.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 16, "language": "English", "was_translated": false }, { "text": "2,600 JOD per month or higher at large corporations or multinational firms operating in the country. AI Engineer An AI Engineer is responsible for designing, building, and deploying artificial intelligence systems and models that can be integrated into real-world products and services.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 17, "language": "English", "was_translated": false }, { "text": "ficial intelligence systems and models that can be integrated into real-world products and services. Unlike a Data Scientist who is often focused on research and analysis, an AI Engineer is more engineering-oriented, ensuring that AI models are scalable, reliable, and production-ready.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 18, "language": "English", "was_translated": false }, { "text": "is more engineering-oriented, ensuring that AI models are scalable, reliable, and production-ready. In Jordan, this role is becoming increasingly relevant as companies in fintech, healthtech, and smart government initiatives begin to move beyond experimentation and into actual AI deployment at scale.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 19, "language": "English", "was_translated": false }, { "text": "government initiatives begin to move beyond experimentation and into actual AI deployment at scale. The core technical skills required for an AI Engineer include proficiency in Python and deep learning frameworks such as TensorFlow and PyTorch.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 20, "language": "English", "was_translated": false }, { "text": "Engineer include proficiency in Python and deep learning frameworks such as TensorFlow and PyTorch. Knowledge of model optimization, deployment pipelines, and containerization tools like Docker and Kubernetes is important for making AI systems work in production environments.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 21, "language": "English", "was_translated": false }, { "text": "tools like Docker and Kubernetes is important for making AI systems work in production environments. Familiarity with REST APIs, microservices architecture, and cloud infrastructure is also expected, as most AI applications today are cloud-hosted.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 22, "language": "English", "was_translated": false }, { "text": "itecture, and cloud infrastructure is also expected, as most AI applications today are cloud-hosted. Additionally, understanding of data engineering principles and the ability to work with large-scale data pipelines are highly valued by employers in Jordan's growing tech sector.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 23, "language": "English", "was_translated": false }, { "text": "work with large-scale data pipelines are highly valued by employers in Jordan's growing tech sector. The typical career path for an AI Engineer in Jordan starts at a junior level, often overlapping with software development roles, before moving into specialized AI engineering positions.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 24, "language": "English", "was_translated": false }, { "text": "verlapping with software development roles, before moving into specialized AI engineering positions. Mid-level engineers take ownership of entire AI subsystems, while senior engineers lead architectural decisions and mentor junior team members. Salary expectations for AI Engineers in Jordan reflect the specialized and hands-on nature of the role.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 25, "language": "English", "was_translated": false }, { "text": "ary expectations for AI Engineers in Jordan reflect the specialized and hands-on nature of the role. A junior AI Engineer with less than two years of experience might start at 600 to 1,000 JOD per month, particularly in smaller startups or early-stage companies. At the mid-level, with three to five years of experience, salaries typically range from 1,200 to 1,800 JOD per month.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 26, "language": "English", "was_translated": false }, { "text": "with three to five years of experience, salaries typically range from 1,200 to 1,800 JOD per month. Senior AI Engineers with six or more years of experience and strong deployment expertise can earn between 1,800 and 2,800 JOD per month, especially in established technology firms or companies with significant AI infrastructure needs.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 27, "language": "English", "was_translated": false }, { "text": "h, especially in established technology firms or companies with significant AI infrastructure needs. Machine Learning Engineer A Machine Learning Engineer occupies a unique space between data science and software engineering, focusing specifically on building, optimizing, and maintaining machine learning models and the systems that support them.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 28, "language": "English", "was_translated": false }, { "text": "on building, optimizing, and maintaining machine learning models and the systems that support them. While a Data Scientist might develop a model in a research notebook, a Machine Learning Engineer ensures that model can handle real traffic, integrates seamlessly with the broader application, and continues performing well over time.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 29, "language": "English", "was_translated": false }, { "text": "raffic, integrates seamlessly with the broader application, and continues performing well over time. In Jordan, this role is particularly valued in tech startups, fintech companies, and organizations working on natural language processing, recommendation systems, or computer vision.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 30, "language": "English", "was_translated": false }, { "text": "nd organizations working on natural language processing, recommendation systems, or computer vision. Machine Learning Engineers need a deep understanding of machine learning algorithms and model training pipelines, as well as software engineering best practices.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 31, "language": "English", "was_translated": false }, { "text": "ne learning algorithms and model training pipelines, as well as software engineering best practices. Tools commonly used in this role include Python, Scikit-learn, TensorFlow, PyTorch, and MLflow for experiment tracking and model management. Familiarity with feature engineering, hyperparameter tuning, model versioning, and A/B testing is essential.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 32, "language": "English", "was_translated": false }, { "text": "ity with feature engineering, hyperparameter tuning, model versioning, and A/B testing is essential. More advanced practitioners also work with distributed training frameworks such as Apache Spark or Ray, particularly when working with very large datasets.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 33, "language": "English", "was_translated": false }, { "text": "training frameworks such as Apache Spark or Ray, particularly when working with very large datasets. The responsibilities of a Machine Learning Engineer in a typical Jordanian company include collaborating with data scientists to productionize models, monitoring model performance and handling model drift, automating retraining pipelines, and optimizing inference speed and memory usage.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 34, "language": "English", "was_translated": false }, { "text": "dling model drift, automating retraining pipelines, and optimizing inference speed and memory usage. Career progression moves from junior ML Engineer to senior ML Engineer and eventually to roles like ML Platform Lead or Head of Machine Learning. Salary ranges in Jordan for this role are competitive. Entry-level positions typically start between 700 and 1,100 JOD per month.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 35, "language": "English", "was_translated": false }, { "text": "his role are competitive. Entry-level positions typically start between 700 and 1,100 JOD per month. Mid-level professionals earn approximately 1,300 to 2,000 JOD per month, while senior Machine Learning Engineers with strong production experience can expect salaries in the range of 2,000 to 3,000 JOD per month at well-funded companies or international organizations with offices in Jordan.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 36, "language": "English", "was_translated": false }, { "text": "3,000 JOD per month at well-funded companies or international organizations with offices in Jordan. Data Analyst A Data Analyst is focused on interpreting data to help organizations make better decisions, typically working with structured datasets to identify trends, patterns, and anomalies.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 37, "language": "English", "was_translated": false }, { "text": "r decisions, typically working with structured datasets to identify trends, patterns, and anomalies. This role is one of the most in-demand positions across all industries in Jordan today, including banking, retail, telecommunications, healthcare, and the public sector.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 38, "language": "English", "was_translated": false }, { "text": "s in Jordan today, including banking, retail, telecommunications, healthcare, and the public sector. Data Analysts are often the first data-specific hire at smaller companies, and they play a crucial role in bridging the gap between raw data and business understanding.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 39, "language": "English", "was_translated": false }, { "text": "anies, and they play a crucial role in bridging the gap between raw data and business understanding. The primary skills required for a Data Analyst are proficiency in SQL for data querying, Excel for basic analysis and reporting, and visualization tools such as Power BI or Tableau for building dashboards and reports.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 40, "language": "English", "was_translated": false }, { "text": "reporting, and visualization tools such as Power BI or Tableau for building dashboards and reports. Python is increasingly expected even at the analyst level, particularly for automating reports and performing more complex analyses.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 41, "language": "English", "was_translated": false }, { "text": "even at the analyst level, particularly for automating reports and performing more complex analyses. An understanding of basic statistics, data cleaning techniques, and the ability to communicate findings clearly to non-technical audiences are also essential competencies for this role.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 42, "language": "English", "was_translated": false }, { "text": "mmunicate findings clearly to non-technical audiences are also essential competencies for this role. In terms of day-to-day work, a Data Analyst in a Jordanian bank or telecom company might spend their time pulling reports from databases, building monthly dashboards for management, investigating data quality issues, and working with business teams to define KPIs and metrics.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 43, "language": "English", "was_translated": false }, { "text": "ment, investigating data quality issues, and working with business teams to define KPIs and metrics. The career path for a Data Analyst typically progresses from junior analyst to senior analyst, and from there, branching either toward management as a Data Analytics Manager or toward more technical specializations such as Data Science or Business Intelligence.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 44, "language": "English", "was_translated": false }, { "text": "tics Manager or toward more technical specializations such as Data Science or Business Intelligence. Salary-wise, junior Data Analysts in Jordan typically earn between 500 and 800 JOD per month. With three to five years of experience, salaries range from 900 to 1,400 JOD per month.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 45, "language": "English", "was_translated": false }, { "text": "D per month. With three to five years of experience, salaries range from 900 to 1,400 JOD per month. Senior Data Analysts with specialized domain knowledge and strong visualization skills can earn 1,400 to 1,900 JOD per month, particularly in large financial institutions or international organizations operating in Jordan.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 46, "language": "English", "was_translated": false }, { "text": "th, particularly in large financial institutions or international organizations operating in Jordan. AI Researcher An AI Researcher is someone who works on advancing the theoretical and practical foundations of artificial intelligence, often through academic publications, experimental studies, and the development of novel algorithms or architectures.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 47, "language": "English", "was_translated": false }, { "text": "ademic publications, experimental studies, and the development of novel algorithms or architectures. In Jordan, this role is primarily based at universities such as the University of Jordan, Jordan University of Science and Technology (JUST), and the German Jordanian University, as well as at research centers and, increasingly, at larger technology companies with dedicated R&D functions.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 48, "language": "English", "was_translated": false }, { "text": "at research centers and, increasingly, at larger technology companies with dedicated R&D functions. While it is one of the less common roles in the current Jordanian market, interest in research-oriented AI careers is growing, especially among students pursuing graduate-level education.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 49, "language": "English", "was_translated": false }, { "text": "esearch-oriented AI careers is growing, especially among students pursuing graduate-level education. To become an AI Researcher, a strong academic background is typically required, usually a Master's or PhD in Computer Science, Mathematics, or a related field with a focus on machine learning or AI. Deep knowledge of linear algebra, calculus, probability theory, and optimization is fundamental.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 50, "language": "English", "was_translated": false }, { "text": "AI. Deep knowledge of linear algebra, calculus, probability theory, and optimization is fundamental. Researchers are expected to be fluent in Python and familiar with deep learning frameworks, and they must be capable of reading, reproducing, and extending the results of published papers.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 51, "language": "English", "was_translated": false }, { "text": "ks, and they must be capable of reading, reproducing, and extending the results of published papers. Skills in scientific writing and the ability to present complex ideas clearly are also important for participating in the global research community.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 52, "language": "English", "was_translated": false }, { "text": "present complex ideas clearly are also important for participating in the global research community. Responsibilities in a research role include conducting literature reviews, designing and running experiments, analyzing results, and writing papers for publication in academic conferences or journals.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 53, "language": "English", "was_translated": false }, { "text": "eriments, analyzing results, and writing papers for publication in academic conferences or journals. In industry research settings, researchers may also be tasked with translating new findings into prototype applications or advising product teams.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 54, "language": "English", "was_translated": false }, { "text": "also be tasked with translating new findings into prototype applications or advising product teams. The career path for an AI Researcher in Jordan often leads to senior researcher positions, faculty roles, or transitions into applied AI engineering at technology companies.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 55, "language": "English", "was_translated": false }, { "text": "archer positions, faculty roles, or transitions into applied AI engineering at technology companies. Salary expectations for AI Researchers in Jordan are somewhat different from other roles, as many positions are tied to academic contracts or research grants. University-based positions might offer 800 to 1,500 JOD per month depending on rank and funding.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 56, "language": "English", "was_translated": false }, { "text": "ts. University-based positions might offer 800 to 1,500 JOD per month depending on rank and funding. Industry research roles at well-funded companies typically range from 1,500 to 2,500 JOD per month for experienced researchers.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 57, "language": "English", "was_translated": false }, { "text": "well-funded companies typically range from 1,500 to 2,500 JOD per month for experienced researchers. Business Intelligence Analyst A Business Intelligence (BI) Analyst is a specialist who focuses on transforming business data into strategic insights through the use of reporting tools, dashboards, and data modeling.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 58, "language": "English", "was_translated": false }, { "text": "ness data into strategic insights through the use of reporting tools, dashboards, and data modeling. While their work overlaps with that of a Data Analyst, BI Analysts tend to focus more on enterprise reporting systems, structured data warehouses, and organizational KPI frameworks.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 59, "language": "English", "was_translated": false }, { "text": "more on enterprise reporting systems, structured data warehouses, and organizational KPI frameworks. In Jordan, BI roles are prevalent in banking, insurance, large retail chains, and government entities that need ongoing visibility into their operational and financial performance.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 60, "language": "English", "was_translated": false }, { "text": "d government entities that need ongoing visibility into their operational and financial performance. The key tools in a BI Analyst's toolkit include Power BI, Tableau, and Qlik for visualization, as well as SQL and data warehousing platforms such as Microsoft SQL Server, Oracle, or SAP.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 61, "language": "English", "was_translated": false }, { "text": "ization, as well as SQL and data warehousing platforms such as Microsoft SQL Server, Oracle, or SAP. Understanding of OLAP (Online Analytical Processing) concepts, dimensional data modeling (star and snowflake schemas), and ETL (Extract, Transform, Load) processes is expected.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 62, "language": "English", "was_translated": false }, { "text": "ata modeling (star and snowflake schemas), and ETL (Extract, Transform, Load) processes is expected. Many employers in Jordan also look for familiarity with Microsoft Excel at an advanced level, as well as basic knowledge of DAX or MDX query languages used within BI platforms.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 63, "language": "English", "was_translated": false }, { "text": "n advanced level, as well as basic knowledge of DAX or MDX query languages used within BI platforms. On a typical day, a BI Analyst working in a Jordanian commercial bank might be maintaining a suite of executive dashboards, building new reports based on business requests, ensuring data integrity across reporting systems, and coordinating with IT teams to resolve data pipeline issues.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 64, "language": "English", "was_translated": false }, { "text": "integrity across reporting systems, and coordinating with IT teams to resolve data pipeline issues. The career trajectory for this role often leads toward BI Manager, Data Warehouse Architect, or broader Data Management leadership positions. Salaries for BI Analysts in Jordan start around 600 to 900 JOD per month at the junior level.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 65, "language": "English", "was_translated": false }, { "text": "tions. Salaries for BI Analysts in Jordan start around 600 to 900 JOD per month at the junior level. Mid-level professionals earn between 1,000 and 1,500 JOD per month, while senior BI Analysts or BI Managers with extensive experience in enterprise platforms typically earn 1,500 to 2,200 JOD per month.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 66, "language": "English", "was_translated": false }, { "text": "agers with extensive experience in enterprise platforms typically earn 1,500 to 2,200 JOD per month. Data Engineer A Data Engineer is the professional responsible for designing, building, and maintaining the infrastructure that makes data accessible and usable for analysts and data scientists.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 67, "language": "English", "was_translated": false }, { "text": "intaining the infrastructure that makes data accessible and usable for analysts and data scientists. Without Data Engineers, organizations would struggle to collect, store, and process the data that feeds their analytical and AI capabilities.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 68, "language": "English", "was_translated": false }, { "text": "ld struggle to collect, store, and process the data that feeds their analytical and AI capabilities. In Jordan, demand for Data Engineers is rising in tandem with the broader adoption of cloud computing and big data technologies, particularly in sectors like banking, logistics, and e-commerce that deal with high transaction volumes.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 69, "language": "English", "was_translated": false }, { "text": "icularly in sectors like banking, logistics, and e-commerce that deal with high transaction volumes. Data Engineers need strong skills in SQL and NoSQL databases, Python or Scala for pipeline development, and big data processing frameworks such as Apache Spark and Apache Kafka.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 70, "language": "English", "was_translated": false }, { "text": "for pipeline development, and big data processing frameworks such as Apache Spark and Apache Kafka. Familiarity with cloud platforms particularly AWS, Azure, or Google Cloud is increasingly important, as most modern data infrastructure is cloud-based.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 71, "language": "English", "was_translated": false }, { "text": "Azure, or Google Cloud is increasingly important, as most modern data infrastructure is cloud-based. Experience with orchestration tools like Apache Airflow, data warehousing solutions such as Snowflake or BigQuery, and version control systems like Git are also expected competencies.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 72, "language": "English", "was_translated": false }, { "text": "such as Snowflake or BigQuery, and version control systems like Git are also expected competencies.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 73, "language": "English", "was_translated": false }, { "text": "The typical responsibilities of a Data Engineer in Jordan include designing data pipelines to move and transform data from source systems to data warehouses, ensuring data quality and reliability, optimizing query performance, and collaborating with Data Scientists and BI Analysts to understand their data needs.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 74, "language": "English", "was_translated": false }, { "text": "performance, and collaborating with Data Scientists and BI Analysts to understand their data needs. This is a highly technical role with a clear career path: from junior data engineer to senior data engineer, and then to roles like Data Architect or Head of Data Engineering. Salary expectations reflect the technical depth required.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 75, "language": "English", "was_translated": false }, { "text": "ata Architect or Head of Data Engineering. Salary expectations reflect the technical depth required. Junior Data Engineers in Jordan typically earn 700 to 1,100 JOD per month. At the mid-level, compensation ranges from 1,200 to 1,800 JOD per month. Senior Data Engineers with expertise in cloud architecture and large-scale data systems can earn between 1,800 and 2,700 JOD per month.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 76, "language": "English", "was_translated": false }, { "text": "e in cloud architecture and large-scale data systems can earn between 1,800 and 2,700 JOD per month. AI Ethics Specialist An AI Ethics Specialist is a professional who ensures that artificial intelligence systems are developed and deployed in ways that are fair, transparent, accountable, and aligned with societal values.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 77, "language": "English", "was_translated": false }, { "text": "oped and deployed in ways that are fair, transparent, accountable, and aligned with societal values. This is an emerging role globally and even more so in Jordan, but its importance is growing rapidly as AI systems begin to influence decisions in areas such as hiring, lending, healthcare, and law enforcement.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 78, "language": "English", "was_translated": false }, { "text": "tems begin to influence decisions in areas such as hiring, lending, healthcare, and law enforcement. Universities, regulatory bodies, and forward-thinking technology companies in Jordan are starting to recognize the need for dedicated expertise in this area.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 79, "language": "English", "was_translated": false }, { "text": "hnology companies in Jordan are starting to recognize the need for dedicated expertise in this area. The skills required for an AI Ethics Specialist are interdisciplinary, combining technical knowledge of how AI systems work with expertise in ethics, law, policy, and social science.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 80, "language": "English", "was_translated": false }, { "text": "echnical knowledge of how AI systems work with expertise in ethics, law, policy, and social science. Understanding of algorithmic bias, fairness metrics, explainability techniques (such as SHAP or LIME), and privacy-preserving technologies like federated learning is important on the technical side.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 81, "language": "English", "was_translated": false }, { "text": "ME), and privacy-preserving technologies like federated learning is important on the technical side. On the non-technical side, the ability to engage with legal frameworks, draft ethical guidelines, conduct stakeholder consultations, and communicate risk clearly to both technical and non-technical audiences is equally essential.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 82, "language": "English", "was_translated": false }, { "text": "ns, and communicate risk clearly to both technical and non-technical audiences is equally essential. In practice, an AI Ethics Specialist in a Jordanian government agency or large financial institution might be reviewing AI models for bias before deployment, developing internal AI governance frameworks, advising on regulatory compliance, and educating employees about responsible AI practices.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 83, "language": "English", "was_translated": false }, { "text": "ameworks, advising on regulatory compliance, and educating employees about responsible AI practices. The career path for this role is still being defined, but it typically leads to senior policy advisor positions, AI governance leadership roles, or academic positions. Since the role is still emerging in Jordan, salary ranges are somewhat variable.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 84, "language": "English", "was_translated": false }, { "text": "academic positions. Since the role is still emerging in Jordan, salary ranges are somewhat variable.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 85, "language": "English", "was_translated": false }, { "text": "Entry-level positions with a technical or legal background can expect 700 to 1,100 JOD per month, mid-level professionals earn around 1,200 to 1,800 JOD per month, and those in senior advisory or leadership roles can earn 1,800 to 2,500 JOD per month, especially in international organizations or well-funded public institutions.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 86, "language": "English", "was_translated": false }, { "text": "o 2,500 JOD per month, especially in international organizations or well-funded public institutions. Natural Language Processing (NLP) Engineer A Natural Language Processing Engineer specializes in building systems that understand, interpret, and generate human language.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 87, "language": "English", "was_translated": false }, { "text": "ng Engineer specializes in building systems that understand, interpret, and generate human language. With the rise of large language models and conversational AI tools globally, NLP has become one of the fastest-growing specializations within AI.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 88, "language": "English", "was_translated": false }, { "text": "nversational AI tools globally, NLP has become one of the fastest-growing specializations within AI. In Jordan, there is a particularly interesting opportunity in Arabic NLP developing language models, chatbots, sentiment analysis tools, and speech recognition systems that work effectively in Arabic, including the Modern Standard Arabic and Ammiya (Jordanian dialect) variants.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 89, "language": "English", "was_translated": false }, { "text": "effectively in Arabic, including the Modern Standard Arabic and Ammiya (Jordanian dialect) variants. Local companies and government entities that want to serve Arabic-speaking customers are increasingly willing to invest in this expertise. NLP Engineers need a solid understanding of linguistics alongside machine learning and deep learning.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 90, "language": "English", "was_translated": false }, { "text": "LP Engineers need a solid understanding of linguistics alongside machine learning and deep learning. Familiarity with pre-trained language models such as BERT, GPT-variants, and AraBERT (for Arabic) is expected, along with experience in fine-tuning these models for specific downstream tasks. Python libraries such as Hugging Face Transformers, SpaCy, and NLTK are standard tools in this field.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 91, "language": "English", "was_translated": false }, { "text": "ython libraries such as Hugging Face Transformers, SpaCy, and NLTK are standard tools in this field. Knowledge of text preprocessing, tokenization strategies, named entity recognition, and sequence-to-sequence modeling is also important for building robust NLP pipelines.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 92, "language": "English", "was_translated": false }, { "text": "recognition, and sequence-to-sequence modeling is also important for building robust NLP pipelines.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 93, "language": "English", "was_translated": false }, { "text": "Typical responsibilities for an NLP Engineer in Jordan include building and fine-tuning text classification or named entity recognition models, developing chatbot systems for customer service applications, building Arabic language datasets for training, and integrating NLP APIs into larger software products.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 94, "language": "English", "was_translated": false }, { "text": "lding Arabic language datasets for training, and integrating NLP APIs into larger software products. The career path moves from junior NLP Engineer to senior specialist roles and eventually to NLP Research Lead or AI Product Lead positions. Salary-wise, junior NLP Engineers in Jordan can expect to earn 700 to 1,100 JOD per month.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 95, "language": "English", "was_translated": false }, { "text": "ositions. Salary-wise, junior NLP Engineers in Jordan can expect to earn 700 to 1,100 JOD per month. Mid-level professionals typically earn 1,300 to 2,000 JOD per month, while senior NLP Engineers with expertise in Arabic language models and production deployments can command 2,000 to 3,000 JOD per month at well-resourced companies.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 96, "language": "English", "was_translated": false }, { "text": "els and production deployments can command 2,000 to 3,000 JOD per month at well-resourced companies. Computer Vision Engineer A Computer Vision Engineer builds systems that enable machines to interpret and understand visual information from images and video.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 97, "language": "English", "was_translated": false }, { "text": "s systems that enable machines to interpret and understand visual information from images and video. This specialization has a wide range of applications in Jordan, including smart surveillance systems, medical image analysis, quality control in manufacturing, facial recognition for access control, and autonomous vehicle research.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 98, "language": "English", "was_translated": false }, { "text": "ty control in manufacturing, facial recognition for access control, and autonomous vehicle research. The Jordanian defense and security sector has historically been an adopter of computer vision technologies, and healthcare institutions are beginning to explore AI-powered diagnostic imaging tools.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 99, "language": "English", "was_translated": false }, { "text": "hnologies, and healthcare institutions are beginning to explore AI-powered diagnostic imaging tools. The technical toolkit for a Computer Vision Engineer includes Python, OpenCV, TensorFlow, and PyTorch, along with deep learning architectures specifically designed for visual data such as Convolutional Neural Networks (CNNs), YOLO for object detection, and U-Net for image segmentation.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 100, "language": "English", "was_translated": false }, { "text": "s Convolutional Neural Networks (CNNs), YOLO for object detection, and U-Net for image segmentation. Knowledge of image preprocessing techniques, data augmentation strategies, and model optimization for edge deployment (such as on embedded devices or cameras) is also valued. Experience with annotation tools and building or curating image datasets is an important practical skill in this field.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 101, "language": "English", "was_translated": false }, { "text": "otation tools and building or curating image datasets is an important practical skill in this field. In a typical Jordanian context, a Computer Vision Engineer might work on building a retail analytics system that counts customers and tracks movement patterns, developing a medical imaging tool to assist radiologists, or creating quality inspection software for a manufacturing plant.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 102, "language": "English", "was_translated": false }, { "text": "ging tool to assist radiologists, or creating quality inspection software for a manufacturing plant. Career progression follows a path from junior engineer to senior engineer and then to roles like Computer Vision Lead or AI Product Engineer.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 103, "language": "English", "was_translated": false }, { "text": "nior engineer to senior engineer and then to roles like Computer Vision Lead or AI Product Engineer.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 104, "language": "English", "was_translated": false }, { "text": "Salary expectations for this specialization are similar to those of other specialized AI engineers: entry-level positions pay between 700 and 1,100 JOD per month, mid-level roles pay 1,300 to 2,000 JOD per month, and senior professionals with strong domain experience can earn 2,000 to 3,000 JOD per month or more in well-funded organizations.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 105, "language": "English", "was_translated": false }, { "text": "strong domain experience can earn 2,000 to 3,000 JOD per month or more in well-funded organizations. MLOps Engineer and AI Infrastructure Specialist MLOps, short for Machine Learning Operations, is a discipline that combines machine learning, DevOps, and data engineering to streamline the process of deploying and maintaining machine learning models in production.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 106, "language": "English", "was_translated": false }, { "text": "eering to streamline the process of deploying and maintaining machine learning models in production. An MLOps Engineer or AI Infrastructure Specialist focuses on building the tools, platforms, and workflows that allow data science and AI teams to ship models faster, monitor them in production, and retrain them efficiently as conditions change.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 107, "language": "English", "was_translated": false }, { "text": "o ship models faster, monitor them in production, and retrain them efficiently as conditions change. This is a relatively new but rapidly growing specialization in Jordan, particularly in companies that have already built initial AI capabilities and are now looking to scale and operationalize them.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 108, "language": "English", "was_translated": false }, { "text": "hat have already built initial AI capabilities and are now looking to scale and operationalize them.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 109, "language": "English", "was_translated": false }, { "text": "Core skills for an MLOps Engineer include proficiency with CI/CD tools (like GitHub Actions or Jenkins), containerization with Docker and orchestration with Kubernetes, cloud platforms (AWS SageMaker, Azure ML, or Google Vertex AI), and ML experiment tracking tools like MLflow or Weights and Biases.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 110, "language": "English", "was_translated": false }, { "text": "Azure ML, or Google Vertex AI), and ML experiment tracking tools like MLflow or Weights and Biases. Knowledge of infrastructure-as-code tools such as Terraform and experience with monitoring and logging systems (Prometheus, Grafana) are also highly valuable. A strong understanding of both software engineering and machine learning workflows is essential for being effective in this role.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 111, "language": "English", "was_translated": false }, { "text": "h software engineering and machine learning workflows is essential for being effective in this role. Responsibilities include setting up automated training and deployment pipelines, monitoring model performance and data drift in production, managing model registries, and ensuring reproducibility of experiments.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 112, "language": "English", "was_translated": false }, { "text": "nd data drift in production, managing model registries, and ensuring reproducibility of experiments. In Jordan, MLOps Engineers are in high demand at companies that are scaling their data and AI teams, including telecom providers, fintech startups, and large retail groups.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 113, "language": "English", "was_translated": false }, { "text": "ing their data and AI teams, including telecom providers, fintech startups, and large retail groups. The career path leads from MLOps Engineer to Senior MLOps Engineer and eventually to Platform Engineering Lead or Head of AI Infrastructure.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 114, "language": "English", "was_translated": false }, { "text": "r to Senior MLOps Engineer and eventually to Platform Engineering Lead or Head of AI Infrastructure. Salaries for this role start at 800 to 1,200 JOD per month at the entry level, rise to 1,500 to 2,200 JOD per month at mid-level, and can reach 2,200 to 3,200 JOD per month for senior professionals with deep cloud and platform expertise.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 115, "language": "English", "was_translated": false }, { "text": "reach 2,200 to 3,200 JOD per month for senior professionals with deep cloud and platform expertise. The Broader Landscape: Jordan's Growing AI Ecosystem Jordan's technology sector is supported by a growing ecosystem of accelerators, incubators, venture capital funds, and government-backed digital transformation initiatives.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 116, "language": "English", "was_translated": false }, { "text": "rators, incubators, venture capital funds, and government-backed digital transformation initiatives. Programs like Reach, Oasis500, and the King Abdullah II Fund for Development have helped nurture tech startups that are increasingly data-driven and AI-powered.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 117, "language": "English", "was_translated": false }, { "text": "for Development have helped nurture tech startups that are increasingly data-driven and AI-powered. Major international companies, including Microsoft, Amazon Web Services, and various multinational consultancies, have regional presences in Amman, creating additional employment pathways for AI and Data Science graduates.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 118, "language": "English", "was_translated": false }, { "text": "ional presences in Amman, creating additional employment pathways for AI and Data Science graduates. The Greater Amman area, and particularly areas like Abdali and the Abdoun tech corridor, have seen a notable increase in tech office spaces and startup hubs in recent years.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 119, "language": "English", "was_translated": false }, { "text": "tech corridor, have seen a notable increase in tech office spaces and startup hubs in recent years. It is worth noting that salaries in Jordan's AI and data market have been rising steadily as competition for skilled professionals intensifies.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 120, "language": "English", "was_translated": false }, { "text": "s AI and data market have been rising steadily as competition for skilled professionals intensifies. Companies that previously offered lower salaries are finding it increasingly difficult to attract and retain talent, particularly as remote work has opened up global opportunities for Jordanian professionals.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 121, "language": "English", "was_translated": false }, { "text": "talent, particularly as remote work has opened up global opportunities for Jordanian professionals. Many graduates choose to work for international companies remotely while remaining based in Jordan, which has the effect of pulling average salaries upward in the local market.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 122, "language": "English", "was_translated": false }, { "text": "aining based in Jordan, which has the effect of pulling average salaries upward in the local market. Students graduating from AI and Data Science programs today are in a genuinely strong position, particularly if they combine strong technical skills with the ability to communicate and apply their knowledge in real business contexts.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 123, "language": "English", "was_translated": false }, { "text": "echnical skills with the ability to communicate and apply their knowledge in real business contexts. For students and recent graduates, the most important thing is to build a portfolio of real projects, contribute to open-source work, and gain hands-on experience through internships or freelance work during their studies. Certifications from platforms like Coursera, DeepLearning.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 124, "language": "English", "was_translated": false }, { "text": "s or freelance work during their studies. Certifications from platforms like Coursera, DeepLearning.AI, and AWS can supplement formal university education and signal practical competence to employers.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 125, "language": "English", "was_translated": false }, { "text": "AI, and AWS can supplement formal university education and signal practical competence to employers. Jordan's AI and Data Science career landscape is still maturing, but the trajectory is clearly upward, and those who invest early in building strong, practical skills will find themselves well-positioned to grow alongside the industry.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 126, "language": "English", "was_translated": false }, { "text": "ilding strong, practical skills will find themselves well-positioned to grow alongside the industry.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 127, "language": "English", "was_translated": false }, { "text": "Course Records Course: Advanced Databases Semester: Fall 2025/2026 Grades: D = 70 Source: KASIT Team Language: English Course: Advanced Networking Semester: Fall 2025/2026 Grades: A = 92 Source: KASIT Team Language: English Course: Advanced Programming Semester: Fall 2025/2026 Grades: A = 91; B+ = 81 Source: KASIT Team Language: English Course: Advanced Software Semester: Fall 2025/2026 Grades: A", "source": "course records.docx", "chunk_id": 1, "language": "English", "was_translated": false }, { "text": "81 Source: KASIT Team Language: English Course: Advanced Software Semester: Fall 2025/2026 Grades: A = 80; A- = 78; B+ = 72; D = 58 Source: KASIT Team Language: English Course: AI Programming Semester: Fall 2025/2026 Grades: A = 89; A- = 84; B = 70; B- = 66; D = 43 Source: KASIT Team Language: English Course: Algorithms Semester: Fall 2025/2026 Grades: A = 84.5; A- = 81.", "source": "course records.docx", "chunk_id": 2, "language": "English", "was_translated": false }, { "text": "KASIT Team Language: English Course: Algorithms Semester: Fall 2025/2026 Grades: A = 84.5; A- = 81.", "source": "course records.docx", "chunk_id": 3, "language": "English", "was_translated": false }, { "text": "5; B- = 64; C- = 57; D+ = 52 Source: KASIT Team Language: English Course: Applied Statistics Semester: Fall 2025/2026 Grades: A- = 91; B+ = 88; B = 75 Source: KASIT Team Language: English Course: Artificial Intelligence (AI) Semester: Fall 2025/2026 Grades: A = 80; A- = 71; B+ = 68; B- = 55; C = 48; D = 39.", "source": "course records.docx", "chunk_id": 4, "language": "English", "was_translated": false }, { "text": "ntelligence (AI) Semester: Fall 2025/2026 Grades: A = 80; A- = 71; B+ = 68; B- = 55; C = 48; D = 39.", "source": "course records.docx", "chunk_id": 5, "language": "DE", "was_translated": false }, { "text": "5 Source: KASIT Team Language: English Course: Assembly Semester: Fall 2025/2026 Grades: C = 60 Source: KASIT Team Language: English Course: Authentication & Security Models Semester: Fall 2025/2026 Grades: C+ = 72 Source: KASIT Team Language: English Course: Business Intelligence Semester: Fall 2025/2026 Grades: A- = 87 Source: KASIT Team Language: English Course: C++ Semester: Fall 2025/2026", "source": "course records.docx", "chunk_id": 6, "language": "English", "was_translated": false }, { "text": "2025/2026 Grades: A- = 87 Source: KASIT Team Language: English Course: C++ Semester: Fall 2025/2026 Grades: A = 84.25; A- = 79.5; B+ = 74; B = 69.75; B- = 63.5; C+ = 57; C = 53.5; C- = 47.75; D+ = 45.75; D = 42 Source: KASIT Team Language: English Course: Data Structures Semester: Fall 2025/2026 Grades: A = 91; A- = 82.67; B+ = 76.", "source": "course records.docx", "chunk_id": 7, "language": "English", "was_translated": false }, { "text": "guage: English Course: Data Structures Semester: Fall 2025/2026 Grades: A = 91; A- = 82.67; B+ = 76.", "source": "course records.docx", "chunk_id": 8, "language": "English", "was_translated": false }, { "text": "5; B = 71; B- = 63; C+ = 59; C- = 50 Source: KASIT Team Language: English Course: Data Mining Semester: Fall 2025/2026 Grades: A = 78; A- = 72; B+ = 67; B = 62; B- = 56; C+ = 54; C = 48; C- = 46; D+ = 44; D = 40 Source: KASIT Team Language: English Course: Machine Learning Semester: Fall 2025/2026 Grades: A- = 80; B+ = 78; B = 75 Source: KASIT Team Language: English Course: Operating Systems (OS)", "source": "course records.docx", "chunk_id": 9, "language": "English", "was_translated": false }, { "text": "Grades: A- = 80; B+ = 78; B = 75 Source: KASIT Team Language: English Course: Operating Systems (OS) Semester: Fall 2025/2026 Grades: A = 87; A- = 82; B = 74; B- = 68; C = 58; D = 42.", "source": "course records.docx", "chunk_id": 10, "language": "English", "was_translated": false }, { "text": "ting Systems (OS) Semester: Fall 2025/2026 Grades: A = 87; A- = 82; B = 74; B- = 68; C = 58; D = 42.", "source": "course records.docx", "chunk_id": 11, "language": "English", "was_translated": false }, { "text": "5 Source: KASIT Team Language: English Course: Networks Semester: Fall 2025/2026 Grades: A = 90; A- = 87; B+ = 75; B- = 61; C+ = 59; C = 51; C- = 48; D = 38 Source: KASIT Team Language: English Course: Web Security Semester: Fall 2025/2026 Grades: A = 82; A- = 75; B+ = 72; B = 70; B- = 64; C+ = 60; D = 47 Source: KASIT Team Language: English Course: Web Development 1 (Web1) Semester: Fall", "source": "course records.docx", "chunk_id": 12, "language": "English", "was_translated": false }, { "text": "C+ = 60; D = 47 Source: KASIT Team Language: English Course: Web Development 1 (Web1) Semester: Fall 2025/2026 Grades: A = 84; A- = 80; B = 71; B- = 61; C+ = 57; D = 45 Source: KASIT Team Language: English Course: Web Development 2 (Web2) Semester: Fall 2025/2026 Grades: A = 88; B+ = 77; D = 50 Source: KASIT Team Language: English Course: Special Topics in Data Science Semester: Fall 2025/2026", "source": "course records.docx", "chunk_id": 13, "language": "English", "was_translated": false }, { "text": "Source: KASIT Team Language: English Course: Special Topics in Data Science Semester: Fall 2025/2026 Grades: A = 96 Source: KASIT Team Language: English Course: الإعداد الوظيفي Semester: Fall 2025/2026 Grades: A = 92.5 Source: KASIT Team Language: Arabic", "source": "course records.docx", "chunk_id": 14, "language": "English", "was_translated": false }, { "text": "ourse: الإعداد الوظيفي Semester: Fall 2025/2026 Grades: A = 92.5 Source: KASIT Team Language: Arabic", "source": "course records.docx", "chunk_id": 15, "language": "Mixed", "was_translated": false }, { "text": "KASIT Departments and Majors Faculty: King Abdullah II School for Information Technology (KASIT) University: University of Jordan Total Credit Hours Required for Graduation: 132 Credit Hours Description: This document outlines the academic departments and majors offered at KASIT. Each major requires the successful completion of 132 credit hours to obtain a bachelor's degree.", "source": "departments nad majors.docx", "chunk_id": 1, "language": "English", "was_translated": false }, { "text": "IT. Each major requires the successful completion of 132 credit hours to obtain a bachelor's degree. Department of Computer Science Department Name: Computer Science Abbreviation: CS Faculty: KASIT Majors Offered: Computer Science (CS) Cybersecurity (CYS) Graduation Requirement: Students enrolled in any major under the Department of Computer Science must complete 132 credit hours to graduate.", "source": "departments nad majors.docx", "chunk_id": 2, "language": "English", "was_translated": false }, { "text": "ed in any major under the Department of Computer Science must complete 132 credit hours to graduate.", "source": "departments nad majors.docx", "chunk_id": 3, "language": "English", "was_translated": false }, { "text": "Department of Computer Information Systems Department Name: Computer Information Systems Abbreviation: CIS Faculty: KASIT Majors Offered: Computer Information Systems (CIS) Business Information Technology (BIT) Graduation Requirement: Students enrolled in any major under the Department of Computer Information Systems must complete 132 credit hours to graduate.", "source": "departments nad majors.docx", "chunk_id": 4, "language": "English", "was_translated": false }, { "text": "jor under the Department of Computer Information Systems must complete 132 credit hours to graduate.", "source": "departments nad majors.docx", "chunk_id": 5, "language": "English", "was_translated": false }, { "text": "Department of Artificial Intelligence Department Name: Artificial Intelligence Abbreviation: AI Faculty: KASIT Majors Offered: Artificial Intelligence (AI) Data Science (DS) Graduation Requirement: Students enrolled in any major under the Department of Artificial Intelligence must complete 132 credit hours to graduate. Summary of Departments and Majors", "source": "departments nad majors.docx", "chunk_id": 6, "language": "English", "was_translated": false }, { "text": "rtificial Intelligence must complete 132 credit hours to graduate. Summary of Departments and Majors", "source": "departments nad majors.docx", "chunk_id": 7, "language": "English", "was_translated": false }, { "text": "CHUNK 1: Computer Science (CS) Professors أ.د. عبداللطيف أبودلهوم Email: a.latif@ju.edu.jo Department: Computer Science (CS) أ. د. أحمد الشرايعة Email: sharieh@ju.edu.jo Department: Computer Science (CS) أ. د. عزام سليط Email: azzam.sleit@ju.edu.jo Department: Computer Science (CS) أ. د. باسل محافظة Email: b.mahafzah@ju.edu.jo Department: Computer Science (CS) أ.د. حازم الحياري Email: hazemh@ju.", "source": "docs_emails.docx", "chunk_id": 1, "language": "Mixed", "was_translated": false }, { "text": "ظة Email: b.mahafzah@ju.edu.jo Department: Computer Science (CS) أ.د. حازم الحياري Email: hazemh@ju.edu.jo Department: Computer Science (CS) أ. د. عماد صلاح Email: isalah@ju.edu.jo Department: Computer Science (CS) أ. د. محمد الشريدة Email: mshridah@ju.edu.jo Department: Computer Science (CS) أ. د. محمد القطاونة Email: mohd.qat@ju.edu.jo Department: Computer Science (CS) أ. د.", "source": "docs_emails.docx", "chunk_id": 2, "language": "Mixed", "was_translated": false }, { "text": "r Science (CS) أ. د. محمد القطاونة Email: mohd.qat@ju.edu.jo Department: Computer Science (CS) أ. د. محمد عبيدات Email: Obaidat@ju.edu.jo Department: Computer Science (CS) أ. د. صالح الشرايعة Email: ssharaeh@ju.edu.jo Department: Computer Science (CS) أ. د. سامي السرحان Email: samiserh@ju.edu.jo Department: Computer Science (CS) أ. د. وسام المبيضين Email: almobaideen@inf.ju.edu.", "source": "docs_emails.docx", "chunk_id": 3, "language": "Mixed", "was_translated": false }, { "text": "iserh@ju.edu.jo Department: Computer Science (CS) أ. د. وسام المبيضين Email: almobaideen@inf.ju.edu.jo Department: Computer Science (CS) CHUNK 2: Computer Science (CS) Faculty and Staff السيدة أنصار خوري Email: ansar@ju.edu.jo Department: Computer Science (CS) دة. باسمة أحمد الشقيرات Email: b.shoqurat@ju.edu.jo Department: Computer Science (CS) د. بلال أبوصالح Email: b.AbuSalih@ju.edu.", "source": "docs_emails.docx", "chunk_id": 4, "language": "Mixed", "was_translated": false }, { "text": "il: b.shoqurat@ju.edu.jo Department: Computer Science (CS) د. بلال أبوصالح Email: b.AbuSalih@ju.edu.jo Department: Computer Science (CS) دة. هبه سعاده Email: heba.saadeh@ju.edu.jo Department: Computer Science (CS) أد. إيمان المومني Email: i.momani@ju.edu.jo Department: Computer Science (CS) د. جمال محمد السكران Email: j.alsakran@ju.edu.jo Department: Computer Science (CS) أ.د.", "source": "docs_emails.docx", "chunk_id": 5, "language": "Mixed", "was_translated": false }, { "text": "Science (CS) د. جمال محمد السكران Email: j.alsakran@ju.edu.jo Department: Computer Science (CS) أ.د. خير الدين صبري Email: k.sabri@ju.edu.jo Department: Computer Science (CS) السيدة لبنى ناصر الدين Email: lubna@ju.edu.jo Department: Computer Science (CS) د. معن العساف Email: m alassaf@ju.edu.jo Department: Computer Science (CS) السيد نبيل العساف Email: n.alassaf@ju.edu.", "source": "docs_emails.docx", "chunk_id": 6, "language": "Mixed", "was_translated": false }, { "text": "il: m alassaf@ju.edu.jo Department: Computer Science (CS) السيد نبيل العساف Email: n.alassaf@ju.edu.jo Department: Computer Science (CS) د. ساهر المناصير Email: saher@ju.edu.jo Department: Computer Science (CS) دة. شريناز بدّار Email: s.baddar@ju.edu.jo Department: Computer Science (CS) د. محمد سالم العتوم Email: m.atoum@ju.edu.jo Department: Computer Science (CS) د. عريب أبو الغنم Email: O.", "source": "docs_emails.docx", "chunk_id": 7, "language": "Mixed", "was_translated": false }, { "text": "د سالم العتوم Email: m.atoum@ju.edu.jo Department: Computer Science (CS) د. عريب أبو الغنم Email: O.Abualganam@ju.edu.jo Department: Computer Science (CS) د. أحمد الحويطات Email: a.hwaitat@ju.edu.jo Department: Computer Science (CS) المهندسة عروبة عبدالله عطية البقاعين Email: a.bagaeen@ju.edu.jo Department: Computer Science (CS) د. محمد المعايعة Email: m.almaiah@ju.edu.", "source": "docs_emails.docx", "chunk_id": 8, "language": "Mixed", "was_translated": false }, { "text": "ail: a.bagaeen@ju.edu.jo Department: Computer Science (CS) د. محمد المعايعة Email: m.almaiah@ju.edu.jo Department: Computer Science (CS) CHUNK 3: Computer Information Systems (CIS) أ. د. محمد بلال الزعبي Email: mba@ju.edu.jo Department: Computer Information Systems (CIS) أ.د. عمار الحنيطي Email: a.huneiti@ju.edu.jo Department: Computer Information Systems (CIS) أ. د. بسام حمو Email: b.hammo@ju.", "source": "docs_emails.docx", "chunk_id": 9, "language": "Mixed", "was_translated": false }, { "text": "a.huneiti@ju.edu.jo Department: Computer Information Systems (CIS) أ. د. بسام حمو Email: b.hammo@ju.edu.jo Department: Computer Information Systems (CIS) د. لؤي النمر Email: l.nemer@ju.edu.jo Department: Computer Information Systems (CIS) د. محمد عبد الرحمن أبو شريعة Email: m.abushariah@ju.edu.jo Department: Computer Information Systems (CIS) د. موسى الأخرس Email: mousa.akhras@ju.edu.", "source": "docs_emails.docx", "chunk_id": 10, "language": "Mixed", "was_translated": false }, { "text": "@ju.edu.jo Department: Computer Information Systems (CIS) د. موسى الأخرس Email: mousa.akhras@ju.edu.jo Department: Computer Information Systems (CIS) أ.د. عمر العدوان Email: adwanoy@ju.edu.jo Department: Computer Information Systems (CIS) دة. رنا يوسف Email: rana.yousef@ju.edu.jo Department: Computer Information Systems (CIS) أ. د. أمجد هديب Email: ahudaib@ju.edu.", "source": "docs_emails.docx", "chunk_id": 11, "language": "Mixed", "was_translated": false }, { "text": "usef@ju.edu.jo Department: Computer Information Systems (CIS) أ. د. أمجد هديب Email: ahudaib@ju.edu.jo Department: Computer Information Systems (CIS) أ. د. فواز الزغول Email: fawaz@ju.edu.jo Department: Computer Information Systems (CIS) السيدة أصيل العناني Email: a.anani@ju.edu.jo Department: Computer Information Systems (CIS) دة. إسراء الزغول Email: e.zaghoul@ju.edu.", "source": "docs_emails.docx", "chunk_id": 12, "language": "Mixed", "was_translated": false }, { "text": "i@ju.edu.jo Department: Computer Information Systems (CIS) دة. إسراء الزغول Email: e.zaghoul@ju.edu.jo Department: Computer Information Systems (CIS) د. حمد عقاب السوالقة Email: h.sawalqah@ju.edu.jo Department: Computer Information Systems (CIS) السيدة هبة خضراوي Email: h.Khadrawi@ju.edu.jo Department: Computer Information Systems (CIS) دة. هدى كراجه Email: h.karajeh@ju.edu.", "source": "docs_emails.docx", "chunk_id": 13, "language": "Mixed", "was_translated": false }, { "text": "rawi@ju.edu.jo Department: Computer Information Systems (CIS) دة. هدى كراجه Email: h.karajeh@ju.edu.jo Department: Computer Information Systems (CIS) السيدة لما رجب Email: lama.rajab@ju.edu.jo Department: Computer Information Systems (CIS) د. مروان الطويل Email: m.alTawil@ju.edu.jo Department: Computer Information Systems (CIS) دة. ريم علي الفايز Email: r.alfayez@ju.edu.", "source": "docs_emails.docx", "chunk_id": 14, "language": "Mixed", "was_translated": false }, { "text": "ju.edu.jo Department: Computer Information Systems (CIS) دة. ريم علي الفايز Email: r.alfayez@ju.edu.jo Department: Computer Information Systems (CIS) الآنسة رولا الخالد Email: r.khalid@ju.edu.jo Department: Computer Information Systems (CIS) دة. سلسبيل فايز الفلاح Email: s.alfalah@ju.edu.jo Department: Computer Information Systems (CIS) السيدة تهاني الخطيب Email: tahani.khatib@ju.edu.", "source": "docs_emails.docx", "chunk_id": 15, "language": "Mixed", "was_translated": false }, { "text": "u.jo Department: Computer Information Systems (CIS) السيدة تهاني الخطيب Email: tahani.khatib@ju.edu.jo Department: Computer Information Systems (CIS) السيدة تمارا المراعبة Email: t.almaraabeh@ju.edu.jo Department: Computer Information Systems (CIS) السيدة ولاء قطيشات Email: walaa qutechate@yahoo.com Department: Computer Information Systems (CIS) السيد يوسف مجدلاوي Email: ymajdal@ju.edu.", "source": "docs_emails.docx", "chunk_id": 16, "language": "Mixed", "was_translated": false }, { "text": "e@yahoo.com Department: Computer Information Systems (CIS) السيد يوسف مجدلاوي Email: ymajdal@ju.edu.jo Department: Computer Information Systems (CIS) CHUNK 4: Business Information Technology (BIT) د. علي عبدالله الروضان Email: a.rodan@ju.edu.jo Department: Business Information Technology (BIT) د. بشار عوض الشبول Email: b.shboul@ju.edu.jo Department: Business Information Technology (BIT) دة.", "source": "docs_emails.docx", "chunk_id": 17, "language": "Mixed", "was_translated": false }, { "text": ") د. بشار عوض الشبول Email: b.shboul@ju.edu.jo Department: Business Information Technology (BIT) دة. دانه القضاة Email: d.qudah@ju.edu.jo Department: Business Information Technology (BIT) أ. د. حامد صقر البدور Email: h.bdour@ju.edu.jo Department: Business Information Technology (BIT) أ.د. حسام فارس Email: Hossam.faris@ju.edu.jo Department: Business Information Technology (BIT) دة.", "source": "docs_emails.docx", "chunk_id": 18, "language": "Mixed", "was_translated": false }, { "text": ") أ.د. حسام فارس Email: Hossam.faris@ju.edu.jo Department: Business Information Technology (BIT) دة. ملاك ونس الحسن Email: M Alhassan@ju.edu.jo Department: Business Information Technology (BIT) أ.د. أسامة حرفوشي Email: o.harfoushi@ju.edu.jo Department: Business Information Technology (BIT) أ.د. رزق السيد Email: r.alsayyed@ju.edu.jo Department: Business Information Technology (BIT) دة.", "source": "docs_emails.docx", "chunk_id": 19, "language": "Mixed", "was_translated": false }, { "text": "IT) أ.د. رزق السيد Email: r.alsayyed@ju.edu.jo Department: Business Information Technology (BIT) دة. ربى عبيدات Email: r.obiedat@ju.edu.jo Department: Business Information Technology (BIT) د. يزن ياسين الشمايلة Email: y.shamaileh@ju.edu.jo Department: Business Information Technology (BIT) د. ديمة سليمان Email: dima.suleiman@ju.edu.jo Department: Business Information Technology (BIT) د.", "source": "docs_emails.docx", "chunk_id": 20, "language": "Mixed", "was_translated": false }, { "text": ") د. ديمة سليمان Email: dima.suleiman@ju.edu.jo Department: Business Information Technology (BIT) د. جعفر قطاونة Email: j.alqatawna@ju.edu.jo Department: Business Information Technology (BIT) الآنسة مريم اطريق Email: m.itriq@ju.edu.jo Department: Business Information Technology (BIT) السيدة سمر السقا Email: s.alsaqqa@ju.edu.jo Department: Business Information Technology (BIT) د.", "source": "docs_emails.docx", "chunk_id": 21, "language": "Mixed", "was_translated": false }, { "text": "IT) السيدة سمر السقا Email: s.alsaqqa@ju.edu.jo Department: Business Information Technology (BIT) د. محمد الشرايعة Email: m.alsharaiah@ju.edu.jo Department: Business Information Technology (BIT) د. شريف نصر مخادمة Email: s makhadmeh@ju.edu.jo Department: Business Information Technology (BIT) د. يوسف سنجلاوي Email: y.sanjalawe@ju.edu.", "source": "docs_emails.docx", "chunk_id": 22, "language": "Mixed", "was_translated": false }, { "text": ".edu.jo Department: Business Information Technology (BIT) د. يوسف سنجلاوي Email: y.sanjalawe@ju.edu.jo Department: Business Information Technology (BIT) CHUNK 5: Artificial Intelligence (AI) د. ابراهيم الجراح Email: i.aljarah@ju.edu.jo Department: Artificial Intelligence (AI) د. مجدي صوالحة Email: sawalha.majdi@ju.edu.jo Department: Artificial Intelligence (AI) أ. د. نديم عبيد Email: obein@ju.edu.", "source": "docs_emails.docx", "chunk_id": 23, "language": "Mixed", "was_translated": false }, { "text": "awalha.majdi@ju.edu.jo Department: Artificial Intelligence (AI) أ. د. نديم عبيد Email: obein@ju.edu.jo Department: Artificial Intelligence (AI) أ. د. عمر القاضي Email: o.alkadi@ju.edu.jo Department: Artificial Intelligence (AI) د. تمام السرحان Email: t alsarhan@ju.edu.jo Department: Artificial Intelligence (AI) CHUNK 6: Additional CIS Faculty د. عبد الباسط عساف Email: ab.assaf@ju.edu.", "source": "docs_emails.docx", "chunk_id": 24, "language": "Mixed", "was_translated": false }, { "text": "ificial Intelligence (AI) CHUNK 6: Additional CIS Faculty د. عبد الباسط عساف Email: ab.assaf@ju.edu.jo Department: Computer Information Systems (CIS) السيدة فاطمة زهدي أحمد بدوان Email: fbadwan@ju.edu.jo Department: Computer Information Systems (CIS) السيدة ألى عزام محمد شلبك Email: o.shalbak@ju.edu.", "source": "docs_emails.docx", "chunk_id": 25, "language": "Mixed", "was_translated": false }, { "text": "jo Department: Computer Information Systems (CIS) السيدة ألى عزام محمد شلبك Email: o.shalbak@ju.edu.jo Department: Computer Information Systems (CIS) السيدة تمارا زياد جاد الله حموري Email: tamara@ju.edu.jo Department: Computer Information Systems (CIS) أ.د. ثائر حمتيني Email: thamtini@ju.edu.jo Department: Computer Information Systems (CIS) المهندس فارس الصمادي Email: f.smadi@ju.edu.", "source": "docs_emails.docx", "chunk_id": 26, "language": "Mixed", "was_translated": false }, { "text": "ju.edu.jo Department: Computer Information Systems (CIS) المهندس فارس الصمادي Email: f.smadi@ju.edu.jo Department: Computer Information Systems (CIS)", "source": "docs_emails.docx", "chunk_id": 27, "language": "Mixed", "was_translated": false }, { "text": "s (CIS) المهندس فارس الصمادي Email: f.smadi@ju.edu.jo Department: Computer Information Systems (CIS)", "source": "docs_emails.docx", "chunk_id": 28, "language": "Mixed", "was_translated": false }, { "text": "Bachelor s Degree Study Plan 1. School King Abdullah II School for Information Technology 2. Department Artificial Intelligence Department 3. Program title (Arabic) علم البيانات 4. Program title (English) Data Science 5.", "source": "DS-English (2022).pdf", "chunk_id": 1, "language": "English", "was_translated": false }, { "text": "ligence Department 3. Program title (Arabic) علم البيانات 4. Program title (English) Data Science 5.", "source": "DS-English (2022).pdf", "chunk_id": 2, "language": "Mixed", "was_translated": false }, { "text": "Components of Curriculum: The curriculum for the bachelor s degree in Data Science Program consists of (132) credit hours distributed as follows: Number Type of Requirements Credit Hours First University Requirements 27 Second School Courses 24 Third Specialization Requirements (81 Credit Hours) (Obligatory Courses) 69 (Elective Courses) 12 Total 132 6.", "source": "DS-English (2022).pdf", "chunk_id": 3, "language": "English", "was_translated": false }, { "text": "ialization Requirements (81 Credit Hours) (Obligatory Courses) 69 (Elective Courses) 12 Total 132 6. Numbering System: A- Department Numbers Department No. Department Name Program No.", "source": "DS-English (2022).pdf", "chunk_id": 4, "language": "English", "was_translated": false }, { "text": ") 12 Total 132 6. Numbering System: A- Department Numbers Department No. Department Name Program No.", "source": "DS-English (2022).pdf", "chunk_id": 5, "language": "English", "was_translated": false }, { "text": "Program Name 1 Computer Science (CS) 01 Computer Science (CS) Computer Information Systems (CIS) 02 Computer Information Systems (CIS) 2 Business Information Systems (BIS) 03 Business Information Systems (BIS) 3 4 Information Technology (IT) 04 Information Technology (IT) 05 Artificial Intelligence (AI) 15 Data Science (DS) 5 Artificial Intelligence (AI) B- Course number Domain Number Domain", "source": "DS-English (2022).pdf", "chunk_id": 6, "language": "English", "was_translated": false }, { "text": "gence (AI) 15 Data Science (DS) 5 Artificial Intelligence (AI) B- Course number Domain Number Domain Title Domain Number Domain title 0 General 5 Applications 1 Programming Languages 6 Distributed Computing 2 Fundamentals of AI and Data Science 7 Machine Learning 3 Databases and Data Engineering 8 Frameworks and Tools Computational Sciences and Algorithms 4 9 Special Topics and Project QF-AQAC-02.", "source": "DS-English (2022).pdf", "chunk_id": 7, "language": "English", "was_translated": false }, { "text": "rameworks and Tools Computational Sciences and Algorithms 4 9 Special Topics and Project QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 8, "language": "English", "was_translated": false }, { "text": "rks and Tools Computational Sciences and Algorithms 4 9 Special Topics and Project QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 9, "language": "English", "was_translated": false }, { "text": "2 Study Plan- Bachelors 1 C- Course number consists of 7 digits: Serial number Area Level Department/Program School X X 1 5 1 9 1 First: University Requirements (27) credit hours distributed as follows: Preparation Program Requirements All students admitted to the university must apply for a degree examination in Arabic and English and the computer is prepared or approved by the university to", "source": "DS-English (2022).pdf", "chunk_id": 10, "language": "English", "was_translated": false }, { "text": "gree examination in Arabic and English and the computer is prepared or approved by the university to determine their level. Based on the results of the examinations, either the student will study one or more of the requirements of the preparatory program. (0 - 15 Credit Hours) Hours Course Notes Prerequisites Credit No. Course Title No.", "source": "DS-English (2022).pdf", "chunk_id": 11, "language": "English", "was_translated": false }, { "text": "paratory program. (0 - 15 Credit Hours) Hours Course Notes Prerequisites Credit No. Course Title No.", "source": "DS-English (2022).pdf", "chunk_id": 12, "language": "English", "was_translated": false }, { "text": "- - 0 0300150 Community Service 1 - - 0 1902098 Computer Skills Placement Test 2 Pass/Fail 1902098 3 1932099 Basics of Computing 3 - - 0 3201098 Arabic Placement Test 4 Pass/Fail 3201098 3 3201099 Basics of Arabic 5 Pass/Fail 3201099 3 3201100 Arabic Languages Skills 6 - - 0 3202098 English Placement Test 7 Pass/Fail 3202098 3 3202099 Basics of English 8 Pass/Fail 3202099 3 3202100 English", "source": "DS-English (2022).pdf", "chunk_id": 13, "language": "English", "was_translated": false }, { "text": "Placement Test 7 Pass/Fail 3202098 3 3202099 Basics of English 8 Pass/Fail 3202099 3 3202100 English Language Skills 9 Compulsory Requirements (18 Credit Hours) Hours Course Notes Prerequisites Credit No. Course Title No.", "source": "DS-English (2022).pdf", "chunk_id": 14, "language": "English", "was_translated": false }, { "text": "mpulsory Requirements (18 Credit Hours) Hours Course Notes Prerequisites Credit No. Course Title No.", "source": "DS-English (2022).pdf", "chunk_id": 15, "language": "English", "was_translated": false }, { "text": "3 0100 2 22 Military Sciences 1 3 3400100 National Culture 2 3 3410100 Ethics and Humans Values 3 1932099 / 3410100 3 3410101 Entrepreneurship Innovation and Scientific Research 4 1932099 / 3410100 3 3410102 Life And Practical Skills 5 1932099 / 3410100 3 3400103 Introduction to Philosophy and Critical Thinking 6 QF-AQAC-02.03.01.2 Study Plan- Bachelors 2 C.", "source": "DS-English (2022).pdf", "chunk_id": 16, "language": "English", "was_translated": false }, { "text": "103 Introduction to Philosophy and Critical Thinking 6 QF-AQAC-02.03.01.2 Study Plan- Bachelors 2 C. Electives University Requirements (9 Credit Hours): Elective courses are to be chosen from the first, second and third groups mentioned below. The student has to choose one course from each of the groups.", "source": "DS-English (2022).pdf", "chunk_id": 17, "language": "English", "was_translated": false }, { "text": "cond and third groups mentioned below. The student has to choose one course from each of the groups. C- Electives (9 Credit Hours) Elective courses: (9) credit hours to be chosen from the first, second and third groups mentioned below. The student has to choose one course from each of the groups. (First Group) Notes Prerequisites Credit Hours Course No. Course Title No.", "source": "DS-English (2022).pdf", "chunk_id": 18, "language": "English", "was_translated": false }, { "text": "from each of the groups. (First Group) Notes Prerequisites Credit Hours Course No. Course Title No. - - 3 0400101 Islam and Contemporary Issues 1 - - 3 2300101 Arab-Islamic Civilization 2 - - 3 2300102 Jordan: History and Civilization 3 - - 3 3400107 Great Books 4 - - 3 3400108 Jerusalem 5 Electives (Second Group) Notes Prerequisites Credit Hours Course No. Course Title No.", "source": "DS-English (2022).pdf", "chunk_id": 19, "language": "English", "was_translated": false }, { "text": "08 Jerusalem 5 Electives (Second Group) Notes Prerequisites Credit Hours Course No. Course Title No. - - 3 0102 1 03 Environmental Culture and Development 1 - - 3 0400102 Islamic Culture 2 - - 3 0720100 Health Culture 3 - - 3 1000102 Legal Culture 4 - - 3 1100100 Physical Fitness Culture 5 Electives (Third Group) Notes Prerequisites Credit Hours Course No. Course Title No.", "source": "DS-English (2022).pdf", "chunk_id": 20, "language": "English", "was_translated": false }, { "text": "tness Culture 5 Electives (Third Group) Notes Prerequisites Credit Hours Course No. Course Title No. 3 1600100 Electronic Commerce 1 3 1900101 Social Media 2 3 2000100 Appreciation of Arts 3 3 2200103 Foreign Language 4 3 3400106 Special Subject 5 QF-AQAC-02.03.01.2 Study Plan- Bachelors 3 Second: School courses: distributed as follows: A.", "source": "DS-English (2022).pdf", "chunk_id": 21, "language": "English", "was_translated": false }, { "text": "ject 5 QF-AQAC-02.03.01.2 Study Plan- Bachelors 3 Second: School courses: distributed as follows: A.", "source": "DS-English (2022).pdf", "chunk_id": 22, "language": "English", "was_translated": false }, { "text": "Obligatory school courses: ( 24 ) credit hours Contact Hours Course Number Course Title Credit Hours Pre-requisite Theoret ical Practical 1901101 Discrete Mathematics 3 - 3 - Pass Qualifications Exam or 1932099 1931102 Computer Skills for Scientific Faculties 3 - 3 1904101 Fundamentals of Information Technology 3 - 3 - 1904120 Web Applications Development 3 3 1931102 1902110 Object-Oriented", "source": "DS-English (2022).pdf", "chunk_id": 23, "language": "English", "was_translated": false }, { "text": "ormation Technology 3 - 3 - 1904120 Web Applications Development 3 3 1931102 1902110 Object-Oriented Programming 3 3 1931102 1901242 Data Structures 3 - 3 1902110 1902224 Database Management Systems 3 - 3 1902110 1915101 Linear Algebra for Computational Sciences 3 - 3 0301101 1902390 Seminar-Road to Software Industry 2 - 0 Passing 45 hours B. Elective school courses: (0) credit hours: QF-AQAC-02.", "source": "DS-English (2022).pdf", "chunk_id": 24, "language": "English", "was_translated": false }, { "text": "o Software Industry 2 - 0 Passing 45 hours B. Elective school courses: (0) credit hours: QF-AQAC-02.03.01.2 Study Plan- Bachelors 4 Third: Specialty courses: (81) credit hours distributed as follows: A.", "source": "DS-English (2022).pdf", "chunk_id": 25, "language": "English", "was_translated": false }, { "text": ".01.2 Study Plan- Bachelors 4 Third: Specialty courses: (81) credit hours distributed as follows: A.", "source": "DS-English (2022).pdf", "chunk_id": 26, "language": "English", "was_translated": false }, { "text": "Obligatory specialty courses: ( 69 ) credit hours: Contact Hours Credit Course Number Course Title Hours Pre-requisite Theoretical Practical 0301131 Principles of Statistics 3 - 3 - 0301101 Calculus 1 3 - 3 - 1915111 AI Programming 3 - 3 1931102 1915121 Principles of Data Science 3 - 3 - 1905222 Data Mining 3 - 3 1902224 Data Engineering and Analytics 3 - 3 1915121 + 1915111 1915231 1915251", "source": "DS-English (2022).pdf", "chunk_id": 27, "language": "English", "was_translated": false }, { "text": "222 Data Mining 3 - 3 1902224 Data Engineering and Analytics 3 - 3 1915121 + 1915111 1915231 1915251 Applied Statistics 3 - 3 0301131 Ethics of AI and Data Science 3 - 3 1915121 1905220 Information Security and Privacy 3 - 3 1901363 + 1902224 1911322 1905320 Artificial Intelligence 3 - 3 1901242 1915331 NoSQL Databases 3 - 3 1902224 1901341 Theory of Algorithms 3 - 3 1901242 Machine Learning and", "source": "DS-English (2022).pdf", "chunk_id": 28, "language": "English", "was_translated": false }, { "text": "915331 NoSQL Databases 3 - 3 1902224 1901341 Theory of Algorithms 3 - 3 1901242 Machine Learning and Neural networks 3 - 3 1905222 1915370 Pattern Recognition and Information Analysis 3 - 3 1905222 1915371 1901363 Computer Networks 3 - 3 1901242 1902372 Software Engineering 3 - 3 1902224 1905380 Natural Language Processing 3 - 3 1905320 1915441 Data Visualization 3 - 3 1915370 1915461 Cloud", "source": "DS-English (2022).pdf", "chunk_id": 29, "language": "English", "was_translated": false }, { "text": "380 Natural Language Processing 3 - 3 1905320 1915441 Data Visualization 3 - 3 1915370 1915461 Cloud Computing 3 - 3 1905222 + 1901363 1915431 Big Data 3 3 1915461 1915471 Deep Learning 3 - 3 1915370 Model Deployment Frameworks 3 - 3 1915370 1915481 1915490 Training 6 Weeks 0 Success 90 hours 1915491 Project -1 - - 0 Success 90 hours 1915492 Project -2 - - 3 1915491 QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 30, "language": "English", "was_translated": false }, { "text": "0 hours 1915491 Project -1 - - 0 Success 90 hours 1915492 Project -2 - - 3 1915491 QF-AQAC-02.03.01.2 Study Plan- Bachelors 5 B.", "source": "DS-English (2022).pdf", "chunk_id": 31, "language": "English", "was_translated": false }, { "text": "- 0 Success 90 hours 1915492 Project -2 - - 3 1915491 QF-AQAC-02.03.01.2 Study Plan- Bachelors 5 B.", "source": "DS-English (2022).pdf", "chunk_id": 32, "language": "English", "was_translated": false }, { "text": "Elective specialty courses: (12) credit hours: Contact Hours Credit Course Number Course Title Hours Pre-requisite Theoretical Practical 1915 2 4 3 Bioinformatics 3 - 3 1905222 Financial and Business Data Analytics 3 - 3 1905222 1915252 1915232 Data Management and Governance 3 - 3 1905222 1905310 Advance AI programming 3 - 3 1905111 1915341 Social Network Analysis 3 - 3 1915222 + 1901341", "source": "DS-English (2022).pdf", "chunk_id": 33, "language": "English", "was_translated": false }, { "text": "1905310 Advance AI programming 3 - 3 1905111 1915341 Social Network Analysis 3 - 3 1915222 + 1901341 Healthcare and Medical Data Analytics 3 - 3 1905222 1915352 19153 3 5 Mining Software Repositories 3 - 3 1902372 + 1905222 Information Technology Entrepreneurship and Innovation 3 - 3 1902224 1902383 1915442 Time Series Analysis 3 - 3 1915370 1904472 IT Project Management 3 - 3 1902372 1905322", "source": "DS-English (2022).pdf", "chunk_id": 34, "language": "English", "was_translated": false }, { "text": "02383 1915442 Time Series Analysis 3 - 3 1915370 1904472 IT Project Management 3 - 3 1902372 1905322 Computer Vison 3 - 3 1915370 1905382 Digital Speech Processing 3 - 3 1905320 1905480 Arabic Language Engineering 3 - 3 1905380 Computational Problems and Techniques 3 - 3 1901341 1901444 1904253 Web Server Programming 3 - 3 1904120 1905330 Embedded Systems 3 - 3 1905320 + 1901242 1905431", "source": "DS-English (2022).pdf", "chunk_id": 35, "language": "English", "was_translated": false }, { "text": "904253 Web Server Programming 3 - 3 1904120 1905330 Embedded Systems 3 - 3 1905320 + 1901242 1905431 Intelligent Robotics 3 - 3 1905320 1905453 Virtual Reality 3 - 3 1915441 1915494 Special Topics in Data Science 3 - 3 1915370 QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 36, "language": "English", "was_translated": false }, { "text": "Virtual Reality 3 - 3 1915441 1915494 Special Topics in Data Science 3 - 3 1915370 QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 37, "language": "English", "was_translated": false }, { "text": "2 Study Plan- Bachelors 6 Fourth: Courses offered by other faculties and departments Course Number Course Title Contact Hours Credit Pre- requisite Theoretical Practical 0301131 Principles of Statistics 3 - 3 - 0301101 Calculus 1 3 - 3 - Hours 1901363 + 1902224 1902372 Software Engineering 3 - 3 1902224 1901341 Theory of Algorithms 3 - 3 1901242 1901363 Computer Networks 3 - 3 1901242 1904472 IT", "source": "DS-English (2022).pdf", "chunk_id": 38, "language": "English", "was_translated": false }, { "text": "902224 1901341 Theory of Algorithms 3 - 3 1901242 1901363 Computer Networks 3 - 3 1901242 1904472 IT Project Management 3 - 3 1902372 1901444 Computational Problems and Techniques Information Security and Privacy 3 - 3 1911322 3 - 3 1901341 1904253 Web Server Programming 3 - 3 1904120 1902390 Seminar-Road to Software Industry 2 - 0 Passing 45 hours QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 39, "language": "English", "was_translated": false }, { "text": "ing 3 - 3 1904120 1902390 Seminar-Road to Software Industry 2 - 0 Passing 45 hours QF-AQAC-02.03.01.2 Study Plan- Bachelors 7 Fifth: Advisory Study Plan First Year Second Semester First Semester Credit Hours Course Name Course No. Credit Hours Course Name Course No.", "source": "DS-English (2022).pdf", "chunk_id": 40, "language": "English", "was_translated": false }, { "text": "cond Semester First Semester Credit Hours Course Name Course No. Credit Hours Course Name Course No.", "source": "DS-English (2022).pdf", "chunk_id": 41, "language": "English", "was_translated": false }, { "text": "3 Object-Oriented Programming 1902110 3 Calculus 1 0301101 3 Principles of Statistics 0301131 3 Fundamentals of Information Technology 1904101 3 Web Application Development 1904120 3 Discrete Mathematics 1901101 3 Principles of Data Science 1915121 3 Computer Skills for Scientific Faculties 1931102 3 Data Structures 1901242 3 University Requirement - 15 15 *** All Students need to take the", "source": "DS-English (2022).pdf", "chunk_id": 42, "language": "English", "was_translated": false }, { "text": "1931102 3 Data Structures 1901242 3 University Requirement - 15 15 *** All Students need to take the Ethics and skills of university life (1900010) course during the first year. Second Year Second Semester First Semester Credit Hours Course Name Course No. Credit Hours Course Name Course No.", "source": "DS-English (2022).pdf", "chunk_id": 43, "language": "English", "was_translated": false }, { "text": "cond Semester First Semester Credit Hours Course Name Course No. Credit Hours Course Name Course No.", "source": "DS-English (2022).pdf", "chunk_id": 44, "language": "English", "was_translated": false }, { "text": "3 Theory of Algorithms 1901341 3 AI Programming 1915111 3 Data Mining 1905222 3 Database Management Systems 1902224 3 Data Engineering and Analytics 1915231 3 Linear Algebra for Computing Sciences 1915101 3 Applied Statistics 1915251 3 University Requirement - 3 University Requirement - 3 University Requirement - 3 University Requirement - 3 Major elective requirement - 18 18 QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 45, "language": "English", "was_translated": false }, { "text": "sity Requirement - 3 University Requirement - 3 Major elective requirement - 18 18 QF-AQAC-02.03.01.2 Study Plan- Bachelors 8 Third Year Second Semester First Semester Credit Hours Course Name Course No. Credit Hours Course Name Course No.", "source": "DS-English (2022).pdf", "chunk_id": 46, "language": "English", "was_translated": false }, { "text": "cond Semester First Semester Credit Hours Course Name Course No. Credit Hours Course Name Course No.", "source": "DS-English (2022).pdf", "chunk_id": 47, "language": "English", "was_translated": false }, { "text": "3 Computer Networks 1901363 3 Software Engineering 1902372 3 Pattern Recognition and Information Analysis 1915371 3 Information Security and Privacy 1911322 3 NoSQL Databases 1915331 3 Machine Learning and Neural networks 1915370 3 Ethics of Artificial Intelligence and Data Science 1905220 3 Artificial Intelligence 1905320 0 Seminar-Road to Software Industry 1902399 3 Major elective requirement", "source": "DS-English (2022).pdf", "chunk_id": 48, "language": "English", "was_translated": false }, { "text": "ficial Intelligence 1905320 0 Seminar-Road to Software Industry 1902399 3 Major elective requirement - 3 Major elective requirement - 3 University Requirement - 3 University Requirement - 18 18 Fourth Year Second Semester First Semester Credit Hours Course Name Course No. Credit Hours Course Name Course No.", "source": "DS-English (2022).pdf", "chunk_id": 49, "language": "English", "was_translated": false }, { "text": "cond Semester First Semester Credit Hours Course Name Course No. Credit Hours Course Name Course No.", "source": "DS-English (2022).pdf", "chunk_id": 50, "language": "English", "was_translated": false }, { "text": "3 Data Visualization 1915441 3 Natural Language Processing 1905380 3 Deep Learning 1915471 3 Cloud Computing 1915461 3 Big Data 1915431 3 Model Deployment Frameworks 1915481 3 Project 2 1915492 0 Project 1 1915491 3 Major elective requirement - 3 University Requirement - 0 Training 1915490 3 University Requirements - 15 15 *** Student can take training (1915490 with 0 credit hours) after", "source": "DS-English (2022).pdf", "chunk_id": 51, "language": "English", "was_translated": false }, { "text": "3 University Requirements - 15 15 *** Student can take training (1915490 with 0 credit hours) after completing 90 credit hours. QF-AQAC-02.03.01.2 Study Plan- Bachelors 9 A.", "source": "DS-English (2022).pdf", "chunk_id": 52, "language": "English", "was_translated": false }, { "text": "with 0 credit hours) after completing 90 credit hours. QF-AQAC-02.03.01.2 Study Plan- Bachelors 9 A. Obligatory School Courses Description Credit Hours Course Number Course Title Discrete Mathematics 1901101 3 Prerequisite: (None) Course Description This course studies the mathematical elements of computer science and their applications.", "source": "DS-English (2022).pdf", "chunk_id": 53, "language": "English", "was_translated": false }, { "text": "escription This course studies the mathematical elements of computer science and their applications. Topics include propositional logic; predicate logic; mathematical reasoning; techniques of proof; mathematical induction; set theory; number theory; matrices; sequences and summations; functions, relations and their properties, elementary graph theory, and tree (graph theory).", "source": "DS-English (2022).pdf", "chunk_id": 54, "language": "English", "was_translated": false }, { "text": "ations; functions, relations and their properties, elementary graph theory, and tree (graph theory). In each subject, its characteristics, forms, ways of representing it, the operations used in it, and ways of linking these subjects together are studied. Homework will be assigned.", "source": "DS-English (2022).pdf", "chunk_id": 55, "language": "English", "was_translated": false }, { "text": "ions used in it, and ways of linking these subjects together are studied. Homework will be assigned. Credit Hours Course Number Course Title Computer Skills for Scientific Faculties 1931102 3 Prerequisite: (Pass Qualifications Exam or 1932099) Course Description This course studies the fundamental concepts of programming using C++.", "source": "DS-English (2022).pdf", "chunk_id": 56, "language": "English", "was_translated": false }, { "text": "r 1932099) Course Description This course studies the fundamental concepts of programming using C++. Topics includes: basic structures of programming tools, like: variable names, data types, input and output statements, and output formatting. Files. Selection statements structures. Repetition statements structures. Functions. Enumeration datatype and strings data type. Arrays; 1D and 2D.", "source": "DS-English (2022).pdf", "chunk_id": 57, "language": "English", "was_translated": false }, { "text": "ion statements structures. Functions. Enumeration datatype and strings data type. Arrays; 1D and 2D. The lectures will be provided in the lab through active teaching methodologies individually or within groups.", "source": "DS-English (2022).pdf", "chunk_id": 58, "language": "English", "was_translated": false }, { "text": "res will be provided in the lab through active teaching methodologies individually or within groups. Course Number Course Title Fundamentals of Information Technology Credit Hours 3 Prerequisite: (None) 1904101 Course Description This course will introduce the fundamental knowledge of information technologies, and it works as an introductory course for computer-related courses.", "source": "DS-English (2022).pdf", "chunk_id": 59, "language": "English", "was_translated": false }, { "text": "ge of information technologies, and it works as an introductory course for computer-related courses. It is a combination between a theoretical and a practical course.", "source": "DS-English (2022).pdf", "chunk_id": 60, "language": "English", "was_translated": false }, { "text": "urse for computer-related courses. It is a combination between a theoretical and a practical course. In particular, the course provides students with a grounding knowledge on several areas of information technologies including cutting edge technologies, careers in IT, basic concepts of cloud computing and web technologies, and a general perceptive of project management.", "source": "DS-English (2022).pdf", "chunk_id": 61, "language": "English", "was_translated": false }, { "text": "ic concepts of cloud computing and web technologies, and a general perceptive of project management. Students are also going to be introduced practically to hardware maintenance, software diagnostics and technical support. In addition, critical thinking methodologies and techniques will be discussed, including numbering systems, flowcharts and related case studies.", "source": "DS-English (2022).pdf", "chunk_id": 62, "language": "English", "was_translated": false }, { "text": "and techniques will be discussed, including numbering systems, flowcharts and related case studies. Operating systems such as QF-AQAC-02.03.01.2 Study Plan- Bachelors 10 LINUX/UNIX with, memory allocation, and an introduction to networks and security, and block chain concepts.", "source": "DS-English (2022).pdf", "chunk_id": 63, "language": "English", "was_translated": false }, { "text": "NIX with, memory allocation, and an introduction to networks and security, and block chain concepts. The final part is concerned with technical applications needed such as excel, advanced excel, technical writing, report generating and type writing. Technical sections will be taught on lab sessions and group works.", "source": "DS-English (2022).pdf", "chunk_id": 64, "language": "English", "was_translated": false }, { "text": "port generating and type writing. Technical sections will be taught on lab sessions and group works. Active learning methodologies will be applied through role playing, presentations and problem solving exercises.", "source": "DS-English (2022).pdf", "chunk_id": 65, "language": "English", "was_translated": false }, { "text": "ing methodologies will be applied through role playing, presentations and problem solving exercises. Credit Hours Course Number 1904120 Course Title Web Application development 3 Prerequisite: (1931102) Course Description This course aims to improve students ability in Front-End Web applications development using client-side programming such as HTML 5, Cascading Style Sheet (CSS3), JavaScript.", "source": "DS-English (2022).pdf", "chunk_id": 66, "language": "English", "was_translated": false }, { "text": "development using client-side programming such as HTML 5, Cascading Style Sheet (CSS3), JavaScript. In addition, the students will learn the fundamental concepts of front-end web development frameworks such as Bootstrap and React front-end frameworks. The course will cover the Bootstrap framework, which is the most popular CSS framework for creating responsive mobile-first websites.", "source": "DS-English (2022).pdf", "chunk_id": 67, "language": "English", "was_translated": false }, { "text": "ap framework, which is the most popular CSS framework for creating responsive mobile-first websites. This course will teach you how to create pages of a website using the Bootstrap v5 framework.", "source": "DS-English (2022).pdf", "chunk_id": 68, "language": "English", "was_translated": false }, { "text": "sites. This course will teach you how to create pages of a website using the Bootstrap v5 framework. In addition, the course also covers the basic concepts of the React framework such as Communicating with Props, Class- Based Components, State in React Components, Lifecycle Methods, Handling User Input with Forms and Events, Making API Requests with React, and Single Page Application Development.", "source": "DS-English (2022).pdf", "chunk_id": 69, "language": "English", "was_translated": false }, { "text": "nput with Forms and Events, Making API Requests with React, and Single Page Application Development. This course uses active teaching methodologies, such as weekly lab applied sessions, group work and technical projects.", "source": "DS-English (2022).pdf", "chunk_id": 70, "language": "English", "was_translated": false }, { "text": "tive teaching methodologies, such as weekly lab applied sessions, group work and technical projects. Credit Hours Course Number 1902110 Course Title Object-Oriented Programming 3 Prerequisite: (1931102) Course Description The course aims to cover the fundamental concepts of OOP, such as Encapsulation and Information- Hiding, Inheritance, Polymorphism, and Abstraction.", "source": "DS-English (2022).pdf", "chunk_id": 71, "language": "English", "was_translated": false }, { "text": "s of OOP, such as Encapsulation and Information- Hiding, Inheritance, Polymorphism, and Abstraction. The course uses Java Programming language starting from the basic Java syntax based on Eclipse IDE.", "source": "DS-English (2022).pdf", "chunk_id": 72, "language": "English", "was_translated": false }, { "text": "The course uses Java Programming language starting from the basic Java syntax based on Eclipse IDE.", "source": "DS-English (2022).pdf", "chunk_id": 73, "language": "English", "was_translated": false }, { "text": "It focuses on the understanding and practical mastery of OOP principles and Java components, such as classes, objects, input/output, scanner objects (to read either from the keyboard or a file), loops, decision-making, array and multidimensional array, data abstraction, methods, method overloading, objects garbage-collector, an introduction to exception-handling, etc.", "source": "DS-English (2022).pdf", "chunk_id": 74, "language": "English", "was_translated": false }, { "text": "methods, method overloading, objects garbage-collector, an introduction to exception-handling, etc. Finally, it presents an introduction to JavaFX and its hierarchy based on Java inheritance OOP concepts, for developing rich client applications. Lectures will be given in the lab for practical application. This course is assessed through exams, practical tests and assignments. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 75, "language": "English", "was_translated": false }, { "text": "plication. This course is assessed through exams, practical tests and assignments. QF-AQAC-02.03.01.2 Study Plan- Bachelors 11 Credit Hours Course Number Course Title Data Structures 1901242 3 Prerequisite: (1902110) Course Description This Course introduces the students to the concepts of data structures. Topics includes: Pointers, and pointer operations.", "source": "DS-English (2022).pdf", "chunk_id": 76, "language": "English", "was_translated": false }, { "text": "the students to the concepts of data structures. Topics includes: Pointers, and pointer operations. Array implementation of lists, stacks, and queues. Dynamic implementation of lists (singly, doubly, circular), stack operations and queue operations (and their implementation as linked lists). STL, like: vectors, pairs, maps, sets, lists, stacks, queue. Recursion.", "source": "DS-English (2022).pdf", "chunk_id": 77, "language": "English", "was_translated": false }, { "text": "ementation as linked lists). STL, like: vectors, pairs, maps, sets, lists, stacks, queue. Recursion. Tree dynamic, like binary search trees, segment, red-black, AVL trees. Hash Table and Collision resolution. Weekly lab assignments will be given to the students and to be discussed thourhg active teaching methodologies, in addition to problem solving tasks.", "source": "DS-English (2022).pdf", "chunk_id": 78, "language": "English", "was_translated": false }, { "text": "nts and to be discussed thourhg active teaching methodologies, in addition to problem solving tasks.", "source": "DS-English (2022).pdf", "chunk_id": 79, "language": "English", "was_translated": false }, { "text": "Credit Hours Course Number Course Title Database Management Systems 1902224 3 Prerequisite: (1902110) Course Description The course aims to provide students with an overview of database management system architecture and environment, an understanding of the basic database design and implementation techniques, and a practical experience of designing and building relational databases.", "source": "DS-English (2022).pdf", "chunk_id": 80, "language": "English", "was_translated": false }, { "text": "mplementation techniques, and a practical experience of designing and building relational databases. Furthermore, it enables applying conceptual design methodologies for databases and learning about the architecture and environments of the database management system.", "source": "DS-English (2022).pdf", "chunk_id": 81, "language": "English", "was_translated": false }, { "text": "or databases and learning about the architecture and environments of the database management system. Students will practice using database tools to create and manage database schemas systems and formulate DDL, DML commands and run SQL queries. Advanced SQL topics such as creating database functions, database Stored Procedures and database Triggers will be covered.", "source": "DS-English (2022).pdf", "chunk_id": 82, "language": "English", "was_translated": false }, { "text": "ch as creating database functions, database Stored Procedures and database Triggers will be covered. Also, students will learn how to manage database privileges and design suitable security and integrity constraints for database schemas.", "source": "DS-English (2022).pdf", "chunk_id": 83, "language": "English", "was_translated": false }, { "text": "age database privileges and design suitable security and integrity constraints for database schemas. Furthermore, the course will provide the students with practice project to connect a relational DB using a programming language, in addition to practice using basic Oracle Forms and Oracle Reports.", "source": "DS-English (2022).pdf", "chunk_id": 84, "language": "English", "was_translated": false }, { "text": "B using a programming language, in addition to practice using basic Oracle Forms and Oracle Reports. This course will use a combination of traditional lectures, active teaching methodologies, and hands-on lab lectures. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 85, "language": "English", "was_translated": false }, { "text": "of traditional lectures, active teaching methodologies, and hands-on lab lectures. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 86, "language": "English", "was_translated": false }, { "text": "2 Study Plan- Bachelors 12 Credit Hours Course Number Course Title Linear Algebra for Computational Sciences 1915101 3 Prerequisite: (0301101) Course Description The course uses linear algebra as one of the most important tools in applied mathematics, data science, and artificial intelligence to help students learn how to handle vectors and matrices, solve matrix-vector equations, perform Eigen", "source": "DS-English (2022).pdf", "chunk_id": 87, "language": "English", "was_translated": false }, { "text": "help students learn how to handle vectors and matrices, solve matrix-vector equations, perform Eigen value and Eigen vector and diagonalization analyses and use principal component analysis to do dimension reduction on real-world datasets.", "source": "DS-English (2022).pdf", "chunk_id": 88, "language": "English", "was_translated": false }, { "text": "tion analyses and use principal component analysis to do dimension reduction on real-world datasets.", "source": "DS-English (2022).pdf", "chunk_id": 89, "language": "English", "was_translated": false }, { "text": "It covers topics such as: solving systems of linear equations; matrices and matrix operations; homogeneous and non- homogeneous systems; Gaussian elimination; elementary matrices and a method for finding A 1; determinants; Euclidean vector spaces; linear transformations from Rn to Rm and their properties; general vector spaces; subspaces; basis; dimension; row space; column space; null space of", "source": "DS-English (2022).pdf", "chunk_id": 90, "language": "English", "was_translated": false }, { "text": "operties; general vector spaces; subspaces; basis; dimension; row space; column space; null space of a matrix; rank and nullity; and inner product spaces. All analysis will be performed in python or any similar popular programming language. Lectures will be given in the lab for practical application. This course is assessed through exams, practical tests and assignments.", "source": "DS-English (2022).pdf", "chunk_id": 91, "language": "English", "was_translated": false }, { "text": "b for practical application. This course is assessed through exams, practical tests and assignments. Credit Hours Course Number Course Title Seminar-Road to Software Industry 1902390 0 Prerequisite: (Passing 45 hours) Course Description IT students increasingly demand and require coverage of emerging technologies to prepare themselves for subsequent employment and research.", "source": "DS-English (2022).pdf", "chunk_id": 92, "language": "English", "was_translated": false }, { "text": "uire coverage of emerging technologies to prepare themselves for subsequent employment and research. Industry and professional bodies are also concerned that IT education does not always prepare students adequately for the world of work.", "source": "DS-English (2022).pdf", "chunk_id": 93, "language": "English", "was_translated": false }, { "text": "also concerned that IT education does not always prepare students adequately for the world of work.", "source": "DS-English (2022).pdf", "chunk_id": 94, "language": "English", "was_translated": false }, { "text": "This professional practice seminar course aims to contribute to solving these two issues by providing real- world experiences, inspiring students to choose their career path, and exposing them to the trends, methods, and techniques that are of current interest in software industry through a weekly seminar series.", "source": "DS-English (2022).pdf", "chunk_id": 95, "language": "English", "was_translated": false }, { "text": "s, and techniques that are of current interest in software industry through a weekly seminar series. Professionals from software companies are invited to present different aspects of their companies and to share their first-hand experience with students. This course can enhance IT education and motivate students by covering leading-edge technologies and practices.", "source": "DS-English (2022).pdf", "chunk_id": 96, "language": "English", "was_translated": false }, { "text": "can enhance IT education and motivate students by covering leading-edge technologies and practices. After each seminar, students will submit a personal evaluation and short reports relevant to the seminar s presentation. Attendance and participation in 8 seminars, including the evaluation of each seminar and the short reports are the minimum requirements to pass the course. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 97, "language": "English", "was_translated": false }, { "text": "ach seminar and the short reports are the minimum requirements to pass the course. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 98, "language": "English", "was_translated": false }, { "text": "2 Study Plan- Bachelors 13 B- Obligatory Courses Description Credit Hours Course Number Course Title Principles of Statistics 0301131 3 Prerequisite: (None) Course Description Describing statistical data by tables, graphs and numerical measures, Chebychev s inequality and the empirical rule, counting methods, combinations, permutations, elements of probability and random variables, the binomial,", "source": "DS-English (2022).pdf", "chunk_id": 99, "language": "English", "was_translated": false }, { "text": "ing methods, combinations, permutations, elements of probability and random variables, the binomial, the Poisson, and the normal distributions, sampling distributions, elements of testing hypotheses, statistical inference about one and two populations parameters Credit Hours Course Number Course Title 0301101 Calculus-1 3 Prerequisite: (None) Course Description Functions: domain, operations on", "source": "DS-English (2022).pdf", "chunk_id": 100, "language": "English", "was_translated": false }, { "text": "Title 0301101 Calculus-1 3 Prerequisite: (None) Course Description Functions: domain, operations on functions, graphs of functions; trigonometric functions; limits: meaning of a limit, computational techniques, limits at infinity, infinite limits; continuity; limits and continuity of trigonometric functions; the derivative: techniques of differentiation, derivatives of trigonometric functions;", "source": "DS-English (2022).pdf", "chunk_id": 101, "language": "English", "was_translated": false }, { "text": "ic functions; the derivative: techniques of differentiation, derivatives of trigonometric functions; the chain rule; implicit differentiation; differentials; Roll s Theorem; the mean value theorem; the extended mean value theorem; L Hopital s rule; increasing and decreasing functions; concavity; maximum and minimum values of a function; graphs of functions including rational functions", "source": "DS-English (2022).pdf", "chunk_id": 102, "language": "English", "was_translated": false }, { "text": "oncavity; maximum and minimum values of a function; graphs of functions including rational functions (asymptotes) and functions with vertical tangents (cusps); antiderivatives; the indefinite integral; the definite integral; the fundamental theorem of calculus ; the area under a curve; the area between two curves; transcendental functions: inverse functions, logarithmic and exponential functions;", "source": "DS-English (2022).pdf", "chunk_id": 103, "language": "English", "was_translated": false }, { "text": "ween two curves; transcendental functions: inverse functions, logarithmic and exponential functions; derivatives and integrals; limits (the indeterminate forms); hyperbolic functions and their inverses; inverse trigonometric functions. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 104, "language": "English", "was_translated": false }, { "text": "forms); hyperbolic functions and their inverses; inverse trigonometric functions. QF-AQAC-02.03.01.2 Study Plan- Bachelors 14 Credit Hours Course Number Course Title AI Programming 1915111 3 Prerequisite: (1931102) Course Description This course builds programming skills for students which is required develop and implement applications and algorithms of Artificial Intelligence and data science.", "source": "DS-English (2022).pdf", "chunk_id": 105, "language": "English", "was_translated": false }, { "text": "uired develop and implement applications and algorithms of Artificial Intelligence and data science. This course will focus on programming using Python 3 https://www.python.org/. Python is high-level programming language like Java, C++, or C#. This course provides students with the required skills to solve problems by implementing programs using Python.", "source": "DS-English (2022).pdf", "chunk_id": 106, "language": "English", "was_translated": false }, { "text": "provides students with the required skills to solve problems by implementing programs using Python. Topics include: fundamentals of Python programming, Object-Oriented programming using Python, Data Structures and Algorithms, and Python packages. This course is a lab-based course which includes in-class practical assignments and tasks.", "source": "DS-English (2022).pdf", "chunk_id": 107, "language": "English", "was_translated": false }, { "text": "packages. This course is a lab-based course which includes in-class practical assignments and tasks. The course will also briefly introduce other programming languages such as Lisp and Prolog. This course will use a combination of lectures, group discussions, case studies analysis, and hands-on work.", "source": "DS-English (2022).pdf", "chunk_id": 108, "language": "English", "was_translated": false }, { "text": "rse will use a combination of lectures, group discussions, case studies analysis, and hands-on work. Credit Hours Course Number Course Title Principles of Data Science 1915121 3 Prerequisite: (None) Course Description This will be an introductory course in data science and data analytics.", "source": "DS-English (2022).pdf", "chunk_id": 109, "language": "English", "was_translated": false }, { "text": "e: (None) Course Description This will be an introductory course in data science and data analytics. The objective of the course is to give students a broad overview of the various aspects of data science such as accessing, cleansing, modelling, visualizing, and interpreting data.", "source": "DS-English (2022).pdf", "chunk_id": 110, "language": "English", "was_translated": false }, { "text": "aspects of data science such as accessing, cleansing, modelling, visualizing, and interpreting data. Students will perform hands-on learning of data analytic topics, using technologies such as Python, and open-source analytic tools. The focus in the treatment of these topics will be on breadth rather than depth.", "source": "DS-English (2022).pdf", "chunk_id": 111, "language": "English", "was_translated": false }, { "text": "rce analytic tools. The focus in the treatment of these topics will be on breadth rather than depth. The student acquires the concepts and skills needed for programming in the Python language as well as statistical inference, and related mathematics along with the practical analysis of real-life data sets.", "source": "DS-English (2022).pdf", "chunk_id": 112, "language": "English", "was_translated": false }, { "text": "istical inference, and related mathematics along with the practical analysis of real-life data sets. The course briefly addresses the social and legal issues surrounding data analysis, including privacy and data ethical issues. This course will use a combination of lectures, group discussions, programming assignments, case studies analysis, and hands-on work. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 113, "language": "English", "was_translated": false }, { "text": "up discussions, programming assignments, case studies analysis, and hands-on work. QF-AQAC-02.03.01.2 Study Plan- Bachelors 15 Credit Hours Course Number Course Title Data Mining 1905222 3 Prerequisite: (1902224) Course Description This course provides the students with an introduction to data mining and knowledge discovery (KDD).", "source": "DS-English (2022).pdf", "chunk_id": 114, "language": "English", "was_translated": false }, { "text": "This course provides the students with an introduction to data mining and knowledge discovery (KDD). The course will focus on issues relating to the feasibility, usefulness, effectiveness, and scalability of techniques for the discovery of patterns hidden in large data sets.", "source": "DS-English (2022).pdf", "chunk_id": 115, "language": "English", "was_translated": false }, { "text": "ffectiveness, and scalability of techniques for the discovery of patterns hidden in large data sets.", "source": "DS-English (2022).pdf", "chunk_id": 116, "language": "English", "was_translated": false }, { "text": "The students will learn the basic concepts of data pre-processing, frequent pattern mining and association rules, sequential patterns, and sub-graph patterns; and explore their applications, Classification methods, such as decision trees, k-nearest neighbour, and Na ve Bayes, ensemble learning methods such as random forest etc.", "source": "DS-English (2022).pdf", "chunk_id": 117, "language": "English", "was_translated": false }, { "text": "on trees, k-nearest neighbour, and Na ve Bayes, ensemble learning methods such as random forest etc., outlier detection methods, such as Simple Statistical Methods and local outlier factor (LOF), cluster analysis techniques, such as k-means, hierarchical methods, and density-based methods.", "source": "DS-English (2022).pdf", "chunk_id": 118, "language": "English", "was_translated": false }, { "text": "LOF), cluster analysis techniques, such as k-means, hierarchical methods, and density-based methods. Active learning methodologies will be applied through role playing, presentations and problem-solving exercises.", "source": "DS-English (2022).pdf", "chunk_id": 119, "language": "English", "was_translated": false }, { "text": "ing methodologies will be applied through role playing, presentations and problem-solving exercises.", "source": "DS-English (2022).pdf", "chunk_id": 120, "language": "English", "was_translated": false }, { "text": "Credit Hours Course Number Course Title Data Engineering and Analytics 1915231 3 Prerequisite: (1915121 + 1915111) Course Description This course will examine the typical Data Engineering pipeline includes architecting data platforms, designing data stores, ETL, data collection, importing, wrangling, querying, and analysing data.", "source": "DS-English (2022).pdf", "chunk_id": 121, "language": "English", "was_translated": false }, { "text": "ms, designing data stores, ETL, data collection, importing, wrangling, querying, and analysing data. It also includes performance monitoring and finetuning to ensure systems are performing at optimal levels. In addition, Data modelling and design techniques, Data storage and warehousing. Also, the course will discuss the popular data engineering tools such as Airflow.", "source": "DS-English (2022).pdf", "chunk_id": 122, "language": "English", "was_translated": false }, { "text": "e and warehousing. Also, the course will discuss the popular data engineering tools such as Airflow. Furthermore, this course introduces you to the core concepts, processes, and tools you need to know to get a foundational knowledge of data engineering.", "source": "DS-English (2022).pdf", "chunk_id": 123, "language": "English", "was_translated": false }, { "text": "concepts, processes, and tools you need to know to get a foundational knowledge of data engineering. You will gain an understanding of the modern data ecosystem and the role Data Engineers, Data Scientists, and Data Analysts play in this ecosystem. This course will discuss the exploratory data analysis, feature generation and extraction.", "source": "DS-English (2022).pdf", "chunk_id": 124, "language": "English", "was_translated": false }, { "text": "cosystem. This course will discuss the exploratory data analysis, feature generation and extraction. The course also includes hands-on labs and assignments that guide you to create and load data into the different types of databases, and perform some basic querying operations that help you understand your dataset. Lectures will be given in the lab for practical application.", "source": "DS-English (2022).pdf", "chunk_id": 125, "language": "English", "was_translated": false }, { "text": "that help you understand your dataset. Lectures will be given in the lab for practical application. This course is assessed through exams, practical tests and assignments. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 126, "language": "English", "was_translated": false }, { "text": "plication. This course is assessed through exams, practical tests and assignments. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 127, "language": "English", "was_translated": false }, { "text": "2 Study Plan- Bachelors 16 Credit Hours Course Number Course Title Applied Statistics 1915251 3 Prerequisite: (0301131) Course Description This course is an introduction to practical applied statistics with R, a programming language and software environment for statistical computing, and with RStudio, an integrated development environment for R.", "source": "DS-English (2022).pdf", "chunk_id": 128, "language": "English", "was_translated": false }, { "text": "nvironment for statistical computing, and with RStudio, an integrated development environment for R. Topics include introduction to R programming, summarizing data, probability and statistics in R, simple and multiple linear regression, categorical predictors and interactions, model diagnostics, collinearity, variable selection and model building, selected data analyses.", "source": "DS-English (2022).pdf", "chunk_id": 129, "language": "English", "was_translated": false }, { "text": "ons, model diagnostics, collinearity, variable selection and model building, selected data analyses. The course graphically introduces those concepts utilizing R as a programming environment for applying statistical/probabilistic methods and techniques. This course is a practical course and will contain small projects and programming assignments for specific problems using R programming language.", "source": "DS-English (2022).pdf", "chunk_id": 130, "language": "English", "was_translated": false }, { "text": "ntain small projects and programming assignments for specific problems using R programming language. Credit Hours Course Number 1905220 Course Title Ethics of Artificial Intelligence and Data Science 3 Prerequisite: (1915121) Course Description This course focuses on ethical issues in computing special in Artificial Intelligence (AI) and Data Science (DS).", "source": "DS-English (2022).pdf", "chunk_id": 131, "language": "English", "was_translated": false }, { "text": "ocuses on ethical issues in computing special in Artificial Intelligence (AI) and Data Science (DS). The main themes are privacy, fairness/bias, and explainability in AI and DS. The objectives are to learn how to identify and measure these aspects in the outputs of algorithms, and how to build algorithms that correct these issues.", "source": "DS-English (2022).pdf", "chunk_id": 132, "language": "English", "was_translated": false }, { "text": "e these aspects in the outputs of algorithms, and how to build algorithms that correct these issues. The course will follow a case-study-based approach, where we will examine these aspects by considering real-world case studies for each of these ethical issues.", "source": "DS-English (2022).pdf", "chunk_id": 133, "language": "English", "was_translated": false }, { "text": "will examine these aspects by considering real-world case studies for each of these ethical issues. It is intended to give students a chance to reflect on the ethical, social, and cultural impact of AI by focusing on the issues faced by and brought about by professionals in AI but also by citizens, institutions, and societies.", "source": "DS-English (2022).pdf", "chunk_id": 134, "language": "English", "was_translated": false }, { "text": "faced by and brought about by professionals in AI but also by citizens, institutions, and societies. Specific topics addressed in the course include the technical, safety-related, and economic implications of AI-enabled automation.", "source": "DS-English (2022).pdf", "chunk_id": 135, "language": "English", "was_translated": false }, { "text": "he course include the technical, safety-related, and economic implications of AI-enabled automation. Specific sub-areas include transportation, manufacturing, journalism, legal advising, and military applications; AI- endowed advisory tools in areas such as environmental and resource planning; biases and mediocrities in AIs, which can reinforce human prejudice.", "source": "DS-English (2022).pdf", "chunk_id": 136, "language": "English", "was_translated": false }, { "text": "onmental and resource planning; biases and mediocrities in AIs, which can reinforce human prejudice. Furthermore, this course covers ethical writing through many practical skills including referencing styles, citation (i.e.", "source": "DS-English (2022).pdf", "chunk_id": 137, "language": "English", "was_translated": false }, { "text": "se covers ethical writing through many practical skills including referencing styles, citation (i.e., Endnote, Mendeley, RefWorks, and Zotero), quotation, and also through the awareness of the good document requirements, plagiarism forms, copyrights, fair use, creative commons, and intellectual property rights.", "source": "DS-English (2022).pdf", "chunk_id": 138, "language": "English", "was_translated": false }, { "text": "rements, plagiarism forms, copyrights, fair use, creative commons, and intellectual property rights. This course will use a combination of lectures, class discussions, reading and writing assignments, case studies analysis, and hands-on work. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 139, "language": "English", "was_translated": false }, { "text": "ssions, reading and writing assignments, case studies analysis, and hands-on work. QF-AQAC-02.03.01.2 Study Plan- Bachelors 17 Credit Hours Course Number Course Title Information Security and Privacy 1911322 3 Prerequisite: (1901363 + 1902224) Course Description This course introduces information security and privacy.", "source": "DS-English (2022).pdf", "chunk_id": 140, "language": "English", "was_translated": false }, { "text": "ite: (1901363 + 1902224) Course Description This course introduces information security and privacy. The course covers topics related to cryptography such as symmetric and asymmetric encryptions, hash functions, digital signatures, key management, and public key infrastructures.", "source": "DS-English (2022).pdf", "chunk_id": 141, "language": "English", "was_translated": false }, { "text": "ric encryptions, hash functions, digital signatures, key management, and public key infrastructures. Also, the course covers topics related to network security as packet sniffing, spoofing, TLS, IPSec, Firewalls, wireless networks security. Furthermore, topics related to Authentication, Authorization, Web security and Steganography will be covered.", "source": "DS-English (2022).pdf", "chunk_id": 142, "language": "English", "was_translated": false }, { "text": "re, topics related to Authentication, Authorization, Web security and Steganography will be covered. Risk analysis and ethics, and their applications to the development of a secure healthcare systems as a case study will be presented. Practical hands-on will be provided.", "source": "DS-English (2022).pdf", "chunk_id": 143, "language": "English", "was_translated": false }, { "text": "a secure healthcare systems as a case study will be presented. Practical hands-on will be provided. Credit Hours Course Number Course Title Artificial Intelligence 1905320 3 Prerequisite: (1901242) Course Description The aim of the course is to enable students to solve problems using explicit knowledge and reasoning techniques and to develop expert systems for simple problems.", "source": "DS-English (2022).pdf", "chunk_id": 144, "language": "English", "was_translated": false }, { "text": "using explicit knowledge and reasoning techniques and to develop expert systems for simple problems.", "source": "DS-English (2022).pdf", "chunk_id": 145, "language": "English", "was_translated": false }, { "text": "Students will be able (1) to express knowledge of a simple domain in propositional and/or first-order predicate calculus, (2) to design and develop expert solutions to simple problems where AI techniques can be employed, and (3) to write simple programs in Prolog that reason about the available knowledge to achieve their goals.", "source": "DS-English (2022).pdf", "chunk_id": 146, "language": "English", "was_translated": false }, { "text": "to write simple programs in Prolog that reason about the available knowledge to achieve their goals. Furthermore, students will learn some simple blind and heuristic search algorithms such as depth-first, breadth-first, best-first, hill climbing, and simulated annealing and techniques on how to control search using production systems.", "source": "DS-English (2022).pdf", "chunk_id": 147, "language": "English", "was_translated": false }, { "text": "climbing, and simulated annealing and techniques on how to control search using production systems. They will also have the ability to decide the appropriate search techniques (blind or heuristic) for some problems. The students will also be given some grounding in the principal techniques of data mining and be introduced to some applications of data mining.", "source": "DS-English (2022).pdf", "chunk_id": 148, "language": "English", "was_translated": false }, { "text": "ng in the principal techniques of data mining and be introduced to some applications of data mining. Students will be introduced to some learning techniques to help obtain a clear picture of the concepts of machine learning. This course will use a combination of lectures, class discussions, reading and writing assignments, case studies analysis, and hands-on work. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 149, "language": "English", "was_translated": false }, { "text": "ssions, reading and writing assignments, case studies analysis, and hands-on work. QF-AQAC-02.03.01.2 Study Plan- Bachelors 18 Credit Hours Course Number Course Title NoSQL Databases 1915331 3 Prerequisite: (1902224) Course Description This course explores the origins of NoSQL databases and the characteristics that distinguish them from traditional relational database management systems.", "source": "DS-English (2022).pdf", "chunk_id": 150, "language": "English", "was_translated": false }, { "text": "d the characteristics that distinguish them from traditional relational database management systems. Core concepts of NoSQL databases will be presented, followed by an exploration of how different database technologies implement these core concepts.", "source": "DS-English (2022).pdf", "chunk_id": 151, "language": "English", "was_translated": false }, { "text": "ed, followed by an exploration of how different database technologies implement these core concepts. It gives a closer look at 1-2 databases from each of the four main NoSQL data models (key-value, column family, document, and graph), highlighting the business needs that drive the development and use of each database.", "source": "DS-English (2022).pdf", "chunk_id": 152, "language": "English", "was_translated": false }, { "text": "nt, and graph), highlighting the business needs that drive the development and use of each database. This course will introduce some examples of NoSQL databases such as Cassandra, MongoDB, Apache Hive, HBase, and Neo4j.", "source": "DS-English (2022).pdf", "chunk_id": 153, "language": "English", "was_translated": false }, { "text": "ntroduce some examples of NoSQL databases such as Cassandra, MongoDB, Apache Hive, HBase, and Neo4j. Finally, it presents criteria that decision makers should consider when choosing between relational and non-relational databases and techniques for selecting the NoSQL database that best addresses specific use cases.", "source": "DS-English (2022).pdf", "chunk_id": 154, "language": "English", "was_translated": false }, { "text": "al databases and techniques for selecting the NoSQL database that best addresses specific use cases. The course contains a practical application on NoSQL databases through small projects and weekly assignments. Credit Hours Course Number Course Title Theory of Algorithms 1901341 3 Prerequisite: (1901242) Course Description This is the first course in algorithms.", "source": "DS-English (2022).pdf", "chunk_id": 155, "language": "English", "was_translated": false }, { "text": "orithms 1901341 3 Prerequisite: (1901242) Course Description This is the first course in algorithms. The main goal is to introduce complexity analysis of algorithms with an emphasis on efficient design techniques for solving various computational problems. Topics include complexity analysis including big O, big omega, and big theta notations. Recurrence equations and recursive algorithms.", "source": "DS-English (2022).pdf", "chunk_id": 156, "language": "English", "was_translated": false }, { "text": "including big O, big omega, and big theta notations. Recurrence equations and recursive algorithms. Algorithm design techniques include sequential, divide-and- conquer, greedy, and dynamic programming. Sorting algorithms include insertion sort, merge sort, heap sort, and quicksort. Searching algorithms include breadth-first search and depth-first search.", "source": "DS-English (2022).pdf", "chunk_id": 157, "language": "English", "was_translated": false }, { "text": "heap sort, and quicksort. Searching algorithms include breadth-first search and depth-first search. Graph-based algorithms including Kruskal s algorithm. Optimization problems include minimum spanning tree and multistage graph problems. Implementation of several algorithms. The assessment of this course is through exams, quizzes, and assignments. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 158, "language": "English", "was_translated": false }, { "text": "orithms. The assessment of this course is through exams, quizzes, and assignments. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 159, "language": "English", "was_translated": false }, { "text": "2 Study Plan- Bachelors 19 Credit Hours Course Number 1915370 Course Title Machine Learning and Neural networks 3 Prerequisite: (1905222) Course Description This course will help students to develop basic understanding of principles of learning theory, theoretical and mathematical foundations of the machine learning and derive practical solutions using predictive analytics.", "source": "DS-English (2022).pdf", "chunk_id": 160, "language": "English", "was_translated": false }, { "text": "tical foundations of the machine learning and derive practical solutions using predictive analytics. In addition, it explains what machine learning is and how it is related to statistics and data analysis.", "source": "DS-English (2022).pdf", "chunk_id": 161, "language": "English", "was_translated": false }, { "text": "ddition, it explains what machine learning is and how it is related to statistics and data analysis.", "source": "DS-English (2022).pdf", "chunk_id": 162, "language": "English", "was_translated": false }, { "text": "The class will cover topics in regression, classification, mixture models, neural networks, basic deep learning, ensemble methods and reinforcement learning, hidden Markov models, and Bayesian networks, generative/discriminative learning, parametric/non-parametric learning, support vector machines, unsupervised learning, expectation maximization, dimensionality reduction, and kernel methods.", "source": "DS-English (2022).pdf", "chunk_id": 163, "language": "English", "was_translated": false }, { "text": "ines, unsupervised learning, expectation maximization, dimensionality reduction, and kernel methods. The course will also discuss recent applications of machine learning, autonomous navigation, bioinformatics, speech recognition, and text and web data processing.", "source": "DS-English (2022).pdf", "chunk_id": 164, "language": "English", "was_translated": false }, { "text": "arning, autonomous navigation, bioinformatics, speech recognition, and text and web data processing. Delivery will combine traditional lectures with other active teaching methodologies, such as group discussions, group solving problems, analysis of cases and debates, case study from different domains, and assignments.", "source": "DS-English (2022).pdf", "chunk_id": 165, "language": "English", "was_translated": false }, { "text": "solving problems, analysis of cases and debates, case study from different domains, and assignments.", "source": "DS-English (2022).pdf", "chunk_id": 166, "language": "English", "was_translated": false }, { "text": "Credit Hours Course Number 1915371 Course Title Pattern Recognition and Information Analysis 3 Prerequisite: (1905222) Course Description The course aims to cover a wide understanding of different related topics, such as pattern recognition systems, pre-processing, and feature extraction from images and documents, supervised and unsupervised learning, object classification and recognition.", "source": "DS-English (2022).pdf", "chunk_id": 167, "language": "English", "was_translated": false }, { "text": "m images and documents, supervised and unsupervised learning, object classification and recognition. In addition, the course aims at studying the concepts of information retrieval, and text and document mining. Furthermore, the course will introduce the recommendation systems based on pattern recognition such as collaborative and content-based recommendation systems.", "source": "DS-English (2022).pdf", "chunk_id": 168, "language": "English", "was_translated": false }, { "text": "systems based on pattern recognition such as collaborative and content-based recommendation systems. Active learning methodologies will be applied through role-playing, presentations and problem-solving exercises. Moreover, hands-on practice on developing and modelling knowledge graphs will be weekly practiced in the lab. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 169, "language": "English", "was_translated": false }, { "text": "on developing and modelling knowledge graphs will be weekly practiced in the lab. QF-AQAC-02.03.01.2 Study Plan- Bachelors 20 Credit Hours Course Number Course Title Computer Networks 1901363 3 Prerequisite: (1901242) Course Description This course explores key concepts and essential technologies of computer networks and broad range of topics in networking.", "source": "DS-English (2022).pdf", "chunk_id": 170, "language": "English", "was_translated": false }, { "text": "ey concepts and essential technologies of computer networks and broad range of topics in networking.", "source": "DS-English (2022).pdf", "chunk_id": 171, "language": "English", "was_translated": false }, { "text": "It includes general overview, networks applications, network classifications and topologies, network layers, channel performance measures, transmission media, communication network protocols and architecture; Data link layer: framing, error detection and correction, CSMA/CD, LAN IEEE standards; Network layer: IP service model, IP addressing, subnetting, host configuration DHCP, ARP Protocol,", "source": "DS-English (2022).pdf", "chunk_id": 172, "language": "English", "was_translated": false }, { "text": "; Network layer: IP service model, IP addressing, subnetting, host configuration DHCP, ARP Protocol, ICMP protocol; Transport layer: UDP protocol, TCP protocol, TCP reliable transfer and sliding window, TCP flow and congestion control; Application layer: DNS protocol, NAT protocol, HTTP protocol, persistent and non- persistent HTTP connection. Weekly practice in the lab.", "source": "DS-English (2022).pdf", "chunk_id": 173, "language": "English", "was_translated": false }, { "text": "protocol, HTTP protocol, persistent and non- persistent HTTP connection. Weekly practice in the lab. Credit Hours Course Number Course Title Software Engineering 1902372 3 Prerequisite: (1902224) Course Description This course aims is to present software engineering as a body of knowledge.", "source": "DS-English (2022).pdf", "chunk_id": 174, "language": "English", "was_translated": false }, { "text": "2224) Course Description This course aims is to present software engineering as a body of knowledge. The course is designed to present software engineering concepts and principles in parallel with the Software Development Life Cycle (SDLC).", "source": "DS-English (2022).pdf", "chunk_id": 175, "language": "English", "was_translated": false }, { "text": "are engineering concepts and principles in parallel with the Software Development Life Cycle (SDLC). The course will begin with an introduction to software engineering, giving students a definition of this body of knowledge, as well as a discussion of the main methodologies of software engineering including agile methods i.e., XP.", "source": "DS-English (2022).pdf", "chunk_id": 176, "language": "English", "was_translated": false }, { "text": "as a discussion of the main methodologies of software engineering including agile methods i.e., XP. Students will then learn about the five major phases of the SDLC: requirements gathering and analysis, design, coding/implementation, validation, and evolution.", "source": "DS-English (2022).pdf", "chunk_id": 177, "language": "English", "was_translated": false }, { "text": "SDLC: requirements gathering and analysis, design, coding/implementation, validation, and evolution. This includes software modelling using Unified Modelling Language (UML), a standardized general-purpose modelling language used to create visual models of object- oriented software, for requirements gathering and analysis, and design.", "source": "DS-English (2022).pdf", "chunk_id": 178, "language": "English", "was_translated": false }, { "text": "ate visual models of object- oriented software, for requirements gathering and analysis, and design. Students will also learn about project management and quality management for the purpose of delivering high-quality software that satisfies customer needs and is within budget and schedule.", "source": "DS-English (2022).pdf", "chunk_id": 179, "language": "English", "was_translated": false }, { "text": "of delivering high-quality software that satisfies customer needs and is within budget and schedule. Delivery will be by in- class lectures, recorded lectures, practical sessions in the lab, case studies from different domains (i.e., healthcare domain), and assignments. Assignments will include a term project illustrative of professional practice in developing computer information systems.", "source": "DS-English (2022).pdf", "chunk_id": 180, "language": "English", "was_translated": false }, { "text": "ude a term project illustrative of professional practice in developing computer information systems. One or two guest speakers with many years of experience in software engineering will be invited to share their first-hand experience with students. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 181, "language": "English", "was_translated": false }, { "text": "re engineering will be invited to share their first-hand experience with students. QF-AQAC-02.03.01.2 Study Plan- Bachelors 21 Credit Hours Course Number Course Title Natural Language Processing 1905380 3 Prerequisite: (1905320) Course Description The aim of the course is to introduce students to the concepts of Natural Language Processing and its applications.", "source": "DS-English (2022).pdf", "chunk_id": 182, "language": "English", "was_translated": false }, { "text": "course is to introduce students to the concepts of Natural Language Processing and its applications. It discusses linguistic theories and computational techniques.", "source": "DS-English (2022).pdf", "chunk_id": 183, "language": "English", "was_translated": false }, { "text": "uage Processing and its applications. It discusses linguistic theories and computational techniques.", "source": "DS-English (2022).pdf", "chunk_id": 184, "language": "English", "was_translated": false }, { "text": "The course covers the topics of Origins of Natural Language Processing (NLP); Language structure representation; The role of knowledge; Knowledge representation; Parsing techniques; Finite-state techniques; Recursive and augmented transition networks; Language ambiguity; Well-Formed constructs; Features and the lexicon; Language semantics; and Applications.", "source": "DS-English (2022).pdf", "chunk_id": 185, "language": "English", "was_translated": false }, { "text": "e ambiguity; Well-Formed constructs; Features and the lexicon; Language semantics; and Applications. Examples of NLP applications that are covered by this course include; machine translation, information retrieval, text summarization, reference resolution, question answering, parsing, sense disambiguation, morphological analysis, speech analysis and synthesis.", "source": "DS-English (2022).pdf", "chunk_id": 186, "language": "English", "was_translated": false }, { "text": "ion answering, parsing, sense disambiguation, morphological analysis, speech analysis and synthesis. Active learning methodologies will be applied through role playing, presentations and problem-solving exercises. Moreover, hands-on practice on using NLTK (Natural Language Toolkit) is weekly practiced in the lab.", "source": "DS-English (2022).pdf", "chunk_id": 187, "language": "English", "was_translated": false }, { "text": "Moreover, hands-on practice on using NLTK (Natural Language Toolkit) is weekly practiced in the lab. In addition, guest speakers belonging to the Jordan s ICT will demonstrate state-of-the-art practices and application of NLP.", "source": "DS-English (2022).pdf", "chunk_id": 188, "language": "English", "was_translated": false }, { "text": "rs belonging to the Jordan s ICT will demonstrate state-of-the-art practices and application of NLP. Credit Hours Course Number Course Title 1915431 Big Data 3 Prerequisite: (1915461) Course Description This course shall first introduce the overview Big Data applications, market trend, and the things to learn.", "source": "DS-English (2022).pdf", "chunk_id": 189, "language": "English", "was_translated": false }, { "text": "rse shall first introduce the overview Big Data applications, market trend, and the things to learn. Then, will introduce the fundamental platforms, such as MapReduce, Hadoop ecosystem, Spark, H2O Framework, Apache Storm, and other tools. Afterwards, the course will introduce several data storage methods and how to upload, distribute, and process them.", "source": "DS-English (2022).pdf", "chunk_id": 190, "language": "English", "was_translated": false }, { "text": "course will introduce several data storage methods and how to upload, distribute, and process them. This shall include HDFS, HBase, Pig, and Hive, document database, and graph database. The course will go on to introduce different ways of handling data analytics algorithms on different platforms. Then, the course will introduce visualization issues on Big Data.", "source": "DS-English (2022).pdf", "chunk_id": 191, "language": "English", "was_translated": false }, { "text": "algorithms on different platforms. Then, the course will introduce visualization issues on Big Data. It also provides a first hands-on experience in handling and analyzing large, complex structured, semi-structured, and unstructured data. Students will then have fundamental knowledge on Big Data to handle various real-world challenges.", "source": "DS-English (2022).pdf", "chunk_id": 192, "language": "English", "was_translated": false }, { "text": ". Students will then have fundamental knowledge on Big Data to handle various real-world challenges. The course will zoom in to discuss large-scale machine learning methods, and related big data frameworks. The course contains a set of homeworks and weekly tasks.", "source": "DS-English (2022).pdf", "chunk_id": 193, "language": "English", "was_translated": false }, { "text": "g methods, and related big data frameworks. The course contains a set of homeworks and weekly tasks. The course hosts several experts in the field of big data from the local market to cover the practical side of the course and to share their first-hand experience with students. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 194, "language": "English", "was_translated": false }, { "text": "actical side of the course and to share their first-hand experience with students. QF-AQAC-02.03.01.2 Study Plan- Bachelors 22 Credit Hours Course Number Course Title Data Visualization 1915441 3 Prerequisite: (1915370) Course Description This course will give you the skills you need to leverage data to reveal valuable insights and advance your career.", "source": "DS-English (2022).pdf", "chunk_id": 195, "language": "English", "was_translated": false }, { "text": "l give you the skills you need to leverage data to reveal valuable insights and advance your career. The course will focus on studying algorithms for creating effective visualizations capable of promoting data comprehension and analysis. The course discusses the key techniques and theory used in visualization, including data models, graphical perception, and visual encoding and interaction.", "source": "DS-English (2022).pdf", "chunk_id": 196, "language": "English", "was_translated": false }, { "text": "in visualization, including data models, graphical perception, and visual encoding and interaction. Students will learn about the variety of existing approaches and systems in data visualization and develop skills in evaluating different visualization techniques as applied to particular tasks.", "source": "DS-English (2022).pdf", "chunk_id": 197, "language": "English", "was_translated": false }, { "text": "and develop skills in evaluating different visualization techniques as applied to particular tasks. Also, these visualization techniques will be used to display data through static and interactive forms and graphics that help in understanding relationships and communicating with non-specialists.", "source": "DS-English (2022).pdf", "chunk_id": 198, "language": "English", "was_translated": false }, { "text": "forms and graphics that help in understanding relationships and communicating with non-specialists. The course also discusses visual representation methods, such as graph drawing, parallel coordinates, tree mapping, and encourages students to design new innovative visualizations and experiment their potentials on case studies of various data sources.", "source": "DS-English (2022).pdf", "chunk_id": 199, "language": "English", "was_translated": false }, { "text": "w innovative visualizations and experiment their potentials on case studies of various data sources. In addition, the course will introduce the popular packages in python programming and other open sources visualization tools.", "source": "DS-English (2022).pdf", "chunk_id": 200, "language": "English", "was_translated": false }, { "text": "ill introduce the popular packages in python programming and other open sources visualization tools. Delivery will combine traditional lectures with other active teaching methodologies, such as group discussions, group solving problems, analysis of cases and debates, case study from different domains, and assignments.", "source": "DS-English (2022).pdf", "chunk_id": 201, "language": "English", "was_translated": false }, { "text": "solving problems, analysis of cases and debates, case study from different domains, and assignments. Credit Hours Course Number Course Title Cloud Computing 1915461 3 Prerequisite: (1905222 + 1901363) Course Description The course discusses the basic APIs used in the Microsoft and Amazon Clouds, including the techniques for building, deploying, and maintaining machine images and applications.", "source": "DS-English (2022).pdf", "chunk_id": 202, "language": "English", "was_translated": false }, { "text": ", including the techniques for building, deploying, and maintaining machine images and applications. Student will learn how to use Cloud as the infrastructure for existing and new services.", "source": "DS-English (2022).pdf", "chunk_id": 203, "language": "English", "was_translated": false }, { "text": "plications. Student will learn how to use Cloud as the infrastructure for existing and new services. They will use open source implementations of highly available clustering computational environments, as well as the Representational State Transfer Web Services called (RESTful), to build very powerful and efficient applications.", "source": "DS-English (2022).pdf", "chunk_id": 204, "language": "English", "was_translated": false }, { "text": "nal State Transfer Web Services called (RESTful), to build very powerful and efficient applications. Also, students will learn how to deal with not trivial issues in the Cloud, such as load balancing, caching, distributed transactions, and identity and authorization management. It is expected that students will become familiar with Linux OS.", "source": "DS-English (2022).pdf", "chunk_id": 205, "language": "English", "was_translated": false }, { "text": "ntity and authorization management. It is expected that students will become familiar with Linux OS.", "source": "DS-English (2022).pdf", "chunk_id": 206, "language": "English", "was_translated": false }, { "text": "In addition, the course will cover Container Orchestration, Docker, Kubernetes, Cloud-based File System, Cloud-based Databases, Scalable Data Storage, Cloud based Machine Learning, Cloud based Analytics, Graph Processing, Graph Databases on the Cloud, introduction to Big Data Programming frameworks such as MapReduce, Spark, and Hadoop.", "source": "DS-English (2022).pdf", "chunk_id": 207, "language": "English", "was_translated": false }, { "text": "on the Cloud, introduction to Big Data Programming frameworks such as MapReduce, Spark, and Hadoop. It covers topics of data centers, virtualization, cloud storage, and programming models. The course also addresses the motivating factors, benefits, challenges and the service model. The course introduces several concepts in the design and management of data centers.", "source": "DS-English (2022).pdf", "chunk_id": 208, "language": "English", "was_translated": false }, { "text": "service model. The course introduces several concepts in the design and management of data centers. It also presents concepts such data distribution, robustness, consistency and redundancy. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 209, "language": "English", "was_translated": false }, { "text": "presents concepts such data distribution, robustness, consistency and redundancy. QF-AQAC-02.03.01.2 Study Plan- Bachelors 23 Delivery will combine traditional lectures with other active teaching methodologies, such as group discussions, group solving problems, analysis of cases and debates, case study from different domains, and assignments.", "source": "DS-English (2022).pdf", "chunk_id": 210, "language": "English", "was_translated": false }, { "text": "solving problems, analysis of cases and debates, case study from different domains, and assignments. Credit Hours Course Number Course Title Deep Learning 1915471 3 Prerequisite: (1915370) Course Description This course will introduce students to the concept of Deep learning, and it will help students to understand its key principles.", "source": "DS-English (2022).pdf", "chunk_id": 211, "language": "English", "was_translated": false }, { "text": "tudents to the concept of Deep learning, and it will help students to understand its key principles. The course covers feed-forward neural networks, convolutional neural networks, recurrent neural network, deep reinforcement learning, and other fundamental concepts and techniques. This course will also teach the students the mathematical foundation underlying deep learning.", "source": "DS-English (2022).pdf", "chunk_id": 212, "language": "English", "was_translated": false }, { "text": "ques. This course will also teach the students the mathematical foundation underlying deep learning. It is expected by the end of the course, students will be able to build, train and apply fully connected deep neural networks, and to know how to implement efficient deep neural networks using the most popular libraries for Deep Learning such as Keras, PyTorch, and TensorFlow.", "source": "DS-English (2022).pdf", "chunk_id": 213, "language": "English", "was_translated": false }, { "text": "networks using the most popular libraries for Deep Learning such as Keras, PyTorch, and TensorFlow. The course will introduce students also to a wide spectrum of deep learning applications in real-word problems.", "source": "DS-English (2022).pdf", "chunk_id": 214, "language": "English", "was_translated": false }, { "text": "will introduce students also to a wide spectrum of deep learning applications in real-word problems. Delivery will combine traditional lectures with other active teaching methodologies, such as group discussions, group solving problems, analysis of cases and debates, case study from different domains, and assignments.", "source": "DS-English (2022).pdf", "chunk_id": 215, "language": "English", "was_translated": false }, { "text": "solving problems, analysis of cases and debates, case study from different domains, and assignments. Credit Hours Course Number Course Title Model Deployment Frameworks 1915481 3 Prerequisite: (1915370) Course Description In this course, the student will learn how to deploy ML models and make them available to end- users.", "source": "DS-English (2022).pdf", "chunk_id": 216, "language": "English", "was_translated": false }, { "text": "n this course, the student will learn how to deploy ML models and make them available to end- users. In addition, the student will learn about the Model Deployment Platforms such as Django and Flask, and others. The student will build scalable and reliable infrastructure to deliver inference requests both in real-time and batch depending on the use case.", "source": "DS-English (2022).pdf", "chunk_id": 217, "language": "English", "was_translated": false }, { "text": "infrastructure to deliver inference requests both in real-time and batch depending on the use case. Student will also implement workflow automation and progressive delivery that complies with current MLOps practices to keep your production system running.", "source": "DS-English (2022).pdf", "chunk_id": 218, "language": "English", "was_translated": false }, { "text": "gressive delivery that complies with current MLOps practices to keep your production system running. Additionally, you will continuously monitor your system to detect model decay, remediate performance drops, and avoid system failures so it can continuously operate at all times.", "source": "DS-English (2022).pdf", "chunk_id": 219, "language": "English", "was_translated": false }, { "text": "remediate performance drops, and avoid system failures so it can continuously operate at all times. Delivery will combine traditional lectures with other active teaching methodologies, such as group discussions, group solving problems, analysis of cases and debates, case study from different domains, and assignments. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 220, "language": "English", "was_translated": false }, { "text": "analysis of cases and debates, case study from different domains, and assignments. QF-AQAC-02.03.01.2 Study Plan- Bachelors 24 Credit Hours Course Number Course Title 1915490 Training 0 Prerequisite: (Success 90 hours) Course Description The student must be trained in an institution, for at least 6 weeks.", "source": "DS-English (2022).pdf", "chunk_id": 221, "language": "English", "was_translated": false }, { "text": "ss 90 hours) Course Description The student must be trained in an institution, for at least 6 weeks. The student must provide a report from the institution/enterprise that shows the efficiency of this training according to the regulations of the Dean's Council of the Faculty's Departments or get a certificate in one of the information technology fields from a recognized institute.", "source": "DS-English (2022).pdf", "chunk_id": 222, "language": "English", "was_translated": false }, { "text": "tments or get a certificate in one of the information technology fields from a recognized institute.", "source": "DS-English (2022).pdf", "chunk_id": 223, "language": "English", "was_translated": false }, { "text": "Credit Hours Course Number Course Title 1915491 Project-1 0 Prerequisite: (Success 90 hours) Course Description Project includes theoretical and practical aspects in Computer Science; the first stage of the graduation project, includes project proposal, analysis and preparation, and project design stages. A report at the end of each stage should be delivered to the department and the supervisor.", "source": "DS-English (2022).pdf", "chunk_id": 224, "language": "English", "was_translated": false }, { "text": "stages. A report at the end of each stage should be delivered to the department and the supervisor. Credit Hours Course Number Course Title 1915492 Project- 2 3 Prerequisite: (1915491) Course Description It includes the second stage of the graduation project, which covers the implementation, testing and evaluation stages, and completing the project in its final version.", "source": "DS-English (2022).pdf", "chunk_id": 225, "language": "English", "was_translated": false }, { "text": "the implementation, testing and evaluation stages, and completing the project in its final version. A documentation of the whole project should be delivered to the department and the supervisor. Finally, the project should be submitted for presentation and final examination. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 226, "language": "English", "was_translated": false }, { "text": ". Finally, the project should be submitted for presentation and final examination. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 227, "language": "English", "was_translated": false }, { "text": "2 Study Plan- Bachelors 25 C - Elective Courses Description Credit Hours Course Number Course Title Bioinformatics 1915342 3 Prerequisite: (1905222) Course Description This course explores how the integration of computer science, statistics and mathematics knowledge can be used to tackle complex life sciences problems.", "source": "DS-English (2022).pdf", "chunk_id": 228, "language": "English", "was_translated": false }, { "text": "science, statistics and mathematics knowledge can be used to tackle complex life sciences problems. It covers several topics like: general genomics, cells and DNA sequence features; sequence alignment; sequence motifs; search sequence databases; phylogenetic trees; Hidden Markov Models, and microarray data analysis: normalization and clustering; other emerging topics.", "source": "DS-English (2022).pdf", "chunk_id": 229, "language": "English", "was_translated": false }, { "text": "en Markov Models, and microarray data analysis: normalization and clustering; other emerging topics. Active learning methodologies will be applied through role- playing, presentations and problem-solving exercises. The students are required to present case studies on one of the related topics.", "source": "DS-English (2022).pdf", "chunk_id": 230, "language": "English", "was_translated": false }, { "text": "m-solving exercises. The students are required to present case studies on one of the related topics.", "source": "DS-English (2022).pdf", "chunk_id": 231, "language": "English", "was_translated": false }, { "text": "Credit Hours Course Number Course Title Financial and Business Data Analytics 1915252 3 Prerequisite: (1905222) Course Description This course reveals the reality of the data analytics world and outlines clear and actionable steps that will equip the student with the tools needed for this next phase of business evolution.", "source": "DS-English (2022).pdf", "chunk_id": 232, "language": "English", "was_translated": false }, { "text": "e steps that will equip the student with the tools needed for this next phase of business evolution. It will help you understand the basic concepts in data analytics as well as financial and business applications. It contains proven steps and strategies on how to use everyday data analytics for financial services to increase profitability and customer satisfaction.", "source": "DS-English (2022).pdf", "chunk_id": 233, "language": "English", "was_translated": false }, { "text": "everyday data analytics for financial services to increase profitability and customer satisfaction. Furthermore, the student will apply the data mining concepts on different types of financial and business datasets. In addition, the students will learn about the business intelligence concepts and the popular BI tools such as power BI, and Tableau. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 234, "language": "English", "was_translated": false }, { "text": "ness intelligence concepts and the popular BI tools such as power BI, and Tableau. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 235, "language": "English", "was_translated": false }, { "text": "2 Study Plan- Bachelors 26 Credit Hours Course Number 1915232 Course Title Data Management and Governance 3 Prerequisite: (1905222) Course Description This course introduces the fundamentals of data governance, and management, creating a data governance strategy, benefits from data governance, data governance implementations, managing, monitoring, and measuring data governance efforts.", "source": "DS-English (2022).pdf", "chunk_id": 236, "language": "English", "was_translated": false }, { "text": "nance, data governance implementations, managing, monitoring, and measuring data governance efforts.", "source": "DS-English (2022).pdf", "chunk_id": 237, "language": "English", "was_translated": false }, { "text": "The student will learn about the roles & responsibilities in a data Governance, data Governance challenges, the difference between data governance and data Management, setting up a data governance Framework, data governance tools and techniques, data governance implementations, and best practices of data governance and data management.", "source": "DS-English (2022).pdf", "chunk_id": 238, "language": "English", "was_translated": false }, { "text": "hniques, data governance implementations, and best practices of data governance and data management. Delivery will combine traditional lectures with other active teaching methodologies, such as group discussions, group solving problems, analysis of cases and debates, case study from different domains, and assignments.", "source": "DS-English (2022).pdf", "chunk_id": 239, "language": "English", "was_translated": false }, { "text": "solving problems, analysis of cases and debates, case study from different domains, and assignments. In addition, The course will host a number of experts in the field of data management from the local market to cover the practical side of the course and share their first-hand experience with students.", "source": "DS-English (2022).pdf", "chunk_id": 240, "language": "English", "was_translated": false }, { "text": "arket to cover the practical side of the course and share their first-hand experience with students. Credit Hours Course Number 1905310 Course Title Advance AI programming 3 Prerequisite: (1915111 + 1902110) Course Description This course will focus on understanding of how to perform Machine Learning with Python.", "source": "DS-English (2022).pdf", "chunk_id": 241, "language": "English", "was_translated": false }, { "text": "Description This course will focus on understanding of how to perform Machine Learning with Python. In this course, student will learn to understand and format problems to be solved using ML techniques.", "source": "DS-English (2022).pdf", "chunk_id": 242, "language": "English", "was_translated": false }, { "text": "this course, student will learn to understand and format problems to be solved using ML techniques. They will also gain knowledge representation skills for preparing data to be used in prediction tasks and they will acquire expertise in creating models by combing the data with algorithms in that can predict the future.", "source": "DS-English (2022).pdf", "chunk_id": 243, "language": "English", "was_translated": false }, { "text": "ire expertise in creating models by combing the data with algorithms in that can predict the future. Students will learn how to use Python and libraries such as it scikit-learn to create Machine Learning solutions.", "source": "DS-English (2022).pdf", "chunk_id": 244, "language": "English", "was_translated": false }, { "text": "learn how to use Python and libraries such as it scikit-learn to create Machine Learning solutions.", "source": "DS-English (2022).pdf", "chunk_id": 245, "language": "English", "was_translated": false }, { "text": "This course will cover an introduction to ML and applications, setting up a Python development environment correctly, complete machine learning tool sets, the various regression, classification and other ML algorithms performance metrics such as R-squared, MSE, accuracy, confusion matrix, precision, recall, etc.", "source": "DS-English (2022).pdf", "chunk_id": 246, "language": "English", "was_translated": false }, { "text": "thms performance metrics such as R-squared, MSE, accuracy, confusion matrix, precision, recall, etc., unsupervised Machine Learning (ML) algorithms such as Hierarchical clustering, k-means clustering etc.", "source": "DS-English (2022).pdf", "chunk_id": 247, "language": "English", "was_translated": false }, { "text": "supervised Machine Learning (ML) algorithms such as Hierarchical clustering, k-means clustering etc., Jupyter (IPython) notebook, Spyder and various IDE, Communicating visually and effectively with Matplotlib and Seaborn, using of train/test, K-fold and Stratified K-fold cross validation to select correct model and predict model perform with unseen data, and much more.", "source": "DS-English (2022).pdf", "chunk_id": 248, "language": "English", "was_translated": false }, { "text": "cross validation to select correct model and predict model perform with unseen data, and much more. Active learning methodologies will be applied through role-playing, presentations and problem-solving exercises. Moreover, hands-on practice on developing real-world IoT applications will be weekly practiced in the lab. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 249, "language": "English", "was_translated": false }, { "text": "ice on developing real-world IoT applications will be weekly practiced in the lab. QF-AQAC-02.03.01.2 Study Plan- Bachelors 27 Credit Hours Course Number 1915341 Course Title Social Network Analysis 3 Prerequisite: (1915222 + 1901341) Course Description This course gives a basic understanding of what social network analysis is and how it can be applied.", "source": "DS-English (2022).pdf", "chunk_id": 250, "language": "English", "was_translated": false }, { "text": "his course gives a basic understanding of what social network analysis is and how it can be applied. The course will cover recent information on the structure and analysis of large social and information networks and on models and algorithms that abstract their basic properties.", "source": "DS-English (2022).pdf", "chunk_id": 251, "language": "English", "was_translated": false }, { "text": "e social and information networks and on models and algorithms that abstract their basic properties. In this course student will learn about social networks structure and evolution, and how to practically analyze large-scale network data and how to reason about it.", "source": "DS-English (2022).pdf", "chunk_id": 252, "language": "English", "was_translated": false }, { "text": "e and evolution, and how to practically analyze large-scale network data and how to reason about it. Topics covered in this course includes graph theory, link prediction, recommendation systems, graph mining, network community detection, graph visualization, graph data science, information propagation on the web, and connections with work in the social sciences and economics.", "source": "DS-English (2022).pdf", "chunk_id": 253, "language": "English", "was_translated": false }, { "text": "information propagation on the web, and connections with work in the social sciences and economics. Credit Hours Course Number Course Title Healthcare and Medical Data Analytics 1915352 3 Prerequisite: (1905222) Course Description This course introduces the characteristics of medical data and associated data mining challenges on dealing with such data.", "source": "DS-English (2022).pdf", "chunk_id": 254, "language": "English", "was_translated": false }, { "text": "the characteristics of medical data and associated data mining challenges on dealing with such data. It focuses on studying those data science techniques in the context of concrete healthcare analytic applications such as predictive modelling, computational phenotyping and patient similarity, diseases detection.", "source": "DS-English (2022).pdf", "chunk_id": 255, "language": "English", "was_translated": false }, { "text": "such as predictive modelling, computational phenotyping and patient similarity, diseases detection. In this course, the students will learn how can the application of data analytics improve health and health care and how the data analytics-based solutions can result in better diagnosis, and better care.", "source": "DS-English (2022).pdf", "chunk_id": 256, "language": "English", "was_translated": false }, { "text": "lth care and how the data analytics-based solutions can result in better diagnosis, and better care. In healthcare, large amounts of heterogeneous medical data have become available in various healthcare organizations (payers, providers, pharmaceuticals). This data could be an enabling resource for deriving insights for improving care delivery and reducing waste.", "source": "DS-English (2022).pdf", "chunk_id": 257, "language": "English", "was_translated": false }, { "text": "could be an enabling resource for deriving insights for improving care delivery and reducing waste. The enormity and complexity of these datasets present great challenges in analyses and subsequent applications to a practical clinical environment.", "source": "DS-English (2022).pdf", "chunk_id": 258, "language": "English", "was_translated": false }, { "text": "resent great challenges in analyses and subsequent applications to a practical clinical environment. The basics of data mining within the context of a wide variety of health care settings, and the types of data and data analysis challenges that you will likely encounter by gathering the data, move on to classifying, analyzing and finally visualizing medical data.", "source": "DS-English (2022).pdf", "chunk_id": 259, "language": "English", "was_translated": false }, { "text": "unter by gathering the data, move on to classifying, analyzing and finally visualizing medical data. The course will host a number of experts in the field of IT operations and related healthcare sector from the local market to cover the practical side of the course and share their first-hand experience with students. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 260, "language": "English", "was_translated": false }, { "text": "practical side of the course and share their first-hand experience with students. QF-AQAC-02.03.01.2 Study Plan- Bachelors 28 Credit Hours Course Number Course Title Mining Software Repositories 1915353 3 Prerequisite: (1915370) Course Description This course introduces the methods and tools of mining software repositories and artifacts used by software developers and researchers.", "source": "DS-English (2022).pdf", "chunk_id": 261, "language": "English", "was_translated": false }, { "text": "and tools of mining software repositories and artifacts used by software developers and researchers. Students will learn to extract and abstract data from software artifacts and repositories such as source code, version control systems and revisions, mailing-lists and discussions, and issue-trackers and issues.", "source": "DS-English (2022).pdf", "chunk_id": 262, "language": "English", "was_translated": false }, { "text": "version control systems and revisions, mailing-lists and discussions, and issue-trackers and issues. The students will learn how to use machine learning to solve many problems in software Engineering.", "source": "DS-English (2022).pdf", "chunk_id": 263, "language": "English", "was_translated": false }, { "text": "The students will learn how to use machine learning to solve many problems in software Engineering. Students will also learn about various techniques of analyzing this data to identify meaningful relationships, patterns and trends, to recover behaviours and software development processes from evidence, or to empirically test hypotheses about software development.", "source": "DS-English (2022).pdf", "chunk_id": 264, "language": "English", "was_translated": false }, { "text": "e development processes from evidence, or to empirically test hypotheses about software development.", "source": "DS-English (2022).pdf", "chunk_id": 265, "language": "English", "was_translated": false }, { "text": "Course Title Information Technology Entrepreneurship and Credit Hours Course Number 1902383 3 Innovation Prerequisite: (1902224) Course Description This course is to introduce students to new and innovative technologies and examine how these powerful systems have fundamentally reshaped modern organizations.", "source": "DS-English (2022).pdf", "chunk_id": 266, "language": "English", "was_translated": false }, { "text": "echnologies and examine how these powerful systems have fundamentally reshaped modern organizations. These new information technologies are being used to change how organizations operate, produce products and services, and communicate both internally and as well as with external partners.", "source": "DS-English (2022).pdf", "chunk_id": 267, "language": "English", "was_translated": false }, { "text": "roduce products and services, and communicate both internally and as well as with external partners.", "source": "DS-English (2022).pdf", "chunk_id": 268, "language": "English", "was_translated": false }, { "text": "Using online collaborative technologies that were developed in the context of social networking and online communities and data-driven and Artificial Intelligence technologies, corporations are reengineering both internal business processes and those related to customers, suppliers, and business partners.", "source": "DS-English (2022).pdf", "chunk_id": 269, "language": "English", "was_translated": false }, { "text": "g both internal business processes and those related to customers, suppliers, and business partners. Developing innovative ways to communicate and collaborate can lead to new business opportunities and new efficiencies.", "source": "DS-English (2022).pdf", "chunk_id": 270, "language": "English", "was_translated": false }, { "text": "ive ways to communicate and collaborate can lead to new business opportunities and new efficiencies.", "source": "DS-English (2022).pdf", "chunk_id": 271, "language": "English", "was_translated": false }, { "text": "This course investigates the technologies, methods, and practices of developing new innovations such as online communities, data revolution, and the Artificial Intelligence paradigms to reengineer business processes and develop innovative, value-adding, and sustainable business activities within existing corporations and new start-ups.", "source": "DS-English (2022).pdf", "chunk_id": 272, "language": "English", "was_translated": false }, { "text": "e, value-adding, and sustainable business activities within existing corporations and new start-ups. The students will learn how to translate innovative, data-driven, and AI ideas into concrete project requirements, develop technological solutions, launch a business venture, and assess its effectiveness. Delivery will combine traditional lectures with other active teaching methodologies.", "source": "DS-English (2022).pdf", "chunk_id": 273, "language": "English", "was_translated": false }, { "text": "effectiveness. Delivery will combine traditional lectures with other active teaching methodologies. A case study of innovative Healthcare Information Systems (HCIS) is selected for discussion throughout the course to highlight basic concepts of innovative HCIS project development. Students are advised to develop innovative solutions for simple problems in HCIS. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 274, "language": "English", "was_translated": false }, { "text": "Students are advised to develop innovative solutions for simple problems in HCIS. QF-AQAC-02.03.01.2 Study Plan- Bachelors 29 Course Number Credit Hours Course Title Time Series Analysis 3 1915442 Prerequisite: (1915370) Course Description This course introduces time series analysis using modern methodologies.", "source": "DS-English (2022).pdf", "chunk_id": 275, "language": "English", "was_translated": false }, { "text": "(1915370) Course Description This course introduces time series analysis using modern methodologies.", "source": "DS-English (2022).pdf", "chunk_id": 276, "language": "English", "was_translated": false }, { "text": "Topics covered are: descriptive methods, plots, smoothing, differencing; the autocorrelation function, the correlogram and variogram, the periodogram; estimation and elimination of trend and seasonal components; stationary processes, modelling and forecasting with autoregressive moving average (ARMA) models; spectral analysis, the fast Fourier transform, periodogram averages and other smooth", "source": "DS-English (2022).pdf", "chunk_id": 277, "language": "English", "was_translated": false }, { "text": "(ARMA) models; spectral analysis, the fast Fourier transform, periodogram averages and other smooth estimates of the spectrum; time-invariant linear filters; non-stationary and seasonal time series models; ARIMA processes, identification, estimation and diagnostic checking, and forecasting.", "source": "DS-English (2022).pdf", "chunk_id": 278, "language": "English", "was_translated": false }, { "text": "series models; ARIMA processes, identification, estimation and diagnostic checking, and forecasting. In addition, forecasting using Machine learning, forecasting using Deep learning (ANNs, CNNs, RNNs, and LSTMs) for time series data sets will be discussed.", "source": "DS-English (2022).pdf", "chunk_id": 279, "language": "English", "was_translated": false }, { "text": "sting using Deep learning (ANNs, CNNs, RNNs, and LSTMs) for time series data sets will be discussed. The course will discuss many applications such as stock prices forecasting, annual rainfall forecasting, sunspot activity forecasting, the price of agricultural products forecasting, electricity consumption forecasting, and more.", "source": "DS-English (2022).pdf", "chunk_id": 280, "language": "English", "was_translated": false }, { "text": "ting, the price of agricultural products forecasting, electricity consumption forecasting, and more.", "source": "DS-English (2022).pdf", "chunk_id": 281, "language": "English", "was_translated": false }, { "text": "Credit Hours Course Number Course Title IT Project Management 1904472 3 Prerequisite: (1902371) Course Description Students are expected to explore the processes, procedures, tools and techniques and results to create and execute an integrated project plan; it also expected to create project charter, determine requirements, defining creating and managing the project scope, and validating the", "source": "DS-English (2022).pdf", "chunk_id": 282, "language": "English", "was_translated": false }, { "text": "harter, determine requirements, defining creating and managing the project scope, and validating the deliverables. IT project managers are responsible for planning, organizing, allocating resources, budgeting and successfully executing organizations specific IT goals. This course uses active teaching methodologies, such as weekly lab applied sessions, group work and technical projects.", "source": "DS-English (2022).pdf", "chunk_id": 283, "language": "English", "was_translated": false }, { "text": "tive teaching methodologies, such as weekly lab applied sessions, group work and technical projects. In addition, speakers from the industry will be invited to discuss case studies and show the latest trends on the industry. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 284, "language": "English", "was_translated": false }, { "text": "ill be invited to discuss case studies and show the latest trends on the industry. QF-AQAC-02.03.01.2 Study Plan- Bachelors 30 Credit Hours Course Number Course Title Computer Vison 1905322 3 Prerequisite: (1915370) Course Description This course introduces the students to the fundamental techniques and concepts of computer vision and image processing.", "source": "DS-English (2022).pdf", "chunk_id": 285, "language": "English", "was_translated": false }, { "text": "ces the students to the fundamental techniques and concepts of computer vision and image processing.", "source": "DS-English (2022).pdf", "chunk_id": 286, "language": "English", "was_translated": false }, { "text": "This course will cover the following topics: image formation and representation, image enhancement in spatial and frequency domain, image morphological processing, image registration, edge detection and segmentation, feature detection and matching, object recognition and classification, object detection and tracking, 3D vision, and application to models of human and machine vision.", "source": "DS-English (2022).pdf", "chunk_id": 287, "language": "English", "was_translated": false }, { "text": "on, object detection and tracking, 3D vision, and application to models of human and machine vision. This course will use a combination of lectures, class discussions, reading and writing assignments, case studies analysis, and hands-on work. Practical hands-on computer vision best practices will be given in Lab weekly.", "source": "DS-English (2022).pdf", "chunk_id": 288, "language": "English", "was_translated": false }, { "text": "s, and hands-on work. Practical hands-on computer vision best practices will be given in Lab weekly. Credit Hours Course Number Course Title Digital Speech Recognition 1905382 3 Prerequisite: (1905320) Course Description This course aims to provide students with the foundation knowledge on speech production and perception along with processing of speech signal in digital domain.", "source": "DS-English (2022).pdf", "chunk_id": 289, "language": "English", "was_translated": false }, { "text": "wledge on speech production and perception along with processing of speech signal in digital domain. It helps students to design, develop, and evaluate intelligent systems that are based on human speech biometric.", "source": "DS-English (2022).pdf", "chunk_id": 290, "language": "English", "was_translated": false }, { "text": "dents to design, develop, and evaluate intelligent systems that are based on human speech biometric. Various applications will be taught in this course including Automatic Speech Recognition, Automatic Speech Synthesis, Automatic Speaker Recognition, Automatic Dialects Recognition, Automatic Emotions Recognition, Automatic Speech to Speech Translation, Conversational Agents, and many others.", "source": "DS-English (2022).pdf", "chunk_id": 291, "language": "English", "was_translated": false }, { "text": "motions Recognition, Automatic Speech to Speech Translation, Conversational Agents, and many others. The state-of-the-art digital speech processing tools and algorithms, and written and spoken language resources will be covered in this course. Active learning methodologies will be applied through role playing, presentations and problem-solving exercises.", "source": "DS-English (2022).pdf", "chunk_id": 292, "language": "English", "was_translated": false }, { "text": "ing methodologies will be applied through role playing, presentations and problem-solving exercises. Moreover, hands-on practice on developing automatic Speech processing applications will be weekly practiced in the lab. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 293, "language": "English", "was_translated": false }, { "text": "ping automatic Speech processing applications will be weekly practiced in the lab. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 294, "language": "English", "was_translated": false }, { "text": "2 Study Plan- Bachelors 31 Credit Hours Course Number Course Title Arabic Language Engineering 1905480 3 Prerequisite: (1905380) Course Description Arabic Language Engineering course is an interdisciplinary course concerned with the use of Natural Language Processing tools and techniques to analyze and generate Arabic language in the forms of text and speech.", "source": "DS-English (2022).pdf", "chunk_id": 295, "language": "English", "was_translated": false }, { "text": "essing tools and techniques to analyze and generate Arabic language in the forms of text and speech. It investigates the challenges of processing Arabic language.", "source": "DS-English (2022).pdf", "chunk_id": 296, "language": "English", "was_translated": false }, { "text": "guage in the forms of text and speech. It investigates the challenges of processing Arabic language. It discusses the linguistic theories and computational techniques for machine translation, information retrieval, text summarization, reference resolution, question answering, parsing, sense disambiguation, morphological analysis, speech analysis and synthesis.", "source": "DS-English (2022).pdf", "chunk_id": 297, "language": "English", "was_translated": false }, { "text": "ion answering, parsing, sense disambiguation, morphological analysis, speech analysis and synthesis. Active learning methodologies will be applied through role playing, presentations and problem-solving exercises. Moreover, hands-on practice on developing NLP applications for Arabic will be weekly practiced in the lab.", "source": "DS-English (2022).pdf", "chunk_id": 298, "language": "English", "was_translated": false }, { "text": "er, hands-on practice on developing NLP applications for Arabic will be weekly practiced in the lab. In addition, guest speakers belonging to the Jordan s ICT will demonstrate state-of-the-art practices on Arabic NLP applications.", "source": "DS-English (2022).pdf", "chunk_id": 299, "language": "English", "was_translated": false }, { "text": "elonging to the Jordan s ICT will demonstrate state-of-the-art practices on Arabic NLP applications.", "source": "DS-English (2022).pdf", "chunk_id": 300, "language": "English", "was_translated": false }, { "text": "Credit Hours Course Number Course Title Computational Problems and Techniques 1901444 3 Prerequisite: ( 1901341 ) Course Description The main goal of this course is to enable the students to solve classical computational problems, such as 0-1 knapsack, rod cutting, matrix chain multiplication, N-queens, and sudoku, using various computational techniques.", "source": "DS-English (2022).pdf", "chunk_id": 301, "language": "English", "was_translated": false }, { "text": "cutting, matrix chain multiplication, N-queens, and sudoku, using various computational techniques. The students will be introduced to the theoretical concepts for the computational problems and techniques and their implementations.", "source": "DS-English (2022).pdf", "chunk_id": 302, "language": "English", "was_translated": false }, { "text": "to the theoretical concepts for the computational problems and techniques and their implementations. The course covers various computational techniques such as complete search, iterative (all subsets and all permutations), backtracking, greedy approach, dynamic programming, and divide-and-conquer (binary search technique).", "source": "DS-English (2022).pdf", "chunk_id": 303, "language": "English", "was_translated": false }, { "text": "acktracking, greedy approach, dynamic programming, and divide-and-conquer (binary search technique). Also, the course covers two-pointers and range queries including static (partial and prefix sums) and dynamic (segment tree) with their implementations and usage. Weekly problems will be presented in the lab either individually or within groups. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 304, "language": "English", "was_translated": false }, { "text": "Weekly problems will be presented in the lab either individually or within groups. QF-AQAC-02.03.01.2 Study Plan- Bachelors 32 Credit Hours Course Number 1904253 Course Title Web Server Programming 3 Prerequisite: (1904120) Course Description This course is intended to teach students the skills and techniques required to create fully functioning websites.", "source": "DS-English (2022).pdf", "chunk_id": 305, "language": "English", "was_translated": false }, { "text": "intended to teach students the skills and techniques required to create fully functioning websites. Students will learn how to configure Internet services, design and publish dynamic and interactive web pages, implement both client and server-side scripting, and use data access technologies to manipulate databases.", "source": "DS-English (2022).pdf", "chunk_id": 306, "language": "English", "was_translated": false }, { "text": "ent both client and server-side scripting, and use data access technologies to manipulate databases. Specifically, students are introduced to the Visual Web Developer, and how to use it to design, build, configure server side websites built using ASP.Net.", "source": "DS-English (2022).pdf", "chunk_id": 307, "language": "English", "was_translated": false }, { "text": "b Developer, and how to use it to design, build, configure server side websites built using ASP.Net. In addition, the VWD is used to introduce building DB-based web applications, and introduce the concepts of client state management and web services. This course uses active teaching methodologies, such as weekly lab applied sessions, group work and technical projects.", "source": "DS-English (2022).pdf", "chunk_id": 308, "language": "English", "was_translated": false }, { "text": "tive teaching methodologies, such as weekly lab applied sessions, group work and technical projects. In addition, speakers from the industry will be invited to discuss case studies and show the latest trends on the industry.", "source": "DS-English (2022).pdf", "chunk_id": 309, "language": "English", "was_translated": false }, { "text": "rom the industry will be invited to discuss case studies and show the latest trends on the industry. Credit Hours Course Number Course Title Embedded Systems 1905330 3 Prerequisite: (1901242 and 1905320) Course Description The course aims to introduce students to basic logic design system, logic gates, combinational and sequential logic circuits.", "source": "DS-English (2022).pdf", "chunk_id": 310, "language": "English", "was_translated": false }, { "text": "uce students to basic logic design system, logic gates, combinational and sequential logic circuits. Then basic input and output devices, after that microcontroller-based embedded systems design, development and implementation with focus on real-time applications. Topics to be covered include, basic logic design, basic input and output systems.", "source": "DS-English (2022).pdf", "chunk_id": 311, "language": "English", "was_translated": false }, { "text": "time applications. Topics to be covered include, basic logic design, basic input and output systems. Embedded system types, microcontroller architecture, programming (Embedded C), interrupt management and other related topics. This course will use a combination of lectures, class discussions, reading and writing assignments, case studies analysis, and hands-on work.", "source": "DS-English (2022).pdf", "chunk_id": 312, "language": "English", "was_translated": false }, { "text": "tures, class discussions, reading and writing assignments, case studies analysis, and hands-on work. Practical hands-on computer vision best practices will be given in Lab weekly. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 313, "language": "English", "was_translated": false }, { "text": "rk. Practical hands-on computer vision best practices will be given in Lab weekly. QF-AQAC-02.03.01.2 Study Plan- Bachelors 33 Credit Hours Course Number Course Title Intelligent Robotics 1905431 3 Prerequisite: (1905320) Course Description The aim of this course is to introduce students to the basic principles of robotics. It covers the assembly, programming, and control of a simple robot.", "source": "DS-English (2022).pdf", "chunk_id": 314, "language": "English", "was_translated": false }, { "text": "he basic principles of robotics. It covers the assembly, programming, and control of a simple robot.", "source": "DS-English (2022).pdf", "chunk_id": 315, "language": "English", "was_translated": false }, { "text": "Students are expected to (1) know and understand key concepts relating to robots and robotics systems, (2) identify examples of robots, (3) identify the main parts of a robot and their function, including microcontrollers, actuators, sensors, and power sources, (4) understand the elements of a simple control system, and test a control system, (5) understand basic programming concepts, and create", "source": "DS-English (2022).pdf", "chunk_id": 316, "language": "English", "was_translated": false }, { "text": "ple control system, and test a control system, (5) understand basic programming concepts, and create and execute a program, and (6) set up a robot, implement robotic motion, and control a robot in an environment. Active learning methodologies will be applied through role-playing, presentations and problem-solving exercises.", "source": "DS-English (2022).pdf", "chunk_id": 317, "language": "English", "was_translated": false }, { "text": "ing methodologies will be applied through role-playing, presentations and problem-solving exercises. Moreover, hands-on practice on developing real-world IoT applications will be weekly practiced in the lab. In addition, guest speakers belonging to the Jordan s ICT will demonstrate state-of-the-art practices and robot development.", "source": "DS-English (2022).pdf", "chunk_id": 318, "language": "English", "was_translated": false }, { "text": "ers belonging to the Jordan s ICT will demonstrate state-of-the-art practices and robot development. Credit Hours Course Number Course Title Virtual Reality 1905453 3 Prerequisite: (1915441) Course Description This course introduces the basic principles of Virtual Reality and its applications.", "source": "DS-English (2022).pdf", "chunk_id": 319, "language": "English", "was_translated": false }, { "text": "rse Description This course introduces the basic principles of Virtual Reality and its applications. The necessary hardware and software components of interactive 3D systems as well as human factors are discussed. The material is reinforced by practical assignments and projects. The topics will be as follows: applications, human sensory/motor system & capabilities.", "source": "DS-English (2022).pdf", "chunk_id": 320, "language": "English", "was_translated": false }, { "text": "nd projects. The topics will be as follows: applications, human sensory/motor system & capabilities. History of VR and AR, differences between VR/AR and normal experience. Virtual Reality Technology (VR): VR input devices, filtering & tracking, VR output devices, Augmented Reality (AR) hardware, spatial audio, and haptic.", "source": "DS-English (2022).pdf", "chunk_id": 321, "language": "English", "was_translated": false }, { "text": "filtering & tracking, VR output devices, Augmented Reality (AR) hardware, spatial audio, and haptic.", "source": "DS-English (2022).pdf", "chunk_id": 322, "language": "English", "was_translated": false }, { "text": "This course aims to make students know the basic concept and framework of virtual reality, teach students the principles and multidisciplinary features of virtual reality, teach students the technology for multimodal user interaction and perception in VR, in particular the visual, audial and haptic interface and behaviour, and provide students with an introduction to the VR system framework and", "source": "DS-English (2022).pdf", "chunk_id": 323, "language": "English", "was_translated": false }, { "text": "ic interface and behaviour, and provide students with an introduction to the VR system framework and development tools. Active learning methodologies will be applied through role playing, presentations and problem-solving exercises. Moreover, hands-on practice on virtual reality applications will be weekly practiced in the lab. QF-AQAC-02.03.01.", "source": "DS-English (2022).pdf", "chunk_id": 324, "language": "English", "was_translated": false }, { "text": "s-on practice on virtual reality applications will be weekly practiced in the lab. QF-AQAC-02.03.01.2 Study Plan- Bachelors 34 Credit Hours Course Number Course Title Special Topics in Data Science 1915494 3 Prerequisite: (1915370) Course Description Selected Topics in advanced areas of data science technologies. Department committee should make the formal approval for the selected topic.", "source": "DS-English (2022).pdf", "chunk_id": 325, "language": "English", "was_translated": false }, { "text": "a science technologies. Department committee should make the formal approval for the selected topic. QF-AQAC-02.03.01.2 Study Plan- Bachelors 35", "source": "DS-English (2022).pdf", "chunk_id": 326, "language": "English", "was_translated": false }, { "text": "should make the formal approval for the selected topic. QF-AQAC-02.03.01.2 Study Plan- Bachelors 35", "source": "DS-English (2022).pdf", "chunk_id": 327, "language": "English", "was_translated": false }, { "text": "نظام امتحانات اللغة الإنجليزية في الجامعة نظرة عامة يستند نظام امتحانات اللغة الإنجليزية في الجامعة إلى المعايير العالمية لتقييم الكفاءة اللغوية، ويهدف إلى تحديد مستوى الطلبة بدقة وتطوير مهاراتهم الأكاديمية في اللغة الإنجليزية.", "source": "english_sys.docx", "chunk_id": 1, "language": "Arabic", "was_translated": false }, { "text": "م الكفاءة اللغوية، ويهدف إلى تحديد مستوى الطلبة بدقة وتطوير مهاراتهم الأكاديمية في اللغة الإنجليزية.", "source": "english_sys.docx", "chunk_id": 2, "language": "Arabic", "was_translated": false }, { "text": "المصدر: دليل الطلبة الجامعي اللغة: العربية نوع المستند: معلومات أكاديمية الاستخدام: أنظمة الاسترجاع المعزّز بالتوليد (RAG) CHUNK 1: هيكلية نظام مستويات اللغة الإنجليزية يعتمد نظام امتحانات اللغة الإنجليزية على الإطار العالمي لتقييم اللغة، ويتكون من ثلاثة مستويات رئيسية: المستوى A المستوى B المستوى C ينقسم كل مستوى إلى قسمين فرعيين كما يلي: A1 و A2 B1 و B2 C1 و C2 ويتم تقسيم كل قسم إلى جزأين", "source": "english_sys.docx", "chunk_id": 3, "language": "Arabic", "was_translated": false }, { "text": "مستوى C ينقسم كل مستوى إلى قسمين فرعيين كما يلي: A1 و A2 B1 و B2 C1 و C2 ويتم تقسيم كل قسم إلى جزأين لزيادة الدقة في تحديد المستوى، على النحو التالي: A1.1 و A1.2 A2.1 و A2.2 B1.1 و B1.2 B2.1 و B2.2 C1.1 و C1.2 C2.1 و C2.2 يتماشى هذا النظام مع المعايير الدولية لتقييم الكفاءة في اللغة الإنجليزية.", "source": "english_sys.docx", "chunk_id": 4, "language": "Arabic", "was_translated": false }, { "text": ".2 C1.1 و C1.2 C2.1 و C2.2 يتماشى هذا النظام مع المعايير الدولية لتقييم الكفاءة في اللغة الإنجليزية. CHUNK 2: امتحان تحديد المستوى عند التحاق الطالب بالجامعة، يتوجب عليه التقدم لامتحان تحديد مستوى في اللغة الإنجليزية. أهداف الامتحان: تقييم مهارات الطالب اللغوية. تحديد المستوى المناسب له ضمن النظام المعتمد. نتيجة الامتحان: يتم تحديد المستوى الأول للطالب بناءً على أدائه.", "source": "english_sys.docx", "chunk_id": 5, "language": "Arabic", "was_translated": false }, { "text": "مستوى المناسب له ضمن النظام المعتمد. نتيجة الامتحان: يتم تحديد المستوى الأول للطالب بناءً على أدائه. مثال: قد يتم تحديد مستوى الطالب عند B1.1. CHUNK 3: آلية تسجيل مواد اللغة الإنجليزية يجب على الطالب تسجيل ثلاثة مستويات متتالية بناءً على نتيجة امتحان تحديد المستوى. قاعدة التسجيل: تسجيل المستوى الذي حصل عليه الطالب. تسجيل المستويين اللذين يليانه مباشرة. مثال توضيحي: إذا حصل الطالب على المستوى B1.", "source": "english_sys.docx", "chunk_id": 6, "language": "Arabic", "was_translated": false }, { "text": "ي حصل عليه الطالب. تسجيل المستويين اللذين يليانه مباشرة. مثال توضيحي: إذا حصل الطالب على المستوى B1.1، فإنه يسجل ما يلي: الفصل الأول: B1.1 الفصل الثاني: B1.2 الفصل الصيفي: B2.1 يعد تسجيل هذه المستويات إلزاميًا وفقًا لتعليمات الجامعة. CHUNK 4: الامتحان النهائي للغة الإنجليزية بعد إكمال المستويات الثلاثة المقررة، يتوجب على الطالب التقدم لامتحان نهائي في اللغة الإنجليزية.", "source": "english_sys.docx", "chunk_id": 7, "language": "Arabic", "was_translated": false }, { "text": "يزية بعد إكمال المستويات الثلاثة المقررة، يتوجب على الطالب التقدم لامتحان نهائي في اللغة الإنجليزية. شروط النجاح: يجب أن تكون نتيجة الطالب في الامتحان النهائي أعلى من نتيجته في امتحان تحديد المستوى. في حال عدم تحقيق الشرط: يتوجب على الطالب إعادة الامتحان حتى تحقيق النتيجة المطلوبة واجتيازه بنجاح. CHUNK 5: ملخص النظام يعتمد النظام على معايير عالمية لتقييم اللغة الإنجليزية.", "source": "english_sys.docx", "chunk_id": 8, "language": "Arabic", "was_translated": false }, { "text": "لمطلوبة واجتيازه بنجاح. CHUNK 5: ملخص النظام يعتمد النظام على معايير عالمية لتقييم اللغة الإنجليزية. يتكون من المستويات A وB وC، ويتفرع كل منها إلى مستويات فرعية دقيقة. يبدأ الطالب بامتحان تحديد مستوى عند التحاقه بالجامعة. يلتزم الطالب بدراسة ثلاثة مستويات متتالية. يُشترط اجتياز امتحان نهائي بنتيجة أعلى من نتيجة امتحان تحديد المستوى.", "source": "english_sys.docx", "chunk_id": 9, "language": "Arabic", "was_translated": false }, { "text": "بدراسة ثلاثة مستويات متتالية. يُشترط اجتياز امتحان نهائي بنتيجة أعلى من نتيجة امتحان تحديد المستوى.", "source": "english_sys.docx", "chunk_id": 10, "language": "Arabic", "was_translated": false }, { "text": "Faculty Members of the Faculty of Information Technology University of Jordan The Faculty of Information Technology at the University of Jordan is organized into four academic departments: the Department of Artificial Intelligence (AI), the Department of Business Information Technology (BIT), the Department of Computer Information Systems (CIS), and the Department of Computer Science (CS).", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 1, "language": "English", "was_translated": false }, { "text": ", the Department of Computer Information Systems (CIS), and the Department of Computer Science (CS). Each department is led by a designated head and staffed by a combination of full professors, associate professors, assistant professors, and instructors. Contact with all faculty members is facilitated through official University of Jordan email addresses using the domain @ju.edu.jo.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 2, "language": "English", "was_translated": false }, { "text": "rs is facilitated through official University of Jordan email addresses using the domain @ju.edu.jo. Department of Artificial Intelligence (AI) The Department of Artificial Intelligence (AI) at the University of Jordan is one of the specialized academic units within the Faculty of Information Technology.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 3, "language": "English", "was_translated": false }, { "text": "ity of Jordan is one of the specialized academic units within the Faculty of Information Technology. The department focuses on research and education in the field of artificial intelligence, machine learning, and related computational disciplines. It is headed by Dr. Ruba Obeidat, who also serves as the department chair. Her institutional email address is r.obiedat@ju.edu.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 4, "language": "English", "was_translated": false }, { "text": "eidat, who also serves as the department chair. Her institutional email address is r.obiedat@ju.edu.jo, and she can be reached through that channel for academic and administrative correspondence. Dr. Tammam Al-Sarhan is a faculty member in the Department of Artificial Intelligence at the University of Jordan. He can be contacted at t alsarhan@ju.edu.jo. Prof. Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 5, "language": "English", "was_translated": false }, { "text": "ial Intelligence at the University of Jordan. He can be contacted at t alsarhan@ju.edu.jo. Prof. Dr. Nadim Obeid also serves in the AI department and is reachable via obein@ju.edu.jo. Both faculty members contribute to the department's academic programs and research activities in artificial intelligence and related computing fields. Prof. Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 6, "language": "English", "was_translated": false }, { "text": "programs and research activities in artificial intelligence and related computing fields. Prof. Dr. Mohammad Al-Shraideh is a senior academic member of the Artificial Intelligence department, contactable at mshridah@ju.edu.jo. Prof. Dr. Omar Al-Kadi is another full professor in the same department, and his email address is o.alkadi@ju.edu.jo.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 7, "language": "English", "was_translated": false }, { "text": "-Kadi is another full professor in the same department, and his email address is o.alkadi@ju.edu.jo. These senior professors play a key role in shaping the academic curriculum and research direction of the AI department at the University of Jordan. Prof. Dr. Ibrahim Al-Jarah is a faculty member of the Department of Artificial Intelligence and can be reached at i.aljarah@ju.edu.jo. Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 8, "language": "English", "was_translated": false }, { "text": "y member of the Department of Artificial Intelligence and can be reached at i.aljarah@ju.edu.jo. Dr. Ali Abdullah Al-Rawdan is also affiliated with the AI department, with contact available at a.rodan@ju.edu.jo. Dr. Luay Al-Nimer serves in the same department and is reachable at l.nemer@ju.edu.jo. Dr. Majdi Sawalha rounds out the AI department's faculty and can be contacted at sawalha.majdi@ju.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 9, "language": "English", "was_translated": false }, { "text": ". Dr. Majdi Sawalha rounds out the AI department's faculty and can be contacted at sawalha.majdi@ju.edu.jo.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 10, "language": "English", "was_translated": false }, { "text": "ajdi Sawalha rounds out the AI department's faculty and can be contacted at sawalha.majdi@ju.edu.jo.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 11, "language": "English", "was_translated": false }, { "text": "Department of Business Information Technology (BIT) The Department of Business Information Technology (BIT) at the University of Jordan integrates the fields of information technology and business management, providing academic programs that bridge technological expertise with organizational applications. The department is led by Prof. Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 12, "language": "English", "was_translated": false }, { "text": "bridge technological expertise with organizational applications. The department is led by Prof. Dr. Rizk Al-Sayyed, who holds the position of department head. He can be contacted at r.alsayyed@ju.edu.jo for both academic and administrative matters. Prof. Dr. Hamed Saqr Al-Bdour is a senior faculty member in the Business Information Technology department at the University of Jordan.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 13, "language": "English", "was_translated": false }, { "text": "senior faculty member in the Business Information Technology department at the University of Jordan. He is contactable at h.bdour@ju.edu.jo. Prof. Dr. Osama Harfoushi is another full professor in the BIT department, reachable via o.harfoushi@ju.edu.jo. Prof. Dr. Hossam Faris also serves as a full professor in BIT, with his email address being Hossam.faris@ju.edu.jo. Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 14, "language": "English", "was_translated": false }, { "text": "ris also serves as a full professor in BIT, with his email address being Hossam.faris@ju.edu.jo. Dr. Jaafar Al-Qatawneh is a faculty member within the Business Information Technology department and can be reached at j.alqatawna@ju.edu.jo. Dr. Bashar Awad Al-Shboul also holds a faculty position in BIT and is contactable at b.shboul@ju.edu.jo. Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 15, "language": "English", "was_translated": false }, { "text": "ar Awad Al-Shboul also holds a faculty position in BIT and is contactable at b.shboul@ju.edu.jo. Dr. Yazan Yassin Al-Shamaileh is another member of the BIT academic staff and can be reached at y.shamaileh@ju.edu.jo. Dr. Dana Al-Qudah is a faculty member in the Department of Business Information Technology and can be contacted at d.qudah@ju.edu.jo. Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 16, "language": "English", "was_translated": false }, { "text": "in the Department of Business Information Technology and can be contacted at d.qudah@ju.edu.jo. Dr. Malak Al-Hassan is also affiliated with BIT, reachable at M Alhassan@ju.edu.jo. Instructor Maryam Itriq is a teaching staff member in the department and can be reached at m.itriq@ju.edu.jo. Dr. Samar Al-Saqqa is additionally a member of the BIT faculty, contactable at s.alsaqqa@ju.edu.jo. Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 17, "language": "English", "was_translated": false }, { "text": "Samar Al-Saqqa is additionally a member of the BIT faculty, contactable at s.alsaqqa@ju.edu.jo. Dr. Mohammad Abdullah Al-Sharaiah holds a faculty position in the Business Information Technology department and is reachable at m.alsharaiah@ju.edu.jo. Dr. Dima Suleiman is also an academic member of the BIT department and can be contacted at dima.suleiman@ju.edu.jo. Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 18, "language": "English", "was_translated": false }, { "text": "s also an academic member of the BIT department and can be contacted at dima.suleiman@ju.edu.jo. Dr. Sharif Nasr Makhadmeh is a faculty member in BIT and his email is s makhadmeh@ju.edu.jo. Dr. Yousef Khadr Sanjalawe rounds out the BIT department's academic staff and is reachable at y.sanjalawe@ju.edu.jo.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 19, "language": "English", "was_translated": false }, { "text": "Sanjalawe rounds out the BIT department's academic staff and is reachable at y.sanjalawe@ju.edu.jo. Department of Computer Information Systems (CIS) The Department of Computer Information Systems (CIS) at the University of Jordan is dedicated to academic programs and research that combine computing fundamentals with information systems design and management. The department is headed by Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 20, "language": "English", "was_translated": false }, { "text": "mputing fundamentals with information systems design and management. The department is headed by Dr. Rana Yousef, who holds the position of department chair and can be contacted at rana.yousef@ju.edu.jo. Additionally, Dr. Marwan Al-Tawil serves the department in an administrative capacity as the Vice Dean for Administrative and Academic Affairs, reachable at m.alTawil@ju.edu.jo. Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 21, "language": "English", "was_translated": false }, { "text": "city as the Vice Dean for Administrative and Academic Affairs, reachable at m.alTawil@ju.edu.jo. Dr. Abdulbasit Jamal Assaf is a member of the Computer Information Systems department who holds the administrative role of Assistant Dean for Student Affairs. His institutional email address is ab.assaf@ju.edu.jo. Prof. Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 22, "language": "English", "was_translated": false }, { "text": "Assistant Dean for Student Affairs. His institutional email address is ab.assaf@ju.edu.jo. Prof. Dr. Mohammad Bilal Al-Zoubi is a full professor in CIS and can be contacted at mba@ju.edu.jo. Prof. Dr. Bassam Hammo is another full professor in the same department, reachable via b.hammo@ju.edu.jo. Prof. Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 23, "language": "English", "was_translated": false }, { "text": "m Hammo is another full professor in the same department, reachable via b.hammo@ju.edu.jo. Prof. Dr. Amjad Hudaib is a senior faculty member in the Department of Computer Information Systems at the University of Jordan, contactable at ahudaib@ju.edu.jo. Prof. Dr. Thaer Hamtini also holds a full professorship in the CIS department and is reachable at thamtini@ju.edu.jo. Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 24, "language": "English", "was_translated": false }, { "text": "ni also holds a full professorship in the CIS department and is reachable at thamtini@ju.edu.jo. Dr. Mousa Al-Akhras is a faculty member in CIS whose email is mousa.akhras@ju.edu.jo, and Dr. Mohammad Abdul Rahman Abu Shariah is another department member, reachable at m.abushariah@ju.edu.jo. Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 25, "language": "English", "was_translated": false }, { "text": "mmad Abdul Rahman Abu Shariah is another department member, reachable at m.abushariah@ju.edu.jo. Dr. Huda Karajeh serves as a faculty member in the Computer Information Systems department at the University of Jordan and can be contacted at h.karajeh@ju.edu.jo. Dr. Hamad Aqab Al-Sawalqah is also an academic member of the CIS department, reachable at h.sawalqah@ju.edu.jo. Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 26, "language": "English", "was_translated": false }, { "text": "Al-Sawalqah is also an academic member of the CIS department, reachable at h.sawalqah@ju.edu.jo. Dr. Salsabeel Fayez Al-Falah is a CIS faculty member who can be reached at s.alfalah@ju.edu.jo. Dr. Israa Al-Zaghoul is another member of the department's academic staff, contactable at e.zaghoul@ju.edu.jo. Dr. Reem Ali Al-Fayez is a faculty member of the CIS department and her email address is r.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 27, "language": "English", "was_translated": false }, { "text": ".edu.jo. Dr. Reem Ali Al-Fayez is a faculty member of the CIS department and her email address is r.alfayez@ju.edu.jo. Dr. Tahani Al-Khatib holds a faculty position in the same department and can be reached at tahani.khatib@ju.edu.jo. Instructor Aseel Al-Anani is a teaching staff member in CIS, contactable at a.anani@ju.edu.jo.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 28, "language": "English", "was_translated": false }, { "text": "u.jo. Instructor Aseel Al-Anani is a teaching staff member in CIS, contactable at a.anani@ju.edu.jo. Instructor Rula Al-Khalid also serves in the CIS department and is reachable at r.khalid@ju.edu.jo. Instructor Lama Rajab is an academic staff member within the Computer Information Systems department and can be contacted at lama.rajab@ju.edu.jo.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 29, "language": "English", "was_translated": false }, { "text": "ber within the Computer Information Systems department and can be contacted at lama.rajab@ju.edu.jo. Instructor Heba Khadrawi is another instructor in CIS, reachable at h.Khadrawi@ju.edu.jo. Instructor Tamara Al-Maraabeh serves in the same department and her email is t.almaraabeh@ju.edu.jo.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 30, "language": "English", "was_translated": false }, { "text": "Instructor Tamara Al-Maraabeh serves in the same department and her email is t.almaraabeh@ju.edu.jo. Instructor Walaa Qutaichat is also affiliated with the CIS department and can be reached at walaa qutechate@yahoo.com. Instructor Yousef Majdalawi rounds out the CIS instructional staff and is contactable at ymajdal@ju.edu.jo.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 31, "language": "English", "was_translated": false }, { "text": "tor Yousef Majdalawi rounds out the CIS instructional staff and is contactable at ymajdal@ju.edu.jo. Department of Computer Science (CS) The Department of Computer Science (CS) at the University of Jordan is one of the institution's most established academic units within the Faculty of Information Technology.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 32, "language": "English", "was_translated": false }, { "text": "e of the institution's most established academic units within the Faculty of Information Technology. It covers core and advanced topics in computing, including algorithms, programming languages, software engineering, and theoretical computer science. The faculty is headed by Dr. Mohammad Salem Al-Atoum, who holds the position of department chair and can be reached at m.atoum@ju.edu.jo.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 33, "language": "English", "was_translated": false }, { "text": "Salem Al-Atoum, who holds the position of department chair and can be reached at m.atoum@ju.edu.jo. Additionally, Prof. Dr. Basel Mahafza serves as the Dean of the Faculty of Information Technology and is affiliated with the CS department; his contact email is b.mahafzah@ju.edu.jo. Prof. Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 34, "language": "English", "was_translated": false }, { "text": "ology and is affiliated with the CS department; his contact email is b.mahafzah@ju.edu.jo. Prof. Dr. Abdul Latif Abu Dalhoum is a full professor in the Department of Computer Science and can be contacted at a.latif@ju.edu.jo. Prof. Dr. Ahmad Al-Sharaiah is another senior faculty member in CS, reachable via sharieh@ju.edu.jo. Prof. Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 35, "language": "English", "was_translated": false }, { "text": "Ahmad Al-Sharaiah is another senior faculty member in CS, reachable via sharieh@ju.edu.jo. Prof. Dr. Sami Sarhan is a full professor in the same department, contactable at samiserh@ju.edu.jo. Prof. Dr. Saleh Al-Sharaiah also holds a full professorship in CS and can be reached at ssharaeh@ju.edu.jo. Prof. Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 36, "language": "English", "was_translated": false }, { "text": "l-Sharaiah also holds a full professorship in CS and can be reached at ssharaeh@ju.edu.jo. Prof. Dr. Azzam Sleit is a senior academic member of the Computer Science department at the University of Jordan, reachable at azzam.sleit@ju.edu.jo. Prof. Dr. Mohammad Al-Qatawneh is another full professor in CS, contactable at mohd.qat@ju.edu.jo. Prof. Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 37, "language": "English", "was_translated": false }, { "text": ". Mohammad Al-Qatawneh is another full professor in CS, contactable at mohd.qat@ju.edu.jo. Prof. Dr. Emad Salah is a full professor in the same department with the email isalah@ju.edu.jo. Prof. Dr. Wesam Al-Mobaideen holds a full professorship in CS as well, reachable via almobaideen@inf.ju.edu.jo. Prof. Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 38, "language": "English", "was_translated": false }, { "text": "baideen holds a full professorship in CS as well, reachable via almobaideen@inf.ju.edu.jo. Prof. Dr. Hazem Al-Hayari is a senior faculty member in the Computer Science department, contactable at hazemh@ju.edu.jo. Prof. Dr. Khair Al-Din Sabri is another full professor in the CS department and can be reached at k.sabri@ju.edu.jo. Prof. Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 39, "language": "English", "was_translated": false }, { "text": "ri is another full professor in the CS department and can be reached at k.sabri@ju.edu.jo. Prof. Dr. Iman Al-Momani holds a full professorship and is affiliated with the CS department; her email is i.momani@ju.edu.jo. Dr. Maan Al-Assaf is also a faculty member in CS and is reachable at m alassaf@ju.edu.jo. Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 40, "language": "English", "was_translated": false }, { "text": "du.jo. Dr. Maan Al-Assaf is also a faculty member in CS and is reachable at m alassaf@ju.edu.jo. Dr. Sherinaz Baddar is a faculty member in the Department of Computer Science at the University of Jordan and can be contacted at s.baddar@ju.edu.jo. Dr. Saher Al-Manaseer is another academic staff member in CS, reachable at saher@ju.edu.jo. Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 41, "language": "English", "was_translated": false }, { "text": ".jo. Dr. Saher Al-Manaseer is another academic staff member in CS, reachable at saher@ju.edu.jo. Dr. Basema Ahmad Al-Shuqairat holds a faculty position in the same department, with the contact email b.shoqurat@ju.edu.jo. Dr. Heba Saadeh is an additional CS faculty member, contactable at heba.saadeh@ju.edu.jo. Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 42, "language": "English", "was_translated": false }, { "text": "du.jo. Dr. Heba Saadeh is an additional CS faculty member, contactable at heba.saadeh@ju.edu.jo. Dr. Bilal Abu Salih is a faculty member in the Computer Science department and his institutional email is b.AbuSalih@ju.edu.jo. Dr. Mohammad Amin Al-Maiah is also a CS faculty member, reachable at m.almaiah@ju.edu.jo. Dr. Areeb Abu Al-Ghanam serves in the same department and can be reached at O.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 43, "language": "English", "was_translated": false }, { "text": "m.almaiah@ju.edu.jo. Dr. Areeb Abu Al-Ghanam serves in the same department and can be reached at O.Abualganam@ju.edu.jo. Dr. Ahmad Al-Huwaiyt is a faculty member in CS whose contact email is a.hwaitat@ju.edu.jo. Instructor Ansar Khouri is a teaching staff member in the Department of Computer Science at the University of Jordan and is contactable at ansar@ju.edu.jo.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 44, "language": "English", "was_translated": false }, { "text": "he Department of Computer Science at the University of Jordan and is contactable at ansar@ju.edu.jo. Instructor Lubna Nasir Al-Din is also an instructor in the CS department, reachable at lubna@ju.edu.jo. Instructor Nabil Al-Assaf serves as a teaching staff member in CS and can be reached at n.alassaf@ju.edu.jo. Dr. Jamal Mohammad Al-Sakran holds a faculty position in CS with email j.alsakran@ju.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 45, "language": "English", "was_translated": false }, { "text": "saf@ju.edu.jo. Dr. Jamal Mohammad Al-Sakran holds a faculty position in CS with email j.alsakran@ju.edu.jo. Zeina Al-Qubat is also affiliated with the Computer Science department and can be contacted at z yousef@ju.edu.jo.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 46, "language": "English", "was_translated": false }, { "text": "is also affiliated with the Computer Science department and can be contacted at z yousef@ju.edu.jo. Summary Overview of Faculty Distribution The Faculty of Information Technology at the University of Jordan encompasses a large and diverse group of academic staff distributed across its four departments. The Department of Artificial Intelligence includes nine faculty members, led by Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 47, "language": "English", "was_translated": false }, { "text": "our departments. The Department of Artificial Intelligence includes nine faculty members, led by Dr. Ruba Obeidat as department chair. The Department of Business Information Technology has fifteen members, with Prof. Dr. Rizk Al-Sayyed serving as department head.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 48, "language": "English", "was_translated": false }, { "text": "nformation Technology has fifteen members, with Prof. Dr. Rizk Al-Sayyed serving as department head. The Department of Computer Information Systems is the largest, with more than twenty faculty and instructional staff members, chaired by Dr. Rana Yousef. The Department of Computer Science also features a sizeable team of over twenty-five academics, with Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 49, "language": "English", "was_translated": false }, { "text": "Department of Computer Science also features a sizeable team of over twenty-five academics, with Dr. Mohammad Salem Al-Atoum as chair and Prof. Dr. Basel Mahafza as the overarching Dean of the Faculty of Information Technology. All official faculty contact at the University of Jordan is conducted through the institutional email domain @ju.edu.jo.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 50, "language": "English", "was_translated": false }, { "text": "contact at the University of Jordan is conducted through the institutional email domain @ju.edu.jo. This standardized communication system ensures that students, researchers, and administrative personnel can reliably reach any member of the academic staff.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 51, "language": "English", "was_translated": false }, { "text": "ents, researchers, and administrative personnel can reliably reach any member of the academic staff. Faculty members hold a range of academic ranks including full professor (Ustaz Doctor), associate and assistant professor (Doctor), and instructor (Ustaz/Ustaza).", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 52, "language": "English", "was_translated": false }, { "text": "professor (Ustaz Doctor), associate and assistant professor (Doctor), and instructor (Ustaz/Ustaza). Administrative roles such as dean, vice dean, and department chair are held concurrently by faculty members who are also active in teaching and research within their respective departments.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 53, "language": "English", "was_translated": false }, { "text": "by faculty members who are also active in teaching and research within their respective departments.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 54, "language": "English", "was_translated": false }, { "text": "Professor Professor Omar Al Qadi (د. عمر القاضي) Schedule Department: Artificial Intelligence Department Second Semester 2025/2026 Professor Omar Al Qadi is a faculty member in the Artificial Intelligence Department at the University of Jordan. The following describes his teaching and office hour schedule for the Second Semester of the academic year 2025/2026.", "source": "faculty_schedules.docx", "chunk_id": 1, "language": "English", "was_translated": false }, { "text": "cribes his teaching and office hour schedule for the Second Semester of the academic year 2025/2026. On Sundays, Professor Al Qadi teaches Linear Algebra for Computer Science, Section 1, from 8:30 to 9:30 AM. He continues with Linear Algebra for Computer Science, Section 2, from 9:30 to 10:30 AM. From 11:30 AM to 12:00 PM is designated as an office hour.", "source": "faculty_schedules.docx", "chunk_id": 2, "language": "English", "was_translated": false }, { "text": "cience, Section 2, from 9:30 to 10:30 AM. From 11:30 AM to 12:00 PM is designated as an office hour. He then teaches Linear Algebra for Computer Science, Section 3, from 12:30 to 1:30 PM. He also teaches Computer Vision from 1:30 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 3, "language": "English", "was_translated": false }, { "text": "ter Science, Section 3, from 12:30 to 1:30 PM. He also teaches Computer Vision from 1:30 to 2:30 PM. On Tuesdays, the same pattern repeats: Linear Algebra for Computer Science Section 1 from 8:30 to 9:30 AM, Section 2 from 9:30 to 10:30 AM, office hours from 11:30 AM to 12:00 PM, Linear Algebra Section 3 from 12:30 to 1:30 PM, and Computer Vision from 1:30 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 4, "language": "English", "was_translated": false }, { "text": "12:00 PM, Linear Algebra Section 3 from 12:30 to 1:30 PM, and Computer Vision from 1:30 to 2:30 PM. On Thursdays, the same schedule applies: Linear Algebra Section 1 from 8:30 to 9:30 AM, Section 2 from 9:30 to 10:30 AM, office hours from 11:30 AM to 12:00 PM, Linear Algebra Section 3 from 12:30 to 1:30 PM, and Computer Vision from 1:30 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 5, "language": "English", "was_translated": false }, { "text": "12:00 PM, Linear Algebra Section 3 from 12:30 to 1:30 PM, and Computer Vision from 1:30 to 2:30 PM. On Mondays, Professor Al Qadi teaches Data Visualization from 8:30 to 10:00 AM, with office hours from 11:30 AM to 12:30 PM. On Wednesdays, he teaches Data Visualization from 8:30 to 10:00 AM, with office hours from 11:30 AM to 12:30 PM. Professor Professor Rizq Al Sayed (د.", "source": "faculty_schedules.docx", "chunk_id": 6, "language": "English", "was_translated": false }, { "text": "8:30 to 10:00 AM, with office hours from 11:30 AM to 12:30 PM. Professor Professor Rizq Al Sayed (د. رزق السيد) Schedule Department: Information Technology Department Second Semester 2025/2026 Professor Rizq Al Sayed is a faculty member in the Information Technology Department at the University of Jordan. The following describes his schedule for the Second Semester of the academic year 2025/2026.", "source": "faculty_schedules.docx", "chunk_id": 7, "language": "English", "was_translated": false }, { "text": "Jordan. The following describes his schedule for the Second Semester of the academic year 2025/2026. On Sundays, Professor Al Sayed has administrative work combined with office hours from 10:30 to 11:30 AM and from 11:30 AM to 12:30 PM. He teaches Data Mining, Section 2, from 12:30 to 1:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 8, "language": "English", "was_translated": false }, { "text": "to 11:30 AM and from 11:30 AM to 12:30 PM. He teaches Data Mining, Section 2, from 12:30 to 1:30 PM. On Tuesdays, the same structure applies: administrative work with office hours from 10:30 to 11:30 AM and 11:30 AM to 12:30 PM, followed by Data Mining Section 2 from 12:30 to 1:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 9, "language": "English", "was_translated": false }, { "text": "10:30 to 11:30 AM and 11:30 AM to 12:30 PM, followed by Data Mining Section 2 from 12:30 to 1:30 PM. On Thursdays, the schedule continues the same way: administrative work with office hours from 10:30 to 11:30 AM and 11:30 AM to 12:30 PM, followed by Data Mining Section 2 from 12:30 to 1:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 10, "language": "English", "was_translated": false }, { "text": "10:30 to 11:30 AM and 11:30 AM to 12:30 PM, followed by Data Mining Section 2 from 12:30 to 1:30 PM. On Mondays, Professor Al Sayed teaches Data Mining, Section 3, from 11:30 AM to 1:00 PM, then Non Relational Databases, Section 1, from 1:00 to 11:30 PM (likely 11:30 AM to 1:00 PM based on context), and has scientific research and meetings from 1:00 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 11, "language": "English", "was_translated": false }, { "text": "1:30 AM to 1:00 PM based on context), and has scientific research and meetings from 1:00 to 2:30 PM. On Wednesdays, he teaches Data Mining Section 3 from 11:30 AM to 1:00 PM, Non Relational Databases Section 1 from 1:00 to 11:30 (same note applies), and has scientific research and meetings from 1:00 to 2:30 PM. Professor Professor Ruba Ubaidat (د.", "source": "faculty_schedules.docx", "chunk_id": 12, "language": "English", "was_translated": false }, { "text": "and has scientific research and meetings from 1:00 to 2:30 PM. Professor Professor Ruba Ubaidat (د. ربى عبيدات) Schedule Department: Artificial Intelligence Department First Semester 2025/2026 Professor Ruba Ubaidat is a faculty member in the Artificial Intelligence Department at the University of Jordan. The schedule below covers the First Semester of the academic year 2025/2026.", "source": "faculty_schedules.docx", "chunk_id": 13, "language": "English", "was_translated": false }, { "text": "e University of Jordan. The schedule below covers the First Semester of the academic year 2025/2026. On Sundays, Professor Ubaidat teaches AI Programming, Section 1, from 11:30 to 10:30 AM (i.e., 10:30 to 11:30 AM), and AI Programming, Section 2, from 12:30 to 1:30 PM. Office hours are held from 1:30 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 14, "language": "English", "was_translated": false }, { "text": "), and AI Programming, Section 2, from 12:30 to 1:30 PM. Office hours are held from 1:30 to 2:30 PM. On Tuesdays, she repeats the same pattern: AI Programming Section 1 from 10:30 to 11:30 AM, AI Programming Section 2 from 12:30 to 1:30 PM, and office hours from 1:30 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 15, "language": "English", "was_translated": false }, { "text": "to 11:30 AM, AI Programming Section 2 from 12:30 to 1:30 PM, and office hours from 1:30 to 2:30 PM. On Thursdays, the same schedule applies: AI Programming Section 1 from 10:30 to 11:30 AM, AI Programming Section 2 from 12:30 to 1:30 PM, and office hours from 1:30 to 2:30 PM. Mondays and Wednesdays appear to have no scheduled classes or office hours listed for this semester.", "source": "faculty_schedules.docx", "chunk_id": 16, "language": "English", "was_translated": false }, { "text": "Mondays and Wednesdays appear to have no scheduled classes or office hours listed for this semester. Professor Professor Dima Mahmoud Suleiman (د. ديمة محمود سليمان) Schedule Department: Information Technology Department Second Semester 2025/2026 Professor Dima Mahmoud Suleiman is a faculty member in the Information Technology Department at the University of Jordan.", "source": "faculty_schedules.docx", "chunk_id": 17, "language": "English", "was_translated": false }, { "text": "d Suleiman is a faculty member in the Information Technology Department at the University of Jordan. The following describes her schedule for the Second Semester of the academic year 2025/2026. On Sundays, Professor Suleiman teaches Artificial Intelligence, Section 3, in Room 302 from 8:30 to 9:30 AM, and Artificial Intelligence, Section 4, in Room 302 from 9:30 to 10:30 AM.", "source": "faculty_schedules.docx", "chunk_id": 18, "language": "English", "was_translated": false }, { "text": "302 from 8:30 to 9:30 AM, and Artificial Intelligence, Section 4, in Room 302 from 9:30 to 10:30 AM. She teaches Social Media, Section 13, in Lab 304 from 10:30 to 11:30 AM, and Social Media, Section 8, in Lab 304 from 12:30 to 1:00 PM. Office hours and graduation project meetings are scheduled from 12:30 to 1:00 PM.", "source": "faculty_schedules.docx", "chunk_id": 19, "language": "English", "was_translated": false }, { "text": "12:30 to 1:00 PM. Office hours and graduation project meetings are scheduled from 12:30 to 1:00 PM. On Tuesdays, she follows the same pattern: AI Section 3 in Room 302 from 8:30 to 9:30 AM, AI Section 4 from 9:30 to 10:30 AM, Social Media Section 13 in Lab 304 from 10:30 to 11:30 AM, Social Media Section 8 in Lab 304 from 12:30 to 1:00 PM, and office hours with graduation project meetings.", "source": "faculty_schedules.docx", "chunk_id": 20, "language": "English", "was_translated": false }, { "text": "Media Section 8 in Lab 304 from 12:30 to 1:00 PM, and office hours with graduation project meetings. On Thursdays, she teaches AI Section 3 and Section 4 in Room 302, and then spends the rest of the day at the Quality Center.", "source": "faculty_schedules.docx", "chunk_id": 21, "language": "English", "was_translated": false }, { "text": "s AI Section 3 and Section 4 in Room 302, and then spends the rest of the day at the Quality Center. On Mondays, she teaches Digitalization from 8:30 to 10:00 AM, has scientific research from 1:00 to 11:30 AM (likely 11:00 AM to 1:00 PM), and more scientific research from 1:00 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 22, "language": "English", "was_translated": false }, { "text": "om 1:00 to 11:30 AM (likely 11:00 AM to 1:00 PM), and more scientific research from 1:00 to 2:30 PM. On Wednesdays, she has Quality Center activities from 8:30 to 10:00 AM, 10:00 to 11:30 AM, and 11:30 AM to 1:00 PM, followed by academic advising from 1:00 to 2:30 PM. Professor Professor Hamed Saqr Al Badour (أ.د.", "source": "faculty_schedules.docx", "chunk_id": 23, "language": "English", "was_translated": false }, { "text": ", followed by academic advising from 1:00 to 2:30 PM. Professor Professor Hamed Saqr Al Badour (أ.د. حامد صقر البدور) Schedule Department: Information Technology Department First Semester 2025/2026 Professor Hamed Saqr Al Badour is a senior faculty member (Associate or Full Professor) in the Information Technology Department at the University of Jordan.", "source": "faculty_schedules.docx", "chunk_id": 24, "language": "English", "was_translated": false }, { "text": "(Associate or Full Professor) in the Information Technology Department at the University of Jordan. The following describes his teaching schedule for the First Semester of the academic year 2025/2026. On Sundays, Professor Al Badour teaches Operations Research (course code 1904341) in the Technology Corridor from 9:30 to 10:30 AM.", "source": "faculty_schedules.docx", "chunk_id": 25, "language": "English", "was_translated": false }, { "text": "teaches Operations Research (course code 1904341) in the Technology Corridor from 9:30 to 10:30 AM. He teaches HTML, Section 3 (course code 1904120) in Lab 107 from 11:30 to 10:30 AM (i.e., 10:30 to 11:30 AM). He teaches HTML, Section 1 (1904120) in Lab 302 from 13:30 to 12:30 (i.e., 12:30 to 1:30 PM), and HTML, Section 2 (1904120) in Lab 103 from 14:30 to 13:30 (i.e., 1:30 to 2:30 PM).", "source": "faculty_schedules.docx", "chunk_id": 26, "language": "English", "was_translated": false }, { "text": "0 to 1:30 PM), and HTML, Section 2 (1904120) in Lab 103 from 14:30 to 13:30 (i.e., 1:30 to 2:30 PM). On Tuesdays, the same teaching pattern repeats across all four courses in the same rooms and time slots. On Thursdays, the same pattern also applies for all four courses. On Mondays, Professor Al Badour teaches Computer Ethics (course code 1904345) from 17:30 to 16:00 (i.e., 4:00 to 5:30 PM).", "source": "faculty_schedules.docx", "chunk_id": 27, "language": "English", "was_translated": false }, { "text": "Al Badour teaches Computer Ethics (course code 1904345) from 17:30 to 16:00 (i.e., 4:00 to 5:30 PM). On Wednesdays, he also teaches Computer Ethics (1904345) from 5:30 to 4:00 PM slot. Professor Professor Yazn Al Shumaylah (د.", "source": "faculty_schedules.docx", "chunk_id": 28, "language": "English", "was_translated": false }, { "text": "aches Computer Ethics (1904345) from 5:30 to 4:00 PM slot. Professor Professor Yazn Al Shumaylah (د. يزن الشمايلة) Schedule Department: Information Technology Department Second Semester 2025/2026 Professor Yazn Al Shumaylah is a faculty member in the Information Technology Department at the University of Jordan.", "source": "faculty_schedules.docx", "chunk_id": 29, "language": "English", "was_translated": false }, { "text": "Shumaylah is a faculty member in the Information Technology Department at the University of Jordan. The following describes his schedule for the Second Semester of the academic year 2025/2026. On Sundays, Professor Al Shumaylah has two office hours blocks from 12:30 to 1:30 PM and from 1:30 to 2:30 PM, followed by a lecture on Management Information Systems, Section 1, from 2:30 to 3:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 30, "language": "English", "was_translated": false }, { "text": "o 2:30 PM, followed by a lecture on Management Information Systems, Section 1, from 2:30 to 3:30 PM. On Tuesdays, the same structure repeats: two office hours from 12:30 to 1:30 PM and 1:30 to 2:30 PM, then Management Information Systems Section 1 from 2:30 to 3:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 31, "language": "English", "was_translated": false }, { "text": "to 1:30 PM and 1:30 to 2:30 PM, then Management Information Systems Section 1 from 2:30 to 3:30 PM. On Thursdays, the same schedule continues: office hours at 12:30 to 1:30 PM and 1:30 to 2:30 PM, and Management Information Systems Section 1 from 2:30 to 3:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 32, "language": "English", "was_translated": false }, { "text": "0 to 1:30 PM and 1:30 to 2:30 PM, and Management Information Systems Section 1 from 2:30 to 3:30 PM. On Mondays, Professor Al Shumaylah teaches Fundamentals of Information Technology, Section 3, from 2:30 to 4:30 PM, has an office hour from 12:00 to 1:00 PM, and teaches Total Quality Management, Section 1, from 4:30 to 6:00 PM.", "source": "faculty_schedules.docx", "chunk_id": 33, "language": "English", "was_translated": false }, { "text": "e hour from 12:00 to 1:00 PM, and teaches Total Quality Management, Section 1, from 4:30 to 6:00 PM. On Wednesdays, he has an office hour from 12:00 to 1:00 PM, teaches Fundamentals of Information Technology Section 3 from 2:30 to 4:30 PM, and Total Quality Management Section 1 from 4:30 to 6:00 PM. Professor Professor Ali Al Rawdhan (د.", "source": "faculty_schedules.docx", "chunk_id": 34, "language": "English", "was_translated": false }, { "text": "and Total Quality Management Section 1 from 4:30 to 6:00 PM. Professor Professor Ali Al Rawdhan (د. علي الروضان) Schedule Department: Artificial Intelligence Department Second Semester 2025/2026 Professor Ali Al Rawdhan is a faculty member in the Artificial Intelligence Department at the University of Jordan.", "source": "faculty_schedules.docx", "chunk_id": 35, "language": "English", "was_translated": false }, { "text": "l Rawdhan is a faculty member in the Artificial Intelligence Department at the University of Jordan. The following describes his schedule for the Second Semester of the academic year 2025/2026. On Sundays, Professor Al Rawdhan teaches Machine Learning and Neural Networks, Section 1, from 8:30 to 9:30 AM, and Machine Learning and Neural Networks, Section 2, from 9:30 to 10:30 AM.", "source": "faculty_schedules.docx", "chunk_id": 36, "language": "English", "was_translated": false }, { "text": "1, from 8:30 to 9:30 AM, and Machine Learning and Neural Networks, Section 2, from 9:30 to 10:30 AM. He teaches Introduction to Artificial Intelligence from 12:30 to 11:30 AM (i.e., 11:30 AM to 12:30 PM), and has office hours from 1:30 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 37, "language": "English", "was_translated": false }, { "text": "ence from 12:30 to 11:30 AM (i.e., 11:30 AM to 12:30 PM), and has office hours from 1:30 to 2:30 PM. On Tuesdays, the same teaching schedule repeats: ML and Neural Networks Section 1 from 8:30 to 9:30 AM, Section 2 from 9:30 to 10:30 AM, Introduction to AI from 11:30 AM to 12:30 PM, and office hours from 1:30 to 2:30 PM. On Thursdays, the schedule is identical to Sundays and Tuesdays.", "source": "faculty_schedules.docx", "chunk_id": 38, "language": "English", "was_translated": false }, { "text": "office hours from 1:30 to 2:30 PM. On Thursdays, the schedule is identical to Sundays and Tuesdays. On Mondays, Professor Al Rawdhan teaches Data Science Basics from 8:30 to 10:00 AM, Social Media from 11:30 AM to 1:00 PM, has office hours from 1:00 to 2:30 PM, and teaches Machine Learning for PhD students from 4:00 to 7:00 PM.", "source": "faculty_schedules.docx", "chunk_id": 39, "language": "English", "was_translated": false }, { "text": "fice hours from 1:00 to 2:30 PM, and teaches Machine Learning for PhD students from 4:00 to 7:00 PM. On Wednesdays, he teaches Data Science Basics from 8:30 to 10:00 AM and Social Media from 11:30 AM to 1:00 PM. Professor Professor Ahmad Al Huwaytat (د.", "source": "faculty_schedules.docx", "chunk_id": 40, "language": "English", "was_translated": false }, { "text": ":30 to 10:00 AM and Social Media from 11:30 AM to 1:00 PM. Professor Professor Ahmad Al Huwaytat (د. احمد الحويطات) Schedule Department: Information Technology Department Second Semester 2025/2026 Professor Ahmad Al Huwaytat is a faculty member in the Information Technology Department at the University of Jordan.", "source": "faculty_schedules.docx", "chunk_id": 41, "language": "English", "was_translated": false }, { "text": "l Huwaytat is a faculty member in the Information Technology Department at the University of Jordan. The following describes his lecture and advising schedule for the Second Semester of the academic year 2025/2026. On Sundays, Professor Al Huwaytat teaches Information Security and Privacy, Section 2, in Lab 107 from 9:30 to 10:30 AM.", "source": "faculty_schedules.docx", "chunk_id": 42, "language": "English", "was_translated": false }, { "text": "r Al Huwaytat teaches Information Security and Privacy, Section 2, in Lab 107 from 9:30 to 10:30 AM. He has combined office hours and academic advising from 11:30 AM to 12:30 PM. He teaches Ethical Hacking, Section 1, in Lab 107 from 1:30 to 11:30 AM (likely 11:30 AM to 1:30 PM). He teaches Digital Forensics, Section 1, in Lab 105 from 1:30 to 3:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 43, "language": "English", "was_translated": false }, { "text": "kely 11:30 AM to 1:30 PM). He teaches Digital Forensics, Section 1, in Lab 105 from 1:30 to 3:30 PM. He also teaches Ethical Hacking, Section 1, in Lab 105 from 3:30 to 4:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 44, "language": "English", "was_translated": false }, { "text": "5 from 1:30 to 3:30 PM. He also teaches Ethical Hacking, Section 1, in Lab 105 from 3:30 to 4:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 45, "language": "English", "was_translated": false }, { "text": "On Tuesdays, the schedule repeats: Information Security and Privacy Section 2 in Lab 107 from 9:30 to 10:30 AM, office hours from 11:30 AM to 12:30 PM, Ethical Hacking Section 1 in Lab 107 from 11:30 AM to 1:30 PM, Digital Forensics Section 1 in Lab 105 from 1:30 to 3:30 PM, and Ethical Hacking Section 1 in Lab 105 from 3:30 to 4:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 46, "language": "English", "was_translated": false }, { "text": "on 1 in Lab 105 from 1:30 to 3:30 PM, and Ethical Hacking Section 1 in Lab 105 from 3:30 to 4:30 PM. On Thursdays, only Information Security and Privacy Section 2 is scheduled in Lab 107 from 9:30 to 10:30 AM. On Mondays, Professor Al Huwaytat teaches Digital Forensics, Section 2, in Lab 105 from 8:00 to 10:00 AM.", "source": "faculty_schedules.docx", "chunk_id": 47, "language": "English", "was_translated": false }, { "text": "ndays, Professor Al Huwaytat teaches Digital Forensics, Section 2, in Lab 105 from 8:00 to 10:00 AM. On Wednesdays, he also teaches Digital Forensics Section 2 in Lab 105 from 8:00 to 10:00 AM. Professor Professor Bashar Al Shboul (د.", "source": "faculty_schedules.docx", "chunk_id": 48, "language": "English", "was_translated": false }, { "text": "gital Forensics Section 2 in Lab 105 from 8:00 to 10:00 AM. Professor Professor Bashar Al Shboul (د. بشار الشبول) Schedule Department: Information Technology Department Second Semester 2025/2026 Professor Bashar Al Shboul is a faculty member in the Information Technology Department at the University of Jordan.", "source": "faculty_schedules.docx", "chunk_id": 49, "language": "English", "was_translated": false }, { "text": "Al Shboul is a faculty member in the Information Technology Department at the University of Jordan. The following describes his schedule for the Second Semester of the academic year 2025/2026.", "source": "faculty_schedules.docx", "chunk_id": 50, "language": "English", "was_translated": false }, { "text": "Jordan. The following describes his schedule for the Second Semester of the academic year 2025/2026.", "source": "faculty_schedules.docx", "chunk_id": 51, "language": "English", "was_translated": false }, { "text": "On Sundays, Professor Al Shboul teaches Statistical Packages, Section 1, from 8:30 to 9:30 AM, has office hours from 9:30 to 10:30 AM and 10:30 to 11:30 AM, teaches Advanced Web Applications, Section 1, from 11:30 AM to 12:30 PM, and teaches Document Analysis and Classification, Section 1, from 12:30 to 1:00 PM.", "source": "faculty_schedules.docx", "chunk_id": 52, "language": "English", "was_translated": false }, { "text": "AM to 12:30 PM, and teaches Document Analysis and Classification, Section 1, from 12:30 to 1:00 PM. On Tuesdays, the same structure repeats: Statistical Packages Section 1 from 8:30 to 9:30 AM, office hours from 9:30 to 10:30 AM and 10:30 to 11:30 AM, Advanced Web Applications Section 1 from 11:30 AM to 12:30 PM, and Document Analysis and Classification Section 1 from 12:30 to 1:00 PM.", "source": "faculty_schedules.docx", "chunk_id": 53, "language": "English", "was_translated": false }, { "text": "from 11:30 AM to 12:30 PM, and Document Analysis and Classification Section 1 from 12:30 to 1:00 PM. On Thursdays, the same teaching schedule applies.", "source": "faculty_schedules.docx", "chunk_id": 54, "language": "English", "was_translated": false }, { "text": "nd Classification Section 1 from 12:30 to 1:00 PM. On Thursdays, the same teaching schedule applies. On Mondays, Professor Al Shboul teaches Electronic Commerce, Section 1, from 11:30 AM to 1:00 PM, Advanced Web Applications, Section 4, from 1:00 to 11:30 (likely 11:00 AM to 1:00 PM), and Decision Support Systems in the Public Sector, Section 1, from 5:00 to 8:00 PM.", "source": "faculty_schedules.docx", "chunk_id": 55, "language": "English", "was_translated": false }, { "text": "AM to 1:00 PM), and Decision Support Systems in the Public Sector, Section 1, from 5:00 to 8:00 PM. On Wednesdays, he teaches Electronic Commerce Section 1 from 11:30 AM to 1:00 PM and Advanced Web Applications Section 4 from 1:00 to 11:30 AM (same note applies). Professor Professor Yusuf Sinjlawi (د.", "source": "faculty_schedules.docx", "chunk_id": 56, "language": "English", "was_translated": false }, { "text": "ications Section 4 from 1:00 to 11:30 AM (same note applies). Professor Professor Yusuf Sinjlawi (د. يوسف سنجلاوي) Schedule Department: Information Technology Department Second Semester 2025/2026 Professor Yusuf Sinjlawi is a faculty member in the Information Technology Department at the University of Jordan.", "source": "faculty_schedules.docx", "chunk_id": 57, "language": "English", "was_translated": false }, { "text": "f Sinjlawi is a faculty member in the Information Technology Department at the University of Jordan. The following describes his schedule for the Second Semester of the academic year 2025/2026. On Sundays, Professor Sinjlawi has office hours from 12:30 to 1:30 PM and teaches Business Simulation, Section 1, from 2:30 to 1:30 PM (likely 1:30 to 2:30 PM).", "source": "faculty_schedules.docx", "chunk_id": 58, "language": "English", "was_translated": false }, { "text": "o 1:30 PM and teaches Business Simulation, Section 1, from 2:30 to 1:30 PM (likely 1:30 to 2:30 PM). He also teaches Special Topics in Data Science, Section 1, from 5:30 to 4:30 PM (i.e., 4:30 to 5:30 PM). On Tuesdays, the same schedule applies: office hours from 12:30 to 1:30 PM, Business Simulation Section 1 from 1:30 to 2:30 PM, and Special Topics in Data Science Section 1 from 4:30 to 5:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 59, "language": "English", "was_translated": false }, { "text": "n Section 1 from 1:30 to 2:30 PM, and Special Topics in Data Science Section 1 from 4:30 to 5:30 PM. On Thursdays, the same three time blocks are repeated. On Mondays, Professor Sinjlawi teaches Special Topics, Section 1, from 5:00 to 4:30 PM (i.e., 4:30 to 5:00 PM or similar). On Wednesdays, he teaches Special Topics Section 1 in the same time block. Professor Professor Sharif Makhademah (د.", "source": "faculty_schedules.docx", "chunk_id": 60, "language": "English", "was_translated": false }, { "text": "e teaches Special Topics Section 1 in the same time block. Professor Professor Sharif Makhademah (د. شريف مخادمه) Schedule Department: Information Technology Department Second Semester 2025/2026 Professor Sharif Makhademah is a faculty member in the Information Technology Department at the University of Jordan.", "source": "faculty_schedules.docx", "chunk_id": 61, "language": "English", "was_translated": false }, { "text": "Makhademah is a faculty member in the Information Technology Department at the University of Jordan. The following describes his schedule for the Second Semester of the academic year 2025/2026.", "source": "faculty_schedules.docx", "chunk_id": 62, "language": "English", "was_translated": false }, { "text": "Jordan. The following describes his schedule for the Second Semester of the academic year 2025/2026. On Sundays, Professor Makhademah has office hours from 8:30 to 9:30 AM, teaches Data Mining, Section 1, from 9:30 to 10:30 AM, teaches Mobile Programming, Section 1, from 10:30 to 11:30 AM, and teaches Web Application Development, Section 12, from 12:30 to 1:00 PM.", "source": "faculty_schedules.docx", "chunk_id": 63, "language": "English", "was_translated": false }, { "text": "from 10:30 to 11:30 AM, and teaches Web Application Development, Section 12, from 12:30 to 1:00 PM. On Tuesdays, the same schedule repeats: office hours from 8:30 to 9:30 AM, Data Mining Section 1 from 9:30 to 10:30 AM, Mobile Programming Section 1 from 10:30 to 11:30 AM, and Web Application Development Section 12 from 12:30 to 1:00 PM.", "source": "faculty_schedules.docx", "chunk_id": 64, "language": "English", "was_translated": false }, { "text": "Section 1 from 10:30 to 11:30 AM, and Web Application Development Section 12 from 12:30 to 1:00 PM. On Thursdays, the same pattern applies across all time slots. No Monday or Wednesday schedule was listed for Professor Makhademah. Professor Instructor Yusuf Khalil Al Majdalawi (م.", "source": "faculty_schedules.docx", "chunk_id": 65, "language": "English", "was_translated": false }, { "text": "day schedule was listed for Professor Makhademah. Professor Instructor Yusuf Khalil Al Majdalawi (م. يوسف خليل المجدلاوي) Schedule Department: Information Technology Department Second Semester 2025/2026 Email: ymajdal@ju.edu.jo Instructor Yusuf Khalil Al Majdalawi is a teaching staff member at the King Abdullah II Faculty of Information Technology, University of Jordan. His email is ymajdal@ju.", "source": "faculty_schedules.docx", "chunk_id": 66, "language": "English", "was_translated": false }, { "text": "e King Abdullah II Faculty of Information Technology, University of Jordan. His email is ymajdal@ju.edu.jo. The following describes his schedule for the Second Semester of the academic year 2025/2026. His research interests include ICT applications such as E learning, E government, cloud computing, and E commerce.", "source": "faculty_schedules.docx", "chunk_id": 67, "language": "English", "was_translated": false }, { "text": "nterests include ICT applications such as E learning, E government, cloud computing, and E commerce. On Sundays, Instructor Al Majdalawi teaches Modern Digital Skills in Room 205 from 8:30 to 9:30 AM, and Modern Digital Skills again in Room 303 from 9:30 to 10:30 AM. He has combined office hours and academic advising from 11:30 AM to 12:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 68, "language": "English", "was_translated": false }, { "text": "from 9:30 to 10:30 AM. He has combined office hours and academic advising from 11:30 AM to 12:30 PM. He teaches Modern Digital Skills in Room 205 from 12:30 to 1:30 PM, and Modern Digital Skills in Room 001 from 1:30 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 69, "language": "English", "was_translated": false }, { "text": "kills in Room 205 from 12:30 to 1:30 PM, and Modern Digital Skills in Room 001 from 1:30 to 2:30 PM. On Tuesdays, the same schedule repeats: Modern Digital Skills in Room 205 from 8:30 to 9:30 AM, Room 303 from 9:30 to 10:30 AM, office hours and advising from 11:30 AM to 12:30 PM, Room 205 from 12:30 to 1:30 PM, and Room 001 from 1:30 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 70, "language": "English", "was_translated": false }, { "text": "vising from 11:30 AM to 12:30 PM, Room 205 from 12:30 to 1:30 PM, and Room 001 from 1:30 to 2:30 PM. On Mondays, Instructor Al Majdalawi teaches Object Oriented Programming in Lab 202 from 8:30 to 10:00 AM, Object Oriented Programming in Lab 202 from 11:30 AM to 1:00 PM, and Object Oriented Programming in Lab 204 from 1:00 to 11:30 AM (likely a continuation from 1:00 PM).", "source": "faculty_schedules.docx", "chunk_id": 71, "language": "English", "was_translated": false }, { "text": "d Object Oriented Programming in Lab 204 from 1:00 to 11:30 AM (likely a continuation from 1:00 PM). On Wednesdays, he teaches Object Oriented Programming in Lab 202 from 8:30 to 10:00 AM, in Lab 202 from 11:30 AM to 1:00 PM, and in Lab 204 from 1:00 to 11:30 AM. Professor Instructor Rula Ismail Al Khalid (م.", "source": "faculty_schedules.docx", "chunk_id": 72, "language": "English", "was_translated": false }, { "text": "AM to 1:00 PM, and in Lab 204 from 1:00 to 11:30 AM. Professor Instructor Rula Ismail Al Khalid (م. رولا اسماعيل الخالد) Schedule Department: Information Technology Department Second Semester 2025/2026 Email: r.khalid@ju.edu.jo Instructor Rula Ismail Al Khalid is a teaching staff member at the King Abdullah II Faculty of Information Technology, University of Jordan. Her email is r.khalid@ju.edu.", "source": "faculty_schedules.docx", "chunk_id": 73, "language": "English", "was_translated": false }, { "text": "g Abdullah II Faculty of Information Technology, University of Jordan. Her email is r.khalid@ju.edu.jo. The following describes her schedule for the Second Semester of the academic year 2025/2026. Her research interests include Image Processing and Algorithms.", "source": "faculty_schedules.docx", "chunk_id": 74, "language": "English", "was_translated": false }, { "text": "ster of the academic year 2025/2026. Her research interests include Image Processing and Algorithms. On Sundays, Instructor Al Khalid teaches Object Oriented Programming in Lab 202 from 8:30 to 9:30 AM, and Object Oriented Programming in Lab 206 from 9:30 to 10:30 AM. She also teaches Modern Digital Skills in Room 201 from 10:30 to 11:30 AM.", "source": "faculty_schedules.docx", "chunk_id": 75, "language": "English", "was_translated": false }, { "text": "06 from 9:30 to 10:30 AM. She also teaches Modern Digital Skills in Room 201 from 10:30 to 11:30 AM. She has combined office hours and academic advising from 12:30 to 1:30 PM, and teaches Computer Basics in Lab 205 from 1:30 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 76, "language": "English", "was_translated": false }, { "text": "cademic advising from 12:30 to 1:30 PM, and teaches Computer Basics in Lab 205 from 1:30 to 2:30 PM. On Tuesdays, the same schedule repeats: OOP Lab 202 from 8:30 to 9:30 AM, OOP Lab 206 from 9:30 to 10:30 AM, Modern Digital Skills Room 201 from 10:30 to 11:30 AM, office hours and advising from 12:30 to 1:30 PM, and Computer Basics Lab 205 from 1:30 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 77, "language": "English", "was_translated": false }, { "text": ", office hours and advising from 12:30 to 1:30 PM, and Computer Basics Lab 205 from 1:30 to 2:30 PM. On Thursdays, only the Object Oriented Programming sections in Lab 202 and Lab 206 are scheduled. On Mondays, Instructor Al Khalid teaches Computer Basics in Lab 104 from 11:30 AM to 1:00 PM and in Lab 207 from 1:00 to 11:30 AM (likely continuing). Professor Instructor Asil Muhammad Al Anani (م.", "source": "faculty_schedules.docx", "chunk_id": 78, "language": "English", "was_translated": false }, { "text": "n Lab 207 from 1:00 to 11:30 AM (likely continuing). Professor Instructor Asil Muhammad Al Anani (م. أصيل محمد العناني) Schedule Department: Information Technology Department Second Semester 2025/2026 Email: a.anani@ju.edu.jo Instructor Asil Muhammad Al Anani is a teaching staff member at the King Abdullah II Faculty of Information Technology, University of Jordan. Her email is a.anani@ju.edu.jo.", "source": "faculty_schedules.docx", "chunk_id": 79, "language": "English", "was_translated": false }, { "text": "Abdullah II Faculty of Information Technology, University of Jordan. Her email is a.anani@ju.edu.jo. The following describes her schedule for the Second Semester of the academic year 2025/2026. Her research interests include Image Processing and Algorithms.", "source": "faculty_schedules.docx", "chunk_id": 80, "language": "English", "was_translated": false }, { "text": "ster of the academic year 2025/2026. Her research interests include Image Processing and Algorithms. On Sundays, Instructor Al Anani teaches Modern Digital Skills in Room 201 from 8:30 to 9:30 AM, Object Oriented Programming in Lab 207 from 9:30 to 10:30 AM, and Object Oriented Programming in Lab 207 again from 10:30 to 11:30 AM.", "source": "faculty_schedules.docx", "chunk_id": 81, "language": "English", "was_translated": false }, { "text": "207 from 9:30 to 10:30 AM, and Object Oriented Programming in Lab 207 again from 10:30 to 11:30 AM. She has combined office hours and advising from 12:30 to 1:30 PM, and teaches Modern Digital Skills in Room 205 from 1:30 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 82, "language": "English", "was_translated": false }, { "text": "advising from 12:30 to 1:30 PM, and teaches Modern Digital Skills in Room 205 from 1:30 to 2:30 PM. On Tuesdays, the same structure applies: Modern Digital Skills Room 201 from 8:30 to 9:30 AM, OOP Lab 207 from 9:30 to 10:30 AM, OOP Lab 207 from 10:30 to 11:30 AM, office hours and advising from 12:30 to 1:30 PM, and Modern Digital Skills Room 205 from 1:30 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 83, "language": "English", "was_translated": false }, { "text": "e hours and advising from 12:30 to 1:30 PM, and Modern Digital Skills Room 205 from 1:30 to 2:30 PM. On Thursdays, she only teaches OOP in Lab 207 across the morning slots. On Mondays, Instructor Al Anani teaches Computer Basics in Lab 201 from 8:30 to 10:00 AM and in Lab 205 from 11:30 AM to 1:00 PM. Professor Instructor Tahani Salah Al Khatib (د/م.", "source": "faculty_schedules.docx", "chunk_id": 84, "language": "English", "was_translated": false }, { "text": "10:00 AM and in Lab 205 from 11:30 AM to 1:00 PM. Professor Instructor Tahani Salah Al Khatib (د/م. تهاني صلاح الخطيب) Schedule Department: Information Technology Department Second Semester 2025/2026 Email: tahani.khatib@ju.edu.jo Instructor Tahani Salah Al Khatib is a teaching staff member at the King Abdullah II Faculty of Information Technology, University of Jordan. Her email is tahani.", "source": "faculty_schedules.docx", "chunk_id": 85, "language": "English", "was_translated": false }, { "text": "t the King Abdullah II Faculty of Information Technology, University of Jordan. Her email is tahani.khatib@ju.edu.jo. The following describes her schedule for the Second Semester of the academic year 2025/2026. Her research interests include the Philosophy and Ethics of Artificial Intelligence, Responsible AI, Digital Citizenship, Computer Vision, and Signal Processing with AI.", "source": "faculty_schedules.docx", "chunk_id": 86, "language": "English", "was_translated": false }, { "text": "l Intelligence, Responsible AI, Digital Citizenship, Computer Vision, and Signal Processing with AI.", "source": "faculty_schedules.docx", "chunk_id": 87, "language": "English", "was_translated": false }, { "text": "On Sundays, she teaches Special Topics in Digital Skills in Lab 204 from 8:30 to 9:30 AM, Special Topics in Digital Skills in Lab 205 from 9:30 to 10:30 AM, has combined office hours and academic advising from 11:30 AM to 12:30 PM, Special Topics in Digital Skills in Lab 205 from 12:30 to 1:30 PM, and Multimedia in Lab 104 from 1:30 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 88, "language": "English", "was_translated": false }, { "text": "in Digital Skills in Lab 205 from 12:30 to 1:30 PM, and Multimedia in Lab 104 from 1:30 to 2:30 PM. On Tuesdays, the same pattern repeats: Special Topics Lab 204 from 8:30 to 9:30 AM, Lab 205 from 9:30 to 10:30 AM, office hours from 11:30 AM to 12:30 PM, Lab 205 from 12:30 to 1:30 PM, and Multimedia Lab 104 from 1:30 to 2:30 PM. On Thursdays, only Multimedia in Lab 104 is scheduled.", "source": "faculty_schedules.docx", "chunk_id": 89, "language": "English", "was_translated": false }, { "text": "and Multimedia Lab 104 from 1:30 to 2:30 PM. On Thursdays, only Multimedia in Lab 104 is scheduled. On Mondays, Instructor Al Khatib teaches Special Topics in Digital Skills in Lab 206 from 1:00 to 11:30 AM (likely 11:00 AM to 1:00 PM), and AI Ethics and Data Science Online from 1:00 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 90, "language": "English", "was_translated": false }, { "text": "o 11:30 AM (likely 11:00 AM to 1:00 PM), and AI Ethics and Data Science Online from 1:00 to 2:30 PM. On Wednesdays, she teaches Special Topics in Digital Skills in Lab 206 from 11:00 AM to 1:00 PM and AI Ethics and Data Science Online from 1:00 to 2:30 PM. Professor Instructor Lama Rajab Abd Al Majid (م.", "source": "faculty_schedules.docx", "chunk_id": 91, "language": "English", "was_translated": false }, { "text": "thics and Data Science Online from 1:00 to 2:30 PM. Professor Instructor Lama Rajab Abd Al Majid (م. لمى رجب عبد المجيد) Schedule Department: Information Technology Department Second Semester 2025/2026 Email: lama.rajab@ju.edu.jo Instructor Lama Rajab Abd Al Majid is a teaching staff member at the King Abdullah II Faculty of Information Technology, University of Jordan. Her email is lama.rajab@ju.", "source": "faculty_schedules.docx", "chunk_id": 92, "language": "English", "was_translated": false }, { "text": "ing Abdullah II Faculty of Information Technology, University of Jordan. Her email is lama.rajab@ju.edu.jo. The following describes her schedule for the Second Semester of the academic year 2025/2026. Her research interests include Biomedical Image Processing, Database Systems, E Learning, and Cloud Computing.", "source": "faculty_schedules.docx", "chunk_id": 93, "language": "English", "was_translated": false }, { "text": "ch interests include Biomedical Image Processing, Database Systems, E Learning, and Cloud Computing.", "source": "faculty_schedules.docx", "chunk_id": 94, "language": "English", "was_translated": false }, { "text": "On Sundays, she teaches Database Management Systems in Lab 205 from 8:30 to 9:30 AM, Modern Digital Skills in Room 205 from 9:30 to 10:30 AM, Modern Digital Skills in the Scientific Halls Complex (Room 20) from 10:30 to 11:30 AM, Modern Digital Skills in Room 201 from 12:30 to 1:30 PM, and Modern Digital Skills in Room 201 from 1:30 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 95, "language": "English", "was_translated": false }, { "text": "kills in Room 201 from 12:30 to 1:30 PM, and Modern Digital Skills in Room 201 from 1:30 to 2:30 PM. On Tuesdays, the same pattern repeats: Database Management Systems Lab 205 from 8:30 to 9:30 AM, Modern Digital Skills Room 205 from 9:30 to 10:30 AM, Modern Digital Skills in the Scientific Halls Complex from 10:30 to 11:30 AM, Room 201 from 12:30 to 1:30 PM, and Room 201 from 1:30 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 96, "language": "English", "was_translated": false }, { "text": "s Complex from 10:30 to 11:30 AM, Room 201 from 12:30 to 1:30 PM, and Room 201 from 1:30 to 2:30 PM. On Thursdays, she teaches Database Management Systems in Lab 205 from 8:30 to 9:30 AM and Modern Digital Skills in Room 205 from 9:30 to 10:30 AM. She also has combined office hours and academic advising.", "source": "faculty_schedules.docx", "chunk_id": 97, "language": "English", "was_translated": false }, { "text": "Skills in Room 205 from 9:30 to 10:30 AM. She also has combined office hours and academic advising. On Mondays, Instructor Rajab teaches Special Topics in Digital Skills in Lab 207 from 8:30 to 10:00 AM, Modern Digital Skills in Room 201 from 11:30 AM to 1:00 PM, and has office hours and advising from 11:00 AM to 12:00 PM. Professor Instructor Tamara Yousef Al Mara'beh (م.", "source": "faculty_schedules.docx", "chunk_id": 98, "language": "English", "was_translated": false }, { "text": "ice hours and advising from 11:00 AM to 12:00 PM. Professor Instructor Tamara Yousef Al Mara'beh (م. تمارا يوسف المراعبة) Schedule Department: Information Technology Department Second Semester 2025/2026 Email: t.almaraabeh@ju.edu.jo Instructor Tamara Yousef Al Mara'beh is a teaching staff member at the King Abdullah II Faculty of Information Technology, University of Jordan. Her email is t.", "source": "faculty_schedules.docx", "chunk_id": 99, "language": "English", "was_translated": false }, { "text": "ber at the King Abdullah II Faculty of Information Technology, University of Jordan. Her email is t.almaraabeh@ju.edu.jo. The following describes her schedule for the Second Semester of the academic year 2025/2026. Her research interests include E business, E government, and E learning.", "source": "faculty_schedules.docx", "chunk_id": 100, "language": "English", "was_translated": false }, { "text": "he academic year 2025/2026. Her research interests include E business, E government, and E learning. On Sundays, Instructor Al Mara'beh teaches Computer Basics in Lab 206 from 8:30 to 9:30 AM, Modern Digital Skills in Room 202 from 9:30 to 10:30 AM, Computer Basics in Lab 201 from 10:30 to 11:30 AM, and Computer Basics in Lab 207 from 12:30 to 1:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 101, "language": "English", "was_translated": false }, { "text": "uter Basics in Lab 201 from 10:30 to 11:30 AM, and Computer Basics in Lab 207 from 12:30 to 1:30 PM. On Tuesdays, the same schedule repeats: Computer Basics Lab 206 from 8:30 to 9:30 AM, Modern Digital Skills Room 202 from 9:30 to 10:30 AM, Computer Basics Lab 201 from 10:30 to 11:30 AM, and Computer Basics Lab 207 from 12:30 to 1:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 102, "language": "English", "was_translated": false }, { "text": ", Computer Basics Lab 201 from 10:30 to 11:30 AM, and Computer Basics Lab 207 from 12:30 to 1:30 PM. On Mondays, she teaches Computer Basics in Lab 206 from 8:30 to 10:00 AM, Modern Digital Skills in Room 302 from 11:30 AM to 1:00 PM, and Computer Basics in Lab 201 from 1:00 to 11:30 AM (likely continued). Professor Instructor Hiba Ali Muhammad (م.", "source": "faculty_schedules.docx", "chunk_id": 103, "language": "English", "was_translated": false }, { "text": "sics in Lab 201 from 1:00 to 11:30 AM (likely continued). Professor Instructor Hiba Ali Muhammad (م. هبة علي محمد) Schedule Department: Information Technology Department Second Semester 2025/2026 Email: h.khadrawi@ju.edu.", "source": "faculty_schedules.docx", "chunk_id": 104, "language": "English", "was_translated": false }, { "text": "le Department: Information Technology Department Second Semester 2025/2026 Email: h.khadrawi@ju.edu.jo Instructor Hiba Ali Muhammad (also referred to as Hiba Khadrawi based on her email) is a teaching staff member at the King Abdullah II Faculty of Information Technology, University of Jordan. Her email is h.khadrawi@ju.edu.jo.", "source": "faculty_schedules.docx", "chunk_id": 105, "language": "English", "was_translated": false }, { "text": "ullah II Faculty of Information Technology, University of Jordan. Her email is h.khadrawi@ju.edu.jo. The following describes her schedule for the Second Semester of the academic year 2025/2026. Her research interests include Image Processing and E learning.", "source": "faculty_schedules.docx", "chunk_id": 106, "language": "English", "was_translated": false }, { "text": "ster of the academic year 2025/2026. Her research interests include Image Processing and E learning. On Sundays, she teaches Database Management Systems in Lab 207 from 8:30 to 9:30 AM, Modern Digital Skills in Room 203 from 9:30 to 10:30 AM, Modern Digital Skills in Room 205 from 10:30 to 11:30 AM, and Modern Digital Skills in Room 202 from 12:30 to 1:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 107, "language": "English", "was_translated": false }, { "text": "lls in Room 205 from 10:30 to 11:30 AM, and Modern Digital Skills in Room 202 from 12:30 to 1:30 PM. On Tuesdays, the same schedule repeats: Database Management Systems Lab 207 from 8:30 to 9:30 AM, Modern Digital Skills Room 203 from 9:30 to 10:30 AM, Room 205 from 10:30 to 11:30 AM, and Room 202 from 12:30 to 1:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 108, "language": "English", "was_translated": false }, { "text": "Room 203 from 9:30 to 10:30 AM, Room 205 from 10:30 to 11:30 AM, and Room 202 from 12:30 to 1:30 PM. On Thursdays, she only teaches Database Management Systems in Lab 207 from 8:30 to 9:30 AM.", "source": "faculty_schedules.docx", "chunk_id": 109, "language": "English", "was_translated": false }, { "text": "1:30 PM. On Thursdays, she only teaches Database Management Systems in Lab 207 from 8:30 to 9:30 AM. On Mondays, Instructor Muhammad teaches Computer Basics in Lab 205 from 8:30 to 10:00 AM, Modern Digital Skills in Room 205 from 11:30 AM to 1:00 PM, and Modern Digital Skills in Room 302 from 1:00 to 11:30 AM (likely continued). Professor Professor Rana Muhammad Yousef (أ.د.", "source": "faculty_schedules.docx", "chunk_id": 110, "language": "English", "was_translated": false }, { "text": "in Room 302 from 1:00 to 11:30 AM (likely continued). Professor Professor Rana Muhammad Yousef (أ.د. رنا محمد يوسف) Schedule Department: Information Technology Department Head of Computer Information Systems Department Second Semester 2025/2026 Email: Rana.Yousef@ju.edu.", "source": "faculty_schedules.docx", "chunk_id": 111, "language": "English", "was_translated": false }, { "text": "Head of Computer Information Systems Department Second Semester 2025/2026 Email: Rana.Yousef@ju.edu.jo Professor Rana Muhammad Yousef is a senior faculty member and Head of the Computer Information Systems Department at the King Abdullah II Faculty of Information Technology, University of Jordan. Her email is Rana.Yousef@ju.edu.jo.", "source": "faculty_schedules.docx", "chunk_id": 112, "language": "English", "was_translated": false }, { "text": "llah II Faculty of Information Technology, University of Jordan. Her email is Rana.Yousef@ju.edu.jo. The following describes her schedule for the Second Semester of the academic year 2025/2026.", "source": "faculty_schedules.docx", "chunk_id": 113, "language": "English", "was_translated": false }, { "text": "edu.jo. The following describes her schedule for the Second Semester of the academic year 2025/2026. Her research interests include Business Process Architectures, Software Testing and Validation, Semantic Modeling, Project Management, Software Applications in Healthcare and E learning, and Generative AI and its Applications.", "source": "faculty_schedules.docx", "chunk_id": 114, "language": "English", "was_translated": false }, { "text": "agement, Software Applications in Healthcare and E learning, and Generative AI and its Applications. On Sundays, Professor Yousef teaches Functional Preparation 3 (Skills) in the College Auditorium from 8:30 AM to 12:30 PM, followed by scientific research from 12:30 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 115, "language": "English", "was_translated": false }, { "text": "College Auditorium from 8:30 AM to 12:30 PM, followed by scientific research from 12:30 to 2:30 PM. On Tuesdays, the same structure applies: Functional Preparation 3 (Skills) in the College Auditorium from 8:30 AM to 12:30 PM, then scientific research from 12:30 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 116, "language": "English", "was_translated": false }, { "text": "in the College Auditorium from 8:30 AM to 12:30 PM, then scientific research from 12:30 to 2:30 PM. On Thursdays, she also teaches Functional Preparation 3 (Skills) in the College Auditorium from 8:30 AM to 12:30 PM and has scientific research from 12:30 to 2:30 PM. On Mondays, she has office hours from 8:30 to 10:00 AM and Project Management Online from 2:30 to 4:00 PM.", "source": "faculty_schedules.docx", "chunk_id": 117, "language": "English", "was_translated": false }, { "text": "days, she has office hours from 8:30 to 10:00 AM and Project Management Online from 2:30 to 4:00 PM. On Wednesdays, she teaches Special Topics in Digital Skills (Certificate Track) from 11:30 AM to 1:30 PM and Project Management Online from 2:30 to 4:00 PM. Professor Professor Musa Tawfiq Al Akhras (د.", "source": "faculty_schedules.docx", "chunk_id": 118, "language": "English", "was_translated": false }, { "text": "PM and Project Management Online from 2:30 to 4:00 PM. Professor Professor Musa Tawfiq Al Akhras (د. موسى توفيق الأخرس) Schedule Department: Information Technology Department Second Semester 2025/2026 Email: mousa.akhras@ju.edu.jo Professor Musa Tawfiq Al Akhras is a faculty member at the King Abdullah II Faculty of Information Technology, University of Jordan. His email is mousa.akhras@ju.edu.jo.", "source": "faculty_schedules.docx", "chunk_id": 119, "language": "English", "was_translated": false }, { "text": "lah II Faculty of Information Technology, University of Jordan. His email is mousa.akhras@ju.edu.jo. The following describes his schedule for the Second Semester of the academic year 2025/2026. His research interests include AI Algorithms and their Medical Applications.", "source": "faculty_schedules.docx", "chunk_id": 120, "language": "English", "was_translated": false }, { "text": "cademic year 2025/2026. His research interests include AI Algorithms and their Medical Applications.", "source": "faculty_schedules.docx", "chunk_id": 121, "language": "English", "was_translated": false }, { "text": "On Sundays, Professor Al Akhras teaches Internet of Things (IoT) in Lab 304 from 1:30 to 2:30 PM, Internet of Things in Lab 304 from 2:30 to 3:30 PM, has office hours and academic advising from 3:30 to 4:30 PM, and teaches AI and Expert Systems for Master's students in Room 105 from 4:00 to 7:00 PM.", "source": "faculty_schedules.docx", "chunk_id": 122, "language": "English", "was_translated": false }, { "text": "o 4:30 PM, and teaches AI and Expert Systems for Master's students in Room 105 from 4:00 to 7:00 PM. On Tuesdays, he teaches Internet of Things in Lab 304 from 1:30 to 2:30 PM, IoT in Lab 304 from 2:30 to 3:30 PM, has office hours and advising from 3:30 to 4:30 PM, and teaches Applied Data Science at the Engineering Faculty from 4:00 to 7:00 PM.", "source": "faculty_schedules.docx", "chunk_id": 123, "language": "English", "was_translated": false }, { "text": "m 3:30 to 4:30 PM, and teaches Applied Data Science at the Engineering Faculty from 4:00 to 7:00 PM. On Thursdays, he teaches Internet of Things in Lab 304 from 1:30 to 2:30 PM and IoT from 2:30 to 3:30 PM. On Mondays, he teaches Research Methodology for Master's students in Room 105 from 4:00 to 7:00 PM. Professor Professor Abd Al Basit Jamal Assaf (د.", "source": "faculty_schedules.docx", "chunk_id": 124, "language": "English", "was_translated": false }, { "text": "Master's students in Room 105 from 4:00 to 7:00 PM. Professor Professor Abd Al Basit Jamal Assaf (د. عبد الباسط جمال عساف) Schedule Department: Information Technology Department Assistant Dean for Student Affairs Second Semester 2025/2026 Email: ab.assaf@ju.edu.", "source": "faculty_schedules.docx", "chunk_id": 125, "language": "English", "was_translated": false }, { "text": "logy Department Assistant Dean for Student Affairs Second Semester 2025/2026 Email: ab.assaf@ju.edu.jo Professor Abd Al Basit Jamal Assaf is a faculty member and Assistant Dean for Student Affairs at the King Abdullah II Faculty of Information Technology, University of Jordan. His email is ab.assaf@ju.edu.jo.", "source": "faculty_schedules.docx", "chunk_id": 126, "language": "English", "was_translated": false }, { "text": "bdullah II Faculty of Information Technology, University of Jordan. His email is ab.assaf@ju.edu.jo. The following describes his schedule for the Second Semester of the academic year 2025/2026. His research interests include Serious Games, Game Based Learning, Generative AI, and Mobile Development.", "source": "faculty_schedules.docx", "chunk_id": 127, "language": "English", "was_translated": false }, { "text": "esearch interests include Serious Games, Game Based Learning, Generative AI, and Mobile Development. On Sundays, Professor Assaf has combined office hours and academic advising from 10:30 to 11:30 AM, teaches Object Oriented Programming in Lab 206 from 12:30 to 11:30 AM (i.e., 11:30 AM to 12:30 PM), and teaches Object Oriented Programming in Lab 202 from 1:30 to 12:30 PM (i.e., 12:30 to 1:30 PM).", "source": "faculty_schedules.docx", "chunk_id": 128, "language": "English", "was_translated": false }, { "text": ", and teaches Object Oriented Programming in Lab 202 from 1:30 to 12:30 PM (i.e., 12:30 to 1:30 PM). On Tuesdays, the same schedule applies: office hours and advising from 10:30 to 11:30 AM, OOP Lab 206 from 11:30 AM to 12:30 PM, and OOP Lab 202 from 12:30 to 1:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 129, "language": "English", "was_translated": false }, { "text": "rom 10:30 to 11:30 AM, OOP Lab 206 from 11:30 AM to 12:30 PM, and OOP Lab 202 from 12:30 to 1:30 PM. On Thursdays, the schedule continues: office hours and advising from 10:30 to 11:30 AM, OOP Lab 206 from 11:30 AM to 12:30 PM, and OOP Lab 202 from 12:30 to 1:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 130, "language": "English", "was_translated": false }, { "text": "rom 10:30 to 11:30 AM, OOP Lab 206 from 11:30 AM to 12:30 PM, and OOP Lab 202 from 12:30 to 1:30 PM. On Mondays, he teaches Modern Digital Skills in Room 202 from 1:00 to 11:30 AM (likely 11:00 AM to 1:00 PM) and Mobile Development Frameworks in Lab 204 from 1:00 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 131, "language": "English", "was_translated": false }, { "text": "0 AM (likely 11:00 AM to 1:00 PM) and Mobile Development Frameworks in Lab 204 from 1:00 to 2:30 PM. On Wednesdays, he has office hours and academic advising (12 to 1 PM) and teaches Mobile Development Frameworks in Lab 204 from 1:00 to 2:30 PM. Professor Professor Muhammad Abd Al Rahman Abu Shariah (د.", "source": "faculty_schedules.docx", "chunk_id": 132, "language": "English", "was_translated": false }, { "text": "ameworks in Lab 204 from 1:00 to 2:30 PM. Professor Professor Muhammad Abd Al Rahman Abu Shariah (د. محمد عبد الرحمن أبو شريعة) Schedule Department: Information Technology Department Second Semester 2025/2026 Email: M.Abushariah@ju.edu.jo Professor Muhammad Abd Al Rahman Abu Shariah is a faculty member at the King Abdullah II Faculty of Information Technology, University of Jordan. His email is M.", "source": "faculty_schedules.docx", "chunk_id": 133, "language": "English", "was_translated": false }, { "text": "ber at the King Abdullah II Faculty of Information Technology, University of Jordan. His email is M.Abushariah@ju.edu.jo. The following describes his schedule for the Second Semester of the academic year 2025/2026.", "source": "faculty_schedules.docx", "chunk_id": 134, "language": "English", "was_translated": false }, { "text": "edu.jo. The following describes his schedule for the Second Semester of the academic year 2025/2026. His research interests include Human Computer Interaction (HCI), Software Engineering (SE), Information Systems (IS), Natural Language Processing (NLP), Automatic Speech Recognition (ASR), and Multimodal Intelligent Systems with Artificial Intelligence.", "source": "faculty_schedules.docx", "chunk_id": 135, "language": "English", "was_translated": false }, { "text": "Automatic Speech Recognition (ASR), and Multimodal Intelligent Systems with Artificial Intelligence. On Sundays, Professor Abu Shariah teaches Information Systems and Applications in Room 203 from 8:30 to 9:30 AM and in Room 201 from 9:30 to 10:30 AM. He has office hours and advising from 11:30 AM to 12:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 136, "language": "English", "was_translated": false }, { "text": "M and in Room 201 from 9:30 to 10:30 AM. He has office hours and advising from 11:30 AM to 12:30 PM. On Tuesdays, he teaches Information Systems and Applications in Room 203 from 8:30 to 9:30 AM and Room 201 from 9:30 to 10:30 AM. He has office hours and advising from 11:30 AM to 12:30 PM, and provides graduate student supervision from 4:00 to 3:00 PM (i.e., 3:00 to 4:00 PM).", "source": "faculty_schedules.docx", "chunk_id": 137, "language": "English", "was_translated": false }, { "text": "to 12:30 PM, and provides graduate student supervision from 4:00 to 3:00 PM (i.e., 3:00 to 4:00 PM). He also teaches Multimedia for Master's students in Lab 204 from 4:00 to 7:00 PM. On Thursdays, he teaches Information Systems and Applications in Room 203 from 8:30 to 9:30 AM and Room 201 from 9:30 to 10:30 AM, and provides graduate student advising from 3:00 to 4:00 PM.", "source": "faculty_schedules.docx", "chunk_id": 138, "language": "English", "was_translated": false }, { "text": "AM and Room 201 from 9:30 to 10:30 AM, and provides graduate student advising from 3:00 to 4:00 PM. He also teaches Natural Language Processing for PhD students in Lab 204 from 4:00 to 7:00 PM. On Mondays, he teaches Software Engineering in Lab 204 from 8:30 to 10:00 AM and from 11:30 AM to 1:00 PM. He also has office hours and advising from 1:00 to 11:30 AM (likely morning continuation).", "source": "faculty_schedules.docx", "chunk_id": 139, "language": "English", "was_translated": false }, { "text": "1:00 PM. He also has office hours and advising from 1:00 to 11:30 AM (likely morning continuation). On Wednesdays, he teaches Software Engineering in Lab 204 from 8:30 to 10:00 AM and from 11:30 AM to 1:00 PM, with office hours and advising. Professor Professor Thaer Mahmoud Hamtini (أ.د.", "source": "faculty_schedules.docx", "chunk_id": 140, "language": "English", "was_translated": false }, { "text": "11:30 AM to 1:00 PM, with office hours and advising. Professor Professor Thaer Mahmoud Hamtini (أ.د. ثائر محمود حمتيني) Schedule Department: Information Technology Department Second Semester 2025/2026 Email: thamtini@ju.edu.jo Professor Thaer Mahmoud Hamtini is a senior faculty member at the King Abdullah II Faculty of Information Technology, University of Jordan. His email is thamtini@ju.edu.jo.", "source": "faculty_schedules.docx", "chunk_id": 141, "language": "English", "was_translated": false }, { "text": "bdullah II Faculty of Information Technology, University of Jordan. His email is thamtini@ju.edu.jo. The following describes his schedule for the Second Semester of the academic year 2025/2026. His research interests include Leveraging Generative AI in Education, Adaptive E Learning Systems, Personalized Learning, Gamification, and Customer Centric Training Strategies in SaaS Startups.", "source": "faculty_schedules.docx", "chunk_id": 142, "language": "English", "was_translated": false }, { "text": "ems, Personalized Learning, Gamification, and Customer Centric Training Strategies in SaaS Startups. On Sundays, Professor Hamtini teaches Database Management Systems in Lab 204 from 12:30 to 11:30 AM (i.e., 11:30 AM to 12:30 PM), teaches Computer Basics in Lab 201 from 1:30 to 12:30 PM (i.e., 12:30 to 1:30 PM), teaches Database Management Systems in Lab 205 from 2:30 to 1:30 PM (i.e.", "source": "faculty_schedules.docx", "chunk_id": 143, "language": "English", "was_translated": false }, { "text": "(i.e., 12:30 to 1:30 PM), teaches Database Management Systems in Lab 205 from 2:30 to 1:30 PM (i.e., 1:30 to 2:30 PM), and teaches Computer Basics in Lab 002 from 3:30 to 2:30 PM (i.e., 2:30 to 3:30 PM).", "source": "faculty_schedules.docx", "chunk_id": 144, "language": "English", "was_translated": false }, { "text": "30 to 2:30 PM), and teaches Computer Basics in Lab 002 from 3:30 to 2:30 PM (i.e., 2:30 to 3:30 PM). On Tuesdays, the same schedule repeats: Database Management Systems Lab 204 from 11:30 AM to 12:30 PM, Computer Basics Lab 201 from 12:30 to 1:30 PM, Database Management Systems Lab 205 from 1:30 to 2:30 PM, and Computer Basics Lab 002 from 2:30 to 3:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 145, "language": "English", "was_translated": false }, { "text": "e Management Systems Lab 205 from 1:30 to 2:30 PM, and Computer Basics Lab 002 from 2:30 to 3:30 PM. On Thursdays, he teaches Database Management Systems in Lab 204 from 11:30 AM to 12:30 PM, Database Management Systems in Lab 205 from 1:30 to 2:30 PM, and has office hours during a midday slot.", "source": "faculty_schedules.docx", "chunk_id": 146, "language": "English", "was_translated": false }, { "text": "abase Management Systems in Lab 205 from 1:30 to 2:30 PM, and has office hours during a midday slot. On Wednesdays, Professor Hamtini has office hours from 3:00 to 4:00 PM and teaches E Learning for Master's students in Room 201 from 4:00 to 7:00 PM. Professor Professor Amjad Ahmad Hudaib (أ.د.", "source": "faculty_schedules.docx", "chunk_id": 147, "language": "English", "was_translated": false }, { "text": "for Master's students in Room 201 from 4:00 to 7:00 PM. Professor Professor Amjad Ahmad Hudaib (أ.د. أمجد أحمد هديب) Schedule Department: Information Technology Department Second Semester 2025/2026 Email: ahudaib@ju.edu.jo Professor Amjad Ahmad Hudaib is a senior faculty member at the King Abdullah II Faculty of Information Technology, University of Jordan. His email is ahudaib@ju.edu.jo.", "source": "faculty_schedules.docx", "chunk_id": 148, "language": "English", "was_translated": false }, { "text": "Abdullah II Faculty of Information Technology, University of Jordan. His email is ahudaib@ju.edu.jo. The following describes his schedule for the Second Semester of the academic year 2025/2026. His research interests include Software Engineering, AI Techniques, and Algorithms.", "source": "faculty_schedules.docx", "chunk_id": 149, "language": "English", "was_translated": false }, { "text": "year 2025/2026. His research interests include Software Engineering, AI Techniques, and Algorithms. On Sundays, Professor Hudaib teaches Software Engineering in Lab 204 from 10:30 to 11:30 AM, has office hours from 11:30 AM to 12:30 PM, teaches Advanced Topics in Software Engineering in Lab 204 from 12:30 to 1:30 PM, and teaches Software Engineering again in Lab 204 from 1:30 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 150, "language": "English", "was_translated": false }, { "text": "b 204 from 12:30 to 1:30 PM, and teaches Software Engineering again in Lab 204 from 1:30 to 2:30 PM. On Tuesdays, the same schedule repeats: Software Engineering Lab 204 from 10:30 to 11:30 AM, office hours from 11:30 AM to 12:30 PM, Advanced Topics in Software Engineering Lab 204 from 12:30 to 1:30 PM, and Software Engineering Lab 204 from 1:30 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 151, "language": "English", "was_translated": false }, { "text": "re Engineering Lab 204 from 12:30 to 1:30 PM, and Software Engineering Lab 204 from 1:30 to 2:30 PM. On Thursdays, the same full schedule applies. On Mondays, Professor Hudaib has office hours from 1:00 to 11:30 AM (likely 11:00 AM to 1:00 PM), teaches Computer Basics in Lab 206 from 1:00 to 2:30 PM, and teaches Computer Basics in Lab 206 again from 2:30 to 4:00 PM.", "source": "faculty_schedules.docx", "chunk_id": 152, "language": "English", "was_translated": false }, { "text": "in Lab 206 from 1:00 to 2:30 PM, and teaches Computer Basics in Lab 206 again from 2:30 to 4:00 PM. Professor Professor Huda Abd Al Rahim Karajeh (د. هدى عبد الرحيم كراجة) Schedule Department: Information Technology Department Second Semester 2025/2026 Email: h.karajeh@ju.edu.", "source": "faculty_schedules.docx", "chunk_id": 153, "language": "English", "was_translated": false }, { "text": "ule Department: Information Technology Department Second Semester 2025/2026 Email: h.karajeh@ju.edu.jo Professor Huda Abd Al Rahim Karajeh is a faculty member at the King Abdullah II Faculty of Information Technology, University of Jordan. Her email is h.karajeh@ju.edu.jo. The following describes her schedule for the Second Semester of the academic year 2025/2026.", "source": "faculty_schedules.docx", "chunk_id": 154, "language": "English", "was_translated": false }, { "text": "edu.jo. The following describes her schedule for the Second Semester of the academic year 2025/2026. Her research interests include Digital Image Processing and Computer Vision.", "source": "faculty_schedules.docx", "chunk_id": 155, "language": "English", "was_translated": false }, { "text": "cademic year 2025/2026. Her research interests include Digital Image Processing and Computer Vision.", "source": "faculty_schedules.docx", "chunk_id": 156, "language": "English", "was_translated": false }, { "text": "On Sundays, Professor Karajeh teaches Digital Image Processing in Lab 202 from 9:30 to 10:30 AM, Digital Image Processing in Lab 202 from 10:30 to 11:30 AM, has combined office hours and academic advising from 12:30 to 1:30 PM, and teaches Computer Ethics and Documentation in Room 202 from 1:30 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 157, "language": "English", "was_translated": false }, { "text": "om 12:30 to 1:30 PM, and teaches Computer Ethics and Documentation in Room 202 from 1:30 to 2:30 PM. On Tuesdays, the same schedule repeats: Digital Image Processing Lab 202 from 9:30 to 10:30 AM, Lab 202 from 10:30 to 11:30 AM, office hours from 12:30 to 1:30 PM, and Computer Ethics and Documentation Room 202 from 1:30 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 158, "language": "English", "was_translated": false }, { "text": "ce hours from 12:30 to 1:30 PM, and Computer Ethics and Documentation Room 202 from 1:30 to 2:30 PM. On Thursdays, she teaches Digital Image Processing in Lab 202 across the morning slots from 9:30 to 11:30 AM. On Mondays, Professor Karajeh teaches Computer Basics in Lab 206 from 11:30 AM to 1:00 PM and Computer Basics in Lab 205 from 1:00 to 11:30 AM. Professor Professor Bassam Hassan Hammo (أ.د.", "source": "faculty_schedules.docx", "chunk_id": 159, "language": "English", "was_translated": false }, { "text": "and Computer Basics in Lab 205 from 1:00 to 11:30 AM. Professor Professor Bassam Hassan Hammo (أ.د. بسام حسن حمو) Schedule Department: Information Technology Department Second Semester 2025/2026 Email: b.hammo@ju.edu.jo Professor Bassam Hassan Hammo is a senior faculty member at the King Abdullah II Faculty of Information Technology, University of Jordan. His email is b.hammo@ju.edu.jo.", "source": "faculty_schedules.docx", "chunk_id": 160, "language": "English", "was_translated": false }, { "text": "Abdullah II Faculty of Information Technology, University of Jordan. His email is b.hammo@ju.edu.jo. The following describes his schedule for the Second Semester of the academic year 2025/2026.", "source": "faculty_schedules.docx", "chunk_id": 161, "language": "English", "was_translated": false }, { "text": "edu.jo. The following describes his schedule for the Second Semester of the academic year 2025/2026. His research interests include Natural Language Processing (NLP) for Arabic Language, covering areas such as Question Answering Systems, Text Summarization, Arabic Historical Corpora, Arabic Syntax Modeling, and Arabic Text Visualization.", "source": "faculty_schedules.docx", "chunk_id": 162, "language": "English", "was_translated": false }, { "text": "ext Summarization, Arabic Historical Corpora, Arabic Syntax Modeling, and Arabic Text Visualization. He is also interested in Enhancing Education Pedagogy using NLP and Enhancing Education through Technology. On Sundays, Professor Hammo teaches Human Computer Interaction in Room 202 from 10:30 to 11:30 AM and in Room 203 from 12:30 to 1:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 163, "language": "English", "was_translated": false }, { "text": "Human Computer Interaction in Room 202 from 10:30 to 11:30 AM and in Room 203 from 12:30 to 1:30 PM. He has office hours from 12:30 to 1:30 PM, and teaches Advanced Topics in Database Systems in Lab 206 from 1:30 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 164, "language": "English", "was_translated": false }, { "text": "m 12:30 to 1:30 PM, and teaches Advanced Topics in Database Systems in Lab 206 from 1:30 to 2:30 PM. On Tuesdays, the same schedule repeats: HCI Room 202 from 10:30 to 11:30 AM, HCI Room 203 from 12:30 to 1:30 PM, office hours from 12:30 to 1:30 PM, and Advanced Topics in Database Systems Lab 206 from 1:30 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 165, "language": "English", "was_translated": false }, { "text": "e hours from 12:30 to 1:30 PM, and Advanced Topics in Database Systems Lab 206 from 1:30 to 2:30 PM. On Thursdays, he teaches Human Computer Interaction in Room 202 from 10:30 to 11:30 AM and Advanced Topics in Database Systems in Lab 206 from 1:30 to 2:30 PM. On Mondays, he teaches Database Management Systems in Lab 203 from 1:00 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 166, "language": "English", "was_translated": false }, { "text": "1:30 to 2:30 PM. On Mondays, he teaches Database Management Systems in Lab 203 from 1:00 to 2:30 PM. On Wednesdays, he also teaches Database Management Systems in Lab 203 from 1:00 to 2:30 PM. Professor Professor Hamad Uqab Al Sawalqah (د. حمد عقاب السوالقة) Schedule Department: Information Technology Department Second Semester 2025/2026 Email: h.sawalqah@ju.edu.", "source": "faculty_schedules.docx", "chunk_id": 167, "language": "English", "was_translated": false }, { "text": "le Department: Information Technology Department Second Semester 2025/2026 Email: h.sawalqah@ju.edu.jo Professor Hamad Uqab Al Sawalqah is a faculty member at the King Abdullah II Faculty of Information Technology, University of Jordan. His email is h.sawalqah@ju.edu.jo. The following describes his schedule for the Second Semester of the academic year 2025/2026.", "source": "faculty_schedules.docx", "chunk_id": 168, "language": "English", "was_translated": false }, { "text": "edu.jo. The following describes his schedule for the Second Semester of the academic year 2025/2026. His research interests include Software Engineering and Data Mining.", "source": "faculty_schedules.docx", "chunk_id": 169, "language": "English", "was_translated": false }, { "text": "of the academic year 2025/2026. His research interests include Software Engineering and Data Mining. On Sundays, Professor Al Sawalqah teaches Software Engineering in Lab 204 from 9:30 to 10:30 AM, Systems Analysis and Design in Room 203 from 10:30 to 11:30 AM, has combined office hours and academic advising from 12:30 to 1:30 PM, and teaches Software Engineering in Lab 206 from 1:30 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 170, "language": "English", "was_translated": false }, { "text": "ic advising from 12:30 to 1:30 PM, and teaches Software Engineering in Lab 206 from 1:30 to 2:30 PM. On Tuesdays, the same schedule repeats: Software Engineering Lab 204 from 9:30 to 10:30 AM, Systems Analysis and Design Room 203 from 10:30 to 11:30 AM, office hours from 12:30 to 1:30 PM, and Software Engineering Lab 206 from 1:30 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 171, "language": "English", "was_translated": false }, { "text": "11:30 AM, office hours from 12:30 to 1:30 PM, and Software Engineering Lab 206 from 1:30 to 2:30 PM. On Thursdays, he also teaches Software Engineering Lab 204 from 9:30 to 10:30 AM, Systems Analysis and Design Room 203 from 10:30 to 11:30 AM, has office hours from 12:30 to 1:30 PM, and teaches Software Engineering Lab 206 from 1:30 to 2:30 PM.", "source": "faculty_schedules.docx", "chunk_id": 172, "language": "English", "was_translated": false }, { "text": "s office hours from 12:30 to 1:30 PM, and teaches Software Engineering Lab 206 from 1:30 to 2:30 PM. On Mondays, he has office hours and advising from 9:30 to 10:00 AM, teaches Software Engineering in Lab 207 from 10:00 to 11:30 AM, and teaches Software Engineering for PhD students in Room 001 from 4:00 to 7:00 PM.", "source": "faculty_schedules.docx", "chunk_id": 173, "language": "English", "was_translated": false }, { "text": ":00 to 11:30 AM, and teaches Software Engineering for PhD students in Room 001 from 4:00 to 7:00 PM. On Wednesdays, he has office hours and advising from 9:30 to 10:00 AM and teaches Software Engineering in Lab 207 from 10:00 to 11:30 AM.", "source": "faculty_schedules.docx", "chunk_id": 174, "language": "English", "was_translated": false }, { "text": "d advising from 9:30 to 10:00 AM and teaches Software Engineering in Lab 207 from 10:00 to 11:30 AM.", "source": "faculty_schedules.docx", "chunk_id": 175, "language": "English", "was_translated": false }, { "text": "University of Jordan King Abdullah II Faculty of Information Technology Artificial Intelligence Department & Information Technology Department Faculty Office Hours & Teaching Schedules Academic Year 2025/2026 Color Legend White / Light Blue = Teaching / Class Session Light Green = Office Hours Light Yellow = Research / Administrative Work Prof. Omar Al-Qadi (د.", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 1, "language": "English", "was_translated": false }, { "text": "sion Light Green = Office Hours Light Yellow = Research / Administrative Work Prof. Omar Al-Qadi (د. عمر القاضي) Department: Artificial Intelligence Department Semester: Second Semester 2025/2026 Courses Taught: Linear Algebra for Computer Science (Sections 1, 2, 3) Computer Vision Data Visualization Weekly Schedule: Prof. Rizq Al-Sayed (د.", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 2, "language": "English", "was_translated": false }, { "text": "ience (Sections 1, 2, 3) Computer Vision Data Visualization Weekly Schedule: Prof. Rizq Al-Sayed (د. رزق السيد) Department: Information Technology Department Semester: Second Semester 2025/2026 Courses Taught: Data Mining (Sections 2, 3) Non-Relational Databases (Section 1) Weekly Schedule: Prof. Ruba Ubaidat (د.", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 3, "language": "English", "was_translated": false }, { "text": "Mining (Sections 2, 3) Non-Relational Databases (Section 1) Weekly Schedule: Prof. Ruba Ubaidat (د. ربى عبيدات) Department: Artificial Intelligence Department Semester: First Semester 2025/2026 Courses Taught: AI Programming (Sections 1, 2) Weekly Schedule: Prof. Dima Mahmoud Suleiman (د.", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 4, "language": "English", "was_translated": false }, { "text": "2026 Courses Taught: AI Programming (Sections 1, 2) Weekly Schedule: Prof. Dima Mahmoud Suleiman (د. ديمة محمود سليمان) Department: Information Technology Department Semester: Second Semester 2025/2026 Courses Taught: Artificial Intelligence (Sections 3, 4) Social Media (Sections 8, 13) Digitalization Weekly Schedule: Prof. Hamed Saqr Al-Badour (أ.د.", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 5, "language": "English", "was_translated": false }, { "text": "3, 4) Social Media (Sections 8, 13) Digitalization Weekly Schedule: Prof. Hamed Saqr Al-Badour (أ.د. حامد صقر البدور) Department: Information Technology Department Semester: First Semester 2025/2026 Courses Taught: Operations Research (1904341) HTML (1904120) Sections 1, 2, 3 Computer Ethics (1904345) Weekly Schedule: Prof. Yazn Al-Shumaylah (د.", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 6, "language": "English", "was_translated": false }, { "text": "ML (1904120) Sections 1, 2, 3 Computer Ethics (1904345) Weekly Schedule: Prof. Yazn Al-Shumaylah (د. يزن الشمايلة) Department: Information Technology Department Semester: Second Semester 2025/2026 Courses Taught: Management Information Systems (Section 1) Fundamentals of IT (Section 3) Total Quality Management (Section 1) Weekly Schedule: Prof. Ali Al-Rawdhan (د.", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 7, "language": "English", "was_translated": false }, { "text": "als of IT (Section 3) Total Quality Management (Section 1) Weekly Schedule: Prof. Ali Al-Rawdhan (د. علي الروضان) Department: Artificial Intelligence Department Semester: Second Semester 2025/2026 Courses Taught: Machine Learning & Neural Networks (Sections 1, 2) Introduction to AI Data Science Basics Social Media Machine Learning (PhD) Weekly Schedule: Prof. Ahmad Al-Huwaytat (د.", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 8, "language": "English", "was_translated": false }, { "text": "Data Science Basics Social Media Machine Learning (PhD) Weekly Schedule: Prof. Ahmad Al-Huwaytat (د. احمد الحويطات) Department: Information Technology Department Semester: Second Semester 2025/2026 Courses Taught: Information Security & Privacy (Section 2) Ethical Hacking (Section 1) Digital Forensics (Sections 1, 2) Weekly Schedule: Prof. Bashar Al-Shboul (د.", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 9, "language": "English", "was_translated": false }, { "text": "al Hacking (Section 1) Digital Forensics (Sections 1, 2) Weekly Schedule: Prof. Bashar Al-Shboul (د.", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 10, "language": "English", "was_translated": false }, { "text": "بشار الشبول) Department: Information Technology Department Semester: Second Semester 2025/2026 Courses Taught: Statistical Packages (Section 1) Advanced Web Applications (Sections 1, 4) Document Analysis & Classification (Section 1) Electronic Commerce (Section 1) Decision Support Systems Public Sector (Section 1) Weekly Schedule: Prof. Yusuf Sinjlawi (د.", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 11, "language": "English", "was_translated": false }, { "text": "tion 1) Decision Support Systems Public Sector (Section 1) Weekly Schedule: Prof. Yusuf Sinjlawi (د. يوسف سنجلاوي) Department: Information Technology Department Semester: Second Semester 2025/2026 Courses Taught: Business Simulation (Section 1) Special Topics in Data Science (Section 1) Special Topics (Section 1) Weekly Schedule: Prof. Sharif Makhademah (د.", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 12, "language": "English", "was_translated": false }, { "text": "in Data Science (Section 1) Special Topics (Section 1) Weekly Schedule: Prof. Sharif Makhademah (د. شريف مخادمه) Department: Information Technology Department Semester: Second Semester 2025/2026 Courses Taught: Data Mining (Section 1) Mobile Programming (Section 1) Web Application Development (Section 12) Weekly Schedule: Instructor Yusuf Khalil Al-Majdalawi (م.", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 13, "language": "English", "was_translated": false }, { "text": ") Web Application Development (Section 12) Weekly Schedule: Instructor Yusuf Khalil Al-Majdalawi (م. يوسف خليل المجدلاوي) Department: Information Technology Department Semester: Second Semester 2025/2026 Email: ymajdal@ju.edu.jo Courses Taught: Modern Digital Skills (Multiple Sections) Object-Oriented Programming (Multiple Sections) Weekly Schedule: Instructor Rula Ismail Al-Khalid (م.", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 14, "language": "English", "was_translated": false }, { "text": "bject-Oriented Programming (Multiple Sections) Weekly Schedule: Instructor Rula Ismail Al-Khalid (م. رولا اسماعيل الخالد) Department: Information Technology Department Semester: Second Semester 2025/2026 Email: r.khalid@ju.edu.jo Courses Taught: Object-Oriented Programming Modern Digital Skills Computer Basics Weekly Schedule: Instructor Asil Muhammad Al-Anani (م.", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 15, "language": "English", "was_translated": false }, { "text": "ramming Modern Digital Skills Computer Basics Weekly Schedule: Instructor Asil Muhammad Al-Anani (م. أصيل محمد العناني) Department: Information Technology Department Semester: Second Semester 2025/2026 Email: a.anani@ju.edu.jo Courses Taught: Modern Digital Skills Object-Oriented Programming Computer Basics Weekly Schedule: Instructor Tahani Salah Al-Khatib (د/م.", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 16, "language": "English", "was_translated": false }, { "text": "Object-Oriented Programming Computer Basics Weekly Schedule: Instructor Tahani Salah Al-Khatib (د/م. تهاني صلاح الخطيب) Department: Information Technology Department Semester: Second Semester 2025/2026 Email: tahani.khatib@ju.edu.jo Courses Taught: Special Topics in Digital Skills Multimedia AI Ethics & Data Science (Online) Weekly Schedule: Instructor Lama Rajab Abd Al-Majid (م.", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 17, "language": "English", "was_translated": false }, { "text": "Multimedia AI Ethics & Data Science (Online) Weekly Schedule: Instructor Lama Rajab Abd Al-Majid (م. لمى رجب عبد المجيد) Department: Information Technology Department Semester: Second Semester 2025/2026 Email: lama.rajab@ju.edu.jo Courses Taught: Database Management Systems Modern Digital Skills Special Topics in Digital Skills Weekly Schedule: Instructor Tamara Yousef Al-Mara'beh (م.", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 18, "language": "English", "was_translated": false }, { "text": "al Skills Special Topics in Digital Skills Weekly Schedule: Instructor Tamara Yousef Al-Mara'beh (م. تمارا يوسف المراعبة) Department: Information Technology Department Semester: Second Semester 2025/2026 Email: t.almaraabeh@ju.edu.jo Courses Taught: Computer Basics (Multiple Sections) Modern Digital Skills Weekly Schedule: Instructor Hiba Ali Muhammad / Hiba Khadrawi (م.", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 19, "language": "English", "was_translated": false }, { "text": "le Sections) Modern Digital Skills Weekly Schedule: Instructor Hiba Ali Muhammad / Hiba Khadrawi (م. هبة علي محمد) Department: Information Technology Department Semester: Second Semester 2025/2026 Email: h.khadrawi@ju.edu.jo Courses Taught: Database Management Systems Modern Digital Skills Computer Basics Weekly Schedule: Prof. Rana Muhammad Yousef (أ.د.", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 20, "language": "English", "was_translated": false }, { "text": "ment Systems Modern Digital Skills Computer Basics Weekly Schedule: Prof. Rana Muhammad Yousef (أ.د. رنا محمد يوسف) Department: Information Technology Department Head of Computer Information Systems Semester: Second Semester 2025/2026 Email: Rana.Yousef@ju.edu.", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 21, "language": "English", "was_translated": false }, { "text": "Head of Computer Information Systems Semester: Second Semester 2025/2026 Email: Rana.Yousef@ju.edu.jo Courses Taught: Functional Preparation 3 (Skills) Project Management (Online) Special Topics in Digital Skills (Certificate Track) Weekly Schedule: Prof. Musa Tawfiq Al-Akhras (د. موسى توفيق الأخرس) Department: Information Technology Department Semester: Second Semester 2025/2026 Email: mousa.", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 22, "language": "English", "was_translated": false }, { "text": "خرس) Department: Information Technology Department Semester: Second Semester 2025/2026 Email: mousa.akhras@ju.edu.jo Courses Taught: Internet of Things / IoT AI & Expert Systems (Master's) Applied Data Science Research Methodology (Master's) Weekly Schedule: Prof. Abd Al-Basit Jamal Assaf (د.", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 23, "language": "English", "was_translated": false }, { "text": "ied Data Science Research Methodology (Master's) Weekly Schedule: Prof. Abd Al-Basit Jamal Assaf (د. عبد الباسط جمال عساف) Department: Information Technology Department Assistant Dean for Student Affairs Semester: Second Semester 2025/2026 Email: ab.assaf@ju.edu.jo Courses Taught: Object-Oriented Programming (Sections 1, 2) Modern Digital Skills Mobile Development Frameworks Weekly Schedule: Prof.", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 24, "language": "English", "was_translated": false }, { "text": "ogramming (Sections 1, 2) Modern Digital Skills Mobile Development Frameworks Weekly Schedule: Prof. Muhammad Abd Al-Rahman Abu Shariah (د. محمد عبد الرحمن أبو شريعة) Department: Information Technology Department Semester: Second Semester 2025/2026 Email: M.Abushariah@ju.edu.", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 25, "language": "Mixed", "was_translated": false }, { "text": "t: Information Technology Department Semester: Second Semester 2025/2026 Email: M.Abushariah@ju.edu.jo Courses Taught: Information Systems & Applications (Sections 1, 2) Software Engineering Multimedia (Master's) Natural Language Processing (PhD) Weekly Schedule: Prof. Thaer Mahmoud Hamtini (أ.د.", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 26, "language": "English", "was_translated": false }, { "text": "edia (Master's) Natural Language Processing (PhD) Weekly Schedule: Prof. Thaer Mahmoud Hamtini (أ.د. ثائر محمود حمتيني) Department: Information Technology Department Semester: Second Semester 2025/2026 Email: thamtini@ju.edu.jo Courses Taught: Database Management Systems (Multiple Sections) Computer Basics (Multiple Sections) E-Learning (Master's) Weekly Schedule: Prof. Amjad Ahmad Hudaib (أ.د.", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 27, "language": "English", "was_translated": false }, { "text": "ter Basics (Multiple Sections) E-Learning (Master's) Weekly Schedule: Prof. Amjad Ahmad Hudaib (أ.د. أمجد أحمد هديب) Department: Information Technology Department Semester: Second Semester 2025/2026 Email: ahudaib@ju.edu.jo Courses Taught: Software Engineering (Multiple Sections) Advanced Topics in Software Engineering Computer Basics Weekly Schedule: Prof. Huda Abd Al-Rahim Karajeh (د.", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 28, "language": "English", "was_translated": false }, { "text": "Topics in Software Engineering Computer Basics Weekly Schedule: Prof. Huda Abd Al-Rahim Karajeh (د. هدى عبد الرحيم كراجة) Department: Information Technology Department Semester: Second Semester 2025/2026 Email: h.karajeh@ju.edu.jo Courses Taught: Digital Image Processing Computer Ethics & Documentation Computer Basics Weekly Schedule: Prof. Bassam Hassan Hammo (أ.د.", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 29, "language": "English", "was_translated": false }, { "text": "ing Computer Ethics & Documentation Computer Basics Weekly Schedule: Prof. Bassam Hassan Hammo (أ.د. بسام حسن حمو) Department: Information Technology Department Semester: Second Semester 2025/2026 Email: b.hammo@ju.edu.jo Courses Taught: Human-Computer Interaction (Sections 1, 2) Advanced Topics in Database Systems Database Management Systems Weekly Schedule: Prof. Hamad Uqab Al-Sawalqah (د.", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 30, "language": "English", "was_translated": false }, { "text": "cs in Database Systems Database Management Systems Weekly Schedule: Prof. Hamad Uqab Al-Sawalqah (د. حمد عقاب السوالقة) Department: Information Technology Department Semester: Second Semester 2025/2026 Email: h.sawalqah@ju.edu.jo Courses Taught: Software Engineering (Multiple Sections) Systems Analysis & Design Software Engineering (PhD) Weekly Schedule:", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 31, "language": "English", "was_translated": false }, { "text": "ngineering (Multiple Sections) Systems Analysis & Design Software Engineering (PhD) Weekly Schedule:", "source": "faculty_schedules_UJ_2025_2026(0).docx", "chunk_id": 32, "language": "English", "was_translated": false }, { "text": "King Abdullah II School for Information Technology (KASIT) Knowledge Base A. Overview of KASIT King Abdullah II School for Information Technology, widely known as KASIT, is a specialized school within the University of Jordan (UJ) dedicated to information technology and computer science education.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 1, "language": "English", "was_translated": false }, { "text": "in the University of Jordan (UJ) dedicated to information technology and computer science education. KASIT was established in the year 2000 under the direct guidance and patronage of His Majesty King Abdullah II ibn Al-Hussein, with the explicit aim of developing the information technology sector in Jordan and across the wider Arab region.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 2, "language": "English", "was_translated": false }, { "text": "icit aim of developing the information technology sector in Jordan and across the wider Arab region. The school was inaugurated by His Majesty King Abdullah II alongside Her Majesty Queen Rania Al Abdullah, and its founding marked a defining moment in the development of higher IT education in Jordan. KASIT is located on the main campus of the University of Jordan in Jubaiha, north of Amman.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 3, "language": "English", "was_translated": false }, { "text": "Jordan. KASIT is located on the main campus of the University of Jordan in Jubaiha, north of Amman. In 2004, the school moved into a dedicated four-floor building that was equipped with up-to-date information technology facilities.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 4, "language": "English", "was_translated": false }, { "text": "a dedicated four-floor building that was equipped with up-to-date information technology facilities. The ground floor was designated for the Computer Science department, and the entire structure was designed to support the school's academic and research activities with modern laboratories and infrastructure.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 5, "language": "English", "was_translated": false }, { "text": "o support the school's academic and research activities with modern laboratories and infrastructure. The school operates under the broader framework of the University of Jordan, which is Jordan's first and largest public university, established in 1962 by Royal Decree.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 6, "language": "English", "was_translated": false }, { "text": "Jordan, which is Jordan's first and largest public university, established in 1962 by Royal Decree. The core mission of KASIT is to prepare specialized scientific cadres in the field of information technology to meet the needs of the local Jordanian, Arab, and global labor markets.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 7, "language": "English", "was_translated": false }, { "text": "of information technology to meet the needs of the local Jordanian, Arab, and global labor markets. The school achieves this by offering specialized academic programs, maintaining modern laboratories, and continuously aligning its curriculum with the latest developments in the world of information technology.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 8, "language": "English", "was_translated": false }, { "text": "nuously aligning its curriculum with the latest developments in the world of information technology. KASIT also emphasizes graduate follow-up to ensure that its alumni are succeeding in the workforce and that the school's programs remain relevant to employer needs. KASIT has adopted a sustainable development plan that ensures quality in both the academic and research processes.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 9, "language": "English", "was_translated": false }, { "text": "ted a sustainable development plan that ensures quality in both the academic and research processes. This plan prioritizes the development of students' skills in academic and research areas, stimulates faculty research output, and continuously improves staff capabilities.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 10, "language": "English", "was_translated": false }, { "text": "nd research areas, stimulates faculty research output, and continuously improves staff capabilities. The school also actively seeks cooperation with IT companies and institutions at the local and international level, creating pathways for students and faculty to engage with the broader technology industry beyond the university campus.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 11, "language": "English", "was_translated": false }, { "text": "or students and faculty to engage with the broader technology industry beyond the university campus. KASIT's contributions extend beyond its own building, as the school has played a significant role in developing systems, providing training, and advancing e-learning capabilities across the wider University of Jordan. B.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 12, "language": "English", "was_translated": false }, { "text": "providing training, and advancing e-learning capabilities across the wider University of Jordan. B. Departments The Department of Computer Science (CS) at KASIT is the founding and flagship department of the school.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 13, "language": "English", "was_translated": false }, { "text": "Department of Computer Science (CS) at KASIT is the founding and flagship department of the school. Originally established in 1985 as the sixth department in the former Faculty of Science at the University of Jordan, the CS Department was incorporated into the newly formed KASIT in 2001, becoming the first of KASIT's departments.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 14, "language": "English", "was_translated": false }, { "text": "ent was incorporated into the newly formed KASIT in 2001, becoming the first of KASIT's departments. The department strives to offer high-quality undergraduate and graduate programs in computer science, with an emphasis on rigorous theoretical foundations combined with practical, hands-on training.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 15, "language": "English", "was_translated": false }, { "text": "ce, with an emphasis on rigorous theoretical foundations combined with practical, hands-on training. The department places a high priority on quality research and effective teaching, with faculty members publishing regularly in internationally refereed and indexed journals. The Computer Science Department at KASIT offers Bachelor of Science (B.Sc.), Master of Science (M.Sc.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 16, "language": "English", "was_translated": false }, { "text": "he Computer Science Department at KASIT offers Bachelor of Science (B.Sc.), Master of Science (M.Sc.), and Doctor of Philosophy (PhD) degrees in Computer Science. The undergraduate curriculum has been revised multiple times to remain current, with major updates completed in 2000 2001, 2009, and most recently in 2014, with the updated curriculum taking effect from the academic year 2014 2015.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 17, "language": "English", "was_translated": false }, { "text": "d most recently in 2014, with the updated curriculum taking effect from the academic year 2014 2015. The vision of the CS Department is to be a transformative force in computer science education, empowering future leaders who harness technology to drive sustainable development and economic prosperity locally and globally.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 18, "language": "English", "was_translated": false }, { "text": "ho harness technology to drive sustainable development and economic prosperity locally and globally. Its mission is to foster diverse, creative, and innovative thinkers who become world-class computer experts capable of driving sustainable development through impactful problem-solving and technological leadership.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 19, "language": "English", "was_translated": false }, { "text": "e of driving sustainable development through impactful problem-solving and technological leadership. The Department of Computer Information Systems (CIS) at KASIT is one of the school's key academic units and serves as a bridge between computer science specializations and organizational and administrative fields.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 20, "language": "English", "was_translated": false }, { "text": "s as a bridge between computer science specializations and organizational and administrative fields. Students in CIS gain knowledge and practical skills in analyzing, designing, developing, and operating information systems for use in both public and private sector organizations.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 21, "language": "English", "was_translated": false }, { "text": "veloping, and operating information systems for use in both public and private sector organizations. The CIS Department offers a broad variety of courses ranging from general overviews of information systems to specialized programming tools, business applications, and cutting-edge development environments.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 22, "language": "English", "was_translated": false }, { "text": "to specialized programming tools, business applications, and cutting-edge development environments. The department's vision is to be a pioneering CIS program that contributes significantly to technological, economic, and social advancement, distinguished for its innovative approaches to learning, teaching, and scientific research.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 23, "language": "English", "was_translated": false }, { "text": "ncement, distinguished for its innovative approaches to learning, teaching, and scientific research. The Department of Business Information Technology (BIT) at KASIT was established in the academic year 2003 2004.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 24, "language": "English", "was_translated": false }, { "text": "nt of Business Information Technology (BIT) at KASIT was established in the academic year 2003 2004. The BIT Department was created specifically to prepare highly qualified graduates who are effective users and managers of information technology and systems within the context of modern, technology-enabled business firms.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 25, "language": "English", "was_translated": false }, { "text": "information technology and systems within the context of modern, technology-enabled business firms.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 26, "language": "English", "was_translated": false }, { "text": "The curriculum is designed to ensure that students develop strong knowledge of how computers are applied within organizations, gain training in designing and developing computing applications for Web publishing and e-business, and build the capability to use information technology creatively in decision-making and problem-solving activities.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 27, "language": "English", "was_translated": false }, { "text": "pability to use information technology creatively in decision-making and problem-solving activities. The BIT program is distinct in that it combines both technical IT knowledge and business management fundamentals, making its graduates well-suited for roles that sit at the intersection of technology and business strategy. C.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 28, "language": "English", "was_translated": false }, { "text": "graduates well-suited for roles that sit at the intersection of technology and business strategy. C. Academic Programs KASIT offers a range of undergraduate programs that serve students who have successfully met Jordan's national higher education admission requirements.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 29, "language": "English", "was_translated": false }, { "text": "serve students who have successfully met Jordan's national higher education admission requirements. Admission to all KASIT undergraduate programs requires a minimum score of 65% in the scientific branch of the Jordanian General High School Exam (known as Tawjihi), or an equivalent examination for students educated abroad.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 30, "language": "English", "was_translated": false }, { "text": "eral High School Exam (known as Tawjihi), or an equivalent examination for students educated abroad.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 31, "language": "English", "was_translated": false }, { "text": "Two admission tracks are available: the regular track, which is competitive and primarily for Jordanian students with high Tawjihi scores admitted through a central committee, and the parallel track, which also requires a minimum of 65% but allows students to apply directly to the university with somewhat higher associated fees.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 32, "language": "English", "was_translated": false }, { "text": "of 65% but allows students to apply directly to the university with somewhat higher associated fees. Students from both tracks attend the same classes, take the same examinations, and receive the same certifications upon graduation.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 33, "language": "English", "was_translated": false }, { "text": "d the same classes, take the same examinations, and receive the same certifications upon graduation.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 34, "language": "English", "was_translated": false }, { "text": "The Bachelor of Science in Computer Science at KASIT is a four-year undergraduate program that provides students with a strong foundation in core computer science principles, including algorithms, data structures, software engineering, programming languages, operating systems, and computer networks.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 35, "language": "English", "was_translated": false }, { "text": "a structures, software engineering, programming languages, operating systems, and computer networks. The program is designed to produce graduates who can adapt to the rapid evolution of technology and who possess the skills necessary to design and build systems that promote sustainability and resource efficiency.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 36, "language": "English", "was_translated": false }, { "text": "he skills necessary to design and build systems that promote sustainability and resource efficiency. Graduates are expected to demonstrate strong decision-making skills, transparency, and accountability in professional practice, and to be committed to lifelong learning in a field that evolves quickly.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 37, "language": "English", "was_translated": false }, { "text": "in professional practice, and to be committed to lifelong learning in a field that evolves quickly. The Bachelor of Science in Computer Information Systems at KASIT equips students with a thorough understanding of how to analyze, design, develop, and operate information systems within real organizational settings.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 38, "language": "English", "was_translated": false }, { "text": "ow to analyze, design, develop, and operate information systems within real organizational settings. The program combines courses in computer science fundamentals with those focused on organizational theory, database management, software development, and systems integration.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 39, "language": "English", "was_translated": false }, { "text": "ocused on organizational theory, database management, software development, and systems integration. A student graduating from the CIS program at KASIT and the University of Jordan gains practical skills that are directly applicable to roles in IT departments, system analysis, and technology management in both public institutions and private companies.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 40, "language": "English", "was_translated": false }, { "text": "ments, system analysis, and technology management in both public institutions and private companies. The Bachelor of Science in Business Information Technology at KASIT prepares students for careers at the boundary of information technology and business.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 41, "language": "English", "was_translated": false }, { "text": "ology at KASIT prepares students for careers at the boundary of information technology and business. The program ensures that graduates understand how computers and information systems function within organizational environments, and gives them the tools to design and develop computing applications for web-based business solutions and e-commerce.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 42, "language": "English", "was_translated": false }, { "text": "tools to design and develop computing applications for web-based business solutions and e-commerce. BIT graduates from KASIT at the University of Jordan are capable of leveraging IT knowledge to support business decision-making, manage digital transformation projects, and lead the adoption of new technologies in commercial settings.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 43, "language": "English", "was_translated": false }, { "text": "e digital transformation projects, and lead the adoption of new technologies in commercial settings. At the postgraduate level, KASIT's Computer Science Department offers Master of Science and PhD degrees in Computer Science. The M.Sc.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 44, "language": "English", "was_translated": false }, { "text": "Computer Science Department offers Master of Science and PhD degrees in Computer Science. The M.Sc. program provides advanced study in specialized areas of computer science and is intended for graduates who wish to deepen their technical expertise or pursue research.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 45, "language": "English", "was_translated": false }, { "text": "ience and is intended for graduates who wish to deepen their technical expertise or pursue research. The PhD program in Computer Science was established in response to the real and growing needs of the Jordanian and Arab job markets for highly qualified specialists and future faculty members.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 46, "language": "English", "was_translated": false }, { "text": "s of the Jordanian and Arab job markets for highly qualified specialists and future faculty members. One of the primary justifications for the PhD program is the historically limited availability of doctoral programs in computer science in Jordan and the Arab world.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 47, "language": "English", "was_translated": false }, { "text": "orically limited availability of doctoral programs in computer science in Jordan and the Arab world. KASIT was positioned to fill this gap because of its strong human resources, with faculty comprising full professors, associate professors, and assistant professors who have extensively supervised master's theses and published widely in prestigious international journals.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 48, "language": "English", "was_translated": false }, { "text": "e extensively supervised master's theses and published widely in prestigious international journals. The PhD program at KASIT benefits from the extensive supporting resources available at the University of Jordan, including well-equipped laboratories, licensed software, and subscriptions to major scientific journals in information technology.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 49, "language": "English", "was_translated": false }, { "text": "tories, licensed software, and subscriptions to major scientific journals in information technology. KASIT faculty members have demonstrated readiness to supervise doctoral research through their track record of supervising master's theses and producing internationally published peer-reviewed research.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 50, "language": "English", "was_translated": false }, { "text": "ecord of supervising master's theses and producing internationally published peer-reviewed research. The program is grounded in the belief that growing demand for highly specialized IT professionals, combined with the availability of both human expertise and physical infrastructure at KASIT, makes the University of Jordan a credible and capable host for doctoral education in computer science. D.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 51, "language": "English", "was_translated": false }, { "text": "the University of Jordan a credible and capable host for doctoral education in computer science. D. Faculty Facilities KASIT operates out of a four-floor building on the University of Jordan main campus in Amman. The building was purpose-built for the school and equipped with modern information technology infrastructure at the time of the school's relocation in 2004.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 52, "language": "English", "was_translated": false }, { "text": "ed with modern information technology infrastructure at the time of the school's relocation in 2004. The facility is designed to support both the teaching and research functions of the school, with dedicated spaces for different departments, lecture halls, computer laboratories, and administrative offices. The University of Jordan's main campus, spanning approximately 1,200 dunums (about 0.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 53, "language": "English", "was_translated": false }, { "text": "ative offices. The University of Jordan's main campus, spanning approximately 1,200 dunums (about 0.46 square miles), provides KASIT students and staff access to a wide range of shared university facilities including libraries, sports complexes, student clinics, cafeterias, and transportation services.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 54, "language": "English", "was_translated": false }, { "text": "ies including libraries, sports complexes, student clinics, cafeterias, and transportation services. KASIT maintains specialized computer laboratories that support both undergraduate and graduate instruction across its three departments.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 55, "language": "English", "was_translated": false }, { "text": "laboratories that support both undergraduate and graduate instruction across its three departments. These laboratories are equipped with up-to-date hardware and software, enabling students to work on real programming environments, information systems tools, database platforms, and web development technologies.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 56, "language": "English", "was_translated": false }, { "text": "mming environments, information systems tools, database platforms, and web development technologies. The school's commitment to continuously developing its laboratory infrastructure is a stated priority in KASIT's sustainable development plan.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 57, "language": "English", "was_translated": false }, { "text": "veloping its laboratory infrastructure is a stated priority in KASIT's sustainable development plan. Laboratory resources at KASIT also support the school's research activities, with access to scientific software and computing tools that faculty and graduate students use for research in areas such as artificial intelligence, machine learning, network security, and biomedical applications.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 58, "language": "English", "was_translated": false }, { "text": "as such as artificial intelligence, machine learning, network security, and biomedical applications. Beyond the standard computing labs, KASIT benefits from the University of Jordan's broader academic infrastructure, which includes a main library with access to international databases and scientific journals in computer science and information technology.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 59, "language": "English", "was_translated": false }, { "text": "s to international databases and scientific journals in computer science and information technology. This is particularly important for postgraduate students and faculty conducting research. The University of Jordan also supports subscriptions to refereed international journals that KASIT faculty and students use to access the latest research in their fields.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 60, "language": "English", "was_translated": false }, { "text": "national journals that KASIT faculty and students use to access the latest research in their fields. The school's e-learning office has further expanded the functional footprint of KASIT's teaching infrastructure by integrating digital platforms into the educational experience.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 61, "language": "English", "was_translated": false }, { "text": "of KASIT's teaching infrastructure by integrating digital platforms into the educational experience. KASIT has developed a growing relationship with international technology companies that has enhanced its facilities and training resources.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 62, "language": "English", "was_translated": false }, { "text": "hip with international technology companies that has enhanced its facilities and training resources. A notable example is the AWS Academy partnership, through which Amazon Web Services has opened registration for free specialized cloud computing courses available to KASIT and University of Jordan students who have completed at least 70 credit hours of their curriculum.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 63, "language": "English", "was_translated": false }, { "text": "T and University of Jordan students who have completed at least 70 credit hours of their curriculum. These courses include the AWS Academy Data Center Technician course, the AWS Academy Engineering Operations Technician course, and additional cloud-focused certifications, giving students access to industry-standard cloud training environments that supplement the school's physical lab resources. E.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 64, "language": "English", "was_translated": false }, { "text": "ndustry-standard cloud training environments that supplement the school's physical lab resources. E. Achievements One of the most significant international recognitions received by KASIT and the University of Jordan is the placement of the Computer Science and Information Systems disciplines in the top 100 of the QS World University Rankings by Subject in 2025.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 65, "language": "English", "was_translated": false }, { "text": "formation Systems disciplines in the top 100 of the QS World University Rankings by Subject in 2025. This ranking positions the University of Jordan's computer science programs among the most recognized in the world for that subject area, and it reflects the quality of both the academic programs offered at KASIT and the research output of its faculty.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 66, "language": "English", "was_translated": false }, { "text": "s the quality of both the academic programs offered at KASIT and the research output of its faculty. The QS Subject Rankings are among the most closely watched global benchmarks in higher education, and being ranked in the top 100 globally in Computer Science and Information Systems is a landmark achievement for a public university in Jordan.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 67, "language": "English", "was_translated": false }, { "text": "omputer Science and Information Systems is a landmark achievement for a public university in Jordan. KASIT has also secured the Jordanian Quality Assurance Certificate, which is a formal accreditation that confirms the school's academic programs meet the quality standards required by Jordanian higher education authorities.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 68, "language": "English", "was_translated": false }, { "text": "l's academic programs meet the quality standards required by Jordanian higher education authorities. This certification is important because it provides external validation of KASIT's educational processes, program design, and student outcomes.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 69, "language": "English", "was_translated": false }, { "text": "provides external validation of KASIT's educational processes, program design, and student outcomes. Achieving this certificate signals to students, employers, and academic partners that KASIT programs are held to a defined and monitored standard of academic quality within Jordan.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 70, "language": "English", "was_translated": false }, { "text": "that KASIT programs are held to a defined and monitored standard of academic quality within Jordan. In competitive programming, KASIT and the University of Jordan have a strong record of success in the Jordanian Collegiate Programming Contest (JCPC). The University of Jordan has won five out of ten first-place positions in the JCPC, with a team from KASIT taking the top prize.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 71, "language": "English", "was_translated": false }, { "text": "won five out of ten first-place positions in the JCPC, with a team from KASIT taking the top prize. The JCPC is the primary programming competition for university students in Jordan, and KASIT's consistent performance in this contest reflects the depth of algorithmic and programming education provided by the Computer Science Department.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 72, "language": "English", "was_translated": false }, { "text": "ects the depth of algorithmic and programming education provided by the Computer Science Department. Success in programming competitions of this kind is also an indicator of the practical problem-solving abilities instilled in KASIT students throughout their undergraduate training.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 73, "language": "English", "was_translated": false }, { "text": "tical problem-solving abilities instilled in KASIT students throughout their undergraduate training. KASIT students achieved victory at the Arab Olympiad for Artificial Intelligence in 2025, a competition that brings together top university students from across the Arab world to compete in AI-related challenges.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 74, "language": "English", "was_translated": false }, { "text": "ngs together top university students from across the Arab world to compete in AI-related challenges. This achievement highlights the growing strength of KASIT's artificial intelligence curriculum and the ability of its students to perform at a regional competitive level in one of the most technically demanding areas of modern computer science.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 75, "language": "English", "was_translated": false }, { "text": "egional competitive level in one of the most technically demanding areas of modern computer science. It also reflects KASIT's focus on integrating contemporary AI topics into its academic programs and research priorities.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 76, "language": "English", "was_translated": false }, { "text": "IT's focus on integrating contemporary AI topics into its academic programs and research priorities. KASIT students also achieved strong results at the GJU 3030 Competitions hosted by the German Jordanian University, and a KASIT team won the Best Software Program Award at the Philadelphia University Competition for Creativity and Innovation in 2025.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 77, "language": "English", "was_translated": false }, { "text": "ware Program Award at the Philadelphia University Competition for Creativity and Innovation in 2025. These achievements demonstrate that KASIT students are active participants in Jordan's wider university competition ecosystem and are capable of producing high-quality software projects that are recognized by peer institutions.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 78, "language": "English", "was_translated": false }, { "text": "nd are capable of producing high-quality software projects that are recognized by peer institutions. Participation in such competitions is also a channel through which KASIT students build experience in software development, teamwork, and project presentation that complements their formal academic training.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 79, "language": "English", "was_translated": false }, { "text": "are development, teamwork, and project presentation that complements their formal academic training. KASIT organized and hosted the Cybersecurity and Cyberforensics Conference, a significant academic event that was inaugurated by the President of the University of Jordan.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 80, "language": "English", "was_translated": false }, { "text": "nce, a significant academic event that was inaugurated by the President of the University of Jordan. The conference was chaired by the Dean of KASIT and brought together nearly 200 participants from countries including the United Kingdom, Australia, Algeria, Saudi Arabia, the United States, the United Arab Emirates, and Jordan.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 81, "language": "English", "was_translated": false }, { "text": "Kingdom, Australia, Algeria, Saudi Arabia, the United States, the United Arab Emirates, and Jordan. The event addressed cross-cutting themes in cybersecurity and cyber forensics, including policy development, private sector and academic collaboration, training and capacity development, and research and development.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 82, "language": "English", "was_translated": false }, { "text": "sector and academic collaboration, training and capacity development, and research and development. The conference was organized with the support of multiple sponsors and represented a demonstration of KASIT's capability to convene international academic discourse in the field of information security.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 83, "language": "English", "was_translated": false }, { "text": "KASIT's capability to convene international academic discourse in the field of information security. The University of Jordan, which provides the institutional context for KASIT's programs, is ranked among the top 350 universities globally in the QS World University Rankings 2026.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 84, "language": "English", "was_translated": false }, { "text": "rograms, is ranked among the top 350 universities globally in the QS World University Rankings 2026. The university also ranks 197th worldwide for employment reputation according to the QS World University Rankings 2025, meaning that employers globally recognize and value degrees from the University of Jordan.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 85, "language": "English", "was_translated": false }, { "text": "ngs 2025, meaning that employers globally recognize and value degrees from the University of Jordan. In the Shanghai Academic Ranking of World Universities (ARWU) the University of Jordan is placed in the 801 900 band.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 86, "language": "English", "was_translated": false }, { "text": "cademic Ranking of World Universities (ARWU) the University of Jordan is placed in the 801 900 band. These broader university rankings provide important context for the value of a degree from KASIT, as the school's academic programs are accredited within an internationally recognized and ranked institution. F.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 87, "language": "English", "was_translated": false }, { "text": "l's academic programs are accredited within an internationally recognized and ranked institution. F. E-Learning Office KASIT has an active E-Learning Office that plays a central role in the school's commitment to modern, technology-enhanced education. The development of e-learning systems and platforms is explicitly listed as one of KASIT's strategic priorities in its sustainable development plan.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 88, "language": "English", "was_translated": false }, { "text": "rms is explicitly listed as one of KASIT's strategic priorities in its sustainable development plan. The E-Learning Office supports faculty members in digitizing educational materials, building online course content, and integrating interactive digital tools into the teaching process.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 89, "language": "English", "was_translated": false }, { "text": "building online course content, and integrating interactive digital tools into the teaching process. It serves as the operational unit responsible for ensuring that KASIT's technology-enhanced learning environment meets the needs of both students and instructors.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 90, "language": "English", "was_translated": false }, { "text": "t KASIT's technology-enhanced learning environment meets the needs of both students and instructors. The E-Learning Office at KASIT supports blended learning approaches, which combine traditional in-person instruction with digital content delivery.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 91, "language": "English", "was_translated": false }, { "text": "learning approaches, which combine traditional in-person instruction with digital content delivery. This model allows students to access lecture materials, assignments, and supplementary resources through online platforms, giving them greater flexibility in managing their study schedules.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 92, "language": "English", "was_translated": false }, { "text": "sources through online platforms, giving them greater flexibility in managing their study schedules.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 93, "language": "English", "was_translated": false }, { "text": "The integration of e-learning into KASIT's curriculum is part of a broader University of Jordan initiative that includes digitizing educational materials, creating interactive lectures, converting classrooms into smart learning spaces, and incorporating modern instructional methods that reflect current trends in higher education globally.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 94, "language": "English", "was_translated": false }, { "text": "incorporating modern instructional methods that reflect current trends in higher education globally. KASIT's E-Learning Office also contributes to services that benefit other schools and departments across the University of Jordan, particularly in areas related to system development, training delivery, and technology-enabled academic support.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 95, "language": "English", "was_translated": false }, { "text": "in areas related to system development, training delivery, and technology-enabled academic support. This cross-university contribution is consistent with the broader role that KASIT plays in advancing the digital capabilities of the University of Jordan as an institution.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 96, "language": "English", "was_translated": false }, { "text": "hat KASIT plays in advancing the digital capabilities of the University of Jordan as an institution. The office's work ensures that students at KASIT have access to e-learning resources that are functional, regularly updated, and aligned with the academic requirements of their programs. G.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 97, "language": "English", "was_translated": false }, { "text": "are functional, regularly updated, and aligned with the academic requirements of their programs. G. Student and Academic Life Students at KASIT benefit from access to the full range of facilities and services offered by the University of Jordan's main campus in Amman.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 98, "language": "English", "was_translated": false }, { "text": "he full range of facilities and services offered by the University of Jordan's main campus in Amman. The campus includes a student clinic that provides health services such as X-rays, laboratory tests, and a pharmacy, with referrals to the University of Jordan Hospital for cases requiring further follow-up.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 99, "language": "English", "was_translated": false }, { "text": "pharmacy, with referrals to the University of Jordan Hospital for cases requiring further follow-up. A student transportation service, food services, a central library, and a sports complex are also available to KASIT students as part of the university's broader campus infrastructure.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 100, "language": "English", "was_translated": false }, { "text": "plex are also available to KASIT students as part of the university's broader campus infrastructure. The University of Jordan also hosts students from over 130 countries, providing an internationally diverse campus environment that enriches the academic and social experience for KASIT students.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 101, "language": "English", "was_translated": false }, { "text": "ally diverse campus environment that enriches the academic and social experience for KASIT students. KASIT students are encouraged to participate in national and regional programming competitions, including the Jordanian Collegiate Programming Contest (JCPC) and the Arab Olympiad for Artificial Intelligence, where they have achieved notable results in recent years.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 102, "language": "English", "was_translated": false }, { "text": "Arab Olympiad for Artificial Intelligence, where they have achieved notable results in recent years. Participation in such competitions is a recognized pathway for students to develop advanced technical skills, build professional networks, and gain recognition beyond the classroom.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 103, "language": "English", "was_translated": false }, { "text": "p advanced technical skills, build professional networks, and gain recognition beyond the classroom. The school's support for competitive programming reflects its emphasis on practical problem-solving and its commitment to preparing students for high-performance roles in the technology industry.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 104, "language": "English", "was_translated": false }, { "text": "ving and its commitment to preparing students for high-performance roles in the technology industry. Through the AWS Academy partnership, KASIT students who have completed at least 70 credit hours of their degree program have the opportunity to enroll in free cloud computing courses offered by Amazon Web Services.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 105, "language": "English", "was_translated": false }, { "text": "ogram have the opportunity to enroll in free cloud computing courses offered by Amazon Web Services. These courses, which include the AWS Academy Data Center Technician and AWS Academy Engineering Operations Technician programs, provide students with practical exposure to cloud infrastructure, networking, and security topics that are directly relevant to the modern IT job market.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 106, "language": "English", "was_translated": false }, { "text": "rastructure, networking, and security topics that are directly relevant to the modern IT job market. This type of industry partnership enhances the educational experience of KASIT students by giving them access to globally recognized training resources alongside their formal academic coursework.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 107, "language": "English", "was_translated": false }, { "text": "ng them access to globally recognized training resources alongside their formal academic coursework. Admission to KASIT undergraduate programs follows a competitive process governed by Jordan's Ministry of Higher Education regulations.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 108, "language": "English", "was_translated": false }, { "text": "rograms follows a competitive process governed by Jordan's Ministry of Higher Education regulations. Students must achieve a minimum score of 65% in the scientific branch of the Tawjihi national examination, or an equivalent qualification for internationally educated applicants.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 109, "language": "English", "was_translated": false }, { "text": "awjihi national examination, or an equivalent qualification for internationally educated applicants. Selection is competitive and based on Tawjihi scores, with students admitted either through the regular track via Jordan's central admissions committee or through the parallel track with direct university application.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 110, "language": "English", "was_translated": false }, { "text": "dan's central admissions committee or through the parallel track with direct university application. Both tracks lead to the same academic programs, with the same faculty, examinations, and degree certifications, ensuring that all KASIT students receive a consistent standard of education regardless of their admission pathway. H.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 111, "language": "English", "was_translated": false }, { "text": "KASIT students receive a consistent standard of education regardless of their admission pathway. H. Additional Information KASIT's research priorities are developed in cooperation with the Deanship of Scientific Research at the University of Jordan and are explicitly aligned with the United Nations Sustainable Development Goals (SDGs).", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 112, "language": "English", "was_translated": false }, { "text": "y of Jordan and are explicitly aligned with the United Nations Sustainable Development Goals (SDGs).", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 113, "language": "English", "was_translated": false }, { "text": "Key research areas identified by KASIT include Internet of Things (IoT) technology, Augmented Reality and Virtual Reality (AR/VR), interactive learning platforms, social media for teaching and learning, network security, cloud security, application security, the use of ICT in smart health and biomedical applications, and Artificial Intelligence and Intelligent Systems.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 114, "language": "English", "was_translated": false }, { "text": "CT in smart health and biomedical applications, and Artificial Intelligence and Intelligent Systems. This structured approach to defining research priorities ensures that KASIT's academic output is both globally relevant and connected to real-world challenges. Cybersecurity is one of the prominent research and teaching themes at KASIT.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 115, "language": "English", "was_translated": false }, { "text": "real-world challenges. Cybersecurity is one of the prominent research and teaching themes at KASIT. The school's research priorities explicitly include network security, cloud security focused on platforms such as Google Cloud and Microsoft Azure, and application security encompassing encryption and security testing.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 116, "language": "English", "was_translated": false }, { "text": "le Cloud and Microsoft Azure, and application security encompassing encryption and security testing. The hosting of the international Cybersecurity and Cyberforensics Conference by KASIT is a direct expression of this focus, and it demonstrates the school's position as a credible academic voice in the regional cybersecurity conversation.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 117, "language": "English", "was_translated": false }, { "text": "rates the school's position as a credible academic voice in the regional cybersecurity conversation. KASIT's work in this area connects with the broader field of national and regional cyber defense, an area of increasing strategic importance in Jordan and across the Arab world.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 118, "language": "English", "was_translated": false }, { "text": "ional cyber defense, an area of increasing strategic importance in Jordan and across the Arab world. Artificial Intelligence and Intelligent Systems represent a growing focus area within KASIT's research and academic programs. KASIT's research priorities include the development of AI technologies and their application in areas such as big data analysis and machine learning.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 119, "language": "English", "was_translated": false }, { "text": "nt of AI technologies and their application in areas such as big data analysis and machine learning. The victory of KASIT students at the Arab Olympiad for Artificial Intelligence in 2025 is a concrete indicator that the school's investment in AI-related education is producing results that are competitive at the regional level.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 120, "language": "English", "was_translated": false }, { "text": "investment in AI-related education is producing results that are competitive at the regional level. As AI continues to reshape industry and society globally, KASIT's emphasis on this area positions its graduates for roles in one of the most in-demand segments of the technology labor market.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 121, "language": "English", "was_translated": false }, { "text": "itions its graduates for roles in one of the most in-demand segments of the technology labor market. The organizational structure of KASIT is guided by a Dean who leads the school's academic and administrative functions.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 122, "language": "English", "was_translated": false }, { "text": "structure of KASIT is guided by a Dean who leads the school's academic and administrative functions. The school's leadership is responsible for implementing the sustainable development plan, maintaining academic quality, managing relationships with industry and international partners, and overseeing the development of programs and facilities.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 123, "language": "English", "was_translated": false }, { "text": "with industry and international partners, and overseeing the development of programs and facilities. KASIT's administration reports within the governance framework of the University of Jordan, which is itself overseen by a Board of Trustees and subject to Jordanian Ministry of Higher Education regulations.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 124, "language": "English", "was_translated": false }, { "text": "f overseen by a Board of Trustees and subject to Jordanian Ministry of Higher Education regulations. This institutional structure ensures that KASIT operates within a framework of accountability and quality assurance at both the school and university level.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 125, "language": "English", "was_translated": false }, { "text": "within a framework of accountability and quality assurance at both the school and university level. KASIT has a documented commitment to developing its programs in response to labor market needs and to following up with its graduates after they enter the workforce.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 126, "language": "English", "was_translated": false }, { "text": "esponse to labor market needs and to following up with its graduates after they enter the workforce. This approach reflects the school's understanding that a university program in information technology must remain practically relevant in order to serve its students well.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 127, "language": "English", "was_translated": false }, { "text": "gram in information technology must remain practically relevant in order to serve its students well.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 128, "language": "English", "was_translated": false }, { "text": "The school's partnerships with technology companies, its participation in AWS Academy, its hosting of international academic conferences, and its engagement with national competitions such as the JCPC all reflect an institutional culture that values real-world connection and professional preparation alongside academic rigor.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 129, "language": "English", "was_translated": false }, { "text": "nal culture that values real-world connection and professional preparation alongside academic rigor. KASIT continues to position itself as one of the leading information technology schools in Jordan and the Arab region. I. Academic Staff KASIT at the University of Jordan is staffed by a substantial body of qualified academic faculty distributed across its departments.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 130, "language": "English", "was_translated": false }, { "text": "n is staffed by a substantial body of qualified academic faculty distributed across its departments. According to documented program information, KASIT has a faculty that includes full professors, associate professors, and assistant professors, providing the human expertise needed to deliver undergraduate, master's, and doctoral programs.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 131, "language": "English", "was_translated": false }, { "text": "ors, providing the human expertise needed to deliver undergraduate, master's, and doctoral programs. Faculty members at KASIT hold advanced degrees from universities in Jordan, the United Kingdom, the United States, Italy, Sweden, and other countries, reflecting the international academic background that informs both teaching and research at the school.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 132, "language": "English", "was_translated": false }, { "text": "lecting the international academic background that informs both teaching and research at the school. All KASIT faculty members are reachable through the University of Jordan's academic staff directory at computer.ju.edu.jo. Prof. Azzam Sleit is a Professor of Computer Science at KASIT and has served as Dean of the school.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 133, "language": "English", "was_translated": false }, { "text": "Prof. Azzam Sleit is a Professor of Computer Science at KASIT and has served as Dean of the school. He has held a verified academic email at the University of Jordan and is recognized as a senior academic figure within KASIT. In his capacity as Dean, Prof.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 134, "language": "English", "was_translated": false }, { "text": "of Jordan and is recognized as a senior academic figure within KASIT. In his capacity as Dean, Prof. Sleit chaired the preparatory committee for the international Cybersecurity and Cyberforensics Conference organized by KASIT, where he called for cross-sector collaboration between academia, government, and the private sector in areas of cybersecurity research and policy.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 135, "language": "English", "was_translated": false }, { "text": "between academia, government, and the private sector in areas of cybersecurity research and policy. His academic work is in computer science, and he is affiliated with the Department of Computer Science at KASIT. Prof. Fawaz Al-Zaghoul is a Full Professor of Software Engineering in the Department of Computer Information Systems at KASIT, University of Jordan.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 136, "language": "English", "was_translated": false }, { "text": "ftware Engineering in the Department of Computer Information Systems at KASIT, University of Jordan. He is a senior member of both IEEE and the ACM, and has published over 80 research papers in international refereed journals and conferences.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 137, "language": "English", "was_translated": false }, { "text": "e ACM, and has published over 80 research papers in international refereed journals and conferences.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 138, "language": "English", "was_translated": false }, { "text": "His research covers Software Systems Development Methodologies, Software Engineering, Algorithms Reengineering, Computer Networks, Software Systems Retrieval, Computer Arabization, Quality Metrics and Quality Control, Database Applications, Applications of Artificial Intelligence, Computer Education, and Distance Learning. Prof.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 139, "language": "English", "was_translated": false }, { "text": "lications, Applications of Artificial Intelligence, Computer Education, and Distance Learning. Prof. Al-Zaghoul obtained his professorship rank on July 14, 2008, and his contact at the University of Jordan can be reached at fawaz@ju.edu.jo. Prof. Ibrahim Aljarah is a Professor of Big Data and Computational Intelligence in the Department of Artificial Intelligence at KASIT, University of Jordan.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 140, "language": "English", "was_translated": false }, { "text": "putational Intelligence in the Department of Artificial Intelligence at KASIT, University of Jordan. His research focuses on big data analytics, swarm intelligence, metaheuristic optimization, machine learning, and deep learning. Prof.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 141, "language": "English", "was_translated": false }, { "text": "nalytics, swarm intelligence, metaheuristic optimization, machine learning, and deep learning. Prof. Aljarah is an active researcher with a widely cited body of published work and is recognized within the academic community for his contributions to computational intelligence and intelligent optimization methods.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 142, "language": "English", "was_translated": false }, { "text": "community for his contributions to computational intelligence and intelligent optimization methods. He is affiliated with the University of Jordan and can be contacted at his institutional email address at ju.edu.jo. Prof. Omar Sultan Al-Kadi is a Professor of Computational Vision and Machine Intelligence at KASIT, University of Jordan.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 143, "language": "English", "was_translated": false }, { "text": "Kadi is a Professor of Computational Vision and Machine Intelligence at KASIT, University of Jordan. He was awarded a Fulbright Distinguished Scholar fellowship and conducted research as a visiting professor at Yale University's Radiology and Bioimaging Department. He has also held a visiting position at the Swiss Federal Institute of Technology Lausanne (EPFL). Prof.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 144, "language": "English", "was_translated": false }, { "text": "as also held a visiting position at the Swiss Federal Institute of Technology Lausanne (EPFL). Prof. Al-Kadi's research covers texture analysis, pattern recognition, computer vision, machine intelligence, and AI applications in medicine.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 145, "language": "English", "was_translated": false }, { "text": "alysis, pattern recognition, computer vision, machine intelligence, and AI applications in medicine. He teaches courses including Information Resource Management and Web Publishing at the KASIT building, and his office is located on the third floor of the KASIT building at the University of Jordan. Prof. Basel A.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 146, "language": "English", "was_translated": false }, { "text": "fice is located on the third floor of the KASIT building at the University of Jordan. Prof. Basel A. Mahafzah is a Full Professor of Computer Science at the University of Jordan, with research interests in Computational Intelligence, Parallel and Distributed Computing, and High-Performance Computing.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 147, "language": "English", "was_translated": false }, { "text": "s in Computational Intelligence, Parallel and Distributed Computing, and High-Performance Computing. He has accumulated a widely cited publication record in these areas and is an established member of the KASIT academic community.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 148, "language": "English", "was_translated": false }, { "text": "ited publication record in these areas and is an established member of the KASIT academic community. His work in parallel and distributed computing is relevant to the school's broader research agenda in advanced computing systems and infrastructure, and he collaborates with researchers within Jordan and internationally. Prof.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 149, "language": "English", "was_translated": false }, { "text": "ms and infrastructure, and he collaborates with researchers within Jordan and internationally. Prof. Amjad Hudaib is a Professor of Software Engineering in the Department of Computer Information Systems at KASIT, University of Jordan. He holds a B.Sc. in Computer Science from Mutah University, an M.Sc. in Computer Science from the University of Jordan, and a Ph.D.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 150, "language": "English", "was_translated": false }, { "text": "ience from Mutah University, an M.Sc. in Computer Science from the University of Jordan, and a Ph.D. in Computer Science with a specialization in Software Engineering from the University of Pisa, Italy.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 151, "language": "English", "was_translated": false }, { "text": "n Computer Science with a specialization in Software Engineering from the University of Pisa, Italy. His research interests include Software Engineering, Pattern Matching, Software Architectural Design, Systems Engineering, Requirements Engineering, Software Testing and Evaluation, Image Processing, Data Mining, and Quality Assurance. Prof.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 152, "language": "English", "was_translated": false }, { "text": "eering, Software Testing and Evaluation, Image Processing, Data Mining, and Quality Assurance. Prof. Hudaib has been a faculty member at the University of Jordan since 2016. Prof. Ahmad Sharieh is a Professor of Computer Science at the University of Jordan and a member of the KASIT academic staff.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 153, "language": "English", "was_translated": false }, { "text": "Professor of Computer Science at the University of Jordan and a member of the KASIT academic staff. He is recognized in the academic community for his work in computer science and is affiliated with colleagues across KASIT's departments.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 154, "language": "English", "was_translated": false }, { "text": "unity for his work in computer science and is affiliated with colleagues across KASIT's departments. His presence on the faculty reflects the depth of senior academic expertise available to students in KASIT's undergraduate and graduate programs, particularly within the Computer Science department. Dr.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 155, "language": "English", "was_translated": false }, { "text": "ASIT's undergraduate and graduate programs, particularly within the Computer Science department. Dr. Ja'far Alqatawna is an Associate Professor and Head of Department at KASIT, University of Jordan, where he also serves as Postgraduate Program Coordinator. He holds a B.Eng. in Computer Engineering from Mu'tah University, an M.Sc.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 156, "language": "English", "was_translated": false }, { "text": "uate Program Coordinator. He holds a B.Eng. in Computer Engineering from Mu'tah University, an M.Sc. in Information and Communication Systems Security from the Royal Institute of Technology (KTH) in Sweden, and a Ph.D. in Computer Information Systems with a specialization in Information Security and e-Business from Sheffield Hallam University in the United Kingdom, which he received in 2010.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 157, "language": "English", "was_translated": false }, { "text": "ty and e-Business from Sheffield Hallam University in the United Kingdom, which he received in 2010. His research focuses on cybersecurity, information security, access control models, risk-adaptive security, and e-business. Dr. Alqatawna served as Technical Chairman of the Cybersecurity and Cyberforensics Conference organized by KASIT. Prof. Rizik M. H.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 158, "language": "English", "was_translated": false }, { "text": "al Chairman of the Cybersecurity and Cyberforensics Conference organized by KASIT. Prof. Rizik M. H. Al-Sayyed is a Professor of Computer Science in the Information Technology Department at KASIT, University of Jordan. His research interests span computer science and information technology, and he is an active participant in the academic network of KASIT-affiliated researchers.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 159, "language": "English", "was_translated": false }, { "text": "technology, and he is an active participant in the academic network of KASIT-affiliated researchers. He has a verified institutional email at ju.edu.jo and is part of the senior faculty cohort that supports both teaching and research supervision within KASIT's postgraduate programs. Dr.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 160, "language": "English", "was_translated": false }, { "text": "ohort that supports both teaching and research supervision within KASIT's postgraduate programs. Dr. Majdi Sawalha is an Associate Professor in the Department of Artificial Intelligence at KASIT, University of Jordan. His research focuses on Computational Linguistics, Arabic Language Engineering, Arabic Morphology, Syntax, Prosody, and Corpus Linguistics. Dr.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 161, "language": "English", "was_translated": false }, { "text": "istics, Arabic Language Engineering, Arabic Morphology, Syntax, Prosody, and Corpus Linguistics. Dr. Sawalha's work is particularly relevant to Natural Language Processing for the Arabic language, which is an area of growing academic and commercial importance in the Arab world.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 162, "language": "English", "was_translated": false }, { "text": "e Arabic language, which is an area of growing academic and commercial importance in the Arab world. His departmental affiliation with the newly established Artificial Intelligence department at KASIT reflects the school's evolving academic structure in response to the growing importance of AI as a distinct field of study. Dr. Sherenaz W.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 163, "language": "English", "was_translated": false }, { "text": "structure in response to the growing importance of AI as a distinct field of study. Dr. Sherenaz W. Al-Haj Baddar is an Associate Professor in the Department of Computer Science at KASIT, University of Jordan. Her research covers Parallel Processing, Anomaly Detection in Computer Networks, IoT security, botnet detection, and network forensics.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 164, "language": "English", "was_translated": false }, { "text": "sing, Anomaly Detection in Computer Networks, IoT security, botnet detection, and network forensics. She has published in IEEE Transactions on Pattern Analysis and Machine Intelligence and other international journals.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 165, "language": "English", "was_translated": false }, { "text": "in IEEE Transactions on Pattern Analysis and Machine Intelligence and other international journals. Her work on IoT botnet detection and network security aligns directly with KASIT's stated research priorities in cybersecurity and IoT technology, and she represents the school's commitment to research in both applied and theoretical dimensions of computer network security. Dr.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 166, "language": "English", "was_translated": false }, { "text": "commitment to research in both applied and theoretical dimensions of computer network security. Dr. Mohammad Aref Alshraideh is affiliated with the Artificial Intelligence Department at KASIT, University of Jordan, where his research encompasses Software Testing, Computational Intelligence, and Digital Humanities.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 167, "language": "English", "was_translated": false }, { "text": "where his research encompasses Software Testing, Computational Intelligence, and Digital Humanities. His work intersects software engineering and AI-driven methods for testing and quality assurance, which is directly relevant to KASIT's programs in Computer Science and Information Systems.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 168, "language": "English", "was_translated": false }, { "text": "surance, which is directly relevant to KASIT's programs in Computer Science and Information Systems. His departmental affiliation confirms that KASIT now houses an Artificial Intelligence department in addition to its founding departments, reflecting the school's expansion in response to growing demand for AI-specific academic programs. Dr.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 169, "language": "English", "was_translated": false }, { "text": "flecting the school's expansion in response to growing demand for AI-specific academic programs. Dr. Ali Rodan is an Associate Professor of Artificial Intelligence at the University of Jordan and a member of KASIT's academic staff, affiliated with the Department of Business Information Technology.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 170, "language": "English", "was_translated": false }, { "text": "member of KASIT's academic staff, affiliated with the Department of Business Information Technology. He holds an international academic designation as a Fellow of the Higher Education Academy (FHEA) and a Senior Member of IEEE. Dr.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 171, "language": "English", "was_translated": false }, { "text": "emic designation as a Fellow of the Higher Education Academy (FHEA) and a Senior Member of IEEE. Dr. Rodan's teaching covers Data Mining, Database Systems, Business Intelligence and Big Data, Expert Systems with Neural Networks and Deep Learning, Machine Learning, and Artificial Intelligence at undergraduate, master's, and PhD levels.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 172, "language": "English", "was_translated": false }, { "text": "Learning, Machine Learning, and Artificial Intelligence at undergraduate, master's, and PhD levels. He has served as Chair of the E-Learning Committee at KASIT and has been a member of the PhD program committee, scientific research committee, and several other institutional bodies within KASIT and the University of Jordan.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 173, "language": "English", "was_translated": false }, { "text": "esearch committee, and several other institutional bodies within KASIT and the University of Jordan. KASIT's faculty as a whole covers a wide range of specializations that reflect the school's multidisciplinary scope.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 174, "language": "English", "was_translated": false }, { "text": "as a whole covers a wide range of specializations that reflect the school's multidisciplinary scope.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 175, "language": "English", "was_translated": false }, { "text": "Academic staff expertise spans Computer Science theory, Software Engineering, Computational Vision, Big Data Analytics, Artificial Intelligence, Machine Learning, Natural Language Processing, Cybersecurity, Information Security, Network Security, Database Systems, Business Intelligence, Computational Linguistics, Parallel and Distributed Computing, IoT, and Human-Computer Interaction, among", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 176, "language": "English", "was_translated": false }, { "text": "tational Linguistics, Parallel and Distributed Computing, IoT, and Human-Computer Interaction, among others. This breadth of expertise enables KASIT to offer students a diverse and rigorous academic environment supported by faculty who are both active researchers and experienced educators.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 177, "language": "English", "was_translated": false }, { "text": "academic environment supported by faculty who are both active researchers and experienced educators. Students at KASIT benefit from access to faculty members who have studied and worked internationally and who maintain active research collaborations with institutions and researchers around the world.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 178, "language": "English", "was_translated": false }, { "text": "and who maintain active research collaborations with institutions and researchers around the world.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 179, "language": "English", "was_translated": false }, { "text": "KASIT Midterm Exam Schedule Second Semester 2025 2026 King Abdullah II School for Information Technology University of Jordan A. Overview of the Exam Schedule This document is the complete midterm examination schedule for the second academic semester of 2025 2026 at the King Abdullah II School for Information Technology (KASIT), University of Jordan.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 1, "language": "English", "was_translated": false }, { "text": "f 2025 2026 at the King Abdullah II School for Information Technology (KASIT), University of Jordan. The schedule covers more than 90 distinct courses across all programs offered by the school, including Computer Science, Computer Information Systems, Business Information Technology, Cybersecurity, Artificial Intelligence, and Data Science.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 2, "language": "English", "was_translated": false }, { "text": "Systems, Business Information Technology, Cybersecurity, Artificial Intelligence, and Data Science. Exams are distributed across a broad time window that begins in mid-March 2026 and extends through early May 2026, with the majority of exams concentrated in April 2026.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 3, "language": "English", "was_translated": false }, { "text": "arch 2026 and extends through early May 2026, with the majority of exams concentrated in April 2026. All midterm examinations at KASIT are held inside the Information Technology building on the University of Jordan's main campus in Amman. The building contains numbered laboratories and halls ranging from room 001 through room 304, spread across multiple floors.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 4, "language": "English", "was_translated": false }, { "text": "mbered laboratories and halls ranging from room 001 through room 304, spread across multiple floors. Some large-enrollment courses require the simultaneous use of ten or more laboratories to accommodate all registered students. For very large courses such as Computer Basics and Modern Digital Skills, additional exam halls across other faculties of the University of Jordan are also used.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 5, "language": "English", "was_translated": false }, { "text": "ital Skills, additional exam halls across other faculties of the University of Jordan are also used. The schedule includes both full midterm exams and short quizzes (referred to as 'qisrab' or quiz). Full midterm exams typically last one hour, though some practical and lab-based courses have longer durations of two, three, or even four hours.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 6, "language": "English", "was_translated": false }, { "text": "though some practical and lab-based courses have longer durations of two, three, or even four hours. Short quizzes typically last between 30 minutes and one hour and are often held on a different date from the main midterm. Each course has a designated coordinator from the KASIT academic staff who is responsible for supervising and managing the exam session. B.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 7, "language": "English", "was_translated": false }, { "text": "r from the KASIT academic staff who is responsible for supervising and managing the exam session. B. March 2026 Exam Sessions Wednesday, 11 March 2026 On Wednesday, 11 March 2026, the midterm exam for Advanced Java Programming using Eclipse (course code 1902214) is held from 11:10 to 14:20, a duration of approximately three hours. This course is coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 8, "language": "English", "was_translated": false }, { "text": "held from 11:10 to 14:20, a duration of approximately three hours. This course is coordinated by Dr. Irsa Al-Zaghoul and has 66 registered students. The exam venue is the Faculty of Medicine building on the University of Jordan campus, which is used due to the specific logistics of this session. Wednesday, 1 April 2026 Wednesday, 1 April 2026 is one of the busiest exam days in the schedule.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 9, "language": "English", "was_translated": false }, { "text": "on. Wednesday, 1 April 2026 Wednesday, 1 April 2026 is one of the busiest exam days in the schedule. The largest single exam of the entire midterm period takes place on this day: Modern Digital Skills (course code 0309103), coordinated by instructor Lama Rajab, which runs from 09:00 to 13:00 a four-hour session with 3,628 registered students.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 10, "language": "English", "was_translated": false }, { "text": "uctor Lama Rajab, which runs from 09:00 to 13:00 a four-hour session with 3,628 registered students. This exam is the largest in the entire schedule by student count and requires a large number of technology laboratories including rooms 201, 202, 205, 206, 207, 301, and others.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 11, "language": "English", "was_translated": false }, { "text": "a large number of technology laboratories including rooms 201, 202, 205, 206, 207, 301, and others. Also on Wednesday, 1 April 2026, a short quiz for Computer Graphics (course code 1901359) is held from 13:00 to 13:30, lasting just 30 minutes. This quiz is coordinated by Prof. Hazem Al-Haiari and has 81 registered students. It takes place in technology laboratories 104, 105, and 203.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 12, "language": "English", "was_translated": false }, { "text": "-Haiari and has 81 registered students. It takes place in technology laboratories 104, 105, and 203. Additionally, a short quiz for Computer Architecture and Assembly Language (course code 1911231) is held from 12:30 to 13:00, also 30 minutes long, with 102 students supervised by instructor Iyah Saleh Al-Rashed, in laboratories 002, 206, and 207.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 13, "language": "English", "was_translated": false }, { "text": "with 102 students supervised by instructor Iyah Saleh Al-Rashed, in laboratories 002, 206, and 207. A short quiz for Theory of Algorithms (course code 1901341) is also scheduled on Thursday, 2 April 2026 from 15:30 to 16:00, which is a 30-minute quiz separate from the main midterm exam for that course.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 14, "language": "English", "was_translated": false }, { "text": "from 15:30 to 16:00, which is a 30-minute quiz separate from the main midterm exam for that course. This quiz is part of the overall April examination sequence for that course, coordinated by Prof. Azzam Sleit. C. Early April 2026 Exam Sessions (6 11 April) Monday, 6 April 2026 On Monday, 6 April 2026, the first exam session for Social Media (course code 0309101) is held from 10:00 to 11:00.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 15, "language": "English", "was_translated": false }, { "text": "ril 2026, the first exam session for Social Media (course code 0309101) is held from 10:00 to 11:00. This is the first of two separate exam groups for this course, which has a total enrollment of 600 students and is coordinated by Prof. Rizik Al-Sayyed.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 16, "language": "English", "was_translated": false }, { "text": "is course, which has a total enrollment of 600 students and is coordinated by Prof. Rizik Al-Sayyed. The large enrollment requires exam halls spread across multiple venues including technology laboratories, ST halls, and buildings of other faculties such as Rehabilitation, Agriculture, Arts, Engineering, and Law.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 17, "language": "English", "was_translated": false }, { "text": "s, and buildings of other faculties such as Rehabilitation, Agriculture, Arts, Engineering, and Law. Tuesday, 7 April 2026 On Tuesday, 7 April 2026, the midterm exam for Computer Networks (course code 1901363) is held from 14:00 to 15:00, lasting one hour. The course is coordinated by instructor Iyah Saleh Al-Rashed, with 291 registered students.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 18, "language": "English", "was_translated": false }, { "text": "ne hour. The course is coordinated by instructor Iyah Saleh Al-Rashed, with 291 registered students. The exam takes place in technology laboratories 102, 201, 202, 205, 206, 207, 301, and 302. Computer Networks is one of the larger mid-semester exams held in early April at KASIT.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 19, "language": "English", "was_translated": false }, { "text": "01, and 302. Computer Networks is one of the larger mid-semester exams held in early April at KASIT. Thursday, 9 April 2026 Thursday, 9 April 2026 hosts the main midterm exam for Theory of Algorithms (course code 1901341), running from 15:30 to 16:30. This course is coordinated by Prof. Azzam Sleit and has 330 registered students.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 20, "language": "English", "was_translated": false }, { "text": "rom 15:30 to 16:30. This course is coordinated by Prof. Azzam Sleit and has 330 registered students. The exam is held across multiple rooms including laboratories 102, 201, 202, 205, 206, 207, 301, 302, and 104.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 21, "language": "English", "was_translated": false }, { "text": "s held across multiple rooms including laboratories 102, 201, 202, 205, 206, 207, 301, 302, and 104. On the same day, the midterm exam for Computer Architecture and Assembly Language (course code 1911231) is held from 14:00 to 15:00, supervised by instructor Nasir Al-Din, with 81 students in laboratories 002, 206, and 207.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 22, "language": "English", "was_translated": false }, { "text": "to 15:00, supervised by instructor Nasir Al-Din, with 81 students in laboratories 002, 206, and 207. Saturday, 11 April 2026 Saturday, 11 April 2026 sees two midterm exams held simultaneously from 09:00 to 10:00.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 23, "language": "English", "was_translated": false }, { "text": "1 April 2026 Saturday, 11 April 2026 sees two midterm exams held simultaneously from 09:00 to 10:00. The first is Discrete Mathematics (course code 1901101), coordinated by instructor Nabil Al-Assaf, with 212 registered students, held in laboratories 101, 102, 103, 202, 203, 204, 205, 206, 207, 301, 302, and 303. The second is Digital Forensics Evidence (course code 1911483), coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 24, "language": "English", "was_translated": false }, { "text": "01, 302, and 303. The second is Digital Forensics Evidence (course code 1911483), coordinated by Dr. Ahmad Al-Houitat, with 62 registered students, held in laboratories 104, 105, and 203.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 25, "language": "English", "was_translated": false }, { "text": "inated by Dr. Ahmad Al-Houitat, with 62 registered students, held in laboratories 104, 105, and 203. Data Structures (course code 1901242) is also held on this date from 09:00 to 10:00, coordinated by instructor Nabil Al-Assaf with 212 students, held in ST halls A through H and halls in various faculty buildings across campus. D.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 26, "language": "English", "was_translated": false }, { "text": "212 students, held in ST halls A through H and halls in various faculty buildings across campus. D. Mid-April 2026 Exam Sessions (14 16 April) Tuesday, 14 April 2026 Tuesday, 14 April 2026 is a busy day with several exams in sequence. Statistical Packages (course code 1904255) is held from 08:30 to 09:30, coordinated by Dr. Bishar Al-Shboul, with only 15 registered students in laboratory ط/1ق5.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 27, "language": "English", "was_translated": false }, { "text": "to 09:30, coordinated by Dr. Bishar Al-Shboul, with only 15 registered students in laboratory ط/1ق5. Immediately after, Programming for Cybersecurity (course code 1911211) runs from 09:30 to 10:30, coordinated by Dr. Malik Al-Issa with 23 students in laboratory 104. At the same time on Tuesday 14 April, Operations Research (course code 1904341) also runs from 09:30 to 10:30, coordinated by Prof.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 28, "language": "English", "was_translated": false }, { "text": "April, Operations Research (course code 1904341) also runs from 09:30 to 10:30, coordinated by Prof. Hamed Al-Badour with 19 students in laboratory 303. Numerical Analysis (course code 1905120) follows from 10:30 to 11:30, coordinated by Prof. Shirbina with 73 students in laboratories 104, 105, and 203.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 29, "language": "English", "was_translated": false }, { "text": "om 10:30 to 11:30, coordinated by Prof. Shirbina with 73 students in laboratories 104, 105, and 203. Wednesday, 15 April 2026 On Wednesday, 15 April 2026, Systems Programming and Compiler Construction (course code 1901476) is held from 09:00 to 10:00, with 56 students in laboratory ط/1ق3 and laboratories 104, 105, and 203.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 30, "language": "English", "was_translated": false }, { "text": "s held from 09:00 to 10:00, with 56 students in laboratory ط/1ق3 and laboratories 104, 105, and 203. At the same time, Flexible Data Representation (course code 1915441), coordinated by Prof. Omar Al-Kadi with 32 students, is also held from 09:00 to 10:00 in laboratories 304 and 001. Computer Ethics (course code 1902478), coordinated by Prof.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 31, "language": "English", "was_translated": false }, { "text": "00 to 10:00 in laboratories 304 and 001. Computer Ethics (course code 1902478), coordinated by Prof. Hamed Al-Badour with 48 students, is held from 10:00 to 11:00 in laboratories 002, 206, and 207.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 32, "language": "English", "was_translated": false }, { "text": "of. Hamed Al-Badour with 48 students, is held from 10:00 to 11:00 in laboratories 002, 206, and 207. Also on Wednesday, 15 April 2026, Advanced Programming in Special Languages (course code 1901212) runs from 11:30 to 14:30, a full three-hour exam, coordinated by instructor Iyah Saleh Al-Rashed with 102 students. Fundamentals of Data Science (course code 1915121), coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 33, "language": "English", "was_translated": false }, { "text": "Al-Rashed with 102 students. Fundamentals of Data Science (course code 1915121), coordinated by Dr. Al-Roudhan with 44 students, runs from 13:00 to 14:00 in laboratories 002, 206, and 207. Functional Programming (course code 1904345), also coordinated by Dr. Al-Roudhan with 48 students, runs from 14:30 to 15:30 in laboratory 303. Special Topics (course code 1904485), coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 34, "language": "English", "was_translated": false }, { "text": "runs from 14:30 to 15:30 in laboratory 303. Special Topics (course code 1904485), coordinated by Dr. Youssef Sinjalawi with 35 students, also runs from 14:30 to 15:30 in laboratories 303, 104, 105, ط/2ق3, and ط/2ق2. Thursday, 16 April 2026 Thursday, 16 April 2026 features several concurrent exams. Database Technologies and Applications (course code 1902324), coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 35, "language": "English", "was_translated": false }, { "text": "l concurrent exams. Database Technologies and Applications (course code 1902324), coordinated by Dr. Reem Al-Fayez with 62 students, runs from 10:30 to 11:30 in laboratories 104, 105, and 203. Mobile Programming (course code 1904211), coordinated by Dr. Yarfas Mukhadamah with 22 students, also runs from 10:30 to 11:30 in laboratories 303, 001, 201, and 301.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 36, "language": "English", "was_translated": false }, { "text": "s Mukhadamah with 22 students, also runs from 10:30 to 11:30 in laboratories 303, 001, 201, and 301. Introduction to Artificial Intelligence (course code 1901351), coordinated by Dr. Al-Roudhan with 82 students, runs from 10:30 to 11:30 in laboratories 001, 103, 105, 203, and 302. Also on Thursday, 16 April 2026, Security Risk Management and Ethics (course code 1911221), coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 37, "language": "English", "was_translated": false }, { "text": "ursday, 16 April 2026, Security Risk Management and Ethics (course code 1911221), coordinated by Dr. Mohammad Al-Ma'ayah with 57 students, runs from 11:00 to 12:00 in laboratories 101 and 103. Theory of Computation (course code 1901241), coordinated by Prof. Abdel-Latif Abu Dalhoum with 81 students, runs from 12:00 to 13:00 in laboratories 102, 201, 202, 205, 301, and 302.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 38, "language": "English", "was_translated": false }, { "text": "Dalhoum with 81 students, runs from 12:00 to 13:00 in laboratories 102, 201, 202, 205, 301, and 302. The second exam group for Social Media (course code 0309101) runs from 15:30 to 16:30, the second session for Prof. Rizik Al-Sayyed's 600-student course. E.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 39, "language": "English", "was_translated": false }, { "text": "101) runs from 15:30 to 16:30, the second session for Prof. Rizik Al-Sayyed's 600-student course. E. Third Week of April 2026 Exam Sessions (18 23 April) Saturday, 18 April 2026 On Saturday, 18 April 2026, Internet of Things (course code 1905430), coordinated by Dr. Musa Al-Akhras with 74 registered students, is held from 10:00 to 11:00 in laboratories 001, 103, 105, 203, and 302.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 40, "language": "English", "was_translated": false }, { "text": "ith 74 registered students, is held from 10:00 to 11:00 in laboratories 001, 103, 105, 203, and 302. Digital Image Processing (course code 1902454), coordinated by Dr. Areeb Abu Al-Ghanam with 59 students, is held from 13:00 to 14:00 in laboratories 001, 002, 101, 301, and 303. Sunday, 19 April 2026 Sunday, 19 April 2026 is among the busiest single exam days in the entire schedule.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 41, "language": "English", "was_translated": false }, { "text": "y, 19 April 2026 Sunday, 19 April 2026 is among the busiest single exam days in the entire schedule. Computer Vision (course code 1905322), coordinated by Dr. Huda Karajeh with 86 students, runs from 10:30 to 11:30 in laboratories 001, 002, 101, 103, and 105. Computer Graphics main exam (course code 1901359), coordinated by Prof.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 42, "language": "English", "was_translated": false }, { "text": "001, 002, 101, 103, and 105. Computer Graphics main exam (course code 1901359), coordinated by Prof. Hazem Al-Haiari, runs from 11:30 to 12:30 in laboratories 202, 301, and 303. Ontology and Knowledge Graphs (course code 1905321), coordinated by Dr. Marwan Al-Taweel with 29 students, runs from 12:30 to 13:30 in laboratories 103 and 101.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 43, "language": "English", "was_translated": false }, { "text": "ated by Dr. Marwan Al-Taweel with 29 students, runs from 12:30 to 13:30 in laboratories 103 and 101. Also on Sunday, 19 April 2026, Advanced Java Programming (course code 1902214, second session), coordinated by Dr. Irsa Al-Zaghoul, runs from 13:30 to 14:30 in laboratories 104, 105, 203, and 302. Document Analysis and Representation (course code 1904484), coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 44, "language": "English", "was_translated": false }, { "text": "4, 105, 203, and 302. Document Analysis and Representation (course code 1904484), coordinated by Dr. Bishar Al-Shboul with 41 students, runs from 14:30 to 15:30 in laboratory ط/3ق3. Cryptography (course code 1911241), coordinated by Dr. Areeb Abu Al-Ghanam with 56 students, also runs from 14:30 to 15:30 in laboratory ط/1ق3. Artificial Intelligence (course code 1905320), coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 45, "language": "English", "was_translated": false }, { "text": "4:30 to 15:30 in laboratory ط/1ق3. Artificial Intelligence (course code 1905320), coordinated by Dr. Naslima with 246 students, is also held on 19 April in laboratories 001, 002, 103, 105, 203, 206, and 302. Monday, 20 April 2026 On Monday, 20 April 2026, Intelligent Robotics (course code 1905431), coordinated by Dr. Musa Al-Yaman with 36 students, runs from 10:00 to 11:00 in laboratory ط/1ق5.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 46, "language": "English", "was_translated": false }, { "text": "1), coordinated by Dr. Musa Al-Yaman with 36 students, runs from 10:00 to 11:00 in laboratory ط/1ق5. At the same time, Parallel and Distributed Systems (course code 1901468), coordinated by instructor Rashin with 42 students, runs from 10:00 to 11:00 in laboratory ط/1ق3. Data Engineering and Analytics (course code 1915231), coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 47, "language": "English", "was_translated": false }, { "text": "11:00 in laboratory ط/1ق3. Data Engineering and Analytics (course code 1915231), coordinated by Dr. Huthayfah Abu Hamayda with 41 students, runs from 13:00 to 14:00. Tuesday, 21 April 2026 On Tuesday, 21 April 2026, Security Intelligence (course code 1911489), coordinated by Prof. Omar Al-Kadi with 40 students, runs from 12:30 to 14:00 a 90-minute exam in laboratories 103 and 104.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 48, "language": "English", "was_translated": false }, { "text": "mar Al-Kadi with 40 students, runs from 12:30 to 14:00 a 90-minute exam in laboratories 103 and 104. IT Policy (course code 1904101), coordinated by Malik Al-Hassan with 144 students, runs from 14:00 to 15:00 in laboratories 001, 002, 101, 301, and 303. Wednesday, 22 April 2026 Wednesday, 22 April 2026 sees a number of exams.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 49, "language": "English", "was_translated": false }, { "text": "1, 002, 101, 301, and 303. Wednesday, 22 April 2026 Wednesday, 22 April 2026 sees a number of exams. AI Applications (course code 0309104), coordinated by instructor Walaa Taqtish with 232 students, runs from 10:00 to 11:00 in laboratories 101, 102, 103, 201, 202, 302, and 303. Web Technologies and E-Applications (course code 1904355), coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 50, "language": "English", "was_translated": false }, { "text": "01, 202, 302, and 303. Web Technologies and E-Applications (course code 1904355), coordinated by Dr. Dana Al-Qadah with 26 students, runs from 10:00 to 11:00 in laboratory 304. Pattern Analysis and Information (course code 1915371), coordinated by Dr. Maher Al-Shatma with 40 students, also runs from 10:00 to 11:00 in laboratory ط/2ق3.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 51, "language": "English", "was_translated": false }, { "text": "rdinated by Dr. Maher Al-Shatma with 40 students, also runs from 10:00 to 11:00 in laboratory ط/2ق3. Also on Wednesday, 22 April 2026, Database Management Systems (course code 1902224), coordinated by Dr. Maher Al-Shatma with 246 students, runs from 11:30 to 12:30 across multiple floors of the technology building. Computer Organization (course code 1911461), coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 52, "language": "English", "was_translated": false }, { "text": "e floors of the technology building. Computer Organization (course code 1911461), coordinated by Dr. Malik Al-Issa with 64 students, also runs from 11:30 to 12:30 in laboratories 101, 103, 202, 203, and 204. Computational Problems and Techniques (course code 1901444), coordinated by Dr. Batsama Al-Shuqrat with 43 students, runs from 13:00 to 14:00 in laboratory ط/2ق1.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 53, "language": "English", "was_translated": false }, { "text": "oordinated by Dr. Batsama Al-Shuqrat with 43 students, runs from 13:00 to 14:00 in laboratory ط/2ق1. Continuing on Wednesday, 22 April 2026, Introductory Programming (course code 1941102), coordinated by instructor Tazina Al-Qabbaj with 247 students, runs from 13:30 to 15:30 a two-hour exam. Cyber-Physical Security Systems CPSS (course code 1911431), coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 54, "language": "English", "was_translated": false }, { "text": "5:30 a two-hour exam. Cyber-Physical Security Systems CPSS (course code 1911431), coordinated by Dr. Mohammad Al-Ma'ayah with 33 students, runs from 14:30 to 15:30 in laboratory 104. Total Quality Management TQM (course code 1904481), coordinated by Dr. Yazan Al-Shmayleh with 22 students, also runs from 14:30 to 15:30 in laboratory 302.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 55, "language": "English", "was_translated": false }, { "text": "rdinated by Dr. Yazan Al-Shmayleh with 22 students, also runs from 14:30 to 15:30 in laboratory 302. Thursday, 23 April 2026 Thursday, 23 April 2026 is the single most congested exam day in the entire midterm schedule. Object-Oriented Programming OOP (course code 1902110), coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 56, "language": "English", "was_translated": false }, { "text": "e entire midterm schedule. Object-Oriented Programming OOP (course code 1902110), coordinated by Dr. Irsa Al-Zaghoul with 549 registered students the second-largest exam in the schedule runs from 09:00 to 13:00, a full four-hour session, spread across more than 15 laboratories in the technology building plus the laboratories center.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 57, "language": "English", "was_translated": false }, { "text": "on, spread across more than 15 laboratories in the technology building plus the laboratories center. Computer Basics (course code 0309099), coordinated by instructor Buqdawi with 1,922 registered students the largest single exam in the schedule also runs from 09:00 to 13:00 for four hours in the laboratories center. These two massive exams run simultaneously from the same start time.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 58, "language": "English", "was_translated": false }, { "text": "urs in the laboratories center. These two massive exams run simultaneously from the same start time. Also on Thursday, 23 April 2026 from 13:30 to 14:30, several courses have their midterm exams concurrently: Databases (course code 1902323, 41 students, coordinated by Prof. Sadam Abu Mahmoum, laboratory 206); Multimedia (course code 1902351, 46 students, coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 59, "language": "English", "was_translated": false }, { "text": "Sadam Abu Mahmoum, laboratory 206); Multimedia (course code 1902351, 46 students, coordinated by Dr. Al-Khatib, laboratory 104); Knowledge Management Systems (course code 1904323, 27 students, coordinated by Malik Al-Hassan, laboratory 102); ERP Enterprise Resource Planning (course code 1904351, 34 students, coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 60, "language": "English", "was_translated": false }, { "text": "oratory 102); ERP Enterprise Resource Planning (course code 1904351, 34 students, coordinated by Dr. Hadanah Al-Qadah, laboratory ط/3ق3); E-Business (course code 1904442, 40 students, coordinated by Dr. Youssef Sinjalawi, laboratory ط/2ق2); Knowledge Representation and Reasoning (course code 1905221, 35 students, coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 61, "language": "English", "was_translated": false }, { "text": "ط/2ق2); Knowledge Representation and Reasoning (course code 1905221, 35 students, coordinated by Dr. Huthayfah Abu Hammad); and Malware Analysis and Reverse Engineering (course code 1911481, 37 students, coordinated by Dr. Mazen Al-Wadi, laboratories 002, 105, and 206).", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 62, "language": "English", "was_translated": false }, { "text": "course code 1911481, 37 students, coordinated by Dr. Mazen Al-Wadi, laboratories 002, 105, and 206). Additionally on Thursday, 23 April 2026, Information Security and Privacy (course code 1911322), coordinated by instructor Tazina Al-Qabbaj with 240 students, runs from 13:30 to 15:30 a two-hour exam in laboratories 101, 102, 103, 105, 202, 203, 204, and 206.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 63, "language": "English", "was_translated": false }, { "text": "runs from 13:30 to 15:30 a two-hour exam in laboratories 101, 102, 103, 105, 202, 203, 204, and 206. Big Data (course code 1915431), coordinated by Dr. Mohammad Al-Rashed with 45 students, runs from 13:30 to 14:30 in laboratories 104 and 105. F.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 64, "language": "English", "was_translated": false }, { "text": "by Dr. Mohammad Al-Rashed with 45 students, runs from 13:30 to 14:30 in laboratories 104 and 105. F. Fourth Week of April 2026 Exam Sessions (25 30 April) Saturday, 25 April 2026 On Saturday, 25 April 2026, Python Programming and Problem Solving (course code 1915111), coordinated by Dr. Run Ubaydaat with 271 registered students, runs from 12:30 to 13:30 in laboratories 002, 101, 102, 201, and 206.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 65, "language": "English", "was_translated": false }, { "text": "with 271 registered students, runs from 12:30 to 13:30 in laboratories 002, 101, 102, 201, and 206. This is one of the larger mid-April exams, reflecting the growing importance of Python in KASIT's data science and AI-related programs. Sunday, 26 April 2026 Sunday, 26 April 2026 has a cluster of exams. Applied Statistics (course code 1915251), coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 66, "language": "English", "was_translated": false }, { "text": ", 26 April 2026 has a cluster of exams. Applied Statistics (course code 1915251), coordinated by Dr. Louay Al-Namir with 32 students, runs from 08:30 to 09:30 in laboratories 104, 105, and 203. Entrepreneurship and Innovation (course code 1902383), coordinated by Dr. Reem Al-Fayez with 62 students, runs from 09:00 to 10:00 in laboratories 101, 103, and 104.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 67, "language": "English", "was_translated": false }, { "text": "d by Dr. Reem Al-Fayez with 62 students, runs from 09:00 to 10:00 in laboratories 101, 103, and 104. IT Operations Management (course code 1904472), coordinated by Dr. Mohammad Al-Rashed with 55 students, runs from 10:00 to 11:00 in laboratories 202, 206, and 302. Also on Sunday, 26 April 2026, Intelligent Business Systems (course code 1904371), coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 68, "language": "English", "was_translated": false }, { "text": "lso on Sunday, 26 April 2026, Intelligent Business Systems (course code 1904371), coordinated by Dr. Hadanah Al-Qadah with 28 students, runs from 14:30 to 15:30. Management Information Systems MIS (course code 1904232), coordinated by Dr. Yazan Al-Shmayleh with 24 students, also runs from 14:30 to 15:30 in laboratory 301.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 69, "language": "English", "was_translated": false }, { "text": "rdinated by Dr. Yazan Al-Shmayleh with 24 students, also runs from 14:30 to 15:30 in laboratory 301. Geographic Information Systems GIS (course code 1902459), coordinated by instructor Al-Mohammad Al-Za'arnbel with 41 students, runs from 15:30 to 16:30 in laboratories 101, 103, and 003.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 70, "language": "English", "was_translated": false }, { "text": "-Mohammad Al-Za'arnbel with 41 students, runs from 15:30 to 16:30 in laboratories 101, 103, and 003. Sunday, 27 April 2026 On Sunday, 27 April 2026, Computer Documentation Ethics (course code 1902203), coordinated by Dr. Huda Karajeh with 54 students, runs from 11:30 to 12:30 in laboratories 101 and 103. Web Application Security (course code 1911351), coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 71, "language": "English", "was_translated": false }, { "text": "2:30 in laboratories 101 and 103. Web Application Security (course code 1911351), coordinated by Dr. Mohammad Al-Ma'ayah with 67 students, runs from 14:00 to 15:00 in laboratories 202, 302, and 303.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 72, "language": "English", "was_translated": false }, { "text": "r. Mohammad Al-Ma'ayah with 67 students, runs from 14:00 to 15:00 in laboratories 202, 302, and 303. Monday, 27 April 2026 On Monday, 27 April 2026, three courses share the 11:30 to 12:30 time slot: Digital Logic (course code 1901204, 52 students, coordinated by instructor Imad Saleh, laboratories 105 and ط/1ق2); Security Principles (course code 1911101, 24 students, coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 73, "language": "English", "was_translated": false }, { "text": "boratories 105 and ط/1ق2); Security Principles (course code 1911101, 24 students, coordinated by Dr. Mohammad Atoom, laboratory 105); and Deep Learning (course code 1915471, 43 students, coordinated by Dr. Maher Al-Shatma, laboratories ط/3ق3 and 304). Ethics and Penetration Testing (course code 1911381), coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 74, "language": "English", "was_translated": false }, { "text": "aboratories ط/3ق3 and 304). Ethics and Penetration Testing (course code 1911381), coordinated by Dr. Ahmad Al-Houitat with 44 students, runs from 13:00 to 14:00 in laboratory 001. Advanced Penetration Testing (course code 1911393), also coordinated by Dr. Ahmad Al-Houitat but for a separate group of 24 students, runs at the same time from 13:00 to 14:00 in laboratory 002.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 75, "language": "English", "was_translated": false }, { "text": "ut for a separate group of 24 students, runs at the same time from 13:00 to 14:00 in laboratory 002. Tuesday, 28 April 2026 Tuesday, 28 April 2026 has several exams. Advanced Web Applications (course code 1904254), coordinated by Dr. Bishar Al-Shboul with 64 students, runs from 10:30 to 11:30 in laboratories 103 and 104. Computer Ethics and Documentation (course code 1901301), coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 76, "language": "English", "was_translated": false }, { "text": "aboratories 103 and 104. Computer Ethics and Documentation (course code 1901301), coordinated by Dr. Mazen Al-Wadi with 54 students, runs from 11:30 to 15:30 a four-hour exam. NoSQL Non-Relational Databases (course code 1915331), coordinated by Dr. Huda Karajeh with 54 students, runs from 11:30 to 12:30 in laboratories 104, 105, 203, and 301.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 77, "language": "English", "was_translated": false }, { "text": "Dr. Huda Karajeh with 54 students, runs from 11:30 to 12:30 in laboratories 104, 105, 203, and 301. Software Engineering (course code 1902472), coordinated by Prof. Amjad Hudaib with 43 students, runs from 14:30 to 15:30 in laboratories 104, 105, 203, 301, and ط/1ق3. Special Topics in Data Science (course code 1915494), coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 78, "language": "English", "was_translated": false }, { "text": ", 105, 203, 301, and ط/1ق3. Special Topics in Data Science (course code 1915494), coordinated by Dr. Youssef Sinjalawi with 23 students, runs from 15:30 to 16:30 in laboratory 302. Wednesday, 29 April 2026 On Wednesday, 29 April 2026, Systems Analysis and Design (course code 1902474), coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 79, "language": "English", "was_translated": false }, { "text": "6 On Wednesday, 29 April 2026, Systems Analysis and Design (course code 1902474), coordinated by Dr. Ahmad Al-Sawalkha with 72 students, runs from 11:30 to 12:30 in laboratories 001, 002, 101, and 102.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 80, "language": "English", "was_translated": false }, { "text": "Ahmad Al-Sawalkha with 72 students, runs from 11:30 to 12:30 in laboratories 001, 002, 101, and 102.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 81, "language": "English", "was_translated": false }, { "text": "Thursday, 30 April 2026 Thursday, 30 April 2026 has four exams all running from 15:30 to 16:30: Secure Software Engineering (course code 1911371, 42 students, coordinated by instructor Salim Al-Dayreh, laboratories 101, 206, and 207); Special Topics in Artificial Intelligence (course code 1905493, 43 students, coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 82, "language": "English", "was_translated": false }, { "text": "07); Special Topics in Artificial Intelligence (course code 1905493, 43 students, coordinated by Dr. Maher Al-Shatma, laboratory ط/3ق3); Cloud Computing (course code 1915461, 40 students, coordinated by instructor Alki Shalab, laboratory 001); and User-Adaptive Systems (course code 1905323, 20 students, coordinated by instructor Iyas Habtan, laboratory ط/2ق3).", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 83, "language": "English", "was_translated": false }, { "text": "Systems (course code 1905323, 20 students, coordinated by instructor Iyas Habtan, laboratory ط/2ق3). Analysis of Computing Science Expertise (course code 1915101), coordinated by Prof. Omar Al-Kadi with 208 students, runs from 14:30 to 15:30 across 14 different laboratories in the technology building. Security Operations (course code 1911387), coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 84, "language": "English", "was_translated": false }, { "text": "boratories in the technology building. Security Operations (course code 1911387), coordinated by Dr. Areeb Abu Al-Ghanam with 67 students, runs from 15:00 to 16:00 in laboratories 206 and 207. G. Early May 2026 Exam Sessions (2 6 May) Saturday, 2 May 2026 Saturday, 2 May 2026 is another high-traffic exam day. Web Application Development (course code 1904120), coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 85, "language": "English", "was_translated": false }, { "text": "another high-traffic exam day. Web Application Development (course code 1904120), coordinated by Dr. Yarfas Mukhadamah with 481 registered students the third-largest exam in the schedule runs from 09:00 to 10:00, requiring more than 11 halls and floors across the technology building. Human-Computer Interaction HCI (course code 1902353), coordinated by Prof.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 86, "language": "English", "was_translated": false }, { "text": "the technology building. Human-Computer Interaction HCI (course code 1902353), coordinated by Prof. Sadam Abu Mahmoum with 123 students, runs from 10:00 to 10:30 a 30-minute exam in laboratories 103, 104, 105, and 302. Sunday, 3 May 2026 On Sunday, 3 May 2026, Natural Language Processing NLP (course code 1905380), coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 87, "language": "English", "was_translated": false }, { "text": "026 On Sunday, 3 May 2026, Natural Language Processing NLP (course code 1905380), coordinated by Dr. Louay Al-Namir with 90 students, runs from 14:30 to 15:30 in laboratories 001, 002, 101, and 102. This course reflects KASIT's growing focus on artificial intelligence applications, particularly in the area of language processing.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 88, "language": "English", "was_translated": false }, { "text": "wing focus on artificial intelligence applications, particularly in the area of language processing. Monday, 4 May 2026 On Monday, 4 May 2026, Information Systems and Applications (course code 1902225), coordinated by Dr. Mohammad Abu Rais with 89 students, runs from 11:30 to 12:30 in laboratories 102, 201, 302, and 303. Data Theory (course code 1901443), coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 89, "language": "English", "was_translated": false }, { "text": "12:30 in laboratories 102, 201, 302, and 303. Data Theory (course code 1901443), coordinated by Dr. Batsama Al-Shuqrat with 56 students, runs from 13:00 to 14:00 in laboratories 101 and 102. Wednesday, 4 May 2026 On Wednesday, 4 May 2026, Software Engineering 2 (course code 1902372), coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 90, "language": "English", "was_translated": false }, { "text": "May 2026 On Wednesday, 4 May 2026, Software Engineering 2 (course code 1902372), coordinated by Dr. Ahmad Al-Sawalkha with 298 students, is held from 12:30 to 13:00 a 30-minute quiz in laboratories 002, 101, 102, 103, 105, and 206. This is one of the larger short quizzes in the schedule.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 91, "language": "English", "was_translated": false }, { "text": "oratories 002, 101, 102, 103, 105, and 206. This is one of the larger short quizzes in the schedule. Tuesday, 5 May 2026 Tuesday, 5 May 2026 features Operating Systems (course code 1901473), coordinated by instructor Younis Bin with 239 registered students, held from 15:30 to 16:30 across 14 different laboratories in the technology building.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 92, "language": "English", "was_translated": false }, { "text": "ered students, held from 15:30 to 16:30 across 14 different laboratories in the technology building. Also on this day, Network Security (course code 1911361), coordinated by Dr. Malik Al-Issa with 75 students, runs from 10:30 to 11:30 in laboratories 104, 105, and 203. Data Mining (course code 1905222), coordinated by Prof.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 93, "language": "English", "was_translated": false }, { "text": "to 11:30 in laboratories 104, 105, and 203. Data Mining (course code 1905222), coordinated by Prof. Rizik Al-Sayyed with 113 students, runs from 15:30 to 16:30 in laboratories 001, 002, 101, 102, 103, and 105. Wednesday, 6 May 2026 Wednesday, 6 May 2026 closes out the midterm period with several final exams. Web Server Programming (course code 1904253), coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 94, "language": "English", "was_translated": false }, { "text": "rm period with several final exams. Web Server Programming (course code 1904253), coordinated by Dr. Mohammad Al-Rashed with 41 students, runs from 11:30 to 12:30 in laboratories 001 and 002. Embedded Systems (course code 1905330), coordinated by Dr. Musa Al-Yaman with 49 students, also runs from 11:30 to 12:30 in laboratories ط/3ق3, 301, and 303.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 95, "language": "English", "was_translated": false }, { "text": ". Musa Al-Yaman with 49 students, also runs from 11:30 to 12:30 in laboratories ط/3ق3, 301, and 303. Security Management and Auditing (course code 1911321), coordinated by Dr. Mohammad Atoom with 41 students, also runs from 11:30 to 12:30 in laboratories 207 and 301. Also on Wednesday, 6 May 2026, Machine Learning and Neural Networks (course code 1915370), coordinated by Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 96, "language": "English", "was_translated": false }, { "text": "ednesday, 6 May 2026, Machine Learning and Neural Networks (course code 1915370), coordinated by Dr. Al-Roudhan with 62 students, runs from 13:00 to 14:00 in laboratories 001, 002, 206, and 207. AI and Data Science Ethics (course code 1905220), coordinated by Dr. Al-Khatib with 59 students, also runs from 13:00 to 14:00 in laboratories 001, 103, 104, and 105. H.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 97, "language": "English", "was_translated": false }, { "text": "Al-Khatib with 59 students, also runs from 13:00 to 14:00 in laboratories 001, 103, 104, and 105. H. Course Coordinators by Name The following academic staff members from KASIT serve as coordinators for the courses listed in this midterm schedule. Prof. Azzam Sleit coordinates Theory of Algorithms (1901341). Prof. Rizik Al-Sayyed coordinates Social Media (0309101) and Data Mining (1905222). Prof.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 98, "language": "English", "was_translated": false }, { "text": "(1901341). Prof. Rizik Al-Sayyed coordinates Social Media (0309101) and Data Mining (1905222). Prof. Hamed Al-Badour coordinates Operations Research (1904341) and Computer Ethics (1902478). Prof. Hazem Al-Haiari coordinates Computer Graphics (1901359). Prof. Abdel-Latif Abu Dalhoum coordinates Theory of Computation (1901241). Prof.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 99, "language": "English", "was_translated": false }, { "text": "Graphics (1901359). Prof. Abdel-Latif Abu Dalhoum coordinates Theory of Computation (1901241). Prof. Omar Al-Kadi coordinates Flexible Data Representation (1915441), Security Intelligence (1911489), and Analysis of Computing Science Expertise (1915101). Prof. Amjad Hudaib coordinates Software Engineering (1902472). Prof.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 100, "language": "English", "was_translated": false }, { "text": "ng Science Expertise (1915101). Prof. Amjad Hudaib coordinates Software Engineering (1902472). Prof. Sadam Abu Mahmoum coordinates Databases (1902323) and Human-Computer Interaction (1902353). Dr. Irsa Al-Zaghoul coordinates Advanced Java Programming (1902214) and Object-Oriented Programming (1902110). Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 101, "language": "English", "was_translated": false }, { "text": "ghoul coordinates Advanced Java Programming (1902214) and Object-Oriented Programming (1902110). Dr. Al-Roudhan coordinates Fundamentals of Data Science (1915121), Functional Programming (1904345), Introduction to Artificial Intelligence (1901351), and Machine Learning and Neural Networks (1915370). Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 102, "language": "English", "was_translated": false }, { "text": "uction to Artificial Intelligence (1901351), and Machine Learning and Neural Networks (1915370). Dr. Maher Al-Shatma coordinates Deep Learning (1915471), Database Management Systems (1902224), Pattern Analysis and Information (1915371), and Special Topics in AI (1905493). Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 103, "language": "English", "was_translated": false }, { "text": "stems (1902224), Pattern Analysis and Information (1915371), and Special Topics in AI (1905493). Dr. Ahmad Al-Houitat coordinates Digital Forensics Evidence (1911483), Ethics and Penetration Testing (1911381), and Advanced Penetration Testing (1911393). Dr. Malik Al-Issa coordinates Programming for Cybersecurity (1911211), Computer Organization (1911461), and Network Security (1911361). Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 104, "language": "English", "was_translated": false }, { "text": "ng for Cybersecurity (1911211), Computer Organization (1911461), and Network Security (1911361). Dr. Bishar Al-Shboul coordinates Statistical Packages (1904255), Document Analysis and Representation (1904484), and Advanced Web Applications (1904254). Dr. Areeb Abu Al-Ghanam coordinates Digital Image Processing (1902454), Cryptography (1911241), and Security Operations (1911387). Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 105, "language": "English", "was_translated": false }, { "text": "s Digital Image Processing (1902454), Cryptography (1911241), and Security Operations (1911387). Dr. Huda Karajeh coordinates Computer Vision (1905322), Computer Ethics and Documentation (1902203), and NoSQL Databases (1915331). Dr. Mohammad Al-Ma'ayah coordinates Security Risk Management and Ethics (1911221), Web Application Security (1911351), and Cyber-Physical Security Systems (1911431). Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 106, "language": "English", "was_translated": false }, { "text": "cs (1911221), Web Application Security (1911351), and Cyber-Physical Security Systems (1911431). Dr. Reem Al-Fayez coordinates Database Technologies and Applications (1902324) and Entrepreneurship and Innovation (1902383). Dr. Yarfas Mukhadamah coordinates Mobile Programming (1904211) and Web Application Development (1904120). Dr. Musa Al-Akhras coordinates Internet of Things (1905430). Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 107, "language": "English", "was_translated": false }, { "text": "Application Development (1904120). Dr. Musa Al-Akhras coordinates Internet of Things (1905430). Dr. Musa Al-Yaman coordinates Intelligent Robotics (1905431) and Embedded Systems (1905330). Dr. Marwan Al-Taweel coordinates Ontology and Knowledge Graphs (1905321). Dr. Louay Al-Namir coordinates Applied Statistics (1915251) and Natural Language Processing (1905380). Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 108, "language": "English", "was_translated": false }, { "text": "uay Al-Namir coordinates Applied Statistics (1915251) and Natural Language Processing (1905380). Dr. Mazen Al-Wadi coordinates Malware Analysis and Reverse Engineering (1911481) and Computer Ethics and Documentation (1901301). Dr. Mohammad Al-Rashed coordinates Big Data (1915431), IT Operations Management (1904472), and Web Server Programming (1904253). Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 109, "language": "English", "was_translated": false }, { "text": "es Big Data (1915431), IT Operations Management (1904472), and Web Server Programming (1904253). Dr. Hadanah Al-Qadah coordinates ERP (1904351) and Intelligent Business Systems (1904371). Dr. Youssef Sinjalawi coordinates Special Topics (1904485), E-Business (1904442), and Special Topics in Data Science (1915494). Dr. Yazan Al-Shmayleh coordinates MIS (1904232) and TQM (1904481). Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 110, "language": "English", "was_translated": false }, { "text": "cs in Data Science (1915494). Dr. Yazan Al-Shmayleh coordinates MIS (1904232) and TQM (1904481). Dr. Ahmad Al-Sawalkha coordinates Software Engineering 2 (1902372) and Systems Analysis and Design (1902474). Instructor Lama Rajab coordinates Modern Digital Skills (0309103). Instructor Nabil Al-Assaf coordinates Discrete Mathematics (1901101) and Data Structures (1901242).", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 111, "language": "English", "was_translated": false }, { "text": "Instructor Nabil Al-Assaf coordinates Discrete Mathematics (1901101) and Data Structures (1901242). Instructor Tazina Al-Qabbaj coordinates Information Security and Privacy (1911322) and Introductory Programming (1941102). Instructor Younis Bin coordinates Operating Systems (1901473). Instructor Walaa Taqtish coordinates AI Applications (0309104).", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 112, "language": "English", "was_translated": false }, { "text": "dinates Operating Systems (1901473). Instructor Walaa Taqtish coordinates AI Applications (0309104). Instructor Salim Al-Dayreh coordinates Secure Software Engineering (1911371). Dr. Run Ubaydaat coordinates Python Programming (1915111). Dr. Mohammad Atoom coordinates Security Principles (1911101) and Security Management and Auditing (1911321). Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 113, "language": "English", "was_translated": false }, { "text": "Atoom coordinates Security Principles (1911101) and Security Management and Auditing (1911321). Dr. Dana Al-Qadah coordinates Web Technologies and E-Applications (1904355). Dr. Batsama Al-Shuqrat coordinates Computational Problems (1901444) and Data Theory (1901443). Dr. Huthayfah Abu Hamayda coordinates Data Engineering and Analytics (1915231). Dr.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 114, "language": "English", "was_translated": false }, { "text": "heory (1901443). Dr. Huthayfah Abu Hamayda coordinates Data Engineering and Analytics (1915231). Dr. Mohammad Abu Rais coordinates Information Systems and Applications (1902225). I.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 115, "language": "English", "was_translated": false }, { "text": "tics (1915231). Dr. Mohammad Abu Rais coordinates Information Systems and Applications (1902225). I. Largest Exams by Student Count The largest exam in the entire midterm schedule for KASIT's second semester 2025 2026 is Computer Basics (course code 0309099) with 1,922 registered students, held on Thursday 23 April 2026 from 09:00 to 13:00 for four hours, coordinated by instructor Buqdawi.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 116, "language": "English", "was_translated": false }, { "text": "eld on Thursday 23 April 2026 from 09:00 to 13:00 for four hours, coordinated by instructor Buqdawi. The second largest is Modern Digital Skills (course code 0309103) with 3,628 students note this is actually the numerically largest held on Wednesday 1 April 2026 from 09:00 to 13:00, coordinated by instructor Lama Rajab.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 117, "language": "English", "was_translated": false }, { "text": "ly largest held on Wednesday 1 April 2026 from 09:00 to 13:00, coordinated by instructor Lama Rajab. The third largest is Object-Oriented Programming (course code 1902110) with 549 students on Thursday 23 April 2026. Web Application Development (course code 1904120) has 481 students. Software Engineering 2 (course code 1902372) has 298 students.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 118, "language": "English", "was_translated": false }, { "text": "ourse code 1904120) has 481 students. Software Engineering 2 (course code 1902372) has 298 students. Python Programming (course code 1915111) has 271 students. Introductory Programming (course code 1941102) has 247 students. Both AI Applications (course code 0309104) and Database Management Systems (course code 1902224) each have 246 students.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 119, "language": "English", "was_translated": false }, { "text": "(course code 0309104) and Database Management Systems (course code 1902224) each have 246 students. Artificial Intelligence (course code 1905320) has 246 students. Operating Systems (course code 1901473) has 239 students. Information Security and Privacy (course code 1911322) has 240 students. Analysis of Computing Science Expertise (course code 1915101) has 208 students. J.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 120, "language": "English", "was_translated": false }, { "text": "has 240 students. Analysis of Computing Science Expertise (course code 1915101) has 208 students. J.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 121, "language": "English", "was_translated": false }, { "text": "Summary and Key Facts The midterm exam schedule for the second semester 2025 2026 at KASIT, University of Jordan spans from 11 March 2026 to 6 May 2026, covering a total of more than 90 different courses across the school's five departments: Computer Science, Computer Information Systems, Business Information Technology, Cybersecurity, and Artificial Intelligence and Data Science.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 122, "language": "English", "was_translated": false }, { "text": "stems, Business Information Technology, Cybersecurity, and Artificial Intelligence and Data Science. All exams are held in the technology building on the University of Jordan's main campus, with overflow to other faculty buildings for the largest-enrollment courses. The schedule reflects the full breadth of KASIT's academic programs.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 123, "language": "English", "was_translated": false }, { "text": "the largest-enrollment courses. The schedule reflects the full breadth of KASIT's academic programs.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 124, "language": "English", "was_translated": false }, { "text": "Courses covering fundamental computer science topics such as algorithms, data structures, discrete mathematics, operating systems, and computer networks are present alongside more specialized upper-level courses in artificial intelligence, deep learning, machine learning, computer vision, natural language processing, intelligent robotics, embedded systems, and cloud computing.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 125, "language": "English", "was_translated": false }, { "text": "er vision, natural language processing, intelligent robotics, embedded systems, and cloud computing. The cybersecurity specialization is particularly well-represented, with courses in cryptography, network security, web application security, digital forensics, malware analysis, penetration testing, security operations, security management, and cyber-physical systems all appearing in the schedule.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 126, "language": "English", "was_translated": false }, { "text": "security operations, security management, and cyber-physical systems all appearing in the schedule. Several exam sessions are exceptionally large and logistically complex.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 127, "language": "English", "was_translated": false }, { "text": "l appearing in the schedule. Several exam sessions are exceptionally large and logistically complex. Thursday, 23 April 2026 stands out as the most demanding day, with two four-hour exams running simultaneously for over 2,400 students combined (Computer Basics and Object-Oriented Programming), along with multiple other exams running in the afternoon.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 128, "language": "English", "was_translated": false }, { "text": "r Basics and Object-Oriented Programming), along with multiple other exams running in the afternoon. Wednesday, 1 April 2026 is also notable for the Modern Digital Skills exam alone serving 3,628 students over four hours. These large sessions require comprehensive coordination of laboratory spaces, supervisory staff, and technical support across the entire KASIT building and beyond.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 129, "language": "English", "was_translated": false }, { "text": "ratory spaces, supervisory staff, and technical support across the entire KASIT building and beyond. Most midterm exams at KASIT last one hour.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 130, "language": "English", "was_translated": false }, { "text": "ical support across the entire KASIT building and beyond. Most midterm exams at KASIT last one hour.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 131, "language": "English", "was_translated": false }, { "text": "Notable exceptions include Computer Basics (4 hours), Modern Digital Skills (4 hours), Object-Oriented Programming (4 hours), Computer Ethics and Documentation 1901301 (4 hours), Advanced Java Programming 1902214 (approximately 3 hours), Advanced Programming in Special Languages 1901212 (3 hours), Information Security and Privacy 1911322 (2 hours), and Introductory Programming 1941102 (2 hours).", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 132, "language": "English", "was_translated": false }, { "text": "Information Security and Privacy 1911322 (2 hours), and Introductory Programming 1941102 (2 hours). Short quizzes of 30 minutes are held for courses including Computer Graphics, Computer Architecture and Assembly Language, and the quiz component of Theory of Algorithms.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 133, "language": "English", "was_translated": false }, { "text": "aphics, Computer Architecture and Assembly Language, and the quiz component of Theory of Algorithms.", "source": "KASIT_Midterm_Schedule.docx", "chunk_id": 134, "language": "English", "was_translated": false }, { "text": "المكرمة الملكية السامية مكرمة العشائر الجهة الناشرة: وحدة تنسيق القبول الموحد الأردن التصنيف: Makruma Al-Ashaer تاريخ النشر: 18-08-2025 القسم 1: آلية التقديم على المكرمة الملكية السامية ورسوم الطلب المحتوى يتم تقديم طلب الاستفادة من المكرمة الملكية السامية إلكترونياً من خلال الموقع الرسمي لوحدة تنسيق القبول الموحد.", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 1, "language": "Arabic", "was_translated": false }, { "text": "طلب الاستفادة من المكرمة الملكية السامية إلكترونياً من خلال الموقع الرسمي لوحدة تنسيق القبول الموحد. بعد تثبيت الطلب، يتم دفع رسوم التقديم البالغة 5 دنانير أردنية باستخدام خدمة إي-فواتيركم (eFAWATEERcom).", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 2, "language": "Arabic", "was_translated": false }, { "text": "تثبيت الطلب، يتم دفع رسوم التقديم البالغة 5 دنانير أردنية باستخدام خدمة إي-فواتيركم (eFAWATEERcom). البيانات الوصفية (Metadata) section: General Info intent: application overview fees: 5 JOD payment method: eFAWATEERcom, إي-فواتيركم, اي فواتيركم keywords: رسوم المكرمة, طريقة التقديم, الدفع, قبول موحد الأسئلة الشائعة (Q&A) س: كيف يتم تقديم طلب المكرمة الملكية؟", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 3, "language": "Arabic", "was_translated": false }, { "text": "المكرمة, طريقة التقديم, الدفع, قبول موحد الأسئلة الشائعة (Q&A) س: كيف يتم تقديم طلب المكرمة الملكية؟ ج: يتم التقديم إلكترونياً عبر موقع وحدة تنسيق القبول الموحد. س: كم رسوم المكرمة الملكية؟ ج: 5 دنانير أردنية. س: كيف يتم دفع رسوم المكرمة؟ ج: عن طريق خدمة إي-فواتيركم (eFAWATEERcom).", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 4, "language": "Arabic", "was_translated": false }, { "text": "لملكية؟ ج: 5 دنانير أردنية. س: كيف يتم دفع رسوم المكرمة؟ ج: عن طريق خدمة إي-فواتيركم (eFAWATEERcom). القسم 2: شروط الأهلية للمكرمة الملكية السامية 2025 في الأردن المحتوى للاستفادة من المكرمة، يجب أن يكون الطالب أردني الجنسية، ومتقدماً بطلب القبول الموحد إلكترونياً قبل تقديم طلب المكرمة، وحاصلاً على شهادة الثانوية العامة الأردنية لعام 2025 فقط (دراسة منتظمة) بمعدل لا يقل عن 65%.", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 5, "language": "Arabic", "was_translated": false }, { "text": "لمكرمة، وحاصلاً على شهادة الثانوية العامة الأردنية لعام 2025 فقط (دراسة منتظمة) بمعدل لا يقل عن 65%. البيانات الوصفية (Metadata) section: Eligibility intent: eligibility check min grade: 65% year: 2025 keywords: شروط المكرمة, معدل القبول, الثانوية العامة, الأهلية الأسئلة الشائعة (Q&A) س: ما هي شروط الاستفادة من المكرمة الملكية؟", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 6, "language": "Arabic", "was_translated": false }, { "text": "ل القبول, الثانوية العامة, الأهلية الأسئلة الشائعة (Q&A) س: ما هي شروط الاستفادة من المكرمة الملكية؟ ج: أن يكون الطالب أردني الجنسية، متقدم للقبول الموحد، حاصل على توجيهي 2025 بمعدل 65% على الأقل. س: هل يمكن لطلاب السنوات السابقة التقديم؟ ج: لا، فقط طلاب 2025.", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 7, "language": "Arabic", "was_translated": false }, { "text": "على توجيهي 2025 بمعدل 65% على الأقل. س: هل يمكن لطلاب السنوات السابقة التقديم؟ ج: لا، فقط طلاب 2025. القسم 3: شروط الدراسة في المدارس المشمولة أو الرافدة للمكرمة المحتوى يشترط أن يكون الطالب قد أمضى السنتين الأخيرتين في مدرسة مشمولة بالمكرمة، أو أمضى 7 سنوات على الأقل في مدرسة رافدة وانتقل منها لأسباب أكاديمية أو اجتماعية أو رسمية بموافقة اللجنة العليا.", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 8, "language": "Arabic", "was_translated": false }, { "text": "وات على الأقل في مدرسة رافدة وانتقل منها لأسباب أكاديمية أو اجتماعية أو رسمية بموافقة اللجنة العليا. البيانات الوصفية (Metadata) section: Schooling History intent: eligibility check keywords: مدارس مشمولة, مدارس رافدة, سنوات الدراسة الأسئلة الشائعة (Q&A) س: كم سنة يجب أن أدرس في مدرسة مشمولة؟ ج: سنتين دراسيتين أخيرتين. س: ماذا عن المدارس الرافدة؟ ج: يجب الدراسة فيها 7 سنوات على الأقل.", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 9, "language": "Arabic", "was_translated": false }, { "text": "شمولة؟ ج: سنتين دراسيتين أخيرتين. س: ماذا عن المدارس الرافدة؟ ج: يجب الدراسة فيها 7 سنوات على الأقل. القسم 4: الفئات غير المؤهلة للمكرمة الملكية السامية المحتوى لا يستفيد من المكرمة خريجو المدارس الخاصة، ولا طلبة الدراسة الخاصة (غير المنتظمين).", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 10, "language": "Arabic", "was_translated": false }, { "text": "السامية المحتوى لا يستفيد من المكرمة خريجو المدارس الخاصة، ولا طلبة الدراسة الخاصة (غير المنتظمين). البيانات الوصفية (Metadata) section: Eligibility Constraints intent: eligibility check keywords: استثناءات, مدارس خاصة, دراسة خاصة الأسئلة الشائعة (Q&A) س: هل طلاب المدارس الخاصة مشمولين؟ ج: لا، غير مشمولين. س: هل الدراسة الخاصة مشمولة؟ ج: لا، غير مشمولة.", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 11, "language": "Arabic", "was_translated": false }, { "text": "هل طلاب المدارس الخاصة مشمولين؟ ج: لا، غير مشمولين. س: هل الدراسة الخاصة مشمولة؟ ج: لا، غير مشمولة. القسم 5: الوثائق المطلوبة لحالات النقل الخاصة المحتوى في حال انتقال الطالب بسبب عمل ولي الأمر الحكومي ولم يكمل سنتين، يجب تقديم شهادة من جهة العمل توضح سبب وتاريخ النقل. أما طلاب المدارس الرافدة، فيجب تقديم شهادة دراسية مصدقة تبين مدة الدراسة وسبب الانتقال.", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 12, "language": "Arabic", "was_translated": false }, { "text": "تاريخ النقل. أما طلاب المدارس الرافدة، فيجب تقديم شهادة دراسية مصدقة تبين مدة الدراسة وسبب الانتقال. البيانات الوصفية (Metadata) section: Documentation intent: document requirements keywords: وثائق, نقل, مدارس رافدة, موظف حكومي الأسئلة الشائعة (Q&A) س: ما الوثائق المطلوبة إذا انتقلت بسبب عمل ولي الأمر؟ ج: شهادة من جهة العمل توضح سبب وتاريخ النقل. س: ما المطلوب لطلاب المدارس الرافدة؟", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 13, "language": "Arabic", "was_translated": false }, { "text": "سبب عمل ولي الأمر؟ ج: شهادة من جهة العمل توضح سبب وتاريخ النقل. س: ما المطلوب لطلاب المدارس الرافدة؟ ج: شهادة مصدقة تثبت الدراسة وسبب النقل. القسم 6: خطوة تسجيل الدخول لتقديم طلب المكرمة المحتوى يتم الدخول إلى موقع وحدة تنسيق القبول الموحد (admhec.gov.jo) واختيار تقديم طلب المكرمة، ثم إدخال الرقم الوطني وكلمة المرور الخاصة بالقبول الموحد.", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 14, "language": "Arabic", "was_translated": false }, { "text": "(admhec.gov.jo) واختيار تقديم طلب المكرمة، ثم إدخال الرقم الوطني وكلمة المرور الخاصة بالقبول الموحد. البيانات الوصفية (Metadata) section: Application Steps intent: application steps keywords: تسجيل الدخول, رقم وطني, كلمة المرور القسم 7: خطوات التقديم لطلاب المدارس المشمولة المحتوى إذا كان الطالب من المدارس المشمولة، يقوم بتخزين طلب الاستفادة مباشرة بعد الدخول، ثم يحصل على رقم الدفع الإلكتروني.", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 15, "language": "Arabic", "was_translated": false }, { "text": "من المدارس المشمولة، يقوم بتخزين طلب الاستفادة مباشرة بعد الدخول، ثم يحصل على رقم الدفع الإلكتروني. البيانات الوصفية (Metadata) section: Application Steps intent: application steps القسم 8: خطوات التقديم لطلاب المدارس الرافدة المحتوى إذا كان الطالب من المدارس الرافدة، يجب تحميل الشهادات المصدقة أولاً، ثم تخزين الطلب للحصول على رقم الدفع الإلكتروني.", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 16, "language": "Arabic", "was_translated": false }, { "text": "ن المدارس الرافدة، يجب تحميل الشهادات المصدقة أولاً، ثم تخزين الطلب للحصول على رقم الدفع الإلكتروني. البيانات الوصفية (Metadata) section: Application Steps intent: application steps القسم 9: دفع رسوم طلب المكرمة وتفعيل الطلب المحتوى بعد الحصول على رقم الدفع، يجب دفع 5 دنانير عبر إي-فواتيركم. في حال عدم الدفع، لا يعتبر الطلب مكتملاً.", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 17, "language": "Arabic", "was_translated": false }, { "text": "عد الحصول على رقم الدفع، يجب دفع 5 دنانير عبر إي-فواتيركم. في حال عدم الدفع، لا يعتبر الطلب مكتملاً. البيانات الوصفية (Metadata) section: Payment intent: payment keywords: دفع, رقم الدفع, طلب غير مكتمل الأسئلة الشائعة (Q&A) س: متى يعتبر طلب المكرمة غير مكتمل؟ ج: إذا لم يتم دفع الرسوم عبر إي-فواتيركم.", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 18, "language": "Arabic", "was_translated": false }, { "text": "الأسئلة الشائعة (Q&A) س: متى يعتبر طلب المكرمة غير مكتمل؟ ج: إذا لم يتم دفع الرسوم عبر إي-فواتيركم. القسم 10: الاستعلام عن المدارس المشمولة بالمكرمة المحتوى يمكن معرفة المدارس المشمولة بالمكرمة الملكية السامية حسب المحافظة من خلال موقع وحدة تنسيق القبول الموحد. البيانات الوصفية (Metadata) section: Resources intent: information lookup link: https://admhec.gov.jo/RulesRoyalitySchools.", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 19, "language": "Arabic", "was_translated": false }, { "text": "ata) section: Resources intent: information lookup link: https://admhec.gov.jo/RulesRoyalitySchools.aspx القسم 11: رابط تقديم طلب المكرمة الملكية السامية المحتوى يمكن تقديم طلب الاستفادة من المكرمة الملكية السامية عبر الرابط الرسمي لوحدة تنسيق القبول الموحد. البيانات الوصفية (Metadata) section: Application Link intent: application link link: https://admhec.gov.", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 20, "language": "Mixed", "was_translated": false }, { "text": "انات الوصفية (Metadata) section: Application Link intent: application link link: https://admhec.gov.jo/AKLApp2025-2025/ الأسئلة الشائعة (Q&A) س: ما هو رابط تقديم طلب المكرمة؟ ج: https://admhec.gov.jo/AKLApp2025-2025/", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 21, "language": "Mixed", "was_translated": false }, { "text": "25/ الأسئلة الشائعة (Q&A) س: ما هو رابط تقديم طلب المكرمة؟ ج: https://admhec.gov.jo/AKLApp2025-2025/", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 22, "language": "Arabic", "was_translated": false }, { "text": "Institution: King Abdullah II School for Information Technology (KASIT) Program: Bachelor of Artificial Intelligence Total Credits: 132 Course Credit Value: 3 Credit Hours per Course Structure: Courses are organized with prerequisite relationships indicated by arrows.", "source": "study plans.docx", "chunk_id": 1, "language": "English", "was_translated": false }, { "text": "urs per Course Structure: Courses are organized with prerequisite relationships indicated by arrows.", "source": "study plans.docx", "chunk_id": 2, "language": "English", "was_translated": false }, { "text": "University Requirements Seminar (ندوة الطريق إلى احتراف البرمجيات) Calculus 1 Linear Algebra Discrete Mathematics Statistics Foundation Courses Course: Fundamentals of Information Technology (Fund) Credits: 3 Prerequisites: None Course: Computer Ethics Credits: 3 Prerequisites: None Course: Ethics of Artificial Intelligence and Data Science Credits: 3 Prerequisites: None Course: Introduction to", "source": "study plans.docx", "chunk_id": 3, "language": "English", "was_translated": false }, { "text": "s of Artificial Intelligence and Data Science Credits: 3 Prerequisites: None Course: Introduction to Artificial Intelligence Credits: 3 Prerequisites: Fundamentals of IT Course: Algorithms (Algo) Credits: 3 Prerequisites: None Course: Discrete Mathematics Credits: 3 Prerequisites: None Course: Linear Algebra Credits: 3 Prerequisites: Calculus 1 Programming and Systems Courses Course: C++", "source": "study plans.docx", "chunk_id": 4, "language": "English", "was_translated": false }, { "text": "rse: Linear Algebra Credits: 3 Prerequisites: Calculus 1 Programming and Systems Courses Course: C++ Programming Credits: 3 Prerequisites: Fundamentals of IT Course: Object-Oriented Programming (OOP) Credits: 3 Prerequisites: C++ Programming Course: Artificial Intelligence Programming Credits: 3 Prerequisites: Introduction to AI, OOP Course: Data Structures Credits: 3 Prerequisites: OOP Course:", "source": "study plans.docx", "chunk_id": 5, "language": "English", "was_translated": false }, { "text": "Prerequisites: Introduction to AI, OOP Course: Data Structures Credits: 3 Prerequisites: OOP Course: Operating Systems Credits: 3 Prerequisites: Data Structures Course: Computer Networks Credits: 3 Prerequisites: OOP Course: Web Applications Development (WEB) Credits: 3 Prerequisites: OOP Course: Human-Computer Interaction (HCI) Credits: 3 Prerequisites: WEB Course: Embedded Systems Credits: 3", "source": "study plans.docx", "chunk_id": 6, "language": "English", "was_translated": false }, { "text": ": Human-Computer Interaction (HCI) Credits: 3 Prerequisites: WEB Course: Embedded Systems Credits: 3 Prerequisites: Computer Networks Data Science and Intelligent Systems Course: Database Systems (DataBase) Credits: 3 Prerequisites: Data Structures Course: Data Mining Credits: 3 Prerequisites: Database Systems, Statistics Course: Cloud Computing Credits: 3 Prerequisites: Data Mining Course: Big", "source": "study plans.docx", "chunk_id": 7, "language": "English", "was_translated": false }, { "text": "tabase Systems, Statistics Course: Cloud Computing Credits: 3 Prerequisites: Data Mining Course: Big Data Credits: 3 Prerequisites: Data Mining Course: Knowledge Representation and Reasoning (KRR) Credits: 3 Prerequisites: Introduction to AI Course: Ontologies Credits: 3 Prerequisites: KRR Course: Knowledge Management Systems Credits: 3 Prerequisites: Database Systems Course: Business", "source": "study plans.docx", "chunk_id": 8, "language": "English", "was_translated": false }, { "text": "KRR Course: Knowledge Management Systems Credits: 3 Prerequisites: Database Systems Course: Business Intelligence Credits: 3 Prerequisites: Database Systems Artificial Intelligence Core Courses Course: Artificial Intelligence (AI) Credits: 3 Prerequisites: Linear Algebra, Discrete Mathematics, Introduction to AI Course: Machine Learning (ML) Credits: 3 Prerequisites: AI, Statistics, Linear", "source": "study plans.docx", "chunk_id": 9, "language": "English", "was_translated": false }, { "text": "s, Introduction to AI Course: Machine Learning (ML) Credits: 3 Prerequisites: AI, Statistics, Linear Algebra Course: Deep Learning Credits: 3 Prerequisites: Machine Learning Course: Natural Language Processing (NLP) Credits: 3 Prerequisites: AI, Linear Algebra Course: Computer Vision Credits: 3 Prerequisites: Machine Learning Course: Pattern Recognition Credits: 3 Prerequisites: AI, Statistics", "source": "study plans.docx", "chunk_id": 10, "language": "English", "was_translated": false }, { "text": "Prerequisites: Machine Learning Course: Pattern Recognition Credits: 3 Prerequisites: AI, Statistics Course: Intelligent Robotics Credits: 3 Prerequisites: Embedded Systems, AI Course: Game AI Credits: 3 Prerequisites: AI Course: Cognitive Computing Credits: 3 Prerequisites: AI Course: Digital Image Processing Credits: 3 Prerequisites: Linear Algebra Course: Arabic Language Processing Credits: 3", "source": "study plans.docx", "chunk_id": 11, "language": "English", "was_translated": false }, { "text": "ge Processing Credits: 3 Prerequisites: Linear Algebra Course: Arabic Language Processing Credits: 3 Prerequisites: NLP Internet of Things and Advanced Topics Course: Internet of Things (IoT) Credits: 3 Prerequisites: Networks, Embedded Systems Course: Social Network Analysis Credits: 3 Prerequisites: Data Mining Course: Information Retrieval and Search Engines Credits: 3 Prerequisites: Data", "source": "study plans.docx", "chunk_id": 12, "language": "English", "was_translated": false }, { "text": "uisites: Data Mining Course: Information Retrieval and Search Engines Credits: 3 Prerequisites: Data Mining Course: Bioinformatics Credits: 3 Prerequisites: Data Analysis Foundations Course: Medical Data Analytics Credits: 3 Prerequisites: Data Mining Course: Virtual Reality (VR) Credits: 3 Prerequisites: Computer Vision Course: Mobile Application Development Frameworks Credits: 3 Prerequisites:", "source": "study plans.docx", "chunk_id": 13, "language": "English", "was_translated": false }, { "text": "uisites: Computer Vision Course: Mobile Application Development Frameworks Credits: 3 Prerequisites: OOP Course: Advanced Topics in AI Credits: 3 Prerequisites: AI Supporting Courses Course: Software Engineering Credits: 3 Prerequisites: Data Structures Course: Information Security Credits: 3 Prerequisites: Computer Networks Course: Network Security Credits: 3 Prerequisites: Computer Networks", "source": "study plans.docx", "chunk_id": 14, "language": "English", "was_translated": false }, { "text": "rerequisites: Computer Networks Course: Network Security Credits: 3 Prerequisites: Computer Networks Course: Systems Analysis and Design Credits: 3 Prerequisites: Software Engineering Course: Innovation and Entrepreneurship (ITE) Credits: 3 Prerequisites: None Course: NoSQL Databases Credits: 3 Prerequisites: Database Systems Course: Database Tools Credits: 3 Prerequisites: Database Systems", "source": "study plans.docx", "chunk_id": 15, "language": "English", "was_translated": false }, { "text": "3 Prerequisites: Database Systems Course: Database Tools Credits: 3 Prerequisites: Database Systems Graduation Requirements Course: Practical Training Credits: 3 Prerequisites: Completion of 90 Credit Hours Course: Graduation Project 1 Credits: 3 Prerequisites: Completion of 90 Credit Hours Course: Graduation Project 2 Credits: 3 Prerequisites: Graduation Project 1", "source": "study plans.docx", "chunk_id": 16, "language": "English", "was_translated": false }, { "text": "etion of 90 Credit Hours Course: Graduation Project 2 Credits: 3 Prerequisites: Graduation Project 1", "source": "study plans.docx", "chunk_id": 17, "language": "English", "was_translated": false }, { "text": "مكرمة المعلمين في الأردن Teachers' Grant Guidelines (Jordan) Category: Makruma Al-Moalimeen Published Date: 2024 Last Updated: 2026-04-13 Prepared for Retrieval-Augmented Generation (RAG) Systems TEACHERS 101: شروط الاستفادة الأساسية من مكرمة المعلمين Document Information Source: Teachers' Grant FAQ and Conditions Language: ar Last Updated: 2026-04-13 Search Optimization Text شروط مكرمة المعلمين", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 1, "language": "Mixed", "was_translated": false }, { "text": "AQ and Conditions Language: ar Last Updated: 2026-04-13 Search Optimization Text شروط مكرمة المعلمين وزارة التربية والتعليم العمر 21 سنة الجنسية أردني ثانوية عامة نفس السنة معدل تنافسي Main Content للاستفادة من مكرمة المعلمين يجب توافر عدة شروط: 1) ألا تقل مدة خدمة والد أو والدة المتقدم في وزارة التربية والتعليم عن 5 سنوات دراسية، ويُستثنى من ذلك الموظف المتوفى وهو على رأس عمله أو من أُنهيت خدمته", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 2, "language": "Arabic", "was_translated": false }, { "text": "تربية والتعليم عن 5 سنوات دراسية، ويُستثنى من ذلك الموظف المتوفى وهو على رأس عمله أو من أُنهيت خدمته لعدم اللياقة الصحية. 2) أن يكون الطالب أردني الجنسية. 3) الحصول على شهادة الثانوية العامة الأردنية أو ما يعادلها لنفس سنة التقديم (لا تقبل شهادات السنوات السابقة). 4) ألا يزيد عمر المتقدم عن 21 عاماً حتى اليوم الأخير من شهر كانون الأول لسنة التقديم.", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 3, "language": "Arabic", "was_translated": false }, { "text": "نوات السابقة). 4) ألا يزيد عمر المتقدم عن 21 عاماً حتى اليوم الأخير من شهر كانون الأول لسنة التقديم. 5) ألا يكون حاصلاً على منحة أو بعثة من أي جهة أخرى. 6) أن يكون معدل الطالب ضمن المعدلات التنافسية التي تقبلها المكرمة، والتي تختلف من محافظة لأخرى.", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 4, "language": "Arabic", "was_translated": false }, { "text": "خرى. 6) أن يكون معدل الطالب ضمن المعدلات التنافسية التي تقبلها المكرمة، والتي تختلف من محافظة لأخرى.", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 5, "language": "Arabic", "was_translated": false }, { "text": "Metadata intent: eligibility min service years: 5 max age: 21 entities: - organization: وزارة التربية والتعليم - program: مكرمة المعلمين - target audience: الطلبة الأردنيين keywords: شروط, مكرمة المعلمين, العمر, خدمة, التربية والتعليم, معدل تنافسي Frequently Asked Questions (Q&A) Q: كم عدد سنوات الخدمة المطلوبة لوالد أو والدة الطالب للاستفادة من مكرمة المعلمين؟", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 6, "language": "Mixed", "was_translated": false }, { "text": "d Questions (Q&A) Q: كم عدد سنوات الخدمة المطلوبة لوالد أو والدة الطالب للاستفادة من مكرمة المعلمين؟ A: يُشترط ألا تقل مدة الخدمة في وزارة التربية والتعليم عن 5 سنوات دراسية، باستثناء حالات الوفاة على رأس العمل أو إنهاء الخدمة لأسباب صحية. Short Answer: 5 سنوات خدمة على الأقل Q: هل يمكن التقديم لمكرمة المعلمين بشهادة ثانوية من سنوات سابقة؟", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 7, "language": "Arabic", "was_translated": false }, { "text": "hort Answer: 5 سنوات خدمة على الأقل Q: هل يمكن التقديم لمكرمة المعلمين بشهادة ثانوية من سنوات سابقة؟ A: لا، يُشترط أن تكون شهادة الثانوية العامة أردنية لنفس سنة التقديم فقط. Short Answer: لا، فقط لشهادة نفس السنة Q: ما هو العمر الأقصى المسموح به للتقديم على مكرمة أبناء المعلمين؟ A: يجب ألا يزيد عمر الطالب عن 21 سنة حتى اليوم الأخير من شهر كانون الأول للسنة التي يتقدم فيها.", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 8, "language": "Arabic", "was_translated": false }, { "text": "مين؟ A: يجب ألا يزيد عمر الطالب عن 21 سنة حتى اليوم الأخير من شهر كانون الأول للسنة التي يتقدم فيها.", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 9, "language": "Arabic", "was_translated": false }, { "text": "Short Answer: 21 سنة كحد أقصى TEACHERS 102: آلية التقديم لمكرمة المعلمين Document Information Source: Teachers' Grant FAQ and Conditions Language: ar Last Updated: 2026-04-13 Search Optimization Text طريقة تقديم مكرمة المعلمين القبول الموحد الرقم الوزاري مراجعة الوزارة تسجيل Main Content يتم التقديم لمكرمة المعلمين إلكترونياً وبشكل تلقائي من خلال طلب القبول الموحد، ولا توجد أي حاجة لمراجعة وزارة", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 10, "language": "Arabic", "was_translated": false }, { "text": "يم لمكرمة المعلمين إلكترونياً وبشكل تلقائي من خلال طلب القبول الموحد، ولا توجد أي حاجة لمراجعة وزارة التربية والتعليم. بعد تعبئة البيانات تظهر نافذة تؤكد الاستفادة، ويُطلب إدخال الرقم الوزاري للوالد أو الوالدة.", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 11, "language": "Arabic", "was_translated": false }, { "text": "التعليم. بعد تعبئة البيانات تظهر نافذة تؤكد الاستفادة، ويُطلب إدخال الرقم الوزاري للوالد أو الوالدة. Metadata intent: application steps required input: الرقم الوزاري entities: - platform: موقع وحدة تنسيق القبول الموحد keywords: القبول الموحد, الرقم الوزاري, آلية التقديم, تسجيل المكرمة Frequently Asked Questions (Q&A) Q: كيف أقدم طلب للاستفادة من مكرمة أبناء المعلمين؟", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 12, "language": "Arabic", "was_translated": false }, { "text": "م, تسجيل المكرمة Frequently Asked Questions (Q&A) Q: كيف أقدم طلب للاستفادة من مكرمة أبناء المعلمين؟ A: التقديم يكون إلكترونياً من خلال طلب القبول الموحد. Short Answer: إلكترونياً عبر القبول الموحد Q: هل أحتاج لمراجعة وزارة التربية والتعليم؟ A: لا، التقديم إلكتروني بالكامل.", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 13, "language": "Arabic", "was_translated": false }, { "text": "ونياً عبر القبول الموحد Q: هل أحتاج لمراجعة وزارة التربية والتعليم؟ A: لا، التقديم إلكتروني بالكامل.", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 14, "language": "Arabic", "was_translated": false }, { "text": "Short Answer: لا، التقديم إلكتروني بالكامل TEACHERS 103: تفاصيل المقاعد والمنفعة والمخصصات المالية Document Information Source: Teachers' Grant FAQ and Conditions Language: ar Last Updated: 2026-04-13 Search Optimization Text شو بتغطي مكرمة المعلمين رسوم الساعات مخصصات مالية بدل كتب Main Content تتكفل مكرمة المعلمين بدفع رسوم الساعات الدراسية لخطة التخصص فقط، بينما يتحمل الطالب رسوم الإعادة.", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 15, "language": "Arabic", "was_translated": false }, { "text": "nt تتكفل مكرمة المعلمين بدفع رسوم الساعات الدراسية لخطة التخصص فقط، بينما يتحمل الطالب رسوم الإعادة. كما يُصرف بدل كتب بقيمة 98 ديناراً للفصل الأول، و78 ديناراً للفصل الثاني، و18 ديناراً للفصل الصيفي.", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 16, "language": "Arabic", "was_translated": false }, { "text": "كما يُصرف بدل كتب بقيمة 98 ديناراً للفصل الأول، و78 ديناراً للفصل الثاني، و18 ديناراً للفصل الصيفي. 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Short Answer: لا Q: كم يبلغ بدل الكتب؟ A: 98 ديناراً للفصل الأول، 78 للفصل الثاني، و18 للفصل الصيفي.", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 18, "language": "Arabic", "was_translated": false }, { "text": "Short Answer: لا Q: كم يبلغ بدل الكتب؟ A: 98 ديناراً للفصل الأول، 78 للفصل الثاني، و18 للفصل الصيفي.", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 19, "language": "Arabic", "was_translated": false }, { "text": "Short Answer: 98، 78، 18 ديناراً TEACHERS 104: معرفة نتائج القبول والدفعات Document Information Source: Teachers' Grant FAQ and Conditions Language: ar Last Updated: 2026-04-13 Search Optimization Text نتائج مكرمة المعلمين مسج القبول دفعات Main Content يتم إشعار المقبولين في مكرمة المعلمين عبر رسائل نصية (SMS)، وتصل عادة بعد حوالي أربعة أيام من نتائج القبول الموحد، ويتم القبول على دفعات متعددة.", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 20, "language": "Mixed", "was_translated": false }, { "text": "ائل نصية (SMS)، وتصل عادة بعد حوالي أربعة أيام من نتائج القبول الموحد، ويتم القبول على دفعات متعددة. Metadata intent: acceptance notification notification method: SMS keywords: رسالة نصية, نتائج القبول, دفعات Frequently Asked Questions (Q&A) Q: كيف أعرف أنني قُبلت في المكرمة؟ A: عبر رسالة نصية (SMS).", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 21, "language": "Mixed", "was_translated": false }, { "text": ", دفعات Frequently Asked Questions (Q&A) Q: كيف أعرف أنني قُبلت في المكرمة؟ A: عبر رسالة نصية (SMS).", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 22, "language": "Mixed", "was_translated": false }, { "text": "Short Answer: عبر رسالة SMS TEACHERS 105: إجراءات ما بعد القبول Document Information Source: Teachers' Grant FAQ and Conditions Language: ar Last Updated: 2026-04-13 Search Optimization Text أوراق مكرمة المعلمين كفالة عدلية عقد بعثة استرداد الرسوم Main Content بعد القبول يجب استكمال عقد البعثة والكفالة العدلية. كما يدفع الطالب رسوم الفصل الأول ويتم استردادها لاحقاً.", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 23, "language": "Mixed", "was_translated": false }, { "text": "بول يجب استكمال عقد البعثة والكفالة العدلية. كما يدفع الطالب رسوم الفصل الأول ويتم استردادها لاحقاً. ويمكن تحويل المكرمة مع الطالب عند تغيير التخصص بعد مراجعة مكتب المكرمة في الجامعة. Metadata intent: post acceptance procedures required documents: عقد البعثة, كفالة عدلية keywords: استرداد الرسوم, تحويل التخصص, كفالة عدلية Frequently Asked Questions (Q&A) Q: ما هي الأوراق المطلوبة بعد القبول؟", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 24, "language": "Arabic", "was_translated": false }, { "text": "وم, تحويل التخصص, كفالة عدلية Frequently Asked Questions (Q&A) Q: ما هي الأوراق المطلوبة بعد القبول؟ A: عقد البعثة والكفالة العدلية. Short Answer: عقد بعثة وكفالة عدلية Q: هل يتم استرداد رسوم الفصل الأول؟ A: نعم، يتم استردادها بنهاية الفصل. Short Answer: نعم", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 25, "language": "Arabic", "was_translated": false }, { "text": "فالة عدلية Q: هل يتم استرداد رسوم الفصل الأول؟ A: نعم، يتم استردادها بنهاية الفصل. Short Answer: نعم", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 26, "language": "Arabic", "was_translated": false }, { "text": "التقويم الأكاديمي الجامعة الأردنية الفصل الثاني 2025 2026 تم إعداد هذا المستند بصيغة نصية منظمة لتسهيل تحويله إلى JSON واستخدامه في أنظمة الاسترجاع المعزّز بالتوليد (RAG).", "source": "uni_cal.docx", "chunk_id": 1, "language": "Arabic", "was_translated": false }, { "text": "المستند بصيغة نصية منظمة لتسهيل تحويله إلى JSON واستخدامه في أنظمة الاسترجاع المعزّز بالتوليد (RAG).", "source": "uni_cal.docx", "chunk_id": 2, "language": "Arabic", "was_translated": false }, { "text": "CHUNK 1: معلومات الفصل الحالي العنوان: الفصل الحالي الفصل الدراسي: الفصل الثاني 2025 2026 المؤسسة: الجامعة الأردنية النوع: التقويم الأكاديمي اللغة: العربية CHUNK 2: بداية الفصل والإجراءات الأكاديمية بدء الدوام الرسمي لأعضاء الهيئة التدريسية في الفصل الثاني 2025/2026 التاريخ: 15/02/2026 اليوم: الأحد أسبوع السحب والإضافة من تاريخ: 15/02/2026 إلى تاريخ: 19/02/2026 الأيام: الأحد الخميس بدء التدريس", "source": "uni_cal.docx", "chunk_id": 3, "language": "Arabic", "was_translated": false }, { "text": "أحد أسبوع السحب والإضافة من تاريخ: 15/02/2026 إلى تاريخ: 19/02/2026 الأيام: الأحد الخميس بدء التدريس في الفصل الثاني 2025/2026 التاريخ: 22/02/2026 اليوم: الأحد أسبوع الاكتمال من تاريخ: 22/02/2026 إلى تاريخ: 26/02/2026 الأيام: الأحد الخميس CHUNK 3: العطل الرسمية خلال الفصل عيد الفطر المبارك (تقديراً) من تاريخ: 20/03/2026 إلى تاريخ: 23/03/2026 الأيام: الجمعة الاثنين عيد العمال التاريخ: 01/05/2026", "source": "uni_cal.docx", "chunk_id": 4, "language": "Arabic", "was_translated": false }, { "text": "اً) من تاريخ: 20/03/2026 إلى تاريخ: 23/03/2026 الأيام: الجمعة الاثنين عيد العمال التاريخ: 01/05/2026 اليوم: الجمعة عيد الاستقلال التاريخ: 25/05/2026 اليوم: الاثنين عيد الأضحى المبارك (تقديراً) من تاريخ: 26/05/2026 إلى تاريخ: 30/05/2026 الأيام: الثلاثاء السبت رأس السنة الهجرية (تقديراً) التاريخ: 16/06/2026 اليوم: الثلاثاء CHUNK 4: الامتحانات والتسجيل الفترة التي يتم خلالها إجراء امتحان منتصف الفصل", "source": "uni_cal.docx", "chunk_id": 5, "language": "Arabic", "was_translated": false }, { "text": "06/2026 اليوم: الثلاثاء CHUNK 4: الامتحانات والتسجيل الفترة التي يتم خلالها إجراء امتحان منتصف الفصل الثاني 2025/2026 من تاريخ: 12/04/2026 إلى تاريخ: 23/04/2026 الأيام: الأحد الخميس بدء التسجيل على مواد الفصل الصيفي 2025/2026 التاريخ: 26/04/2026 اليوم: الأحد آخر يوم للتدريس في الفصل الثاني 2025/2026 التاريخ: 07/06/2026 اليوم: الأحد آخر موعد للانسحاب من دراسة المواد أو من الفصل الدراسي الثاني", "source": "uni_cal.docx", "chunk_id": 6, "language": "Arabic", "was_translated": false }, { "text": "5/2026 التاريخ: 07/06/2026 اليوم: الأحد آخر موعد للانسحاب من دراسة المواد أو من الفصل الدراسي الثاني 2025/2026 (البكالوريوس + الدراسات العليا) التاريخ: 08/06/2026 اليوم: الاثنين الامتحانات النهائية للفصل الثاني 2025/2026 من تاريخ: 09/06/2026 إلى تاريخ: 22/06/2026 الأيام: الثلاثاء الاثنين CHUNK 5: تسليم النتائج ومنح الدرجات إجازة ما بين الفصلين للطلبة من تاريخ: 23/06/2026 إلى تاريخ: 09/07/2026", "source": "uni_cal.docx", "chunk_id": 7, "language": "Arabic", "was_translated": false }, { "text": "5: تسليم النتائج ومنح الدرجات إجازة ما بين الفصلين للطلبة من تاريخ: 23/06/2026 إلى تاريخ: 09/07/2026 الأيام: الثلاثاء الخميس آخر موعد لتسليم عضو هيئة التدريس نتائج الامتحانات إلى الكلية الساعة الواحدة ظهراً التاريخ: 23/06/2026 اليوم: الثلاثاء آخر موعد لتقديم نتائج امتحانات الفصل الثاني 2025/2026 إلى وحدة القبول والتسجيل الساعة الواحدة ظهراً التاريخ: 24/06/2026 اليوم: الأربعاء آخر موعد لتقديم", "source": "uni_cal.docx", "chunk_id": 8, "language": "Arabic", "was_translated": false }, { "text": "26 إلى وحدة القبول والتسجيل الساعة الواحدة ظهراً التاريخ: 24/06/2026 اليوم: الأربعاء آخر موعد لتقديم تنسيب مجالس الكليات بمنح الدرجات العلمية والشهادات إلى مجلس العمداء التاريخ: 24/06/2026 اليوم: الأربعاء قرار مجلس العمداء بمنح الدرجات العلمية والشهادات التاريخ: 29/06/2026 اليوم: الاثنين CHUNK 6: التخرج ونهاية العام الأكاديمي أسبوع التخرج، وعلى جميع أعضاء الهيئة التدريسية حضور حفل تخريج الطلبة", "source": "uni_cal.docx", "chunk_id": 9, "language": "Arabic", "was_translated": false }, { "text": ": التخرج ونهاية العام الأكاديمي أسبوع التخرج، وعلى جميع أعضاء الهيئة التدريسية حضور حفل تخريج الطلبة خلال أسبوع التخرج من تاريخ: 30/07/2026 إلى تاريخ: 08/08/2026 الأيام: الخميس السبت", "source": "uni_cal.docx", "chunk_id": 10, "language": "Arabic", "was_translated": false }, { "text": "ر حفل تخريج الطلبة خلال أسبوع التخرج من تاريخ: 30/07/2026 إلى تاريخ: 08/08/2026 الأيام: الخميس السبت", "source": "uni_cal.docx", "chunk_id": 11, "language": "Arabic", "was_translated": false }, { "text": "University of Jordan IT Faculty Admissions & Fees Guide Source: University of Jordan Majors and Fees Guide Category: IT Faculty Admissions & Fees Published Date: 2024 Prepared for Retrieval-Augmented Generation (RAG) Systems Table of Contents 1. Overview of the IT Faculty 2. Computer Science (CS) Fees 3. Computer Information Systems (CIS) Fees 4. Business Information Technology (BIT) Fees 5.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 1, "language": "English", "was_translated": false }, { "text": "CS) Fees 3. Computer Information Systems (CIS) Fees 4. Business Information Technology (BIT) Fees 5. Data Science (DS) Fees 6. Artificial Intelligence (AI) Fees 7.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 2, "language": "English", "was_translated": false }, { "text": "Information Technology (BIT) Fees 5. Data Science (DS) Fees 6. Artificial Intelligence (AI) Fees 7.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 3, "language": "English", "was_translated": false }, { "text": "Cyber Security (CYS) Fees IT 101: معلومات عامة: كلية الملك عبد الله الثاني لتكنولوجيا المعلومات (IT) Search Optimization Text كلية الملك عبد الله الثاني لتكنولوجيا المعلومات IT الجامعة الأردنية معدل القبول شروط الساعات تكنولوجيا معلومات Main Content الحد الأدنى لمعدل الثانوية العامة المطلوب للقبول في جميع تخصصات كلية الملك عبد الله الثاني لتكنولوجيا المعلومات (IT) هو 65%.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 4, "language": "Arabic", "was_translated": false }, { "text": "ية العامة المطلوب للقبول في جميع تخصصات كلية الملك عبد الله الثاني لتكنولوجيا المعلومات (IT) هو 65%. كما أن عدد ساعات الخطة الدراسية لجميع تخصصات الكلية هو 132 ساعة معتمدة.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 5, "language": "Arabic", "was_translated": false }, { "text": "لوجيا المعلومات (IT) هو 65%. كما أن عدد ساعات الخطة الدراسية لجميع تخصصات الكلية هو 132 ساعة معتمدة. Metadata faculty: IT major: All IT Majors intent: faculty overview min grade percentage: 65 credit hours: 132 keywords: تكنولوجيا المعلومات, كلية الـ IT, معدل القبول, عدد الساعات Frequently Asked Questions (Q&A) Q: كم الحد الأدنى للقبول في تخصصات كلية تكنولوجيا المعلومات؟", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 6, "language": "Mixed", "was_translated": false }, { "text": "لساعات Frequently Asked Questions (Q&A) Q: كم الحد الأدنى للقبول في تخصصات كلية تكنولوجيا المعلومات؟ A: الحد الأدنى للقبول في جميع تخصصات الكلية هو 65%. Q: كم عدد الساعات المطلوبة لتخرج طالب الـ IT؟ A: عدد الساعات لجميع تخصصات تكنولوجيا المعلومات هو 132 ساعة معتمدة.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 7, "language": "Arabic", "was_translated": false }, { "text": "اعات المطلوبة لتخرج طالب الـ IT؟ A: عدد الساعات لجميع تخصصات تكنولوجيا المعلومات هو 132 ساعة معتمدة.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 8, "language": "Arabic", "was_translated": false }, { "text": "IT 102: تخصص علم الحاسوب (Computer Science) - رسوم الساعات Search Optimization Text رسوم علم الحاسوب الجامعة الأردنية CS fees Jordan University تنافس عادي موازي دولي سعر الساعة Main Content رسوم الساعات المعتمدة لتخصص علم الحاسوب في الجامعة الأردنية: 47 دينار للبرنامج العادي، 90 دينار لبرنامج الموازي الأردني، 120 دينار للموازي غير الأردني، و190 دولار للبرنامج الدولي.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 9, "language": "Arabic", "was_translated": false }, { "text": "العادي، 90 دينار لبرنامج الموازي الأردني، 120 دينار للموازي غير الأردني، و190 دولار للبرنامج الدولي.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 10, "language": "Arabic", "was_translated": false }, { "text": "Metadata faculty: IT major: Computer Science major code: CS intent: major fees structured fees: - regular jod: 47 - parallel jordanian jod: 90 - parallel non jordanian jod: 120 - international usd: 190 keywords: علم الحاسوب, Computer Science, رسوم, CS Frequently Asked Questions (Q&A) Q: كم سعر ساعة علم الحاسوب تنافس (عادي)؟ A: سعر ساعة علم الحاسوب للبرنامج العادي هو 47 دينار.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 11, "language": "Mixed", "was_translated": false }, { "text": "(Q&A) Q: كم سعر ساعة علم الحاسوب تنافس (عادي)؟ A: سعر ساعة علم الحاسوب للبرنامج العادي هو 47 دينار. Q: كم رسوم ساعة علم الحاسوب موازي أردني؟ A: سعر ساعة الموازي لتخصص علم الحاسوب للشهادة الأردنية هو 90 دينار.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 12, "language": "Arabic", "was_translated": false }, { "text": "وم ساعة علم الحاسوب موازي أردني؟ A: سعر ساعة الموازي لتخصص علم الحاسوب للشهادة الأردنية هو 90 دينار.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 13, "language": "Arabic", "was_translated": false }, { "text": "IT 103: تخصص أنظمة المعلومات الحاسوبية (CIS) - رسوم الساعات Search Optimization Text رسوم أنظمة المعلومات الحاسوبية الجامعة الأردنية CIS fees Jordan University تنافس عادي موازي دولي سعر الساعة Main Content رسوم الساعات المعتمدة لتخصص أنظمة المعلومات الحاسوبية في الجامعة الأردنية: 47 دينار للبرنامج العادي، 90 دينار لبرنامج الموازي الأردني، 120 دينار للموازي غير الأردني، و190 دولار للبرنامج الدولي.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 14, "language": "Arabic", "was_translated": false }, { "text": "العادي، 90 دينار لبرنامج الموازي الأردني، 120 دينار للموازي غير الأردني، و190 دولار للبرنامج الدولي.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 15, "language": "Arabic", "was_translated": false }, { "text": "Metadata faculty: IT major: Computer Information Systems major code: CIS intent: major fees structured fees: - regular jod: 47 - parallel jordanian jod: 90 - parallel non jordanian jod: 120 - international usd: 190 keywords: أنظمة المعلومات الحاسوبية, CIS, رسوم Frequently Asked Questions (Q&A) Q: كم رسوم تخصص أنظمة المعلومات الحاسوبية للبرنامج الدولي؟", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 16, "language": "Mixed", "was_translated": false }, { "text": "IS, رسوم Frequently Asked Questions (Q&A) Q: كم رسوم تخصص أنظمة المعلومات الحاسوبية للبرنامج الدولي؟ A: رسوم البرنامج الدولي لتخصص أنظمة المعلومات الحاسوبية هي 190 دولار للساعة.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 17, "language": "Arabic", "was_translated": false }, { "text": "اسوبية للبرنامج الدولي؟ A: رسوم البرنامج الدولي لتخصص أنظمة المعلومات الحاسوبية هي 190 دولار للساعة.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 18, "language": "Arabic", "was_translated": false }, { "text": "IT 104: تخصص تكنولوجيا معلومات الأعمال (BIT) - رسوم الساعات Search Optimization Text رسوم تكنولوجيا معلومات الأعمال الجامعة الأردنية BIT fees Jordan University تنافس عادي موازي دولي سعر الساعة Main Content رسوم الساعات المعتمدة لتخصص تكنولوجيا معلومات الأعمال في الجامعة الأردنية: 60 دينار للبرنامج العادي، 90 دينار لبرنامج الموازي الأردني، 120 دينار للموازي غير الأردني، و190 دولار للبرنامج الدولي.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 19, "language": "Arabic", "was_translated": false }, { "text": "العادي، 90 دينار لبرنامج الموازي الأردني، 120 دينار للموازي غير الأردني، و190 دولار للبرنامج الدولي.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 20, "language": "Arabic", "was_translated": false }, { "text": "Metadata faculty: IT major: Business Information Technology major code: BIT intent: major fees structured fees: - regular jod: 60 - parallel jordanian jod: 90 - parallel non jordanian jod: 120 - international usd: 190 keywords: تكنولوجيا معلومات الأعمال, BIT, رسوم Frequently Asked Questions (Q&A) Q: كم سعر ساعة تكنولوجيا معلومات الأعمال في البرنامج العادي؟", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 21, "language": "Mixed", "was_translated": false }, { "text": ", رسوم Frequently Asked Questions (Q&A) Q: كم سعر ساعة تكنولوجيا معلومات الأعمال في البرنامج العادي؟ A: سعر ساعة تكنولوجيا معلومات الأعمال للبرنامج العادي هو 60 دينار.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 22, "language": "Arabic", "was_translated": false }, { "text": "لومات الأعمال في البرنامج العادي؟ A: سعر ساعة تكنولوجيا معلومات الأعمال للبرنامج العادي هو 60 دينار.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 23, "language": "Arabic", "was_translated": false }, { "text": "IT 105: تخصص علم البيانات (Data Science) - رسوم الساعات Search Optimization Text رسوم علم البيانات الجامعة الأردنية Data Science fees Jordan University داتا تنافس عادي موازي دولي سعر الساعة Main Content رسوم الساعات المعتمدة لتخصص علم البيانات في الجامعة الأردنية: 70 دينار للبرنامج العادي، 100 دينار لبرنامج الموازي الأردني، 120 دينار للموازي غير الأردني، و215 دولار للبرنامج الدولي.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 24, "language": "Arabic", "was_translated": false }, { "text": "لعادي، 100 دينار لبرنامج الموازي الأردني، 120 دينار للموازي غير الأردني، و215 دولار للبرنامج الدولي.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 25, "language": "Arabic", "was_translated": false }, { "text": "Metadata faculty: IT major: Data Science major code: DS intent: major fees structured fees: - regular jod: 70 - parallel jordanian jod: 100 - parallel non jordanian jod: 120 - international usd: 215 keywords: علم البيانات, Data Science, رسوم, داتا Frequently Asked Questions (Q&A) Q: كم رسوم ساعة علم البيانات موازي للشهادة الأردنية؟ A: رسوم ساعة علم البيانات للموازي (شهادة أردنية) هي 100 دينار.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 26, "language": "Mixed", "was_translated": false }, { "text": "علم البيانات موازي للشهادة الأردنية؟ A: رسوم ساعة علم البيانات للموازي (شهادة أردنية) هي 100 دينار. Q: كم سعر ساعة علم البيانات تنافس؟ A: سعر ساعة علم البيانات للبرنامج العادي (تنافس) هو 70 دينار.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 27, "language": "Arabic", "was_translated": false }, { "text": "ار. Q: كم سعر ساعة علم البيانات تنافس؟ A: سعر ساعة علم البيانات للبرنامج العادي (تنافس) هو 70 دينار.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 28, "language": "Arabic", "was_translated": false }, { "text": "IT 106: تخصص الذكاء الاصطناعي (Artificial Intelligence) - رسوم الساعات Search Optimization Text رسوم الذكاء الاصطناعي الجامعة الأردنية AI fees Jordan University تنافس عادي موازي دولي سعر الساعة Main Content رسوم الساعات المعتمدة لتخصص الذكاء الاصطناعي في الجامعة الأردنية: 70 دينار للبرنامج العادي، 100 دينار لبرنامج الموازي الأردني، 120 دينار للموازي غير الأردني، و215 دولار للبرنامج الدولي.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 29, "language": "Arabic", "was_translated": false }, { "text": "لعادي، 100 دينار لبرنامج الموازي الأردني، 120 دينار للموازي غير الأردني، و215 دولار للبرنامج الدولي.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 30, "language": "Arabic", "was_translated": false }, { "text": "Metadata faculty: IT major: Artificial Intelligence major code: AI intent: major fees structured fees: - regular jod: 70 - parallel jordanian jod: 100 - parallel non jordanian jod: 120 - international usd: 215 keywords: الذكاء الاصطناعي, AI, رسوم Frequently Asked Questions (Q&A) Q: كم تبلغ رسوم تخصص الذكاء الاصطناعي للبرنامج الدولي؟ A: تبلغ رسوم ساعة الذكاء الاصطناعي للبرنامج الدولي 215 دولار.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 31, "language": "Mixed", "was_translated": false }, { "text": "تخصص الذكاء الاصطناعي للبرنامج الدولي؟ A: تبلغ رسوم ساعة الذكاء الاصطناعي للبرنامج الدولي 215 دولار. Q: كم سعر ساعة الذكاء الاصطناعي عادي (تنافس)؟ A: سعر ساعة الذكاء الاصطناعي للبرنامج العادي هو 70 دينار.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 32, "language": "Arabic", "was_translated": false }, { "text": "كم سعر ساعة الذكاء الاصطناعي عادي (تنافس)؟ A: سعر ساعة الذكاء الاصطناعي للبرنامج العادي هو 70 دينار.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 33, "language": "Arabic", "was_translated": false }, { "text": "IT 107: تخصص الأمن السيبراني (Cyber Security) - رسوم الساعات Search Optimization Text رسوم الأمن السيبراني الجامعة الأردنية Cyber Security fees Jordan University سيبراني تنافس عادي موازي دولي سعر الساعة Main Content رسوم الساعات المعتمدة لتخصص الأمن السيبراني في الجامعة الأردنية: 60 دينار للبرنامج العادي، 100 دينار لبرنامج الموازي الأردني، 120 دينار للموازي غير الأردني، و215 دولار للبرنامج", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 34, "language": "Arabic", "was_translated": false }, { "text": "برنامج العادي، 100 دينار لبرنامج الموازي الأردني، 120 دينار للموازي غير الأردني، و215 دولار للبرنامج الدولي.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 35, "language": "Arabic", "was_translated": false }, { "text": "لعادي، 100 دينار لبرنامج الموازي الأردني، 120 دينار للموازي غير الأردني، و215 دولار للبرنامج الدولي.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 36, "language": "Arabic", "was_translated": false }, { "text": "Metadata faculty: IT major: Cyber Security major code: CYS intent: major fees structured fees: - regular jod: 60 - parallel jordanian jod: 100 - parallel non jordanian jod: 120 - international usd: 215 keywords: الأمن السيبراني, Cyber Security, رسوم, سيبراني Frequently Asked Questions (Q&A) Q: كم سعر ساعة الأمن السيبراني في البرنامج العادي والموازي؟", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 37, "language": "Mixed", "was_translated": false }, { "text": "سيبراني Frequently Asked Questions (Q&A) Q: كم سعر ساعة الأمن السيبراني في البرنامج العادي والموازي؟ A: سعر ساعة الأمن السيبراني هو 60 دينار للبرنامج العادي، و100 دينار لبرنامج الموازي (شهادة أردنية).", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 38, "language": "Arabic", "was_translated": false }, { "text": "A: سعر ساعة الأمن السيبراني هو 60 دينار للبرنامج العادي، و100 دينار لبرنامج الموازي (شهادة أردنية).", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 39, "language": "Arabic", "was_translated": false }, { "text": "أولاً: قسم الذكاء الاصطناعي (Artificial Intelligence - AI) تعمل الدكتورة ربى عبيدات في قسم الذكاء الاصطناعي (AI) وتشغل منصب رئيس قسم الذكاء الاصطناعي، ويمكن التواصل معها عبر البريد الإلكتروني r.obiedat@ju.edu.jo. يعمل الدكتور تمام السرحان في قسم الذكاء الاصطناعي (AI)، ويمكن التواصل معه عبر البريد الإلكتروني t alsarhan@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 1, "language": "Arabic", "was_translated": false }, { "text": "السرحان في قسم الذكاء الاصطناعي (AI)، ويمكن التواصل معه عبر البريد الإلكتروني t alsarhan@ju.edu.jo. يعمل الأستاذ الدكتور نديم عبيد في قسم الذكاء الاصطناعي (AI)، ويمكن التواصل معه عبر البريد الإلكتروني obein@ju.edu.jo. يعمل الأستاذ الدكتور محمد الشريدة في قسم الذكاء الاصطناعي (AI)، ويمكن التواصل معه عبر البريد الإلكتروني mshridah@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 2, "language": "Arabic", "was_translated": false }, { "text": "مد الشريدة في قسم الذكاء الاصطناعي (AI)، ويمكن التواصل معه عبر البريد الإلكتروني mshridah@ju.edu.jo. يعمل الأستاذ الدكتور عمر القاضي في قسم الذكاء الاصطناعي (AI)، ويمكن التواصل معه عبر البريد الإلكتروني o.alkadi@ju.edu.jo. يعمل الأستاذ الدكتور إبراهيم الجراح في قسم الذكاء الاصطناعي (AI)، ويمكن التواصل معه عبر البريد الإلكتروني i.aljarah@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 3, "language": "Arabic", "was_translated": false }, { "text": "يم الجراح في قسم الذكاء الاصطناعي (AI)، ويمكن التواصل معه عبر البريد الإلكتروني i.aljarah@ju.edu.jo. يعمل الدكتور علي عبدالله الروضان في قسم الذكاء الاصطناعي (AI)، ويمكن التواصل معه عبر البريد الإلكتروني a.rodan@ju.edu.jo. يعمل الدكتور لؤي النمر في قسم الذكاء الاصطناعي (AI)، ويمكن التواصل معه عبر البريد الإلكتروني l.nemer@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 4, "language": "Arabic", "was_translated": false }, { "text": "ر لؤي النمر في قسم الذكاء الاصطناعي (AI)، ويمكن التواصل معه عبر البريد الإلكتروني l.nemer@ju.edu.jo. يعمل الدكتور مجدي صوالحة في قسم الذكاء الاصطناعي (AI)، ويمكن التواصل معه عبر البريد الإلكتروني sawalha.majdi@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 5, "language": "Arabic", "was_translated": false }, { "text": "والحة في قسم الذكاء الاصطناعي (AI)، ويمكن التواصل معه عبر البريد الإلكتروني sawalha.majdi@ju.edu.jo. ثانياً: قسم تكنولوجيا معلومات الأعمال (Business Information Technology - BIT) يعمل الأستاذ الدكتور رزق السيد في قسم تكنولوجيا معلومات الأعمال (BIT) ويشغل منصب رئيس قسم تكنولوجيا معلومات الأعمال، ويمكن التواصل معه عبر البريد الإلكتروني r.alsayyed@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 6, "language": "Arabic", "was_translated": false }, { "text": "صب رئيس قسم تكنولوجيا معلومات الأعمال، ويمكن التواصل معه عبر البريد الإلكتروني r.alsayyed@ju.edu.jo. يعمل الأستاذ الدكتور حامد صقر البدور في قسم تكنولوجيا معلومات الأعمال (BIT)، ويمكن التواصل معه عبر البريد الإلكتروني h.bdour@ju.edu.jo. يعمل الأستاذ الدكتور أسامة حرفوشي في قسم تكنولوجيا معلومات الأعمال (BIT)، ويمكن التواصل معه عبر البريد الإلكتروني o.harfoushi@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 7, "language": "Arabic", "was_translated": false }, { "text": "قسم تكنولوجيا معلومات الأعمال (BIT)، ويمكن التواصل معه عبر البريد الإلكتروني o.harfoushi@ju.edu.jo. يعمل الأستاذ الدكتور حسام فارس في قسم تكنولوجيا معلومات الأعمال (BIT)، ويمكن التواصل معه عبر البريد الإلكتروني Hossam.faris@ju.edu.jo. يعمل الدكتور جعفر قطاونة في قسم تكنولوجيا معلومات الأعمال (BIT)، ويمكن التواصل معه عبر البريد الإلكتروني j.alqatawna@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 8, "language": "Arabic", "was_translated": false }, { "text": "قسم تكنولوجيا معلومات الأعمال (BIT)، ويمكن التواصل معه عبر البريد الإلكتروني j.alqatawna@ju.edu.jo. يعمل الدكتور بشار عوض الشبول في قسم تكنولوجيا معلومات الأعمال (BIT)، ويمكن التواصل معه عبر البريد الإلكتروني b.shboul@ju.edu.jo. يعمل الدكتور يزن ياسين الشمايلة في قسم تكنولوجيا معلومات الأعمال (BIT)، ويمكن التواصل معه عبر البريد الإلكتروني y.shamaileh@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 9, "language": "Arabic", "was_translated": false }, { "text": "قسم تكنولوجيا معلومات الأعمال (BIT)، ويمكن التواصل معه عبر البريد الإلكتروني y.shamaileh@ju.edu.jo. تعمل الدكتورة دانة القضاة في قسم تكنولوجيا معلومات الأعمال (BIT)، ويمكن التواصل معها عبر البريد الإلكتروني d.qudah@ju.edu.jo. تعمل الدكتورة ملاك الحسن في قسم تكنولوجيا معلومات الأعمال (BIT)، ويمكن التواصل معها عبر البريد الإلكتروني M Alhassan@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 10, "language": "Arabic", "was_translated": false }, { "text": "قسم تكنولوجيا معلومات الأعمال (BIT)، ويمكن التواصل معها عبر البريد الإلكتروني M Alhassan@ju.edu.jo. تعمل الأستاذة مريم اطريق في قسم تكنولوجيا معلومات الأعمال (BIT)، ويمكن التواصل معها عبر البريد الإلكتروني m.itriq@ju.edu.jo. تعمل الدكتورة سمر السقا في قسم تكنولوجيا معلومات الأعمال (BIT)، ويمكن التواصل معها عبر البريد الإلكتروني s.alsaqqa@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 11, "language": "Arabic", "was_translated": false }, { "text": "ي قسم تكنولوجيا معلومات الأعمال (BIT)، ويمكن التواصل معها عبر البريد الإلكتروني s.alsaqqa@ju.edu.jo. يعمل الدكتور محمد عبد الله الشرايعة في قسم تكنولوجيا معلومات الأعمال (BIT)، ويمكن التواصل معه عبر البريد الإلكتروني m.alsharaiah@ju.edu.jo. تعمل الدكتورة ديمة سليمان في قسم تكنولوجيا معلومات الأعمال (BIT)، ويمكن التواصل معها عبر البريد الإلكتروني dima.suleiman@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 12, "language": "Arabic", "was_translated": false }, { "text": "م تكنولوجيا معلومات الأعمال (BIT)، ويمكن التواصل معها عبر البريد الإلكتروني dima.suleiman@ju.edu.jo. يعمل الدكتور شريف نصر مخادمه في قسم تكنولوجيا معلومات الأعمال (BIT)، ويمكن التواصل معه عبر البريد الإلكتروني s makhadmeh@ju.edu.jo. يعمل الدكتور يوسف خضر سنجلاوي في قسم تكنولوجيا معلومات الأعمال (BIT)، ويمكن التواصل معه عبر البريد الإلكتروني y.sanjalawe@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 13, "language": "Arabic", "was_translated": false }, { "text": "قسم تكنولوجيا معلومات الأعمال (BIT)، ويمكن التواصل معه عبر البريد الإلكتروني y.sanjalawe@ju.edu.jo. ثالثاً: قسم نظم المعلومات الحاسوبية (Computer Information Systems - CIS) يعمل الدكتور مروان الطويل في قسم نظم المعلومات الحاسوبية (CIS) ويشغل منصب نائب العميد للشؤون الإدارية والأكاديمية، ويمكن التواصل معه عبر البريد الإلكتروني m.alTawil@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 14, "language": "Arabic", "was_translated": false }, { "text": "ائب العميد للشؤون الإدارية والأكاديمية، ويمكن التواصل معه عبر البريد الإلكتروني m.alTawil@ju.edu.jo. يعمل الدكتور عبدالباسط جمال عساف في قسم نظم المعلومات الحاسوبية (CIS) ويشغل منصب مساعد العميد لشؤون الطلبة، ويمكن التواصل معه عبر البريد الإلكتروني ab.assaf@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 15, "language": "Arabic", "was_translated": false }, { "text": "S) ويشغل منصب مساعد العميد لشؤون الطلبة، ويمكن التواصل معه عبر البريد الإلكتروني ab.assaf@ju.edu.jo. تعمل الدكتورة رنا يوسف في قسم نظم المعلومات الحاسوبية (CIS) وتشغل منصب رئيس قسم نظم المعلومات الحاسوبية، ويمكن التواصل معها عبر البريد الإلكتروني rana.yousef@ju.edu.jo. يعمل الأستاذ الدكتور محمد بلال الزعبي في قسم نظم المعلومات الحاسوبية (CIS)، ويمكن التواصل معه عبر البريد الإلكتروني mba@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 16, "language": "Arabic", "was_translated": false }, { "text": "الزعبي في قسم نظم المعلومات الحاسوبية (CIS)، ويمكن التواصل معه عبر البريد الإلكتروني mba@ju.edu.jo. يعمل الأستاذ الدكتور بسام حمو في قسم نظم المعلومات الحاسوبية (CIS)، ويمكن التواصل معه عبر البريد الإلكتروني b.hammo@ju.edu.jo. يعمل الأستاذ الدكتور أمجد هديب في قسم نظم المعلومات الحاسوبية (CIS)، ويمكن التواصل معه عبر البريد الإلكتروني ahudaib@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 17, "language": "Arabic", "was_translated": false }, { "text": "ديب في قسم نظم المعلومات الحاسوبية (CIS)، ويمكن التواصل معه عبر البريد الإلكتروني ahudaib@ju.edu.jo. يعمل الأستاذ الدكتور ثائر حمتيني في قسم نظم المعلومات الحاسوبية (CIS)، ويمكن التواصل معه عبر البريد الإلكتروني thamtini@ju.edu.jo. يعمل الدكتور موسى الأخرس في قسم نظم المعلومات الحاسوبية (CIS)، ويمكن التواصل معه عبر البريد الإلكتروني mousa.akhras@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 18, "language": "Arabic", "was_translated": false }, { "text": "ي قسم نظم المعلومات الحاسوبية (CIS)، ويمكن التواصل معه عبر البريد الإلكتروني mousa.akhras@ju.edu.jo. يعمل الدكتور محمد عبد الرحمن أبو شريعة في قسم نظم المعلومات الحاسوبية (CIS)، ويمكن التواصل معه عبر البريد الإلكتروني m.abushariah@ju.edu.jo. تعمل الدكتورة هدى كراجه في قسم نظم المعلومات الحاسوبية (CIS)، ويمكن التواصل معها عبر البريد الإلكتروني h.karajeh@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 19, "language": "Arabic", "was_translated": false }, { "text": "في قسم نظم المعلومات الحاسوبية (CIS)، ويمكن التواصل معها عبر البريد الإلكتروني h.karajeh@ju.edu.jo. يعمل الدكتور حمد عقاب السوالقة في قسم نظم المعلومات الحاسوبية (CIS)، ويمكن التواصل معه عبر البريد الإلكتروني h.sawalqah@ju.edu.jo. تعمل الدكتورة سلسبيل فايز الفلاح في قسم نظم المعلومات الحاسوبية (CIS)، ويمكن التواصل معها عبر البريد الإلكتروني s.alfalah@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 20, "language": "Arabic", "was_translated": false }, { "text": "في قسم نظم المعلومات الحاسوبية (CIS)، ويمكن التواصل معها عبر البريد الإلكتروني s.alfalah@ju.edu.jo. تعمل الدكتورة إسراء الزغول في قسم نظم المعلومات الحاسوبية (CIS)، ويمكن التواصل معها عبر البريد الإلكتروني e.zaghoul@ju.edu.jo. تعمل الدكتورة ريم علي الفايز في قسم نظم المعلومات الحاسوبية (CIS)، ويمكن التواصل معها عبر البريد الإلكتروني r.alfayez@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 21, "language": "Arabic", "was_translated": false }, { "text": "في قسم نظم المعلومات الحاسوبية (CIS)، ويمكن التواصل معها عبر البريد الإلكتروني r.alfayez@ju.edu.jo. يعمل الأستاذ أصيل العناني في قسم نظم المعلومات الحاسوبية (CIS)، ويمكن التواصل معه عبر البريد الإلكتروني a.anani@ju.edu.jo. تعمل الأستاذة رولا الخالد في قسم نظم المعلومات الحاسوبية (CIS)، ويمكن التواصل معها عبر البريد الإلكتروني r.khalid@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 22, "language": "Arabic", "was_translated": false }, { "text": "د في قسم نظم المعلومات الحاسوبية (CIS)، ويمكن التواصل معها عبر البريد الإلكتروني r.khalid@ju.edu.jo. تعمل الدكتورة تهاني الخطيب في قسم نظم المعلومات الحاسوبية (CIS)، ويمكن التواصل معها عبر البريد الإلكتروني tahani.khatib@ju.edu.jo. تعمل الأستاذة لما رجب في قسم نظم المعلومات الحاسوبية (CIS)، ويمكن التواصل معها عبر البريد الإلكتروني lama.rajab@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 23, "language": "Arabic", "was_translated": false }, { "text": "في قسم نظم المعلومات الحاسوبية (CIS)، ويمكن التواصل معها عبر البريد الإلكتروني lama.rajab@ju.edu.jo. تعمل الأستاذة هبة خضراوي في قسم نظم المعلومات الحاسوبية (CIS)، ويمكن التواصل معها عبر البريد الإلكتروني h.Khadrawi@ju.edu.jo. تعمل الأستاذة تمارا المراعبة في قسم نظم المعلومات الحاسوبية (CIS)، ويمكن التواصل معها عبر البريد الإلكتروني t.almaraabeh@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 24, "language": "Arabic", "was_translated": false }, { "text": "قسم نظم المعلومات الحاسوبية (CIS)، ويمكن التواصل معها عبر البريد الإلكتروني t.almaraabeh@ju.edu.jo. تعمل الأستاذة ولاء قطيشات في قسم نظم المعلومات الحاسوبية (CIS)، ويمكن التواصل معها عبر البريد الإلكتروني walaa qutechate@yahoo.com. يعمل الأستاذ يوسف مجدلاوي في قسم نظم المعلومات الحاسوبية (CIS)، ويمكن التواصل معه عبر البريد الإلكتروني ymajdal@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 25, "language": "Arabic", "was_translated": false }, { "text": "اوي في قسم نظم المعلومات الحاسوبية (CIS)، ويمكن التواصل معه عبر البريد الإلكتروني ymajdal@ju.edu.jo. رابعاً: قسم علوم الحاسوب (Computer Science - CS) يعمل الأستاذ الدكتور باسل محافظة في قسم علوم الحاسوب (CS) ويشغل منصب عميد كلية تكنولوجيا المعلومات، ويمكن التواصل معه عبر البريد الإلكتروني b.mahafzah@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 26, "language": "Arabic", "was_translated": false }, { "text": "غل منصب عميد كلية تكنولوجيا المعلومات، ويمكن التواصل معه عبر البريد الإلكتروني b.mahafzah@ju.edu.jo. يعمل الدكتور محمد سالم العتوم في قسم علوم الحاسوب (CS) ويشغل منصب رئيس قسم علوم الحاسوب، ويمكن التواصل معه عبر البريد الإلكتروني m.atoum@ju.edu.jo. يعمل الأستاذ الدكتور عبداللطيف أبودلهوم في قسم علوم الحاسوب (CS)، ويمكن التواصل معه عبر البريد الإلكتروني a.latif@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 27, "language": "Arabic", "was_translated": false }, { "text": "اللطيف أبودلهوم في قسم علوم الحاسوب (CS)، ويمكن التواصل معه عبر البريد الإلكتروني a.latif@ju.edu.jo. يعمل الأستاذ الدكتور أحمد الشرايعة في قسم علوم الحاسوب (CS)، ويمكن التواصل معه عبر البريد الإلكتروني sharieh@ju.edu.jo. يعمل الأستاذ الدكتور سامي سرحان في قسم علوم الحاسوب (CS)، ويمكن التواصل معه عبر البريد الإلكتروني samiserh@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 28, "language": "Arabic", "was_translated": false }, { "text": "تور سامي سرحان في قسم علوم الحاسوب (CS)، ويمكن التواصل معه عبر البريد الإلكتروني samiserh@ju.edu.jo. يعمل الأستاذ الدكتور صالح الشرايعة في قسم علوم الحاسوب (CS)، ويمكن التواصل معه عبر البريد الإلكتروني ssharaeh@ju.edu.jo. يعمل الأستاذ الدكتور عزام سليط في قسم علوم الحاسوب (CS)، ويمكن التواصل معه عبر البريد الإلكتروني azzam.sleit@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 29, "language": "Arabic", "was_translated": false }, { "text": "ر عزام سليط في قسم علوم الحاسوب (CS)، ويمكن التواصل معه عبر البريد الإلكتروني azzam.sleit@ju.edu.jo. يعمل الأستاذ الدكتور محمد القطاونة في قسم علوم الحاسوب (CS)، ويمكن التواصل معه عبر البريد الإلكتروني mohd.qat@ju.edu.jo. يعمل الأستاذ الدكتور عماد صلاح في قسم علوم الحاسوب (CS)، ويمكن التواصل معه عبر البريد الإلكتروني isalah@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 30, "language": "Arabic", "was_translated": false }, { "text": "لدكتور عماد صلاح في قسم علوم الحاسوب (CS)، ويمكن التواصل معه عبر البريد الإلكتروني isalah@ju.edu.jo. يعمل الأستاذ الدكتور وسام المبيضين في قسم علوم الحاسوب (CS)، ويمكن التواصل معه عبر البريد الإلكتروني almobaideen@inf.ju.edu.jo. يعمل الأستاذ الدكتور حازم الحياري في قسم علوم الحاسوب (CS)، ويمكن التواصل معه عبر البريد الإلكتروني hazemh@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 31, "language": "Arabic", "was_translated": false }, { "text": "تور حازم الحياري في قسم علوم الحاسوب (CS)، ويمكن التواصل معه عبر البريد الإلكتروني hazemh@ju.edu.jo. يعمل الأستاذ الدكتور خير الدين صبري في قسم علوم الحاسوب (CS)، ويمكن التواصل معه عبر البريد الإلكتروني k.sabri@ju.edu.jo. تعمل الأستاذة الدكتورة إيمان المومني في قسم علوم الحاسوب (CS)، ويمكن التواصل معها عبر البريد الإلكتروني i.momani@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 32, "language": "Arabic", "was_translated": false }, { "text": "إيمان المومني في قسم علوم الحاسوب (CS)، ويمكن التواصل معها عبر البريد الإلكتروني i.momani@ju.edu.jo. يعمل الدكتور معن العساف في قسم علوم الحاسوب (CS)، ويمكن التواصل معه عبر البريد الإلكتروني m alassaf@ju.edu.jo. تعمل الدكتورة شريناز بدّار في قسم علوم الحاسوب (CS)، ويمكن التواصل معها عبر البريد الإلكتروني s.baddar@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 33, "language": "Arabic", "was_translated": false }, { "text": "شريناز بدّار في قسم علوم الحاسوب (CS)، ويمكن التواصل معها عبر البريد الإلكتروني s.baddar@ju.edu.jo. يعمل الدكتور ساهر المناصير في قسم علوم الحاسوب (CS)، ويمكن التواصل معه عبر البريد الإلكتروني saher@ju.edu.jo. تعمل الدكتورة باسمة أحمد الشقيرات في قسم علوم الحاسوب (CS)، ويمكن التواصل معها عبر البريد الإلكتروني b.shoqurat@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 34, "language": "Arabic", "was_translated": false }, { "text": "مد الشقيرات في قسم علوم الحاسوب (CS)، ويمكن التواصل معها عبر البريد الإلكتروني b.shoqurat@ju.edu.jo. تعمل الدكتورة هبة سعادة في قسم علوم الحاسوب (CS)، ويمكن التواصل معها عبر البريد الإلكتروني heba.saadeh@ju.edu.jo. يعمل الدكتور بلال أبوصالح في قسم علوم الحاسوب (CS)، ويمكن التواصل معه عبر البريد الإلكتروني b.AbuSalih@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 35, "language": "Arabic", "was_translated": false }, { "text": "بلال أبوصالح في قسم علوم الحاسوب (CS)، ويمكن التواصل معه عبر البريد الإلكتروني b.AbuSalih@ju.edu.jo. يعمل الدكتور محمد أمين المعايعة في قسم علوم الحاسوب (CS)، ويمكن التواصل معه عبر البريد الإلكتروني m.almaiah@ju.edu.jo. يعمل الدكتور عريب أبو الغنم في قسم علوم الحاسوب (CS)، ويمكن التواصل معه عبر البريد الإلكتروني O.Abualganam@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 36, "language": "Arabic", "was_translated": false }, { "text": "أبو الغنم في قسم علوم الحاسوب (CS)، ويمكن التواصل معه عبر البريد الإلكتروني O.Abualganam@ju.edu.jo. يعمل الدكتور أحمد الحويطات في قسم علوم الحاسوب (CS)، ويمكن التواصل معه عبر البريد الإلكتروني a.hwaitat@ju.edu.jo. يعمل الأستاذ أنصار خوري في قسم علوم الحاسوب (CS)، ويمكن التواصل معه عبر البريد الإلكتروني ansar@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 37, "language": "Arabic", "was_translated": false }, { "text": "لأستاذ أنصار خوري في قسم علوم الحاسوب (CS)، ويمكن التواصل معه عبر البريد الإلكتروني ansar@ju.edu.jo. تعمل الأستاذة لبنى ناصر الدين في قسم علوم الحاسوب (CS)، ويمكن التواصل معها عبر البريد الإلكتروني lubna@ju.edu.jo. يعمل الأستاذ نبيل العساف في قسم علوم الحاسوب (CS)، ويمكن التواصل معه عبر البريد الإلكتروني n.alassaf@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 38, "language": "Arabic", "was_translated": false }, { "text": "ذ نبيل العساف في قسم علوم الحاسوب (CS)، ويمكن التواصل معه عبر البريد الإلكتروني n.alassaf@ju.edu.jo. يعمل الدكتور جمال محمد السكران في قسم علوم الحاسوب (CS)، ويمكن التواصل معه عبر البريد الإلكتروني j.alsakran@ju.edu.jo. تعمل زينة القبات في قسم علوم الحاسوب (CS)، ويمكن التواصل معها عبر البريد الإلكتروني z yousef@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 39, "language": "Arabic", "was_translated": false }, { "text": "ل زينة القبات في قسم علوم الحاسوب (CS)، ويمكن التواصل معها عبر البريد الإلكتروني z yousef@ju.edu.jo.", "source": "اعضاء الهيئة التدريسيو مفصل.docx", "chunk_id": 40, "language": "Arabic", "was_translated": false }, { "text": "مقدمة عامة تُعدّ المكارم الملكية في المملكة الأردنية الهاشمية من أهم أشكال الدعم الحكومي الموجّه لطلبة التعليم العالي، حيث تهدف إلى توفير فرص تعليمية عادلة لأبناء العاملين في القطاعات الوطنية المختلفة، وتخفيف الأعباء المالية عنهم. وتنقسم هذه المكارم إلى ثلاثة أنواع رئيسية: مكرمة المعلمين، ومكرمة القوات المسلحة الأردنية (الجيش)، ومكرمة أبناء الشهداء والمصابين العسكريين (الجسيم).", "source": "المكرمات الثلاث.docx", "chunk_id": 1, "language": "Arabic", "was_translated": false }, { "text": "المعلمين، ومكرمة القوات المسلحة الأردنية (الجيش)، ومكرمة أبناء الشهداء والمصابين العسكريين (الجسيم). ويستعرض هذا الدليل تفاصيل كل مكرمة من حيث الشروط، وآليات التقديم، والمزايا، والتعليمات الخاصة بها، بأسلوب دقيق ومنهجي يصلح للاستخدام في أنظمة الذكاء الاصطناعي.", "source": "المكرمات الثلاث.docx", "chunk_id": 2, "language": "Arabic", "was_translated": false }, { "text": "تقديم، والمزايا، والتعليمات الخاصة بها، بأسلوب دقيق ومنهجي يصلح للاستخدام في أنظمة الذكاء الاصطناعي. أولًا: مكرمة المعلمين التعريف بمكرمة المعلمين مكرمة المعلمين هي منحة تعليمية مخصصة للطلبة الذين يعمل أحد والديهم أو كلاهما في وزارة التربية والتعليم الأردنية.", "source": "المكرمات الثلاث.docx", "chunk_id": 3, "language": "Arabic", "was_translated": false }, { "text": "ين هي منحة تعليمية مخصصة للطلبة الذين يعمل أحد والديهم أو كلاهما في وزارة التربية والتعليم الأردنية. وتهدف هذه المكرمة إلى دعم أبناء المعلمين تقديرًا لجهودهم في خدمة العملية التعليمية، حيث يتم تخصيص ما نسبته 10% من المقاعد الجامعية الحكومية لهم، ويتم التنافس عليها على مستوى المحافظة.", "source": "المكرمات الثلاث.docx", "chunk_id": 4, "language": "Arabic", "was_translated": false }, { "text": "حيث يتم تخصيص ما نسبته 10% من المقاعد الجامعية الحكومية لهم، ويتم التنافس عليها على مستوى المحافظة. نسبة المقاعد وآلية التوزيع تُخصص 10% من المقاعد في الجامعات الحكومية لمكرمة المعلمين، ويتم توزيع هذه النسبة بين المحافظات وفقًا لعدد المتقدمين من كل محافظة مقارنةً بإجمالي عدد المتقدمين في المملكة، مما يضمن تحقيق العدالة في التنافس بين الطلبة.", "source": "المكرمات الثلاث.docx", "chunk_id": 5, "language": "Arabic", "was_translated": false }, { "text": "من كل محافظة مقارنةً بإجمالي عدد المتقدمين في المملكة، مما يضمن تحقيق العدالة في التنافس بين الطلبة. الفئات المستفيدة من المكرمة يستفيد من مكرمة المعلمين الطلبة الذين تتوفر فيهم الشروط التالية: أن يكون أحد الوالدين أو كلاهما موظفًا في وزارة التربية والتعليم. أن لا تقل مدة خدمة ولي الأمر عن خمس سنوات. أن لا يتجاوز عمر الطالب 21 عامًا في سنة التقديم.", "source": "المكرمات الثلاث.docx", "chunk_id": 6, "language": "Arabic", "was_translated": false }, { "text": "التعليم. أن لا تقل مدة خدمة ولي الأمر عن خمس سنوات. أن لا يتجاوز عمر الطالب 21 عامًا في سنة التقديم. أن يكون الطالب مستوفيًا لشروط القبول في الجامعات الأردنية. آلية التقديم لا يتطلب التقديم على مكرمة المعلمين تقديم طلب منفصل، وإنما يتم ذلك من خلال طلب القبول الموحد، حيث يُطلب من الطالب تحديد ما إذا كان يمتلك حق الاستفادة من المكرمة.", "source": "المكرمات الثلاث.docx", "chunk_id": 7, "language": "Arabic", "was_translated": false }, { "text": "م ذلك من خلال طلب القبول الموحد، حيث يُطلب من الطالب تحديد ما إذا كان يمتلك حق الاستفادة من المكرمة. وفي حال الإجابة بنعم، يتم إدخال الرقم الوزاري أو الرقم التقاعدي لولي الأمر مع رقم الهوية الشخصية، ومن ثم تُعلن الوزارة عن آلية تسليم الوثائق عبر مندوبيها في الجامعات. المزايا التي تقدمها مكرمة المعلمين تغطية رسوم الساعات المعتمدة ضمن الخطة الدراسية للتخصص. تقديم مكافأة فصلية للطالب المستفيد.", "source": "المكرمات الثلاث.docx", "chunk_id": 8, "language": "Arabic", "was_translated": false }, { "text": "المعلمين تغطية رسوم الساعات المعتمدة ضمن الخطة الدراسية للتخصص. تقديم مكافأة فصلية للطالب المستفيد. توفير دعم مالي يساهم في استقرار الطالب أكاديميًا. قيمة المكافآت الفصلية 100 دينار أردني للفصل الأول. 80 دينارًا أردنيًا للفصل الثاني. 20 دينارًا أردنيًا للفصل الصيفي. ملاحظات وتعليمات هامة يتم إعلان نتائج القبول ضمن قائمة القبول الموحد وعلى دفعات.", "source": "المكرمات الثلاث.docx", "chunk_id": 9, "language": "Arabic", "was_translated": false }, { "text": "دنيًا للفصل الصيفي. ملاحظات وتعليمات هامة يتم إعلان نتائج القبول ضمن قائمة القبول الموحد وعلى دفعات. يدفع الطالب رسوم التسجيل والساعات للفصل الأول، ثم تُسترد رسوم الساعات بعد تأكيد القبول في المكرمة. يتوفر في كل جامعة ضابط ارتباط خاص بمكرمة المعلمين. تغطي المكرمة عدد الساعات المحددة في الخطة الدراسية فقط. يتحمل الطالب رسوم الساعات الزائدة أو المواد المعادة.", "source": "المكرمات الثلاث.docx", "chunk_id": 10, "language": "Arabic", "was_translated": false }, { "text": "كرمة عدد الساعات المحددة في الخطة الدراسية فقط. يتحمل الطالب رسوم الساعات الزائدة أو المواد المعادة. يتطلب تغيير التخصص أو الجامعة مراجعة مكتب الارتباط. في حال الانسحاب من الدراسة، تُسترد المبالغ المصروفة من الطالب أو ولي أمره.", "source": "المكرمات الثلاث.docx", "chunk_id": 11, "language": "Arabic", "was_translated": false }, { "text": "معة مراجعة مكتب الارتباط. في حال الانسحاب من الدراسة، تُسترد المبالغ المصروفة من الطالب أو ولي أمره. ثانيًا: مكرمة القوات المسلحة الأردنية (مكرمة الجيش) التعريف بمكرمة الجيش مكرمة القوات المسلحة الأردنية هي منحة دراسية مخصصة لأبناء العاملين والمتقاعدين في الأجهزة الأمنية والعسكرية، وتهدف إلى دعم أسرهم تقديرًا لخدمتهم للوطن.", "source": "المكرمات الثلاث.docx", "chunk_id": 12, "language": "Arabic", "was_translated": false }, { "text": "لأبناء العاملين والمتقاعدين في الأجهزة الأمنية والعسكرية، وتهدف إلى دعم أسرهم تقديرًا لخدمتهم للوطن. وتشمل القوات المسلحة الأردنية، والأمن العام، والدفاع المدني، والمخابرات العامة، وقوات الدرك. نسبة المقاعد وآلية التنافس تُخصص نسبة 20% من المقاعد الجامعية الحكومية للمستفيدين من مكرمة الجيش، ويتم التنافس عليها ضمن المحافظة الواحدة بناءً على مكان ولادة ولي الأمر.", "source": "المكرمات الثلاث.docx", "chunk_id": 13, "language": "Arabic", "was_translated": false }, { "text": "ة للمستفيدين من مكرمة الجيش، ويتم التنافس عليها ضمن المحافظة الواحدة بناءً على مكان ولادة ولي الأمر. الفئات المستفيدة تشمل المكرمة أبناء العاملين والمتقاعدين في: القوات المسلحة الأردنية. مديرية الأمن العام. الدفاع المدني. دائرة المخابرات العامة. قوات الدرك. شروط الاستفادة من المكرمة أن يكون الطالب أردني الجنسية. الحصول على شهادة الثانوية العامة للسنة نفسها. تحقيق الحد الأدنى لمعدل القبول الموحد.", "source": "المكرمات الثلاث.docx", "chunk_id": 14, "language": "Arabic", "was_translated": false }, { "text": "أردني الجنسية. الحصول على شهادة الثانوية العامة للسنة نفسها. تحقيق الحد الأدنى لمعدل القبول الموحد. عدم الاستفادة من منحة أو بعثة أخرى. ألا يتجاوز عمر الطالب 21 عامًا. ألا يكون موظفًا في جهة حكومية. آلية التقديم يتم التقديم من خلال نظام القبول الموحد، حيث يختار الطالب الاستفادة من مكرمة الجيش أثناء تعبئة الطلب الإلكتروني. ميزات مكرمة الجيش تغطية رسوم الساعات الدراسية كاملة.", "source": "المكرمات الثلاث.docx", "chunk_id": 15, "language": "Arabic", "was_translated": false }, { "text": "دة من مكرمة الجيش أثناء تعبئة الطلب الإلكتروني. ميزات مكرمة الجيش تغطية رسوم الساعات الدراسية كاملة. تقديم راتب شهري بقيمة 20 دينارًا أردنيًا. إتاحة فرصة الحصول على تخصصات تنافسية وفق نظام خاص. الاعتراض على نتائج المكرمة يمكن للطالب تقديم اعتراض إلكتروني بعد إعلان النتائج، حيث يختار ثلاثة تخصصات أعلى من معدله، وتصدر النتائج خلال أسبوعين وفق الشواغر المتاحة.", "source": "المكرمات الثلاث.docx", "chunk_id": 16, "language": "Arabic", "was_translated": false }, { "text": "إعلان النتائج، حيث يختار ثلاثة تخصصات أعلى من معدله، وتصدر النتائج خلال أسبوعين وفق الشواغر المتاحة. ملاحظات هامة لا ترفع المكرمة معدل الطالب، وإنما تغيّر آلية التنافس. التقديم يكون سنويًا ولا يشمل الدورة التكميلية. يمكن التقديم لأكثر من مكرمة، ولكن يتم اعتماد واحدة فقط.", "source": "المكرمات الثلاث.docx", "chunk_id": 17, "language": "Arabic", "was_translated": false }, { "text": "تقديم يكون سنويًا ولا يشمل الدورة التكميلية. يمكن التقديم لأكثر من مكرمة، ولكن يتم اعتماد واحدة فقط. ثالثًا: مكرمة أبناء الشهداء والمصابين العسكريين (مكرمة الجسيم) التعريف بالمكرمة مكرمة الجسيم هي منحة دراسية مخصصة لأبناء الشهداء والمصابين العسكريين الذين تبلغ نسبة العجز لديهم 40% فأكثر، وتُعد من أكثر المكارم شمولًا من حيث التغطية والامتيازات. الفئات المستفيدة أبناء الشهداء العسكريين.", "source": "المكرمات الثلاث.docx", "chunk_id": 18, "language": "Arabic", "was_translated": false }, { "text": "، وتُعد من أكثر المكارم شمولًا من حيث التغطية والامتيازات. الفئات المستفيدة أبناء الشهداء العسكريين. أبناء المصابين العسكريين بنسبة عجز لا تقل عن 40%. مزايا مكرمة الجسيم الدراسة في الجامعات الحكومية على نظام الموازي مع تغطية كافة الرسوم. شمول رسوم التسجيل والساعات الدراسية. استرداد الرسوم المدفوعة في الفصل الأول. إمكانية الاستفادة من المكرمة في الدراسات العليا. استمرار المكرمة حتى سن الثلاثين.", "source": "المكرمات الثلاث.docx", "chunk_id": 19, "language": "Arabic", "was_translated": false }, { "text": "عة في الفصل الأول. إمكانية الاستفادة من المكرمة في الدراسات العليا. استمرار المكرمة حتى سن الثلاثين. عدم تأثرها بزواج الطالب أو الطالبة. آلية التقديم تتم عملية التقديم وفق الخطوات التالية: الحصول على قبول في برنامج الموازي بإحدى الجامعات الحكومية. تجهيز الوثائق المطلوبة، وتشمل: إثبات القبول الجامعي. وثيقة إصابة ولي الأمر بنسبة عجز 40% فأكثر. مراجعة مكتب الثقافة العسكرية.", "source": "المكرمات الثلاث.docx", "chunk_id": 20, "language": "Arabic", "was_translated": false }, { "text": "تشمل: إثبات القبول الجامعي. وثيقة إصابة ولي الأمر بنسبة عجز 40% فأكثر. مراجعة مكتب الثقافة العسكرية. إرسال كتاب رسمي من القيادة العامة إلى الجامعة لتحويل القبول من الموازي إلى المكرمة. ملاحظات هامة لا تُلغى المكرمة عند تغيير التخصص. تشمل الدراسات العليا (الماجستير والدكتوراه). في حال الرسوب بمادة، تُعامل الرسوم معاملة الطالب الموازي.", "source": "المكرمات الثلاث.docx", "chunk_id": 21, "language": "Arabic", "was_translated": false }, { "text": "مل الدراسات العليا (الماجستير والدكتوراه). في حال الرسوب بمادة، تُعامل الرسوم معاملة الطالب الموازي. مقارنة شاملة بين المكارم الملكية أسئلة شائعة (FAQ) ما عدد أنواع المكارم الملكية في الأردن؟ توجد ثلاثة أنواع رئيسية: مكرمة المعلمين، ومكرمة القوات المسلحة الأردنية، ومكرمة أبناء الشهداء والمصابين العسكريين. هل يمكن الجمع بين أكثر من مكرمة؟", "source": "المكرمات الثلاث.docx", "chunk_id": 22, "language": "Arabic", "was_translated": false }, { "text": "القوات المسلحة الأردنية، ومكرمة أبناء الشهداء والمصابين العسكريين. هل يمكن الجمع بين أكثر من مكرمة؟ يمكن التقديم لأكثر من مكرمة، لكن لا يُسمح بالاستفادة إلا من واحدة فقط. هل تغطي المكارم الساعات الزائدة؟ لا، يتحمل الطالب رسوم أي ساعات إضافية أو مواد معادة. هل تؤثر المكرمة على معدل القبول؟ لا ترفع المكرمة المعدل، لكنها تغيّر آلية التنافس.", "source": "المكرمات الثلاث.docx", "chunk_id": 23, "language": "Arabic", "was_translated": false }, { "text": "ية أو مواد معادة. هل تؤثر المكرمة على معدل القبول؟ لا ترفع المكرمة المعدل، لكنها تغيّر آلية التنافس.", "source": "المكرمات الثلاث.docx", "chunk_id": 24, "language": "Arabic", "was_translated": false }, { "text": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية صادرة بقرار من مجلس العمداء رقم (91/2005) تاريخ 25/4/2005 المادة ( 1 ):- تسُمى هذه التعليمات (تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية)، ويعمل بها اعتباراً من بدء العام الجامعي 2005/2006.", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 1, "language": "Arabic", "was_translated": false }, { "text": "للحصول على درجة البكالوريوس في الجامعة الأردنية)، ويعمل بها اعتباراً من بدء العام الجامعي 2005/2006. المادة ( 2 ):- يحدد مجلس العمداء قبل بداية كل عام جامعي أعداد الطلبة الذين سيتم قبولهم في البرنامج الموازي في كل كلية / تخصص.", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 2, "language": "Arabic", "was_translated": false }, { "text": "العمداء قبل بداية كل عام جامعي أعداد الطلبة الذين سيتم قبولهم في البرنامج الموازي في كل كلية / تخصص. المادة ( 3 ):- يقبل الطالب في البرنامج الموازي، إذا توافرت فيه الشروط التالية:- أ - أن يكون حاصلا ً على شهادة الدراسة الثانوية العامة الأردنية أو ما يعادلها بشهادة صادرة عن وزارة التربية والتعليم الأردنية.", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 3, "language": "Arabic", "was_translated": false }, { "text": "هادة الدراسة الثانوية العامة الأردنية أو ما يعادلها بشهادة صادرة عن وزارة التربية والتعليم الأردنية. ب - يجوز قبول الطالب الحاصل على شهادة دراسة ثانوية أجنبية غير معادلة من وزارة التربية والتعليم الأردنية، إذا أبرز ما يلي :- - شهادة معادلة صادرة عن الجهات المختصة في البلد الذي حصل منه على هذه الشهادة. - أو حصل على رسالة قبول من جامعة معترف بها حسب قيود وزارة التعليم العالي والبحث العلمي الأردنية.", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 4, "language": "Arabic", "was_translated": false }, { "text": "دة. - أو حصل على رسالة قبول من جامعة معترف بها حسب قيود وزارة التعليم العالي والبحث العلمي الأردنية. ج - أن تكون شهادة الدراسة الثانوية التي يحملها الطالب من فرع يؤهله للالتحاق بالكلية/ التخصص المتقدم إليه، وذلك على النحو التالي:- - شهادة الدراسة الثانوية / الفرع العلمي: مقبولة في جميع الكليات / التخصصات.", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 5, "language": "Arabic", "was_translated": false }, { "text": "وذلك على النحو التالي:- - شهادة الدراسة الثانوية / الفرع العلمي: مقبولة في جميع الكليات / التخصصات. - شهادة الدراسة الثانوية/ الفرع الأدبي: مقبولة في الكليات الإنسانية: الآداب، إدارة الأعمال، الشريعة، العلوم التربوية، الحقوق، التربية الرياضية، العلوم الاجتماعية والإنسانية، الفنون والتصميم.", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 6, "language": "Arabic", "was_translated": false }, { "text": "، الشريعة، العلوم التربوية، الحقوق، التربية الرياضية، العلوم الاجتماعية والإنسانية، الفنون والتصميم. - يجوز قبول شهادة الدراسة الثانوية في الفروع الأخرى في الكليات أو التخصصات المناظرة لتلك الكليات أو التخصصات التي تؤهل حامل هذه الشهادة للالتحاق بها في جامعات البلد الذي أصدر هذه الشهادة.", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 7, "language": "Arabic", "was_translated": false }, { "text": "ك الكليات أو التخصصات التي تؤهل حامل هذه الشهادة للالتحاق بها في جامعات البلد الذي أصدر هذه الشهادة. - شهادة الدراسة الثانوية غير الأردنية التي لا يوجد فيها نص يوضح أنها في الفرع العلمي أو الأدبي: مقبولة في الكليات المناظرة للكليات التي تقبل فيها تلك الشهادة في البلد الذي منحها.", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 8, "language": "Arabic", "was_translated": false }, { "text": "العلمي أو الأدبي: مقبولة في الكليات المناظرة للكليات التي تقبل فيها تلك الشهادة في البلد الذي منحها.", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 9, "language": "Arabic", "was_translated": false }, { "text": "المادة ( 4 ):- يقبل الطلبة مباشرة في الكليات/ التخصصات، وضمن الأعداد المقرر قبولها، وفي جميع الأحوال يشترط أن لا يقل معدل الطالب في شهادة الدراسة الثانوية عن الحدود الدنيا التالية:- - كليتي الطب وطب الأسنان 85% - كليتي الهندسة والتكنولوجيا، والصيدلة 80% - كلية علوم التأهيل 75% - باقي كليات الجامعة 65% المادة ( 5 ):- استثناء مما ورد في الفقرة (جـ) من المادة (3) من هذه التعليمات، يجوز قبول عدد", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 10, "language": "Arabic", "was_translated": false }, { "text": "امعة 65% المادة ( 5 ):- استثناء مما ورد في الفقرة (جـ) من المادة (3) من هذه التعليمات، يجوز قبول عدد محدود من الطلبة الحاصلين على شهادة دبلوم كليات المجتمع أو ما يعادلها وذلك ضمن الشروط التالية:- أ - أن يكون الطالب ناجحاً في شهادة الدراسة الثانوية العامة أو ما يعادلها.", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 11, "language": "Arabic", "was_translated": false }, { "text": "وذلك ضمن الشروط التالية:- أ - أن يكون الطالب ناجحاً في شهادة الدراسة الثانوية العامة أو ما يعادلها. ب - أن لا يقل تقديره في شهادة الدبلوم عن (جيد)، وذلك لأولئك الطلبة الحاصلين عليها من الأردن (قبل إقرار عقد الامتحان الشامل)، أما الطالب الذي حصل على هذه الشهادة (بعد إقرار عقد الامتحان الشامل)، فيشترط أن لا يقل معدله فيه عن (68%).", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 12, "language": "Arabic", "was_translated": false }, { "text": "لطالب الذي حصل على هذه الشهادة (بعد إقرار عقد الامتحان الشامل)، فيشترط أن لا يقل معدله فيه عن (68%). ج - أما إذا كان الطالب حاصلا ً على الدبلوم من خارج الأردن، فعليه الحصول على شهادة معادلة له من وزارة التعليم العالي والبحث العلمي الأردنية، وعليه كذلك اجتياز امتحان القبول الذي تعقده الكلية المعنية في الجامعة الأردنية.", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 13, "language": "Arabic", "was_translated": false }, { "text": "لبحث العلمي الأردنية، وعليه كذلك اجتياز امتحان القبول الذي تعقده الكلية المعنية في الجامعة الأردنية. المادة ( 6 ):- أ - تقوم الأقسام الأكاديمية المعنية بتدريس المواد بمعادلة المواد التي سبق أن درسها الطالب الملتحق في البرنامج الموازي ضمن متطلبات الحصول على شهادة الدبلوم أو في جامعة أو كلية جامعية أو معهد معترف به، وتتم هذه المعادلة ضمن الشروط التالية:- 1- أن يكون ناجحاً في هذه المواد.", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 14, "language": "Arabic", "was_translated": false }, { "text": "لية جامعية أو معهد معترف به، وتتم هذه المعادلة ضمن الشروط التالية:- 1- أن يكون ناجحاً في هذه المواد. 2- أن لا يقل عدد الساعات المعتمدة للمادة المعادلة عن عدد الساعات المقررة للمادة المقابلة لها في الجامعة الأردنية. 3- أن تكون هذه المواد ضمن الخطة الدراسية للكلية أو التخصص الملتحق به الطالب. 4- أن لا تحسب علامات الطالب في هذه المواد في معدله التراكمي في الجامعة الأردنية.", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 15, "language": "Arabic", "was_translated": false }, { "text": "الملتحق به الطالب. 4- أن لا تحسب علامات الطالب في هذه المواد في معدله التراكمي في الجامعة الأردنية. ب - تقوم كلية الطب أو طب الأسنان بتحديد مستوى السنة الدراسية التي يمكن التحاق الطالب بها، وذلك على ضوء الخطة الدراسية المقرة، ويجوز للكلية أن تطلب من الطالب دراسة بعض المواد التي تراها متممة للسنة التي تمت معادلتها له، ولا يجوز انتقال الطالب للسنة التالية إلا بعد نجاحه في هذه المواد.", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 16, "language": "Arabic", "was_translated": false }, { "text": "متممة للسنة التي تمت معادلتها له، ولا يجوز انتقال الطالب للسنة التالية إلا بعد نجاحه في هذه المواد.", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 17, "language": "Arabic", "was_translated": false }, { "text": "ج - على الطالب الملتحق بالبرنامج الموازي، وسبق أن درس مواد في جامعة أخرى، أن يدرس بنجاح في الجامعة الأردنية ما لا يقل عن نصف عدد الساعات المعتمدة المطلوبة للتخرج حسب الخطة الدراسية المقرة حين قبول الطالب، وأن يكون من ضمنها على الأقل نصف عدد الساعات المعتمدة من متطلبات القسم التخصصية، ويكون من ضمن مدة الدراسة الفصلان الأخيران لدراسته، أما في كليتي الطب وطب الأسنان، فعلى الطالب أن يدرس في الجامعة", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 18, "language": "Arabic", "was_translated": false }, { "text": "مدة الدراسة الفصلان الأخيران لدراسته، أما في كليتي الطب وطب الأسنان، فعلى الطالب أن يدرس في الجامعة الأردنية ثلاث سنوات دراسية متتالية على الأقل قبل تخرجه.", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 19, "language": "Arabic", "was_translated": false }, { "text": "وطب الأسنان، فعلى الطالب أن يدرس في الجامعة الأردنية ثلاث سنوات دراسية متتالية على الأقل قبل تخرجه. المادة ( 7 ):- لمجلس العمداء، وفي حالات خاصة، أن يقبل ما لا يزيد عن (5%) من أعداد الطلبة المقرر قبولهم في كل كلية/ تخصص، ممن لا تنطبق عليهم شروط القبول المبينة في المادة (4) من هذه التعليمات شريطة أن يكون الطالب غير أردني الجنسية أو حاصلا ً على شهادة دراسة ثانوية غير أردنية.", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 20, "language": "Arabic", "was_translated": false }, { "text": "ن هذه التعليمات شريطة أن يكون الطالب غير أردني الجنسية أو حاصلا ً على شهادة دراسة ثانوية غير أردنية. المادة ( 8 ):- لا يجوز لمن التحق بالبرنامج الموازي التحويل إلى البرنامج العادي. المادة ( 9 ):- لا تسري الإعفاءات المالية على أي طالب التحق بالبرنامج الموازي في الجامعة. المادة (10):- تستوفى من الطالب الملتحق في البرنامج الموازي الرسوم المحددة في الجدول رقم (1) والجدول رقم (2).", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 21, "language": "Arabic", "was_translated": false }, { "text": "10):- تستوفى من الطالب الملتحق في البرنامج الموازي الرسوم المحددة في الجدول رقم (1) والجدول رقم (2). المادة (11):- تلغي هذه التعليمات ( تعليمات قبول الطلبة في البرنامج الدولي) و (تعليمات قبول الطلبة في البرنامج الاستكمالي) و(تعليمات قبول الطلبة في البرنامج المسائي). المادة (12):- يبت رئيس الجامعة في الحالات التي لم يرد عليها نص في هذه التعليمات.", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 22, "language": "Arabic", "was_translated": false }, { "text": "البرنامج المسائي). المادة (12):- يبت رئيس الجامعة في الحالات التي لم يرد عليها نص في هذه التعليمات.", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 23, "language": "Arabic", "was_translated": false }, { "text": "الجدول رقم (1) رسوم الساعات المعتمدة تخصصات كلية الآداب تخصصات كلية إدارة الأعمال تخصصات كلية الشريعة تخصصات كلية العلوم التربوية تخصصات كلية العلوم الاجتماعية والانسانية تخصصات كلية الفنون والتصميم تخصصات كلية العلوم تخصصات كلية الزراعة تخصصات كلية الهندسة والتكنولوجيا تخصصات كلية علوم التأهيل تخصصات كلية الصيدلة تخصصات كلية الملك عبدالله الثاني لتكنولوجيا المعلومات الجدول رقم (2) الرسوم", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 24, "language": "Arabic", "was_translated": false }, { "text": "أهيل تخصصات كلية الصيدلة تخصصات كلية الملك عبدالله الثاني لتكنولوجيا المعلومات الجدول رقم (2) الرسوم المتفرقة الأخرى", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 25, "language": "Arabic", "was_translated": false }, { "text": "الصيدلة تخصصات كلية الملك عبدالله الثاني لتكنولوجيا المعلومات الجدول رقم (2) الرسوم المتفرقة الأخرى", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 26, "language": "Arabic", "was_translated": false }, { "text": "\"(*) تعليمات قبول الطلبة في الجامعة الأردنية لمرحلة البكالوريوس\" صادرة عن مجلس العمداء بموجب قراره رقم (1276/ 2015) تاريخ 13/8/2015 استناداً إلى المادة (17/ب/11) من (قانون الجامعات الأردنية رقم 20 لسنة 2009) وتعديلاته. المادة (1): تسمى هذه التعليمات \"تعليمات قبول الطلبة في الجامعة الأردنية لمرحلة البكالوريوس\"، ويُعمل بها اعتباراً من بدء العام الجامعي 2015/2016.", "source": "تعليمات قبول الطلبة في الجامعة الأردنية لمرحلة البكالوريوس.docx", "chunk_id": 1, "language": "Arabic", "was_translated": false }, { "text": "الطلبة في الجامعة الأردنية لمرحلة البكالوريوس\"، ويُعمل بها اعتباراً من بدء العام الجامعي 2015/2016. المادة (2): يحدد مجلس العمداء قبل بداية كل عام جامعي أعداد الطلبة الذين يمكن قبولهم في البرامج العادية والموازية والدولية في جميع التخصصات في الجامعة، وينسب بذلك إلى مجلس التعليم العالي.", "source": "تعليمات قبول الطلبة في الجامعة الأردنية لمرحلة البكالوريوس.docx", "chunk_id": 2, "language": "Arabic", "was_translated": false }, { "text": "البرامج العادية والموازية والدولية في جميع التخصصات في الجامعة، وينسب بذلك إلى مجلس التعليم العالي. المادة (3): يقبل الطلبة في الجامعة الأردنية في مختلف التخصصات وفق أسس القبول التي يصدرها مجلس التعليم العالي سنوياً. المادة (4): يُحدد مجلس العمداء الشروط الإضافية الأخرى لقبول الطلبة في بعض التخصصات التي تقتضي طبيعتها ذلك وذلك وفق أسس يصدرها مجلس العمداء لهذه الغاية.", "source": "تعليمات قبول الطلبة في الجامعة الأردنية لمرحلة البكالوريوس.docx", "chunk_id": 3, "language": "Arabic", "was_translated": false }, { "text": "رى لقبول الطلبة في بعض التخصصات التي تقتضي طبيعتها ذلك وذلك وفق أسس يصدرها مجلس العمداء لهذه الغاية. المادة (5): يخضع قبول الطلبة في كلية التربية الرياضية لفحص طبي تجريه لجنة طبية خاصة تشكل لهذه الغاية، وتقيس هذه اللجنة اللياقة الصحية والبدنية للطلبة قبل التحاقهم فيها.", "source": "تعليمات قبول الطلبة في الجامعة الأردنية لمرحلة البكالوريوس.docx", "chunk_id": 4, "language": "Arabic", "was_translated": false }, { "text": "لجنة طبية خاصة تشكل لهذه الغاية، وتقيس هذه اللجنة اللياقة الصحية والبدنية للطلبة قبل التحاقهم فيها.", "source": "تعليمات قبول الطلبة في الجامعة الأردنية لمرحلة البكالوريوس.docx", "chunk_id": 5, "language": "Arabic", "was_translated": false }, { "text": "المادة (6): 1-(1) يقبل في الجامعة أبناء أعضاء هيئة التدريس، وأبناء أعضاء هيئة الباحثين العاملين فيها، وإذا ترك العمل في الجامعة قبل إكمال مدة سنة كاملة فعلية على الأقل، أو استغني عن خدمته في الجامعة، أو اعتبر فاقداً لوظيفته، أو عُزل من الخدمة، فإن قبول إبنه في البرنامج العادي في الجامعة يعد لاغياً، ويتم تحويل القبول للبرنامج الموازي إن رغب في ذلك، ما لم يكن معدله يؤهله للقبول في البرنامج العادي", "source": "تعليمات قبول الطلبة في الجامعة الأردنية لمرحلة البكالوريوس.docx", "chunk_id": 6, "language": "Arabic", "was_translated": false }, { "text": "ً، ويتم تحويل القبول للبرنامج الموازي إن رغب في ذلك، ما لم يكن معدله يؤهله للقبول في البرنامج العادي وفقاً لمعدلات القبول الموحد في السنة التي قبل فيها. 2- يقبل أبناء أعضاء هيئة التدريس وأعضاء هيئة الباحثين السابقين الذين أمضوا عشرة سنوات على الأقل في خدمة الجامعة، باستثناء الذين استغني عن خدماتهم، أو اعتبروا فاقدين لوظائفهم، أو عزلوا من الخدمة.", "source": "تعليمات قبول الطلبة في الجامعة الأردنية لمرحلة البكالوريوس.docx", "chunk_id": 7, "language": "Arabic", "was_translated": false }, { "text": "ل في خدمة الجامعة، باستثناء الذين استغني عن خدماتهم، أو اعتبروا فاقدين لوظائفهم، أو عزلوا من الخدمة. 3- يقبل أبناء أعضاء هيئة التدريس وأعضاء هيئة الباحثين الذين انتهت خدماتهم بسبب المرض، أو بلوغهم السن القانونية، أو الوفاة. 4-لا يجوز لأعضاء هيئة التدريس وأعضاء هيئة الباحثين الذين يقضون في الجامعة إجازة تفرغ علمي أو إجازة بدون راتب الاستفادة من هذه المادة.", "source": "تعليمات قبول الطلبة في الجامعة الأردنية لمرحلة البكالوريوس.docx", "chunk_id": 8, "language": "Arabic", "was_translated": false }, { "text": "ضاء هيئة الباحثين الذين يقضون في الجامعة إجازة تفرغ علمي أو إجازة بدون راتب الاستفادة من هذه المادة.", "source": "تعليمات قبول الطلبة في الجامعة الأردنية لمرحلة البكالوريوس.docx", "chunk_id": 9, "language": "Arabic", "was_translated": false }, { "text": "المادة (7): يخصص ما لا يزيد على (2%) من أعداد الطلبة المقبولين في الجامعة من جميع أنواع القبول سنوياً لأبناء العاملين فيها من غير أعضاء هيئة التدريس ممن أمضوا ثلاث سنوات متصلة على الأقل في الخدمة، وأبناء العاملين الذين أمضوا عشرة سنوات على الأقل في خدمة الجامعة، ويُقبل كذلك أبناء العاملين الذين انتهت خدماتهم بسبب المرض، أو بلوغهم السن القانونية أو الوفاة ، باستثناء الذين استغني عن خدماتهم، أو", "source": "تعليمات قبول الطلبة في الجامعة الأردنية لمرحلة البكالوريوس.docx", "chunk_id": 10, "language": "Arabic", "was_translated": false }, { "text": "انتهت خدماتهم بسبب المرض، أو بلوغهم السن القانونية أو الوفاة ، باستثناء الذين استغني عن خدماتهم، أو عزلوا من الخدمة. المادة (8): (2) يخصص ما لا يزيد على (5%) من المقاعد المخصصة لأبناء الفئات المشار اليها في المادتين (6) و (7) من هذه التعليمات الحاصلين على شهادة الثانوية العامة- او ما يعادلها- في سنوات سابقة.", "source": "تعليمات قبول الطلبة في الجامعة الأردنية لمرحلة البكالوريوس.docx", "chunk_id": 11, "language": "Arabic", "was_translated": false }, { "text": "مادتين (6) و (7) من هذه التعليمات الحاصلين على شهادة الثانوية العامة- او ما يعادلها- في سنوات سابقة. المادة (9): يجوز قبول الطلبة المتفوقين رياضياً وفنياً وعلمياً وبحثياً وفق الأسس التي يقرها مجلس التعليم العالي.", "source": "تعليمات قبول الطلبة في الجامعة الأردنية لمرحلة البكالوريوس.docx", "chunk_id": 12, "language": "Arabic", "was_translated": false }, { "text": "يجوز قبول الطلبة المتفوقين رياضياً وفنياً وعلمياً وبحثياً وفق الأسس التي يقرها مجلس التعليم العالي. المادة (10): يقبل في الجامعة الاردنية من أبناء أعضاء هيئة التدريس الأردنيين العاملين في الجامعات الرسمية الأخرى في تخصصات لا تتوافر في تلك الجامعات عدد من الطلبة يقرره مجلس التعليم العالي في بداية كل عام جامعي .", "source": "تعليمات قبول الطلبة في الجامعة الأردنية لمرحلة البكالوريوس.docx", "chunk_id": 13, "language": "Arabic", "was_translated": false }, { "text": "في تخصصات لا تتوافر في تلك الجامعات عدد من الطلبة يقرره مجلس التعليم العالي في بداية كل عام جامعي . المادة (11): لا يجوز قبول الطالب الأردني وغير الأردني الحاصل على شهادة الثانوية العامة الأجنبية (غير العربية) إلا إذا أحضر شهادة معادلة حسب الأصول من وزارة التربية والتعليم الأردنية. المادة (12): أ- تُقبل في البرنامج الموازي الفئات التالية حسب نسبة المتقدمين من كل نوع من أنواع الشهادات: 1.", "source": "تعليمات قبول الطلبة في الجامعة الأردنية لمرحلة البكالوريوس.docx", "chunk_id": 14, "language": "Arabic", "was_translated": false }, { "text": "(12): أ- تُقبل في البرنامج الموازي الفئات التالية حسب نسبة المتقدمين من كل نوع من أنواع الشهادات: 1. الطلبة الأردنيون الحاصلون على شهادة الدراسة الثانوية العامة الأردنية. 2. الطلبة الأردنيون الحاصلون على شهادة الدراسة الثانوية العامة غير الأردنية. 3. الطلبة الأردنيون الحاصلون على شهادة الدراسة الثانوية العامة الأردنية وغير الأردنية في السنوات السابقة.", "source": "تعليمات قبول الطلبة في الجامعة الأردنية لمرحلة البكالوريوس.docx", "chunk_id": 15, "language": "Arabic", "was_translated": false }, { "text": "طلبة الأردنيون الحاصلون على شهادة الدراسة الثانوية العامة الأردنية وغير الأردنية في السنوات السابقة. ب ) يُخصّص ما لا يزيد على (10%) من مقاعد كل تخصص في البرنامج الموازي لأبناء أعضاء هيئة التدريس وأبناء العاملين في الجامعة ج) يُقبل في البرنامج الدولي الطالب الذي يحمل جنسية غير أردنية وحصل على شهادة الدراسة الثانوية العامة من داخل الأردن أو خارجه.", "source": "تعليمات قبول الطلبة في الجامعة الأردنية لمرحلة البكالوريوس.docx", "chunk_id": 16, "language": "Arabic", "was_translated": false }, { "text": "لي الطالب الذي يحمل جنسية غير أردنية وحصل على شهادة الدراسة الثانوية العامة من داخل الأردن أو خارجه. المادة (13): إذا قبل طالب في الجامعة وعودلت له مواد درسها في جامعة أخرى أو كلية جامعية فلا تُحسب علامات المواد التي تمت معادلتها في المعدل التراكمي في الجامعة الأردنية. المادة (14): لا يجوز لمن التحق بالبرنامج الموازي أو البرنامج الدولي التحويل إلى البرنامج العادي.", "source": "تعليمات قبول الطلبة في الجامعة الأردنية لمرحلة البكالوريوس.docx", "chunk_id": 17, "language": "Arabic", "was_translated": false }, { "text": "ية. المادة (14): لا يجوز لمن التحق بالبرنامج الموازي أو البرنامج الدولي التحويل إلى البرنامج العادي. المادة (15): لا تسري الإعفاءات المالية على أي طالب التحق بالبرنامج الموازي أو البرنامج الدولي في الجامعة. المادة (16): تقرأ هذه التعليمات مع أسس القبول التي يقرها مجلس التعليم العالي في بداية كل عام جامعي . المادة (17): يبت رئيس الجامعة في الحالات التي لم يرد فيها نص في هذه التعليمات.", "source": "تعليمات قبول الطلبة في الجامعة الأردنية لمرحلة البكالوريوس.docx", "chunk_id": 18, "language": "Arabic", "was_translated": false }, { "text": "بداية كل عام جامعي . المادة (17): يبت رئيس الجامعة في الحالات التي لم يرد فيها نص في هذه التعليمات. المادة (18): تُلغي هذه التعليمات أي تعليمات أخرى سابقة تتعارض مع مضمونها. المادة (19): رئيس الجامعة والمسجل العام مسؤولان عن تنفيذ هذه التعليمات.", "source": "تعليمات قبول الطلبة في الجامعة الأردنية لمرحلة البكالوريوس.docx", "chunk_id": 19, "language": "Arabic", "was_translated": false }, { "text": "خرى سابقة تتعارض مع مضمونها. المادة (19): رئيس الجامعة والمسجل العام مسؤولان عن تنفيذ هذه التعليمات.", "source": "تعليمات قبول الطلبة في الجامعة الأردنية لمرحلة البكالوريوس.docx", "chunk_id": 20, "language": "Arabic", "was_translated": false }, { "text": "جدول امتحانات منتصف الفصل الدراسي الثاني 2025-2026 كلية تكنولوجيا المعلومات - الجامعة الأردنية الجمل الوصفية الكاملة لكل مادة =========================================================== [ 1 ] المهارات الرقمية الحديثة كود: 0309103 ----------------------------------------------------------- - امتحان مادة المهارات الرقمية الحديثة بكود 0309103 سيُعقد في الجامعة الأردنية يوم الأربعاء الموافق الأول من", "source": "جدول امتحانات الميد.docx", "chunk_id": 1, "language": "Arabic", "was_translated": false }, { "text": "مادة المهارات الرقمية الحديثة بكود 0309103 سيُعقد في الجامعة الأردنية يوم الأربعاء الموافق الأول من أبريل عام 2026. - مادة المهارات الرقمية الحديثة رقمها 0309103 وهي من تنسيق المدرس م. لمى رجب، ويبلغ عدد الطلاب المسجلين فيها 3628 طالباً وطالبة. - يبدأ امتحان المهارات الرقمية الحديثة الساعة التاسعة صباحاً وينتهي الساعة الواحدة بعد الظهر، أي أن مدته أربع ساعات كاملة.", "source": "جدول امتحانات الميد.docx", "chunk_id": 2, "language": "Arabic", "was_translated": false }, { "text": "الرقمية الحديثة الساعة التاسعة صباحاً وينتهي الساعة الواحدة بعد الظهر، أي أن مدته أربع ساعات كاملة. - امتحان المهارات الرقمية الحديثة هو أكبر امتحان في الجدول من حيث عدد الطلاب إذ يبلغ 3628 طالباً، ويُعقد في مختبرات تكنولوجيا عديدة منها 201 و202 و205 و206 و207 و301 والمختبرات الأخرى.", "source": "جدول امتحانات الميد.docx", "chunk_id": 3, "language": "Arabic", "was_translated": false }, { "text": "3628 طالباً، ويُعقد في مختبرات تكنولوجيا عديدة منها 201 و202 و205 و206 و207 و301 والمختبرات الأخرى. - في يوم الأربعاء 1/4/2026 يوجد امتحان كبير جداً لمادة 0309103 المهارات الرقمية الحديثة من الساعة 9 صباحاً حتى الساعة 1 ظهراً بإشراف م. لمى رجب. - المنسق المسؤول عن مادة المهارات الرقمية الحديثة هو م. لمى رجب، وهذه المادة تُعقد يوم الأربعاء من 9:00 إلى 13:00.", "source": "جدول امتحانات الميد.docx", "chunk_id": 4, "language": "Arabic", "was_translated": false }, { "text": "ول عن مادة المهارات الرقمية الحديثة هو م. لمى رجب، وهذه المادة تُعقد يوم الأربعاء من 9:00 إلى 13:00. [ 2 ] الرسم بالحاسوب (امتحان قصير) كود: 1901359 ----------------------------------------------------------- - امتحان مادة الرسم بالحاسوب كود 1901359 يُعقد يوم الأربعاء 1/4/2026 من الساعة 1:00 ظهراً حتى الساعة 1:30 ظهراً، وهو امتحان قصير مدته 30 دقيقة فقط. - أ.", "source": "جدول امتحانات الميد.docx", "chunk_id": 5, "language": "Arabic", "was_translated": false }, { "text": "لأربعاء 1/4/2026 من الساعة 1:00 ظهراً حتى الساعة 1:30 ظهراً، وهو امتحان قصير مدته 30 دقيقة فقط. - أ.د حازم الحياري هو منسق مادة الرسم بالحاسوب 1901359، ويبلغ عدد الطلاب 81 طالباً، ويُعقد الامتحان في مختبرات تكنولوجيا 104 و105 و203. - مادة الرسم بالحاسوب 1901359 لديها امتحان قصير (قصرب) يوم الأربعاء 1 أبريل 2026 الساعة 1:00 إلى 1:30 ظهراً بإشراف الدكتور حازم الحياري.", "source": "جدول امتحانات الميد.docx", "chunk_id": 6, "language": "Arabic", "was_translated": false }, { "text": "امتحان قصير (قصرب) يوم الأربعاء 1 أبريل 2026 الساعة 1:00 إلى 1:30 ظهراً بإشراف الدكتور حازم الحياري. - الامتحان القصير لمادة 1901359 الرسم بالحاسوب يُعقد في نفس يوم الأربعاء 1/4/2026 لكن في وقت مختلف من 13:00 إلى 13:30 في مختبرات تكنولوجيا المعلومات.", "source": "جدول امتحانات الميد.docx", "chunk_id": 7, "language": "Arabic", "was_translated": false }, { "text": "عقد في نفس يوم الأربعاء 1/4/2026 لكن في وقت مختلف من 13:00 إلى 13:30 في مختبرات تكنولوجيا المعلومات. [ 3 ] نظرية الخوارزميات كود: 1901341 ----------------------------------------------------------- - امتحان مادة نظرية الخوارزميات كود 1901341 يُعقد يوم الخميس الموافق 9 أبريل 2026 من الساعة 3:30 عصراً حتى الساعة 4:30 عصراً. - أ.", "source": "جدول امتحانات الميد.docx", "chunk_id": 8, "language": "Arabic", "was_translated": false }, { "text": "ت كود 1901341 يُعقد يوم الخميس الموافق 9 أبريل 2026 من الساعة 3:30 عصراً حتى الساعة 4:30 عصراً. - أ.د عزام سليط هو منسق مادة نظرية الخوارزميات 1901341، ويبلغ عدد الطلاب المسجلين 330 طالباً. - مادة 1901341 نظرية الخوارزميات تُعقد في مختبرات تكنولوجيا 102 و201 و202 و205 و206 و207 و301 و302 و104.", "source": "جدول امتحانات الميد.docx", "chunk_id": 9, "language": "Arabic", "was_translated": false }, { "text": "دة 1901341 نظرية الخوارزميات تُعقد في مختبرات تكنولوجيا 102 و201 و202 و205 و206 و207 و301 و302 و104. - لمادة نظرية الخوارزميات 1901341 امتحان قصير (قصرب) بتاريخ 2/4/2026 من 15:30 إلى 16:00، بالإضافة إلى الامتحان الرئيسي يوم 9/4/2026. - الامتحان الرئيسي لنظرية الخوارزميات يوم الخميس 9 أبريل 2026 الساعة 3:30 عصراً لمدة ساعة كاملة بإشراف أ.د عزام سليط.", "source": "جدول امتحانات الميد.docx", "chunk_id": 10, "language": "Arabic", "was_translated": false }, { "text": "ي لنظرية الخوارزميات يوم الخميس 9 أبريل 2026 الساعة 3:30 عصراً لمدة ساعة كاملة بإشراف أ.د عزام سليط. [ 4 ] برمجة متقدمة بلغة الجافا باستخدام Eclipse كود: 1902214 ----------------------------------------------------------- - امتحان مادة برمجة متقدمة بلغة الجافا باستخدام Eclipse كود 1902214 يُعقد يوم الأربعاء 11/3/2026 من الساعة 11:10 حتى 14:20. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 11, "language": "Arabic", "was_translated": false }, { "text": "لغة الجافا باستخدام Eclipse كود 1902214 يُعقد يوم الأربعاء 11/3/2026 من الساعة 11:10 حتى 14:20. - د. إرساء الزغول هي منسقة مادة 1902214 برمجة متقدمة بلغة الجافا، وعدد الطلاب 66 طالباً، ويُعقد الامتحان في كلية الطب. - مادة البرمجة المتقدمة بلغة الجافا Eclipse كودها 1902214 وتنتهي من امتحانها في منتصف الفصل قبيل نهاية مارس 2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 12, "language": "Arabic", "was_translated": false }, { "text": "ة المتقدمة بلغة الجافا Eclipse كودها 1902214 وتنتهي من امتحانها في منتصف الفصل قبيل نهاية مارس 2026. [ 5 ] وسائل التواصل الاجتماعي كود: 0309101 ----------------------------------------------------------- - مادة وسائل التواصل الاجتماعي كود 0309101 ينسقها أ.د رزق السيد ويبلغ عدد الطلاب 600 طالب، وهي من المواد الكبيرة جداً في الجدول.", "source": "جدول امتحانات الميد.docx", "chunk_id": 13, "language": "Arabic", "was_translated": false }, { "text": "عي كود 0309101 ينسقها أ.د رزق السيد ويبلغ عدد الطلاب 600 طالب، وهي من المواد الكبيرة جداً في الجدول. - امتحان القسم الأول لمادة 0309101 وسائل التواصل الاجتماعي يُعقد يوم الاثنين 6/4/2026 من الساعة 10:00 حتى 11:00 صباحاً. - امتحان القسم الثاني لمادة 0309101 وسائل التواصل الاجتماعي يُعقد يوم الخميس 16/4/2026 من الساعة 15:30 حتى 16:30 عصراً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 14, "language": "Arabic", "was_translated": false }, { "text": "ني لمادة 0309101 وسائل التواصل الاجتماعي يُعقد يوم الخميس 16/4/2026 من الساعة 15:30 حتى 16:30 عصراً. - مادة وسائل التواصل الاجتماعي 0309101 تُعقد امتحاناتها في قاعات متعددة تشمل مختبرات التكنولوجيا وقاعات ST وكليات التأهيل والزراعة والآداب والهندسة والحقوق. - أ.د رزق السيد هو المنسق لمادة وسائل التواصل الاجتماعي ذات الـ 600 طالب، وهي تُعقد في أوقات مختلفة لشعبها المختلفة.", "source": "جدول امتحانات الميد.docx", "chunk_id": 15, "language": "Arabic", "was_translated": false }, { "text": "هو المنسق لمادة وسائل التواصل الاجتماعي ذات الـ 600 طالب، وهي تُعقد في أوقات مختلفة لشعبها المختلفة. [ 6 ] شبكات الحاسوب كود: 1901363 ----------------------------------------------------------- - امتحان مادة شبكات الحاسوب كود 1901363 يُعقد يوم الثلاثاء 7/4/2026 من الساعة 2:00 ظهراً حتى 3:00 عصراً. - مادة 1901363 شبكات الحاسوب ينسقها أ.", "source": "جدول امتحانات الميد.docx", "chunk_id": 16, "language": "Arabic", "was_translated": false }, { "text": "قد يوم الثلاثاء 7/4/2026 من الساعة 2:00 ظهراً حتى 3:00 عصراً. - مادة 1901363 شبكات الحاسوب ينسقها أ. إيعة صالح الراشد، ويبلغ عدد الطلاب 291 طالباً، وتُعقد في مختبرات 102 و201 و202 و205 و206 و207 و301 و302. - يوم الثلاثاء 7 أبريل 2026 يوجد امتحان شبكات الحاسوب 1901363 من الساعة 14:00 إلى 15:00 لـ 291 طالباً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 17, "language": "Arabic", "was_translated": false }, { "text": "يوم الثلاثاء 7 أبريل 2026 يوجد امتحان شبكات الحاسوب 1901363 من الساعة 14:00 إلى 15:00 لـ 291 طالباً. [ 7 ] هندسة الحاسوب ولغة التجميع كود: 1911231 ----------------------------------------------------------- - مادة هندسة الحاسوب ولغة التجميع كود 1911231 لها امتحان رئيسي يوم الخميس 9/4/2026 من 14:00 إلى 15:00 بإشراف م. ناصر الدين لـ 81 طالباً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 18, "language": "Arabic", "was_translated": false }, { "text": "د 1911231 لها امتحان رئيسي يوم الخميس 9/4/2026 من 14:00 إلى 15:00 بإشراف م. ناصر الدين لـ 81 طالباً. - هناك أيضاً امتحان قصير لمادة 1911231 هندسة الحاسوب ولغة التجميع يوم الأربعاء 1/4/2026 من 12:30 إلى 13:00 بإشراف أ. إيعه صالح الراشد لـ 102 طالب. - مادة هندسة الحاسوب ولغة التجميع 1911231 تُعقد في مختبرات تكنولوجيا 002 و206 و207.", "source": "جدول امتحانات الميد.docx", "chunk_id": 19, "language": "Arabic", "was_translated": false }, { "text": "اشد لـ 102 طالب. - مادة هندسة الحاسوب ولغة التجميع 1911231 تُعقد في مختبرات تكنولوجيا 002 و206 و207. [ 8 ] رياضيات منفصلة كود: 1901101 ----------------------------------------------------------- - امتحان مادة رياضيات منفصلة كود 1901101 يُعقد يوم السبت 11/4/2026 من الساعة 9:00 صباحاً حتى 10:00 صباحاً. - مادة الرياضيات المنفصلة 1901101 ينسقها م.", "source": "جدول امتحانات الميد.docx", "chunk_id": 20, "language": "Arabic", "was_translated": false }, { "text": "السبت 11/4/2026 من الساعة 9:00 صباحاً حتى 10:00 صباحاً. - مادة الرياضيات المنفصلة 1901101 ينسقها م. نبيل العساف، ويبلغ عدد الطلاب 212 طالباً، وتُعقد في مختبرات عديدة تشمل 101 و102 و103 و202 و203 و204 و205 و206 و207 و301 و302 و303. - يوم السبت 11 أبريل 2026 يوجد امتحان رياضيات منفصلة 1901101 لـ 212 طالباً من الساعة 9 إلى 10 صباحاً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 21, "language": "Arabic", "was_translated": false }, { "text": "يوم السبت 11 أبريل 2026 يوجد امتحان رياضيات منفصلة 1901101 لـ 212 طالباً من الساعة 9 إلى 10 صباحاً. [ 9 ] الأدلة الجنائية الرقمية كود: 1911483 ----------------------------------------------------------- - امتحان مادة الأدلة الجنائية الرقمية كود 1911483 يُعقد يوم السبت 11/4/2026 من الساعة 9:00 إلى 10:00 صباحاً بإشراف د. أحمد الحويطات.", "source": "جدول امتحانات الميد.docx", "chunk_id": 22, "language": "Arabic", "was_translated": false }, { "text": "رقمية كود 1911483 يُعقد يوم السبت 11/4/2026 من الساعة 9:00 إلى 10:00 صباحاً بإشراف د. أحمد الحويطات. - مادة 1911483 الأدلة الجنائية الرقمية عدد طلابها 62 طالباً وتُعقد في مختبرات تكنولوجيا 104 و105 و203. - د. أحمد الحويطات يشرف على امتحان الأدلة الجنائية الرقمية يوم السبت 11 أبريل 2026 من 9 إلى 10 صباحاً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 23, "language": "Arabic", "was_translated": false }, { "text": "د. أحمد الحويطات يشرف على امتحان الأدلة الجنائية الرقمية يوم السبت 11 أبريل 2026 من 9 إلى 10 صباحاً. [ 10 ] حزم إحصائية كود: 1904255 ----------------------------------------------------------- - امتحان مادة الحزم الإحصائية كود 1904255 يُعقد يوم الثلاثاء 14/4/2026 من الساعة 8:30 صباحاً حتى 9:30 صباحاً. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 24, "language": "Arabic", "was_translated": false }, { "text": "الحزم الإحصائية كود 1904255 يُعقد يوم الثلاثاء 14/4/2026 من الساعة 8:30 صباحاً حتى 9:30 صباحاً. - د. بشار الشبول ينسق مادة الحزم الإحصائية 1904255، وعدد الطلاب 15 طالباً فقط، وتُعقد في مختبر تكنولوجيا ط/1ق5. - مادة 1904255 حزم إحصائية هي من المواد ذات العدد القليل من الطلاب 15 طالباً، وامتحانها يوم الثلاثاء 14/4/2026 صباحاً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 25, "language": "Arabic", "was_translated": false }, { "text": "إحصائية هي من المواد ذات العدد القليل من الطلاب 15 طالباً، وامتحانها يوم الثلاثاء 14/4/2026 صباحاً. [ 11 ] البرمجة للأمن السيبراني كود: 1911211 ----------------------------------------------------------- - امتحان مادة البرمجة للأمن السيبراني كود 1911211 يُعقد يوم الثلاثاء 14/4/2026 من الساعة 9:30 حتى 10:30 صباحاً. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 26, "language": "Arabic", "was_translated": false }, { "text": "برمجة للأمن السيبراني كود 1911211 يُعقد يوم الثلاثاء 14/4/2026 من الساعة 9:30 حتى 10:30 صباحاً. - د. مالك العيسى هو منسق مادة البرمجة للأمن السيبراني 1911211، وعدد طلابها 23 طالباً، وتُعقد في مختبر تكنولوجيا 104. - مادة 1911211 البرمجة للأمن السيبراني امتحانها يوم الثلاثاء 14 أبريل 2026 من 9:30 إلى 10:30 بإشراف د. مالك العيسى.", "source": "جدول امتحانات الميد.docx", "chunk_id": 27, "language": "Arabic", "was_translated": false }, { "text": "البرمجة للأمن السيبراني امتحانها يوم الثلاثاء 14 أبريل 2026 من 9:30 إلى 10:30 بإشراف د. مالك العيسى. [ 12 ] بحوث عمليات كود: 1904341 ----------------------------------------------------------- - امتحان مادة بحوث العمليات كود 1904341 يُعقد يوم الثلاثاء 14/4/2026 من الساعة 9:30 حتى 10:30 صباحاً. - أ.د حامد البدور ينسق مادة بحوث العمليات 1904341، وعدد الطلاب 19 طالباً، وتُعقد في مختبر تكنولوجيا 303.", "source": "جدول امتحانات الميد.docx", "chunk_id": 28, "language": "Arabic", "was_translated": false }, { "text": "د حامد البدور ينسق مادة بحوث العمليات 1904341، وعدد الطلاب 19 طالباً، وتُعقد في مختبر تكنولوجيا 303. - مادة 1904341 بحوث عمليات في نفس وقت مادة 1911211 البرمجة للأمن السيبراني أي يوم الثلاثاء 14/4/2026 من 9:30 إلى 10:30 لكن في قاعة مختلفة.", "source": "جدول امتحانات الميد.docx", "chunk_id": 29, "language": "Arabic", "was_translated": false }, { "text": "مادة 1911211 البرمجة للأمن السيبراني أي يوم الثلاثاء 14/4/2026 من 9:30 إلى 10:30 لكن في قاعة مختلفة. [ 13 ] التحليل العددي كود: 1905120 ----------------------------------------------------------- - امتحان مادة التحليل العددي كود 1905120 يُعقد يوم الثلاثاء 14/4/2026 من الساعة 10:30 حتى 11:30 صباحاً. - أ.", "source": "جدول امتحانات الميد.docx", "chunk_id": 30, "language": "Arabic", "was_translated": false }, { "text": "مادة التحليل العددي كود 1905120 يُعقد يوم الثلاثاء 14/4/2026 من الساعة 10:30 حتى 11:30 صباحاً. - أ.د شربيناز تنسق مادة التحليل العددي 1905120، وعدد الطلاب 73 طالباً، وتُعقد في مختبرات تكنولوجيا 104 و105 و203. - مادة 1905120 التحليل العددي امتحانها يوم الثلاثاء 14 أبريل 2026 من الساعة 10:30 إلى 11:30.", "source": "جدول امتحانات الميد.docx", "chunk_id": 31, "language": "Arabic", "was_translated": false }, { "text": "5 و203. - مادة 1905120 التحليل العددي امتحانها يوم الثلاثاء 14 أبريل 2026 من الساعة 10:30 إلى 11:30. [ 14 ] برمجة النظم وبناء المجمعات كود: 1901476 ----------------------------------------------------------- - امتحان مادة برمجة النظم وبناء المجمعات كود 1901476 يُعقد يوم الأربعاء 15/4/2026 من الساعة 9:00 حتى 10:00 صباحاً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 32, "language": "Arabic", "was_translated": false }, { "text": "برمجة النظم وبناء المجمعات كود 1901476 يُعقد يوم الأربعاء 15/4/2026 من الساعة 9:00 حتى 10:00 صباحاً. - مادة 1901476 برمجة النظم وبناء المجمعات عدد طلابها 56 طالباً وتُعقد في مختبر ط/1ق3 ومختبرات 104 و105 و203. - يوم الأربعاء 15 أبريل 2026 من 9 إلى 10 صباحاً يوجد امتحان برمجة النظم وبناء المجمعات 1901476.", "source": "جدول امتحانات الميد.docx", "chunk_id": 33, "language": "Arabic", "was_translated": false }, { "text": "203. - يوم الأربعاء 15 أبريل 2026 من 9 إلى 10 صباحاً يوجد امتحان برمجة النظم وبناء المجمعات 1901476. [ 15 ] التمثيل المرن للبيانات كود: 1915441 ----------------------------------------------------------- - امتحان مادة التمثيل المرن للبيانات كود 1915441 يُعقد يوم الأربعاء 15/4/2026 من الساعة 9:00 حتى 10:00 صباحاً. - أ.", "source": "جدول امتحانات الميد.docx", "chunk_id": 34, "language": "Arabic", "was_translated": false }, { "text": "لتمثيل المرن للبيانات كود 1915441 يُعقد يوم الأربعاء 15/4/2026 من الساعة 9:00 حتى 10:00 صباحاً. - أ.د عمر القاضي ينسق مادة 1915441 التمثيل المرن للبيانات، وعدد الطلاب 32 طالباً، وتُعقد في مختبر تكنولوجيا 304 و001. - مادة التمثيل المرن للبيانات 1915441 في نفس وقت مادة برمجة النظم 1901476 أي الأربعاء 15/4/2026 من 9:00 إلى 10:00.", "source": "جدول امتحانات الميد.docx", "chunk_id": 35, "language": "Arabic", "was_translated": false }, { "text": "المرن للبيانات 1915441 في نفس وقت مادة برمجة النظم 1901476 أي الأربعاء 15/4/2026 من 9:00 إلى 10:00. [ 16 ] البرمجة المتقدمة بلغات خاصة كود: 1901212 ----------------------------------------------------------- - امتحان مادة البرمجة المتقدمة بلغات خاصة كود 1901212 يُعقد يوم الأربعاء 15/4/2026 من الساعة 11:30 حتى 14:30. - مادة 1901212 البرمجة المتقدمة بلغات خاصة ينسقها أ.", "source": "جدول امتحانات الميد.docx", "chunk_id": 36, "language": "Arabic", "was_translated": false }, { "text": "م الأربعاء 15/4/2026 من الساعة 11:30 حتى 14:30. - مادة 1901212 البرمجة المتقدمة بلغات خاصة ينسقها أ. إيعه صالح الراشد، وعدد الطلاب 102 طالباً. - مدة امتحان البرمجة المتقدمة بلغات خاصة 1901212 ثلاث ساعات كاملة من 11:30 إلى 14:30 يوم الأربعاء 15/4/2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 37, "language": "Arabic", "was_translated": false }, { "text": "تحان البرمجة المتقدمة بلغات خاصة 1901212 ثلاث ساعات كاملة من 11:30 إلى 14:30 يوم الأربعاء 15/4/2026. [ 17 ] أساسيات علم البيانات كود: 1915121 ----------------------------------------------------------- - امتحان مادة أساسيات علم البيانات كود 1915121 يُعقد يوم الأربعاء 15/4/2026 من الساعة 13:00 حتى 14:00. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 38, "language": "Arabic", "was_translated": false }, { "text": "ن مادة أساسيات علم البيانات كود 1915121 يُعقد يوم الأربعاء 15/4/2026 من الساعة 13:00 حتى 14:00. - د. الروضان تنسق مادة 1915121 أساسيات علم البيانات، وعدد الطلاب 44 طالباً، وتُعقد في مختبرات 002 و206 و207. - مادة أساسيات علم البيانات 1915121 امتحانها يوم الأربعاء 15 أبريل 2026 ظهراً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 39, "language": "Arabic", "was_translated": false }, { "text": "ختبرات 002 و206 و207. - مادة أساسيات علم البيانات 1915121 امتحانها يوم الأربعاء 15 أبريل 2026 ظهراً. [ 18 ] تقنيات وتطبيقات قواعد البيانات كود: 1902324 ----------------------------------------------------------- - امتحان مادة تقنيات وتطبيقات قواعد البيانات كود 1902324 يُعقد يوم الخميس 16/4/2026 من الساعة 10:30 حتى 11:30 صباحاً. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 40, "language": "Arabic", "was_translated": false }, { "text": "تطبيقات قواعد البيانات كود 1902324 يُعقد يوم الخميس 16/4/2026 من الساعة 10:30 حتى 11:30 صباحاً. - د. ريم الفايز تنسق مادة 1902324 تقنيات وتطبيقات قواعد البيانات، وعدد الطلاب 62 طالباً، وتُعقد في مختبرات 104 و105 و203. - مادة تقنيات وتطبيقات قواعد البيانات 1902324 امتحانها يوم الخميس 16 أبريل 2026 من 10:30 إلى 11:30.", "source": "جدول امتحانات الميد.docx", "chunk_id": 41, "language": "Arabic", "was_translated": false }, { "text": "- مادة تقنيات وتطبيقات قواعد البيانات 1902324 امتحانها يوم الخميس 16 أبريل 2026 من 10:30 إلى 11:30. [ 19 ] اعداد وظيفي مشبك كود: 1904345 ----------------------------------------------------------- - امتحان مادة الاعداد الوظيفي كود 1904345 يُعقد يوم الأربعاء 15/4/2026 من الساعة 14:30 حتى 15:30 عصراً. - مادة 1904345 الاعداد الوظيفي تنسقها د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 42, "language": "Arabic", "was_translated": false }, { "text": "عقد يوم الأربعاء 15/4/2026 من الساعة 14:30 حتى 15:30 عصراً. - مادة 1904345 الاعداد الوظيفي تنسقها د. الروضان، وعدد الطلاب 48 طالباً، وتُعقد في مختبر تكنولوجيا 303. - الاعداد الوظيفي 1904345 امتحانه يوم الأربعاء 15/4/2026 من الساعة 2:30 حتى 3:30 عصراً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 43, "language": "Arabic", "was_translated": false }, { "text": "نولوجيا 303. - الاعداد الوظيفي 1904345 امتحانه يوم الأربعاء 15/4/2026 من الساعة 2:30 حتى 3:30 عصراً. [ 20 ] موضوعات خاصة كود: 1904485 ----------------------------------------------------------- - امتحان مادة الموضوعات الخاصة كود 1904485 يُعقد يوم الأربعاء 15/4/2026 من الساعة 14:30 حتى 15:30. - د. يوسف سنجالوي ينسق مادة 1904485 موضوعات خاصة، وعدد الطلاب 35 طالباً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 44, "language": "Arabic", "was_translated": false }, { "text": "من الساعة 14:30 حتى 15:30. - د. يوسف سنجالوي ينسق مادة 1904485 موضوعات خاصة، وعدد الطلاب 35 طالباً. - مادة الموضوعات الخاصة 1904485 تُعقد في مختبرات عدة منها 303 و104 و105 والطوابق ط/2ق3 وط/2ق2. [ 21 ] البرمجة المتنقلة كود: 1904211 ----------------------------------------------------------- - امتحان مادة البرمجة المتنقلة كود 1904211 يُعقد يوم الخميس 16/4/2026 من الساعة 10:30 حتى 11:30 صباحاً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 45, "language": "Arabic", "was_translated": false }, { "text": "متحان مادة البرمجة المتنقلة كود 1904211 يُعقد يوم الخميس 16/4/2026 من الساعة 10:30 حتى 11:30 صباحاً. - د. يرفس مخادمه ينسق مادة 1904211 البرمجة المتنقلة، وعدد الطلاب 22 طالباً، وتُعقد في مختبرات 303 و001 و201 و301. - مادة البرمجة المتنقلة 1904211 امتحانها يوم الخميس 16 أبريل 2026 من 10:30 إلى 11:30.", "source": "جدول امتحانات الميد.docx", "chunk_id": 46, "language": "Arabic", "was_translated": false }, { "text": "001 و201 و301. - مادة البرمجة المتنقلة 1904211 امتحانها يوم الخميس 16 أبريل 2026 من 10:30 إلى 11:30. [ 22 ] تراكيب البيانات كود: 1901242 ----------------------------------------------------------- - امتحان مادة تراكيب البيانات كود 1901242 يُعقد يوم السبت 11/4/2026 من الساعة 9:00 حتى 10:00 صباحاً. - م. نبيل العساف ينسق مادة 1901242 تراكيب البيانات، وعدد الطلاب 212 طالباً، وتُعقد في قاعات ST.", "source": "جدول امتحانات الميد.docx", "chunk_id": 47, "language": "Arabic", "was_translated": false }, { "text": "حاً. - م. نبيل العساف ينسق مادة 1901242 تراكيب البيانات، وعدد الطلاب 212 طالباً، وتُعقد في قاعات ST.A حتى ST.H وقاعات الكليات المختلفة. - مادة تراكيب البيانات 1901242 تُعقد في قاعات من داخل الكليات المختلفة في الجامعة مثل العلمية والزراعة والآداب والأندلس والدراسات العليا.", "source": "جدول امتحانات الميد.docx", "chunk_id": 48, "language": "Arabic", "was_translated": false }, { "text": "في قاعات من داخل الكليات المختلفة في الجامعة مثل العلمية والزراعة والآداب والأندلس والدراسات العليا. [ 23 ] إدارة المخاطر الأمنية والأخلاق كود: 1911221 ----------------------------------------------------------- - امتحان مادة إدارة المخاطر الأمنية والأخلاق كود 1911221 يُعقد يوم الخميس 16/4/2026 من الساعة 11:00 حتى 12:00. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 49, "language": "Arabic", "was_translated": false }, { "text": "دارة المخاطر الأمنية والأخلاق كود 1911221 يُعقد يوم الخميس 16/4/2026 من الساعة 11:00 حتى 12:00. - د. محمد المعايعه ينسق مادة 1911221 إدارة المخاطر الأمنية والأخلاق، وعدد الطلاب 57 طالباً. - مادة 1911221 إدارة المخاطر الأمنية والأخلاق تُعقد في مختبرات تكنولوجيا 101 و103 يوم الخميس 16 أبريل 2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 50, "language": "Arabic", "was_translated": false }, { "text": "1911221 إدارة المخاطر الأمنية والأخلاق تُعقد في مختبرات تكنولوجيا 101 و103 يوم الخميس 16 أبريل 2026. [ 24 ] مقدمة في الذكاء الاصطناعي كود: 1901351 ----------------------------------------------------------- - امتحان مادة مقدمة في الذكاء الاصطناعي كود 1901351 يُعقد يوم الخميس 16/4/2026 من الساعة 10:30 حتى 11:30 صباحاً. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 51, "language": "Arabic", "was_translated": false }, { "text": "مة في الذكاء الاصطناعي كود 1901351 يُعقد يوم الخميس 16/4/2026 من الساعة 10:30 حتى 11:30 صباحاً. - د. الروضان تنسق مادة 1901351 مقدمة في الذكاء الاصطناعي، وعدد الطلاب 82 طالباً، وتُعقد في مختبرات 001 و103 و105 و203 و302. - مادة مقدمة في الذكاء الاصطناعي 1901351 امتحانها يوم الخميس 16 أبريل 2026 من 10:30 إلى 11:30.", "source": "جدول امتحانات الميد.docx", "chunk_id": 52, "language": "Arabic", "was_translated": false }, { "text": "و302. - مادة مقدمة في الذكاء الاصطناعي 1901351 امتحانها يوم الخميس 16 أبريل 2026 من 10:30 إلى 11:30. [ 25 ] أخلاقيات الحاسوب كود: 1902478 ----------------------------------------------------------- - امتحان مادة أخلاقيات الحاسوب كود 1902478 يُعقد يوم الأربعاء 15/4/2026 من الساعة 10:00 حتى 11:00 صباحاً. - أ.", "source": "جدول امتحانات الميد.docx", "chunk_id": 53, "language": "Arabic", "was_translated": false }, { "text": "ادة أخلاقيات الحاسوب كود 1902478 يُعقد يوم الأربعاء 15/4/2026 من الساعة 10:00 حتى 11:00 صباحاً. - أ.د حامد البدور ينسق مادة 1902478 أخلاقيات الحاسوب، وعدد الطلاب 48 طالباً، وتُعقد في مختبرات 002 و206 و207. - مادة أخلاقيات الحاسوب 1902478 امتحانها يوم الأربعاء 15 أبريل 2026 في وقت الصباح من 10 إلى 11.", "source": "جدول امتحانات الميد.docx", "chunk_id": 54, "language": "Arabic", "was_translated": false }, { "text": "207. - مادة أخلاقيات الحاسوب 1902478 امتحانها يوم الأربعاء 15 أبريل 2026 في وقت الصباح من 10 إلى 11. [ 26 ] نظرية الحسابات كود: 1901241 ----------------------------------------------------------- - امتحان مادة نظرية الحسابات كود 1901241 يُعقد يوم الخميس 16/4/2026 من الساعة 12:00 حتى 13:00. - أ.د عبداللطيف أبودلهوم ينسق مادة 1901241 نظرية الحسابات، وعدد الطلاب 81 طالباً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 55, "language": "Arabic", "was_translated": false }, { "text": "ة 12:00 حتى 13:00. - أ.د عبداللطيف أبودلهوم ينسق مادة 1901241 نظرية الحسابات، وعدد الطلاب 81 طالباً. - مادة نظرية الحسابات 1901241 تُعقد في مختبرات تكنولوجيا 102 و201 و202 و205 و301 و302 يوم الخميس 16/4/2026. [ 27 ] المنطق الرقمي كود: 1901204 ----------------------------------------------------------- - امتحان مادة المنطق الرقمي كود 1901204 يُعقد يوم الاثنين 27/4/2026 من الساعة 11:30 حتى 12:30.", "source": "جدول امتحانات الميد.docx", "chunk_id": 56, "language": "Arabic", "was_translated": false }, { "text": "----- - امتحان مادة المنطق الرقمي كود 1901204 يُعقد يوم الاثنين 27/4/2026 من الساعة 11:30 حتى 12:30. - أ. عماد صالح ينسق مادة 1901204 المنطق الرقمي، وعدد الطلاب 52 طالباً، وتُعقد في مختبر تكنولوجيا 105 وطابق ط/1ق2. - مادة المنطق الرقمي 1901204 امتحانها يوم الاثنين 27 أبريل 2026 من 11:30 إلى 12:30.", "source": "جدول امتحانات الميد.docx", "chunk_id": 57, "language": "Arabic", "was_translated": false }, { "text": "105 وطابق ط/1ق2. - مادة المنطق الرقمي 1901204 امتحانها يوم الاثنين 27 أبريل 2026 من 11:30 إلى 12:30. [ 28 ] مبادئ الأمن كود: 1911101 ----------------------------------------------------------- - امتحان مادة مبادئ الأمن كود 1911101 يُعقد يوم الاثنين 27/4/2026 من الساعة 11:30 حتى 12:30. - د. محمد عتوم ينسق مادة 1911101 مبادئ الأمن، وعدد الطلاب 24 طالباً، وتُعقد في مختبر تكنولوجيا 105.", "source": "جدول امتحانات الميد.docx", "chunk_id": 58, "language": "Arabic", "was_translated": false }, { "text": "- د. محمد عتوم ينسق مادة 1911101 مبادئ الأمن، وعدد الطلاب 24 طالباً، وتُعقد في مختبر تكنولوجيا 105. - مادة مبادئ الأمن 1911101 في نفس وقت المنطق الرقمي 1901204 أي يوم الاثنين 27/4/2026 من 11:30 إلى 12:30. [ 29 ] التعلم العميق كود: 1915471 ----------------------------------------------------------- - امتحان مادة التعلم العميق كود 1915471 يُعقد يوم الاثنين 27/4/2026 من الساعة 11:30 حتى 12:30. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 59, "language": "Arabic", "was_translated": false }, { "text": "- امتحان مادة التعلم العميق كود 1915471 يُعقد يوم الاثنين 27/4/2026 من الساعة 11:30 حتى 12:30. - د. ماهر الشحاتمه ينسق مادة 1915471 التعلم العميق، وعدد الطلاب 43 طالباً، وتُعقد في مختبر ط/3ق3 ومختبر 304. - مادة التعلم العميق 1915471 امتحانها يوم الاثنين 27 أبريل 2026 من 11:30 إلى 12:30.", "source": "جدول امتحانات الميد.docx", "chunk_id": 60, "language": "Arabic", "was_translated": false }, { "text": "/3ق3 ومختبر 304. - مادة التعلم العميق 1915471 امتحانها يوم الاثنين 27 أبريل 2026 من 11:30 إلى 12:30. [ 30 ] أخلاق واختبار الاختراق كود: 1911381 ----------------------------------------------------------- - امتحان مادة أخلاق واختبار الاختراق كود 1911381 يُعقد يوم الاثنين 27/4/2026 من الساعة 13:00 حتى 14:00. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 61, "language": "Arabic", "was_translated": false }, { "text": "مادة أخلاق واختبار الاختراق كود 1911381 يُعقد يوم الاثنين 27/4/2026 من الساعة 13:00 حتى 14:00. - د. أحمد الحويطات ينسق مادة 1911381 أخلاق واختبار الاختراق، وعدد الطلاب 44 طالباً، وتُعقد في مختبر تكنولوجيا 001. - مادة أخلاق واختبار الاختراق 1911381 امتحانها يوم الاثنين 27/4/2026 من 1:00 إلى 2:00 ظهراً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 62, "language": "Arabic", "was_translated": false }, { "text": "يا 001. - مادة أخلاق واختبار الاختراق 1911381 امتحانها يوم الاثنين 27/4/2026 من 1:00 إلى 2:00 ظهراً. [ 31 ] أخلاق واختبار الاختراق - متقدم كود: 1911393 ----------------------------------------------------------- - امتحان مادة أخلاق واختبار الاختراق المتقدم كود 1911393 يُعقد يوم الاثنين 27/4/2026 من الساعة 13:00 حتى 14:00. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 63, "language": "Arabic", "was_translated": false }, { "text": "لاق واختبار الاختراق المتقدم كود 1911393 يُعقد يوم الاثنين 27/4/2026 من الساعة 13:00 حتى 14:00. - د. أحمد الحويطات يشرف أيضاً على مادة 1911393 في نفس الوقت الذي يشرف فيه على مادة 1911381 لكن في مختبر 002 بدلاً من 001. - مادة 1911393 عدد طلابها 24 طالباً وتُعقد في مختبر تكنولوجيا 002 يوم الاثنين 27 أبريل 2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 64, "language": "Arabic", "was_translated": false }, { "text": "من 001. - مادة 1911393 عدد طلابها 24 طالباً وتُعقد في مختبر تكنولوجيا 002 يوم الاثنين 27 أبريل 2026. [ 32 ] البيانات الضخمة كود: 1915431 ----------------------------------------------------------- - امتحان مادة البيانات الضخمة كود 1915431 يُعقد يوم الخميس 23/4/2026 من الساعة 13:30 حتى 14:30. - د. محمد الراشد ينسق مادة 1915431 البيانات الضخمة، وعدد الطلاب 45 طالباً، وتُعقد في مختبرات 104 و105.", "source": "جدول امتحانات الميد.docx", "chunk_id": 65, "language": "Arabic", "was_translated": false }, { "text": "د. محمد الراشد ينسق مادة 1915431 البيانات الضخمة، وعدد الطلاب 45 طالباً، وتُعقد في مختبرات 104 و105. - مادة البيانات الضخمة 1915431 امتحانها يوم الخميس 23 أبريل 2026 من 1:30 إلى 2:30 ظهراً. [ 33 ] إنترنت الأشياء كود: 1905430 ----------------------------------------------------------- - امتحان مادة إنترنت الأشياء كود 1905430 يُعقد يوم السبت 18/4/2026 من الساعة 10:00 حتى 11:00 صباحاً. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 66, "language": "Arabic", "was_translated": false }, { "text": "حان مادة إنترنت الأشياء كود 1905430 يُعقد يوم السبت 18/4/2026 من الساعة 10:00 حتى 11:00 صباحاً. - د. موسى الأخرس ينسق مادة 1905430 إنترنت الأشياء، وعدد الطلاب 74 طالباً، وتُعقد في مختبرات 001 و103 و105 و203 و302. - مادة إنترنت الأشياء 1905430 امتحانها يوم السبت 18 أبريل 2026 من 10 إلى 11 صباحاً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 67, "language": "Arabic", "was_translated": false }, { "text": "و105 و203 و302. - مادة إنترنت الأشياء 1905430 امتحانها يوم السبت 18 أبريل 2026 من 10 إلى 11 صباحاً. [ 34 ] معالجة الصور الرقمية كود: 1902454 ----------------------------------------------------------- - امتحان مادة معالجة الصور الرقمية كود 1902454 يُعقد يوم السبت 18/4/2026 من الساعة 13:00 حتى 14:00. - د. عريب أبو الغنم تنسق مادة 1902454 معالجة الصور الرقمية، وعدد الطلاب 59 طالباً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 68, "language": "Arabic", "was_translated": false }, { "text": "13:00 حتى 14:00. - د. عريب أبو الغنم تنسق مادة 1902454 معالجة الصور الرقمية، وعدد الطلاب 59 طالباً. - مادة معالجة الصور الرقمية 1902454 تُعقد في مختبرات تكنولوجيا 001 و002 و101 و301 و303 يوم السبت 18 أبريل 2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 69, "language": "Arabic", "was_translated": false }, { "text": "جة الصور الرقمية 1902454 تُعقد في مختبرات تكنولوجيا 001 و002 و101 و301 و303 يوم السبت 18 أبريل 2026. [ 35 ] أنطولوجيا ومخططات المعرفة كود: 1905321 ----------------------------------------------------------- - امتحان مادة أنطولوجيا ومخططات المعرفة كود 1905321 يُعقد يوم الأحد 19/4/2026 من الساعة 12:30 حتى 13:30. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 70, "language": "Arabic", "was_translated": false }, { "text": "مادة أنطولوجيا ومخططات المعرفة كود 1905321 يُعقد يوم الأحد 19/4/2026 من الساعة 12:30 حتى 13:30. - د. مروان الطويل ينسق مادة 1905321 أنطولوجيا ومخططات المعرفة، وعدد الطلاب 29 طالباً، وتُعقد في مختبرات 103 و101. - مادة أنطولوجيا ومخططات المعرفة 1905321 امتحانها يوم الأحد 19 أبريل 2026 من 12:30 إلى 1:30 ظهراً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 71, "language": "Arabic", "was_translated": false }, { "text": ". - مادة أنطولوجيا ومخططات المعرفة 1905321 امتحانها يوم الأحد 19 أبريل 2026 من 12:30 إلى 1:30 ظهراً. [ 36 ] تحليل وتمثيل المستندات كود: 1904484 ----------------------------------------------------------- - امتحان مادة تحليل وتمثيل المستندات كود 1904484 يُعقد يوم الأحد 19/4/2026 من الساعة 14:30 حتى 15:30. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 72, "language": "Arabic", "was_translated": false }, { "text": "ان مادة تحليل وتمثيل المستندات كود 1904484 يُعقد يوم الأحد 19/4/2026 من الساعة 14:30 حتى 15:30. - د. بشار الشبول ينسق مادة 1904484 تحليل وتمثيل المستندات، وعدد الطلاب 41 طالباً، وتُعقد في مختبر تكنولوجيا ط/3ق3. - مادة تحليل وتمثيل المستندات 1904484 امتحانها يوم الأحد 19/4/2026 عصراً من 2:30 إلى 3:30.", "source": "جدول امتحانات الميد.docx", "chunk_id": 73, "language": "Arabic", "was_translated": false }, { "text": "يا ط/3ق3. - مادة تحليل وتمثيل المستندات 1904484 امتحانها يوم الأحد 19/4/2026 عصراً من 2:30 إلى 3:30. [ 37 ] التشفير كود: 1911241 ----------------------------------------------------------- - امتحان مادة التشفير كود 1911241 يُعقد يوم الأحد 19/4/2026 من الساعة 14:30 حتى 15:30. - د. عريب أبو الغنم تنسق مادة 1911241 التشفير، وعدد الطلاب 56 طالباً، وتُعقد في مختبر تكنولوجيا ط/1ق3.", "source": "جدول امتحانات الميد.docx", "chunk_id": 74, "language": "Arabic", "was_translated": false }, { "text": "د. عريب أبو الغنم تنسق مادة 1911241 التشفير، وعدد الطلاب 56 طالباً، وتُعقد في مختبر تكنولوجيا ط/1ق3. - مادة التشفير 1911241 امتحانها يوم الأحد 19 أبريل 2026 في نفس وقت مادة تحليل المستندات 1904484 من 14:30 إلى 15:30.", "source": "جدول امتحانات الميد.docx", "chunk_id": 75, "language": "Arabic", "was_translated": false }, { "text": "1911241 امتحانها يوم الأحد 19 أبريل 2026 في نفس وقت مادة تحليل المستندات 1904484 من 14:30 إلى 15:30. [ 38 ] الذكاء الاصطناعي كود: 1905320 ----------------------------------------------------------- - امتحان مادة الذكاء الاصطناعي كود 1905320 يُعقد يوم الأحد 19/4/2026 وعدد طلابه 246 طالباً. - مادة 1905320 الذكاء الاصطناعي ينسقها د. نسليما وهي من المواد ذات الأعداد الكبيرة من الطلاب.", "source": "جدول امتحانات الميد.docx", "chunk_id": 76, "language": "Arabic", "was_translated": false }, { "text": "الباً. - مادة 1905320 الذكاء الاصطناعي ينسقها د. نسليما وهي من المواد ذات الأعداد الكبيرة من الطلاب. - مادة الذكاء الاصطناعي 1905320 تُعقد في مختبرات عديدة منها 001 و002 و103 و105 و203 و206 و302. [ 39 ] الروبوتات الذكية كود: 1905431 ----------------------------------------------------------- - امتحان مادة الروبوتات الذكية كود 1905431 يُعقد يوم الاثنين 20/4/2026 من الساعة 10:00 حتى 11:00 صباحاً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 77, "language": "Arabic", "was_translated": false }, { "text": "تحان مادة الروبوتات الذكية كود 1905431 يُعقد يوم الاثنين 20/4/2026 من الساعة 10:00 حتى 11:00 صباحاً. - د. موسى اليمن ينسق مادة 1905431 الروبوتات الذكية، وعدد الطلاب 36 طالباً، وتُعقد في مختبر تكنولوجيا ط/1ق5. - مادة الروبوتات الذكية 1905431 امتحانها يوم الاثنين 20 أبريل 2026 من 10 إلى 11 صباحاً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 78, "language": "Arabic", "was_translated": false }, { "text": "لوجيا ط/1ق5. - مادة الروبوتات الذكية 1905431 امتحانها يوم الاثنين 20 أبريل 2026 من 10 إلى 11 صباحاً. [ 40 ] النظم المتوازية والموزعة كود: 1901468 ----------------------------------------------------------- - امتحان مادة النظم المتوازية والموزعة كود 1901468 يُعقد يوم الاثنين 20/4/2026 من الساعة 10:00 حتى 11:00. - أ.", "source": "جدول امتحانات الميد.docx", "chunk_id": 79, "language": "Arabic", "was_translated": false }, { "text": "ادة النظم المتوازية والموزعة كود 1901468 يُعقد يوم الاثنين 20/4/2026 من الساعة 10:00 حتى 11:00. - أ. رسحان ينسق مادة 1901468 النظم المتوازية والموزعة، وعدد الطلاب 42 طالباً، وتُعقد في مختبر تكنولوجيا ط/1ق3. - مادة النظم المتوازية والموزعة 1901468 امتحانها يوم الاثنين 20 أبريل 2026 في نفس وقت مادة الروبوتات الذكية.", "source": "جدول امتحانات الميد.docx", "chunk_id": 80, "language": "Arabic", "was_translated": false }, { "text": "لنظم المتوازية والموزعة 1901468 امتحانها يوم الاثنين 20 أبريل 2026 في نفس وقت مادة الروبوتات الذكية. [ 41 ] هندسة البيانات وتحليلها كود: 1915231 ----------------------------------------------------------- - امتحان مادة هندسة البيانات وتحليلها كود 1915231 يُعقد يوم الاثنين 20/4/2026 من الساعة 13:00 حتى 14:00. - د. حذيفه أبوحمايده ينسق مادة 1915231 هندسة البيانات وتحليلها، وعدد الطلاب 41 طالباً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 81, "language": "Arabic", "was_translated": false }, { "text": "00 حتى 14:00. - د. حذيفه أبوحمايده ينسق مادة 1915231 هندسة البيانات وتحليلها، وعدد الطلاب 41 طالباً. - مادة هندسة البيانات وتحليلها 1915231 امتحانها يوم الاثنين 20 أبريل 2026 في فترة الظهر من 1 إلى 2. [ 42 ] الرؤية الحاسوبية كود: 1905322 ----------------------------------------------------------- - امتحان مادة الرؤية الحاسوبية كود 1905322 يُعقد يوم الأحد 19/4/2026 من الساعة 10:30 حتى 11:30 صباحاً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 82, "language": "Arabic", "was_translated": false }, { "text": "امتحان مادة الرؤية الحاسوبية كود 1905322 يُعقد يوم الأحد 19/4/2026 من الساعة 10:30 حتى 11:30 صباحاً. - د. هدى كراجة تنسق مادة 1905322 الرؤية الحاسوبية، وعدد الطلاب 86 طالباً، وتُعقد في مختبرات 001 و002 و101 و103 و105. - مادة الرؤية الحاسوبية 1905322 امتحانها يوم الأحد 19/4/2026 من 10:30 إلى 11:30.", "source": "جدول امتحانات الميد.docx", "chunk_id": 83, "language": "Arabic", "was_translated": false }, { "text": "002 و101 و103 و105. - مادة الرؤية الحاسوبية 1905322 امتحانها يوم الأحد 19/4/2026 من 10:30 إلى 11:30. [ 43 ] الرسم بالحاسوب (امتحان رئيسي) كود: 1901359 ----------------------------------------------------------- - الامتحان الرئيسي لمادة الرسم بالحاسوب 1901359 يُعقد يوم الأحد 19/4/2026 من 11:30 إلى 12:30 صباحاً بإشراف أ.د حازم الحياري.", "source": "جدول امتحانات الميد.docx", "chunk_id": 84, "language": "Arabic", "was_translated": false }, { "text": "الرسم بالحاسوب 1901359 يُعقد يوم الأحد 19/4/2026 من 11:30 إلى 12:30 صباحاً بإشراف أ.د حازم الحياري. - مادة 1901359 الرسم بالحاسوب لها امتحان رئيسي يوم الأحد 19 أبريل في مختبرات 202 و301 و303. - أ.د حازم الحياري يشرف على امتحان الرسم بالحاسوب 1901359 يوم الأحد 19/4/2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 85, "language": "Arabic", "was_translated": false }, { "text": "ختبرات 202 و301 و303. - أ.د حازم الحياري يشرف على امتحان الرسم بالحاسوب 1901359 يوم الأحد 19/4/2026. [ 44 ] سياسات تكنولوجيا المعلومات كود: 1904101 ----------------------------------------------------------- - امتحان مادة سياسات تكنولوجيا المعلومات كود 1904101 يُعقد يوم الثلاثاء 21/4/2026 من الساعة 14:00 حتى 15:00. - مالك الحسن ينسق مادة 1904101 سياسات تكنولوجيا المعلومات، وعدد الطلاب 144 طالباً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 86, "language": "Arabic", "was_translated": false }, { "text": "14:00 حتى 15:00. - مالك الحسن ينسق مادة 1904101 سياسات تكنولوجيا المعلومات، وعدد الطلاب 144 طالباً. - مادة سياسات تكنولوجيا المعلومات 1904101 تُعقد في مختبرات 001 و002 و101 و301 و303 يوم الثلاثاء 21 أبريل 2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 87, "language": "Arabic", "was_translated": false }, { "text": "سات تكنولوجيا المعلومات 1904101 تُعقد في مختبرات 001 و002 و101 و301 و303 يوم الثلاثاء 21 أبريل 2026. [ 45 ] برمجة متقدمة بلغة الجافا (جلسة ثانية) كود: 1902214 ----------------------------------------------------------- - امتحان مادة البرمجة المتقدمة بلغة الجافا كود 1902214 له امتحان آخر يوم الأحد 19/4/2026 من 13:30 إلى 14:30. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 88, "language": "Arabic", "was_translated": false }, { "text": "البرمجة المتقدمة بلغة الجافا كود 1902214 له امتحان آخر يوم الأحد 19/4/2026 من 13:30 إلى 14:30. - د. إرساء الزغول تنسق مادة 1902214 وتُعقد في مختبرات 104 و105 و203 و302 يوم الأحد 19/4/2026. - الجلسة الثانية لامتحان برمجة الجافا 1902214 يوم الأحد 19 أبريل 2026 من 1:30 إلى 2:30 ظهراً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 89, "language": "Arabic", "was_translated": false }, { "text": "/2026. - الجلسة الثانية لامتحان برمجة الجافا 1902214 يوم الأحد 19 أبريل 2026 من 1:30 إلى 2:30 ظهراً. [ 46 ] تنظيم الحاسوب كود: 1911461 ----------------------------------------------------------- - امتحان مادة تنظيم الحاسوب كود 1911461 يُعقد يوم الثلاثاء 22/4/2026 من الساعة 11:30 حتى 12:30. - د. مالك العيسى ينسق مادة 1911461 تنظيم الحاسوب، وعدد الطلاب 64 طالباً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 90, "language": "Arabic", "was_translated": false }, { "text": "من الساعة 11:30 حتى 12:30. - د. مالك العيسى ينسق مادة 1911461 تنظيم الحاسوب، وعدد الطلاب 64 طالباً. - مادة تنظيم الحاسوب 1911461 تُعقد في مختبرات تكنولوجيا 101 و103 و202 و203 و204 يوم الثلاثاء 22/4/2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 91, "language": "Arabic", "was_translated": false }, { "text": "ادة تنظيم الحاسوب 1911461 تُعقد في مختبرات تكنولوجيا 101 و103 و202 و203 و204 يوم الثلاثاء 22/4/2026. [ 47 ] تطبيقات ذكاء اصطناعي / موضوع خاص في المهارات الرقمية كود: 0309104 ----------------------------------------------------------- - امتحان مادة تطبيقات الذكاء الاصطناعي كود 0309104 يُعقد يوم الثلاثاء 22/4/2026 من الساعة 10:00 حتى 11:00 صباحاً. - م.", "source": "جدول امتحانات الميد.docx", "chunk_id": 92, "language": "Arabic", "was_translated": false }, { "text": "قات الذكاء الاصطناعي كود 0309104 يُعقد يوم الثلاثاء 22/4/2026 من الساعة 10:00 حتى 11:00 صباحاً. - م. ولاء تقطيش تنسق مادة 0309104 تطبيقات الذكاء الاصطناعي، وعدد الطلاب 232 طالباً وهو عدد كبير. - مادة 0309104 تطبيقات الذكاء الاصطناعي تُعقد في مختبرات عديدة تشمل 101 و102 و103 و201 و202 و302 و303 يوم الثلاثاء 22/4/2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 93, "language": "Arabic", "was_translated": false }, { "text": "ذكاء الاصطناعي تُعقد في مختبرات عديدة تشمل 101 و102 و103 و201 و202 و302 و303 يوم الثلاثاء 22/4/2026. [ 48 ] أنظمة إدارة قواعد البيانات كود: 1902224 ----------------------------------------------------------- - امتحان مادة أنظمة إدارة قواعد البيانات كود 1902224 يُعقد يوم الثلاثاء 22/4/2026 من الساعة 11:30 حتى 12:30. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 94, "language": "Arabic", "was_translated": false }, { "text": "أنظمة إدارة قواعد البيانات كود 1902224 يُعقد يوم الثلاثاء 22/4/2026 من الساعة 11:30 حتى 12:30. - د. ماهر الشحاتمه ينسق مادة 1902224 أنظمة إدارة قواعد البيانات، وعدد الطلاب 246 طالباً وهو عدد كبير. - مادة 1902224 DBMS أنظمة إدارة قواعد البيانات تُعقد في طوابق متعددة من مبنى تكنولوجيا يوم الثلاثاء 22 أبريل 2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 95, "language": "Arabic", "was_translated": false }, { "text": "DBMS أنظمة إدارة قواعد البيانات تُعقد في طوابق متعددة من مبنى تكنولوجيا يوم الثلاثاء 22 أبريل 2026. [ 49 ] برمجة الكائنات الموجهة كود: 1902110 ----------------------------------------------------------- - امتحان مادة برمجة الكائنات الموجهة كود 1902110 يُعقد يوم الخميس 23/4/2026 من الساعة 9:00 صباحاً حتى 1:00 ظهراً، مدته 4 ساعات. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 96, "language": "Arabic", "was_translated": false }, { "text": "وجهة كود 1902110 يُعقد يوم الخميس 23/4/2026 من الساعة 9:00 صباحاً حتى 1:00 ظهراً، مدته 4 ساعات. - د. إرساء الزغول تنسق مادة 1902110 برمجة الكائنات الموجهة، وعدد الطلاب 549 طالباً وهو ثاني أكبر عدد في الجدول. - مادة البرمجة الكائنية 1902110 OOP تُعقد في أكثر من 15 مختبراً في مبنى تكنولوجيا بالإضافة إلى مركز المختبرات يوم الخميس 23/4/2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 97, "language": "Arabic", "was_translated": false }, { "text": "OOP تُعقد في أكثر من 15 مختبراً في مبنى تكنولوجيا بالإضافة إلى مركز المختبرات يوم الخميس 23/4/2026. - مادة 1902110 برمجة الكائنات الموجهة هي من المواد الكبيرة جداً بـ 549 طالباً، وامتحانها مدته 4 ساعات كاملة من 9 صباحاً إلى 1 ظهراً. - يوم الخميس 23 أبريل 2026 هو يوم امتحان كبير لمادة OOP برمجة الكائنات 1902110.", "source": "جدول امتحانات الميد.docx", "chunk_id": 98, "language": "Arabic", "was_translated": false }, { "text": "صباحاً إلى 1 ظهراً. - يوم الخميس 23 أبريل 2026 هو يوم امتحان كبير لمادة OOP برمجة الكائنات 1902110. [ 50 ] قواعد البيانات كود: 1902323 ----------------------------------------------------------- - امتحان مادة قواعد البيانات كود 1902323 يُعقد يوم الخميس 23/4/2026 من الساعة 13:30 حتى 14:30. - أ.د سادم بو محموم ينسق مادة 1902323 قواعد البيانات، وعدد الطلاب 41 طالباً، وتُعقد في مختبر تكنولوجيا 206.", "source": "جدول امتحانات الميد.docx", "chunk_id": 99, "language": "Arabic", "was_translated": false }, { "text": "ادم بو محموم ينسق مادة 1902323 قواعد البيانات، وعدد الطلاب 41 طالباً، وتُعقد في مختبر تكنولوجيا 206. - مادة قواعد البيانات 1902323 امتحانها يوم الخميس 23 أبريل 2026 في فترة بعد الظهر من 1:30 إلى 2:30. [ 51 ] الوسائط المتعددة كود: 1902351 ----------------------------------------------------------- - امتحان مادة الوسائط المتعددة كود 1902351 يُعقد يوم الخميس 23/4/2026 من الساعة 13:30 حتى 14:30. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 100, "language": "Arabic", "was_translated": false }, { "text": "امتحان مادة الوسائط المتعددة كود 1902351 يُعقد يوم الخميس 23/4/2026 من الساعة 13:30 حتى 14:30. - د. الخطيب ينسق مادة 1902351 الوسائط المتعددة، وعدد الطلاب 46 طالباً، وتُعقد في مختبر تكنولوجيا 104. - مادة الوسائط المتعددة 1902351 امتحانها يوم الخميس 23 أبريل 2026 من 13:30 إلى 14:30.", "source": "جدول امتحانات الميد.docx", "chunk_id": 101, "language": "Arabic", "was_translated": false }, { "text": "تكنولوجيا 104. - مادة الوسائط المتعددة 1902351 امتحانها يوم الخميس 23 أبريل 2026 من 13:30 إلى 14:30. [ 52 ] أنظمة إدارة المعرفة كود: 1904323 ----------------------------------------------------------- - امتحان مادة أنظمة إدارة المعرفة كود 1904323 يُعقد يوم الخميس 23/4/2026 من الساعة 13:30 حتى 14:30.", "source": "جدول امتحانات الميد.docx", "chunk_id": 102, "language": "Arabic", "was_translated": false }, { "text": "- امتحان مادة أنظمة إدارة المعرفة كود 1904323 يُعقد يوم الخميس 23/4/2026 من الساعة 13:30 حتى 14:30. - مالك الحسن ينسق مادة 1904323 أنظمة إدارة المعرفة، وعدد الطلاب 27 طالباً، وتُعقد في مختبر تكنولوجيا 102. - مادة أنظمة إدارة المعرفة 1904323 تُعقد يوم الخميس 23/4/2026 في نفس الوقت الذي تعقد فيه عدة مواد أخرى من 13:30 إلى 14:30.", "source": "جدول امتحانات الميد.docx", "chunk_id": 103, "language": "Arabic", "was_translated": false }, { "text": "عرفة 1904323 تُعقد يوم الخميس 23/4/2026 في نفس الوقت الذي تعقد فيه عدة مواد أخرى من 13:30 إلى 14:30. [ 53 ] أنظمة تخطيط موارد المؤسسات كود: 1904351 ----------------------------------------------------------- - امتحان مادة أنظمة تخطيط موارد المؤسسات ERP كود 1904351 يُعقد يوم الخميس 23/4/2026 من الساعة 13:30 حتى 14:30. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 104, "language": "Arabic", "was_translated": false }, { "text": "نظمة تخطيط موارد المؤسسات ERP كود 1904351 يُعقد يوم الخميس 23/4/2026 من الساعة 13:30 حتى 14:30. - د. هدانه القضاه تنسق مادة 1904351 ERP، وعدد الطلاب 34 طالباً، وتُعقد في مختبر تكنولوجيا ط/3ق3. - مادة ERP أنظمة تخطيط موارد المؤسسات 1904351 امتحانها يوم الخميس 23 أبريل 2026 عصراً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 105, "language": "Arabic", "was_translated": false }, { "text": "ولوجيا ط/3ق3. - مادة ERP أنظمة تخطيط موارد المؤسسات 1904351 امتحانها يوم الخميس 23 أبريل 2026 عصراً. [ 54 ] الأعمال الإلكترونية كود: 1904442 ----------------------------------------------------------- - امتحان مادة الأعمال الإلكترونية كود 1904442 يُعقد يوم الخميس 23/4/2026 من الساعة 13:30 حتى 14:30. - د. يوسف سنجالوي ينسق مادة 1904442 الأعمال الإلكترونية، وعدد الطلاب 40 طالباً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 106, "language": "Arabic", "was_translated": false }, { "text": "اعة 13:30 حتى 14:30. - د. يوسف سنجالوي ينسق مادة 1904442 الأعمال الإلكترونية، وعدد الطلاب 40 طالباً. - مادة الأعمال الإلكترونية 1904442 تُعقد في مختبر ط/2ق2 يوم الخميس 23/4/2026. [ 55 ] تمثيل واستدلال المعرفة كود: 1905221 ----------------------------------------------------------- - امتحان مادة تمثيل واستدلال المعرفة كود 1905221 يُعقد يوم الخميس 23/4/2026 من الساعة 13:30 حتى 14:30. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 107, "language": "Arabic", "was_translated": false }, { "text": "ن مادة تمثيل واستدلال المعرفة كود 1905221 يُعقد يوم الخميس 23/4/2026 من الساعة 13:30 حتى 14:30. - د. حذيفه أبوحماد ينسق مادة 1905221 تمثيل واستدلال المعرفة، وعدد الطلاب 35 طالباً. - مادة تمثيل واستدلال المعرفة 1905221 تُعقد في ط/3ق2 ومختبر 201 يوم الخميس 23/4/2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 108, "language": "Arabic", "was_translated": false }, { "text": "لاب 35 طالباً. - مادة تمثيل واستدلال المعرفة 1905221 تُعقد في ط/3ق2 ومختبر 201 يوم الخميس 23/4/2026. [ 56 ] تحليل البرمجيات الخبيثة والهندسة العكسية كود: 1911481 ----------------------------------------------------------- - امتحان مادة تحليل البرمجيات الخبيثة والهندسة العكسية كود 1911481 يُعقد يوم الخميس 23/4/2026 من الساعة 13:30 حتى 14:30. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 109, "language": "Arabic", "was_translated": false }, { "text": "جيات الخبيثة والهندسة العكسية كود 1911481 يُعقد يوم الخميس 23/4/2026 من الساعة 13:30 حتى 14:30. - د. مازن الوادي ينسق مادة 1911481 تحليل البرمجيات الخبيثة، وعدد الطلاب 37 طالباً. - مادة تحليل البرمجيات الخبيثة والهندسة العكسية 1911481 تُعقد في مختبرات 002 و105 و206 يوم الخميس 23 أبريل 2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 110, "language": "Arabic", "was_translated": false }, { "text": "البرمجيات الخبيثة والهندسة العكسية 1911481 تُعقد في مختبرات 002 و105 و206 يوم الخميس 23 أبريل 2026. [ 57 ] الإحصاء التطبيقي كود: 1915251 ----------------------------------------------------------- - امتحان مادة الإحصاء التطبيقي كود 1915251 يُعقد يوم الأحد 26/4/2026 من الساعة 8:30 صباحاً حتى 9:30 صباحاً. - د. لؤي النمر ينسق مادة 1915251 الإحصاء التطبيقي، وعدد الطلاب 32 طالباً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 111, "language": "Arabic", "was_translated": false }, { "text": "30 صباحاً حتى 9:30 صباحاً. - د. لؤي النمر ينسق مادة 1915251 الإحصاء التطبيقي، وعدد الطلاب 32 طالباً. - مادة الإحصاء التطبيقي 1915251 تُعقد في مختبرات 104 و105 و203 يوم الأحد 26 أبريل 2026 في الصباح الباكر.", "source": "جدول امتحانات الميد.docx", "chunk_id": 112, "language": "Arabic", "was_translated": false }, { "text": "دة الإحصاء التطبيقي 1915251 تُعقد في مختبرات 104 و105 و203 يوم الأحد 26 أبريل 2026 في الصباح الباكر. [ 58 ] أنظمة الأعمال الذكية كود: 1904371 ----------------------------------------------------------- - امتحان مادة أنظمة الأعمال الذكية كود 1904371 يُعقد يوم الأحد 26/4/2026 من الساعة 14:30 حتى 15:30. - د. هدانه القضاه تنسق مادة 1904371 أنظمة الأعمال الذكية، وعدد الطلاب 28 طالباً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 113, "language": "Arabic", "was_translated": false }, { "text": "عة 14:30 حتى 15:30. - د. هدانه القضاه تنسق مادة 1904371 أنظمة الأعمال الذكية، وعدد الطلاب 28 طالباً. - مادة أنظمة الأعمال الذكية 1904371 امتحانها يوم الأحد 26 أبريل 2026 عصراً من 2:30 إلى 3:30.", "source": "جدول امتحانات الميد.docx", "chunk_id": 114, "language": "Arabic", "was_translated": false }, { "text": "طالباً. - مادة أنظمة الأعمال الذكية 1904371 امتحانها يوم الأحد 26 أبريل 2026 عصراً من 2:30 إلى 3:30. [ 59 ] أنظمة المعلومات الإدارية كود: 1904232 ----------------------------------------------------------- - امتحان مادة أنظمة المعلومات الإدارية كود 1904232 يُعقد يوم الأحد 26/4/2026 من الساعة 14:30 حتى 15:30. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 115, "language": "Arabic", "was_translated": false }, { "text": "مادة أنظمة المعلومات الإدارية كود 1904232 يُعقد يوم الأحد 26/4/2026 من الساعة 14:30 حتى 15:30. - د. يزن الشمايله ينسق مادة 1904232 أنظمة المعلومات الإدارية، وعدد الطلاب 24 طالباً، وتُعقد في مختبر تكنولوجيا 301. - مادة MIS أنظمة المعلومات الإدارية 1904232 امتحانها يوم الأحد 26 أبريل 2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 116, "language": "Arabic", "was_translated": false }, { "text": "ي مختبر تكنولوجيا 301. - مادة MIS أنظمة المعلومات الإدارية 1904232 امتحانها يوم الأحد 26 أبريل 2026. [ 60 ] أنظمة المعلومات الجغرافية كود: 1902459 ----------------------------------------------------------- - امتحان مادة أنظمة المعلومات الجغرافية GIS كود 1902459 يُعقد يوم الأحد 26/4/2026 من الساعة 15:30 حتى 16:30. - أ.", "source": "جدول امتحانات الميد.docx", "chunk_id": 117, "language": "Arabic", "was_translated": false }, { "text": "أنظمة المعلومات الجغرافية GIS كود 1902459 يُعقد يوم الأحد 26/4/2026 من الساعة 15:30 حتى 16:30. - أ. المحمد الزعرنبل ينسق مادة 1902459 أنظمة المعلومات الجغرافية، وعدد الطلاب 41 طالباً. - مادة GIS أنظمة المعلومات الجغرافية 1902459 تُعقد في مختبرات 101 و103 و003 يوم الأحد 26 أبريل 2026 عصراً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 118, "language": "Arabic", "was_translated": false }, { "text": "GIS أنظمة المعلومات الجغرافية 1902459 تُعقد في مختبرات 101 و103 و003 يوم الأحد 26 أبريل 2026 عصراً. [ 61 ] نظم التشغيل كود: 1901473 ----------------------------------------------------------- - امتحان مادة نظم التشغيل كود 1901473 يُعقد يوم الثلاثاء 5/5/2026 من الساعة 15:30 حتى 16:30 عصراً. - م. يونس بن ينسق مادة 1901473 نظم التشغيل، وعدد الطلاب 239 طالباً وتُعقد في مختبرات عديدة جداً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 119, "language": "Arabic", "was_translated": false }, { "text": "اً. - م. يونس بن ينسق مادة 1901473 نظم التشغيل، وعدد الطلاب 239 طالباً وتُعقد في مختبرات عديدة جداً. - مادة نظم التشغيل Operating Systems 1901473 تُعقد في 14 مختبراً مختلفاً في مبنى تكنولوجيا يوم الثلاثاء 5 مايو 2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 120, "language": "Arabic", "was_translated": false }, { "text": "يل Operating Systems 1901473 تُعقد في 14 مختبراً مختلفاً في مبنى تكنولوجيا يوم الثلاثاء 5 مايو 2026. [ 62 ] تطوير تطبيقات الويب كود: 1904120 ----------------------------------------------------------- - امتحان مادة تطوير تطبيقات الويب كود 1904120 يُعقد يوم السبت 2/5/2026 من الساعة 9:00 حتى 10:00 صباحاً. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 121, "language": "Arabic", "was_translated": false }, { "text": "مادة تطوير تطبيقات الويب كود 1904120 يُعقد يوم السبت 2/5/2026 من الساعة 9:00 حتى 10:00 صباحاً. - د. يرفس مخادمه ينسق مادة 1904120 تطوير تطبيقات الويب، وعدد الطلاب 481 طالباً وهو عدد ضخم جداً. - مادة تطوير تطبيقات الويب 1904120 تُعقد في أكثر من 11 قاعة وطابق في مبنى تكنولوجيا يوم السبت 2 مايو 2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 122, "language": "Arabic", "was_translated": false }, { "text": "تطوير تطبيقات الويب 1904120 تُعقد في أكثر من 11 قاعة وطابق في مبنى تكنولوجيا يوم السبت 2 مايو 2026. - مادة 1904120 تطوير الويب هي من أكبر المواد في الجدول بـ 481 طالباً وتحتاج لمختبرات متعددة في كل أرجاء المبنى.", "source": "جدول امتحانات الميد.docx", "chunk_id": 123, "language": "Arabic", "was_translated": false }, { "text": "120 تطوير الويب هي من أكبر المواد في الجدول بـ 481 طالباً وتحتاج لمختبرات متعددة في كل أرجاء المبنى. [ 63 ] تفاعل الإنسان مع الحاسوب كود: 1902353 ----------------------------------------------------------- - امتحان مادة تفاعل الإنسان مع الحاسوب كود 1902353 يُعقد يوم السبت 2/5/2026 من الساعة 10:00 حتى 10:30 صباحاً. - أ.", "source": "جدول امتحانات الميد.docx", "chunk_id": 124, "language": "Arabic", "was_translated": false }, { "text": "تفاعل الإنسان مع الحاسوب كود 1902353 يُعقد يوم السبت 2/5/2026 من الساعة 10:00 حتى 10:30 صباحاً. - أ.د سادم بو محموم ينسق مادة 1902353 تفاعل الإنسان مع الحاسوب، وعدد الطلاب 123 طالباً. - مادة HCI تفاعل الإنسان مع الحاسوب 1902353 تُعقد في مختبرات 103 و104 و105 و302 يوم السبت 2/5/2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 125, "language": "Arabic", "was_translated": false }, { "text": "- مادة HCI تفاعل الإنسان مع الحاسوب 1902353 تُعقد في مختبرات 103 و104 و105 و302 يوم السبت 2/5/2026. [ 64 ] أخلاقيات الحاسوب والتوثيق كود: 1901301 ----------------------------------------------------------- - امتحان مادة أخلاقيات الحاسوب والتوثيق كود 1901301 يُعقد يوم الثلاثاء 28/4/2026 من الساعة 11:30 حتى 15:30، مدته 4 ساعات. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 126, "language": "Arabic", "was_translated": false }, { "text": "اسوب والتوثيق كود 1901301 يُعقد يوم الثلاثاء 28/4/2026 من الساعة 11:30 حتى 15:30، مدته 4 ساعات. - د. مازن الوادي ينسق مادة 1901301 أخلاقيات الحاسوب والتوثيق، وعدد الطلاب 54 طالباً. - مادة أخلاقيات الحاسوب والتوثيق 1901301 لها مدة امتحان طويلة من 11:30 إلى 15:30 يوم الثلاثاء 28 أبريل 2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 127, "language": "Arabic", "was_translated": false }, { "text": "خلاقيات الحاسوب والتوثيق 1901301 لها مدة امتحان طويلة من 11:30 إلى 15:30 يوم الثلاثاء 28 أبريل 2026. [ 65 ] عمليات الأمن كود: 1911387 ----------------------------------------------------------- - امتحان مادة عمليات الأمن كود 1911387 يُعقد يوم الأحد 30/4/2026 من الساعة 15:00 حتى 16:00 عصراً. - د. عريب أبو الغنم ينسق مادة 1911387 عمليات الأمن، وعدد الطلاب 67 طالباً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 128, "language": "Arabic", "was_translated": false }, { "text": "عة 15:00 حتى 16:00 عصراً. - د. عريب أبو الغنم ينسق مادة 1911387 عمليات الأمن، وعدد الطلاب 67 طالباً. - مادة عمليات الأمن 1911387 تُعقد في مختبرات 206 و207 يوم الأحد 30 أبريل 2026. [ 66 ] الريادة والابتكار كود: 1902383 ----------------------------------------------------------- - امتحان مادة الريادة والابتكار كود 1902383 يُعقد يوم الأحد 26/4/2026 من الساعة 9:00 حتى 10:00 صباحاً. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 129, "language": "Arabic", "was_translated": false }, { "text": "ن مادة الريادة والابتكار كود 1902383 يُعقد يوم الأحد 26/4/2026 من الساعة 9:00 حتى 10:00 صباحاً. - د. ريم الفايز تنسق مادة 1902383 الريادة والابتكار، وعدد الطلاب 62 طالباً. - مادة الريادة والابتكار 1902383 تُعقد في مختبرات 101 و103 و104 يوم الأحد 26 أبريل 2026 صباحاً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 130, "language": "Arabic", "was_translated": false }, { "text": "باً. - مادة الريادة والابتكار 1902383 تُعقد في مختبرات 101 و103 و104 يوم الأحد 26 أبريل 2026 صباحاً. [ 67 ] أمن تطبيقات الويب كود: 1911351 ----------------------------------------------------------- - امتحان مادة أمن تطبيقات الويب كود 1911351 يُعقد يوم الأحد 27/4/2026 من الساعة 14:00 حتى 15:00. - د. محمد المعايعه ينسق مادة 1911351 أمن تطبيقات الويب، وعدد الطلاب 67 طالباً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 131, "language": "Arabic", "was_translated": false }, { "text": "ساعة 14:00 حتى 15:00. - د. محمد المعايعه ينسق مادة 1911351 أمن تطبيقات الويب، وعدد الطلاب 67 طالباً. - مادة أمن تطبيقات الويب 1911351 تُعقد في مختبرات 202 و302 و303 يوم الأحد 27 أبريل 2026. [ 68 ] أخلاقيات الحاسوب والتوثيق 2 كود: 1902203 ----------------------------------------------------------- - امتحان مادة أخلاقيات الحاسوب والتوثيق 1902203 يُعقد يوم الأحد 27/4/2026 من الساعة 11:30 حتى 12:30.", "source": "جدول امتحانات الميد.docx", "chunk_id": 132, "language": "Arabic", "was_translated": false }, { "text": "- امتحان مادة أخلاقيات الحاسوب والتوثيق 1902203 يُعقد يوم الأحد 27/4/2026 من الساعة 11:30 حتى 12:30. - د. هدى كراجة تنسق مادة 1902203، وعدد الطلاب 54 طالباً، وتُعقد في مختبرات 101 و103. - مادة 1902203 تُعقد يوم الأحد 27 أبريل 2026 من 11:30 إلى 12:30.", "source": "جدول امتحانات الميد.docx", "chunk_id": 133, "language": "Arabic", "was_translated": false }, { "text": "طالباً، وتُعقد في مختبرات 101 و103. - مادة 1902203 تُعقد يوم الأحد 27 أبريل 2026 من 11:30 إلى 12:30. [ 69 ] قواعد البيانات الغير علائقية كود: 1915331 ----------------------------------------------------------- - امتحان مادة قواعد البيانات الغير علائقية كود 1915331 يُعقد يوم الثلاثاء 28/4/2026 من الساعة 11:30 حتى 12:30. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 134, "language": "Arabic", "was_translated": false }, { "text": "واعد البيانات الغير علائقية كود 1915331 يُعقد يوم الثلاثاء 28/4/2026 من الساعة 11:30 حتى 12:30. - د. هدى كراجة تنسق مادة 1915331 قواعد البيانات الغير علائقية NoSQL، وعدد الطلاب 54 طالباً. - مادة NoSQL قواعد البيانات الغير علائقية 1915331 تُعقد في مختبرات 104 و105 و203 و301 يوم الثلاثاء 28 أبريل 2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 135, "language": "Arabic", "was_translated": false }, { "text": "قواعد البيانات الغير علائقية 1915331 تُعقد في مختبرات 104 و105 و203 و301 يوم الثلاثاء 28 أبريل 2026. [ 70 ] هندسة البرمجيات كود: 1902472 ----------------------------------------------------------- - امتحان مادة هندسة البرمجيات كود 1902472 يُعقد يوم الثلاثاء 28/4/2026 من الساعة 14:30 حتى 15:30. - أ.د امجد هديب ينسق مادة 1902472 هندسة البرمجيات، وعدد الطلاب 43 طالباً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 136, "language": "Arabic", "was_translated": false }, { "text": "من الساعة 14:30 حتى 15:30. - أ.د امجد هديب ينسق مادة 1902472 هندسة البرمجيات، وعدد الطلاب 43 طالباً. - مادة هندسة البرمجيات Software Engineering 1902472 تُعقد في مختبرات 104 و105 و203 و301 وط/1ق3 يوم الثلاثاء 28/4/2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 137, "language": "Arabic", "was_translated": false }, { "text": "جيات Software Engineering 1902472 تُعقد في مختبرات 104 و105 و203 و301 وط/1ق3 يوم الثلاثاء 28/4/2026. [ 71 ] موضوعات خاصة في علوم البيانات كود: 1915494 ----------------------------------------------------------- - امتحان مادة موضوعات خاصة في علوم البيانات كود 1915494 يُعقد يوم الثلاثاء 28/4/2026 من الساعة 15:30 حتى 16:30. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 138, "language": "Arabic", "was_translated": false }, { "text": "ضوعات خاصة في علوم البيانات كود 1915494 يُعقد يوم الثلاثاء 28/4/2026 من الساعة 15:30 حتى 16:30. - د. يوسف سنجالوي ينسق مادة 1915494 موضوعات خاصة في علوم البيانات، وعدد الطلاب 23 طالباً. - مادة الموضوعات الخاصة في علوم البيانات 1915494 تُعقد في مختبر تكنولوجيا 302 يوم الثلاثاء 28 أبريل 2026 عصراً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 139, "language": "Arabic", "was_translated": false }, { "text": "ضوعات الخاصة في علوم البيانات 1915494 تُعقد في مختبر تكنولوجيا 302 يوم الثلاثاء 28 أبريل 2026 عصراً. [ 72 ] هندسة البرمجيات الآمنة كود: 1911371 ----------------------------------------------------------- - امتحان مادة هندسة البرمجيات الآمنة كود 1911371 يُعقد يوم الخميس 30/4/2026 من الساعة 15:30 حتى 16:30. - م. سليم الضايره ينسق مادة 1911371 هندسة البرمجيات الآمنة، وعدد الطلاب 42 طالباً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 140, "language": "Arabic", "was_translated": false }, { "text": "15:30 حتى 16:30. - م. سليم الضايره ينسق مادة 1911371 هندسة البرمجيات الآمنة، وعدد الطلاب 42 طالباً. - مادة هندسة البرمجيات الآمنة Secure SE 1911371 تُعقد في مختبرات 101 و206 و207 يوم الخميس 30 أبريل 2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 141, "language": "Arabic", "was_translated": false }, { "text": "دة هندسة البرمجيات الآمنة Secure SE 1911371 تُعقد في مختبرات 101 و206 و207 يوم الخميس 30 أبريل 2026. [ 73 ] موضوعات خاصة في الذكاء الاصطناعي كود: 1905493 ----------------------------------------------------------- - امتحان مادة موضوعات خاصة في الذكاء الاصطناعي كود 1905493 يُعقد يوم الخميس 30/4/2026 من الساعة 15:30 حتى 16:30. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 142, "language": "Arabic", "was_translated": false }, { "text": "وعات خاصة في الذكاء الاصطناعي كود 1905493 يُعقد يوم الخميس 30/4/2026 من الساعة 15:30 حتى 16:30. - د. ماهر الشحاتمه ينسق مادة 1905493 موضوعات خاصة في الذكاء الاصطناعي، وعدد الطلاب 43 طالباً. - مادة الموضوعات الخاصة في AI 1905493 تُعقد في مختبر تكنولوجيا ط/3ق3 يوم الخميس 30/4/2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 143, "language": "Arabic", "was_translated": false }, { "text": "3 طالباً. - مادة الموضوعات الخاصة في AI 1905493 تُعقد في مختبر تكنولوجيا ط/3ق3 يوم الخميس 30/4/2026. [ 74 ] الحوسبة السحابية كود: 1915461 ----------------------------------------------------------- - امتحان مادة الحوسبة السحابية كود 1915461 يُعقد يوم الخميس 30/4/2026 من الساعة 15:30 حتى 16:30. - م. ألكى شلب ينسق مادة 1915461 الحوسبة السحابية Cloud Computing، وعدد الطلاب 40 طالباً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 144, "language": "Arabic", "was_translated": false }, { "text": "حتى 16:30. - م. ألكى شلب ينسق مادة 1915461 الحوسبة السحابية Cloud Computing، وعدد الطلاب 40 طالباً. - مادة الحوسبة السحابية 1915461 تُعقد في مختبر تكنولوجيا 001 يوم الخميس 30 أبريل 2026 عصراً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 145, "language": "Arabic", "was_translated": false }, { "text": "طالباً. - مادة الحوسبة السحابية 1915461 تُعقد في مختبر تكنولوجيا 001 يوم الخميس 30 أبريل 2026 عصراً. [ 75 ] الأنظمة المتأقلمة للمستخدم كود: 1905323 ----------------------------------------------------------- - امتحان مادة الأنظمة المتأقلمة للمستخدم كود 1905323 يُعقد يوم الخميس 30/4/2026 من الساعة 15:30 حتى 16:30. - م.", "source": "جدول امتحانات الميد.docx", "chunk_id": 146, "language": "Arabic", "was_translated": false }, { "text": "دة الأنظمة المتأقلمة للمستخدم كود 1905323 يُعقد يوم الخميس 30/4/2026 من الساعة 15:30 حتى 16:30. - م. إياس هبطان ينسق مادة 1905323 الأنظمة المتأقلمة للمستخدم، وعدد الطلاب 20 طالباً فقط. - مادة الأنظمة المتأقلمة للمستخدم 1905323 تُعقد في مختبر ط/2ق3 يوم الخميس 30 أبريل 2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 147, "language": "Arabic", "was_translated": false }, { "text": "طالباً فقط. - مادة الأنظمة المتأقلمة للمستخدم 1905323 تُعقد في مختبر ط/2ق3 يوم الخميس 30 أبريل 2026. [ 76 ] معالجة اللغات الطبيعية كود: 1905380 ----------------------------------------------------------- - امتحان مادة معالجة اللغات الطبيعية NLP كود 1905380 يُعقد يوم الأحد 3/5/2026 من الساعة 14:30 حتى 15:30. - د. لؤي النمر ينسق مادة 1905380 معالجة اللغات الطبيعية، وعدد الطلاب 90 طالباً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 148, "language": "Arabic", "was_translated": false }, { "text": "اعة 14:30 حتى 15:30. - د. لؤي النمر ينسق مادة 1905380 معالجة اللغات الطبيعية، وعدد الطلاب 90 طالباً. - مادة NLP معالجة اللغات الطبيعية 1905380 تُعقد في مختبرات 001 و002 و101 و102 يوم الأحد 3 مايو 2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 149, "language": "Arabic", "was_translated": false }, { "text": "- مادة NLP معالجة اللغات الطبيعية 1905380 تُعقد في مختبرات 001 و002 و101 و102 يوم الأحد 3 مايو 2026. [ 77 ] أنظمة المعلومات وتطبيقاتها كود: 1902225 ----------------------------------------------------------- - امتحان مادة أنظمة المعلومات وتطبيقاتها كود 1902225 يُعقد يوم الاثنين 4/5/2026 من الساعة 11:30 حتى 12:30. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 150, "language": "Arabic", "was_translated": false }, { "text": "دة أنظمة المعلومات وتطبيقاتها كود 1902225 يُعقد يوم الاثنين 4/5/2026 من الساعة 11:30 حتى 12:30. - د. محمد أبو ريس ينسق مادة 1902225 أنظمة المعلومات وتطبيقاتها، وعدد الطلاب 89 طالباً. - مادة أنظمة المعلومات وتطبيقاتها 1902225 تُعقد في مختبرات 102 و201 و302 و303 يوم الاثنين 4/5/2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 151, "language": "Arabic", "was_translated": false }, { "text": "- مادة أنظمة المعلومات وتطبيقاتها 1902225 تُعقد في مختبرات 102 و201 و302 و303 يوم الاثنين 4/5/2026. [ 78 ] نظرية البيانات كود: 1901443 ----------------------------------------------------------- - امتحان مادة نظرية البيانات كود 1901443 يُعقد يوم الاثنين 4/5/2026 من الساعة 13:00 حتى 14:00. - د. باتسمه الشقرات تنسق مادة 1901443 نظرية البيانات، وعدد الطلاب 56 طالباً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 152, "language": "Arabic", "was_translated": false }, { "text": "الساعة 13:00 حتى 14:00. - د. باتسمه الشقرات تنسق مادة 1901443 نظرية البيانات، وعدد الطلاب 56 طالباً. - مادة نظرية البيانات 1901443 تُعقد في مختبرات تكنولوجيا 101 و102 يوم الاثنين 4 مايو 2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 153, "language": "Arabic", "was_translated": false }, { "text": "6 طالباً. - مادة نظرية البيانات 1901443 تُعقد في مختبرات تكنولوجيا 101 و102 يوم الاثنين 4 مايو 2026. [ 79 ] التعلم الآلي والشبكات العصبونية كود: 1915370 ----------------------------------------------------------- - امتحان مادة التعلم الآلي والشبكات العصبونية كود 1915370 يُعقد يوم الأربعاء 6/5/2026 من الساعة 13:00 حتى 14:00. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 154, "language": "Arabic", "was_translated": false }, { "text": "علم الآلي والشبكات العصبونية كود 1915370 يُعقد يوم الأربعاء 6/5/2026 من الساعة 13:00 حتى 14:00. - د. الروضان تنسق مادة 1915370 التعلم الآلي والشبكات العصبونية Machine Learning، وعدد الطلاب 62 طالباً. - مادة Machine Learning التعلم الآلي 1915370 تُعقد في مختبرات 001 و002 و206 و207 يوم الأربعاء 6 مايو 2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 155, "language": "Arabic", "was_translated": false }, { "text": "Machine Learning التعلم الآلي 1915370 تُعقد في مختبرات 001 و002 و206 و207 يوم الأربعاء 6 مايو 2026. [ 80 ] هندسة البرمجيات 2 كود: 1902372 ----------------------------------------------------------- - امتحان مادة هندسة البرمجيات كود 1902372 يُعقد يوم الأربعاء 4/5/2026 من الساعة 12:30 حتى 13:00. - د. أحمد السوالقة ينسق مادة 1902372 هندسة البرمجيات، وعدد الطلاب 298 طالباً وهو عدد كبير.", "source": "جدول امتحانات الميد.docx", "chunk_id": 156, "language": "Arabic", "was_translated": false }, { "text": "تى 13:00. - د. أحمد السوالقة ينسق مادة 1902372 هندسة البرمجيات، وعدد الطلاب 298 طالباً وهو عدد كبير. - مادة هندسة البرمجيات 1902372 تُعقد في مختبرات عديدة منها 002 و101 و102 و103 و105 و206 يوم الأربعاء 4 مايو 2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 157, "language": "Arabic", "was_translated": false }, { "text": "البرمجيات 1902372 تُعقد في مختبرات عديدة منها 002 و101 و102 و103 و105 و206 يوم الأربعاء 4 مايو 2026. [ 81 ] تطبيقات الويب المتقدمة كود: 1904254 ----------------------------------------------------------- - امتحان مادة تطبيقات الويب المتقدمة كود 1904254 يُعقد يوم الثلاثاء 28/4/2026 من الساعة 10:30 حتى 11:30. - د. بشار الشبول ينسق مادة 1904254 تطبيقات الويب المتقدمة، وعدد الطلاب 64 طالباً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 158, "language": "Arabic", "was_translated": false }, { "text": "ة 10:30 حتى 11:30. - د. بشار الشبول ينسق مادة 1904254 تطبيقات الويب المتقدمة، وعدد الطلاب 64 طالباً. - مادة تطبيقات الويب المتقدمة 1904254 تُعقد في مختبرات 103 و104 يوم الثلاثاء 28/4/2026. [ 82 ] تحليل وتصميم النظم كود: 1902474 ----------------------------------------------------------- - امتحان مادة تحليل وتصميم النظم كود 1902474 يُعقد يوم الأربعاء 29/4/2026 من الساعة 11:30 حتى 12:30. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 159, "language": "Arabic", "was_translated": false }, { "text": "حان مادة تحليل وتصميم النظم كود 1902474 يُعقد يوم الأربعاء 29/4/2026 من الساعة 11:30 حتى 12:30. - د. أحمد السوالقه ينسق مادة 1902474 تحليل وتصميم النظم، وعدد الطلاب 72 طالباً. - مادة تحليل وتصميم النظم 1902474 تُعقد في مختبرات 001 و002 و101 و102 يوم الأربعاء 29 أبريل 2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 160, "language": "Arabic", "was_translated": false }, { "text": "ً. - مادة تحليل وتصميم النظم 1902474 تُعقد في مختبرات 001 و002 و101 و102 يوم الأربعاء 29 أبريل 2026. [ 83 ] أمن وخصوصية المعلومات كود: 1911322 ----------------------------------------------------------- - امتحان مادة أمن وخصوصية المعلومات كود 1911322 يُعقد يوم الخميس 23/4/2026 من الساعة 13:30 حتى 15:30، ومدته ساعتان. - م.", "source": "جدول امتحانات الميد.docx", "chunk_id": 161, "language": "Arabic", "was_translated": false }, { "text": "صوصية المعلومات كود 1911322 يُعقد يوم الخميس 23/4/2026 من الساعة 13:30 حتى 15:30، ومدته ساعتان. - م. تزينة القباج تنسق مادة 1911322 أمن وخصوصية المعلومات، وعدد الطلاب 240 طالباً وهو عدد كبير. - مادة أمن وخصوصية المعلومات Information Security 1911322 تُعقد في مختبرات عديدة تشمل 101 و102 و103 و105 و202 و203 و204 و206 يوم الخميس 23/4/2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 162, "language": "Arabic", "was_translated": false }, { "text": "ity 1911322 تُعقد في مختبرات عديدة تشمل 101 و102 و103 و105 و202 و203 و204 و206 يوم الخميس 23/4/2026. [ 84 ] البرمجة المقدمة كود: 1941102 ----------------------------------------------------------- - امتحان مادة البرمجة المقدمة كود 1941102 يُعقد يوم الأربعاء 22/4/2026 من الساعة 13:30 حتى 15:30. - م. تزينة القباج تنسق مادة 1941102 البرمجة المقدمة، وعدد الطلاب 247 طالباً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 163, "language": "Arabic", "was_translated": false }, { "text": "الساعة 13:30 حتى 15:30. - م. تزينة القباج تنسق مادة 1941102 البرمجة المقدمة، وعدد الطلاب 247 طالباً. - مادة البرمجة المقدمة 1941102 تُعقد يوم الأربعاء 22 أبريل 2026 مدة ساعتين من 1:30 إلى 3:30 عصراً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 164, "language": "Arabic", "was_translated": false }, { "text": ". - مادة البرمجة المقدمة 1941102 تُعقد يوم الأربعاء 22 أبريل 2026 مدة ساعتين من 1:30 إلى 3:30 عصراً. [ 85 ] إدارة عمليات تكنولوجيا المعلومات كود: 1904472 ----------------------------------------------------------- - امتحان مادة إدارة عمليات تكنولوجيا المعلومات كود 1904472 يُعقد يوم الأحد 26/4/2026 من الساعة 10:00 حتى 11:00. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 165, "language": "Arabic", "was_translated": false }, { "text": "ارة عمليات تكنولوجيا المعلومات كود 1904472 يُعقد يوم الأحد 26/4/2026 من الساعة 10:00 حتى 11:00. - د. محمد الراشد ينسق مادة 1904472 إدارة عمليات تكنولوجيا المعلومات، وعدد الطلاب 55 طالباً. - مادة إدارة عمليات IT 1904472 تُعقد في مختبرات 202 و206 و302 يوم الأحد 26 أبريل 2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 166, "language": "Arabic", "was_translated": false }, { "text": "اب 55 طالباً. - مادة إدارة عمليات IT 1904472 تُعقد في مختبرات 202 و206 و302 يوم الأحد 26 أبريل 2026. [ 86 ] الذكاء الأمني كود: 1911489 ----------------------------------------------------------- - امتحان مادة الذكاء الأمني كود 1911489 يُعقد يوم الثلاثاء 21/4/2026 من الساعة 12:30 حتى 14:00. - أ.د عمر القاضي ينسق مادة 1911489 الذكاء الأمني، وعدد الطلاب 40 طالباً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 167, "language": "Arabic", "was_translated": false }, { "text": "من الساعة 12:30 حتى 14:00. - أ.د عمر القاضي ينسق مادة 1911489 الذكاء الأمني، وعدد الطلاب 40 طالباً. - مادة الذكاء الأمني Security Intelligence 1911489 تُعقد في مختبرات 103 و104 يوم الثلاثاء 21 أبريل 2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 168, "language": "Arabic", "was_translated": false }, { "text": "دة الذكاء الأمني Security Intelligence 1911489 تُعقد في مختبرات 103 و104 يوم الثلاثاء 21 أبريل 2026. [ 87 ] أساسيات الحاسوب كود: 0309099 ----------------------------------------------------------- - امتحان مادة أساسيات الحاسوب كود 0309099 يُعقد يوم الخميس 23/4/2026 من الساعة 9:00 صباحاً حتى 1:00 ظهراً، مدته 4 ساعات. - م.", "source": "جدول امتحانات الميد.docx", "chunk_id": 169, "language": "Arabic", "was_translated": false }, { "text": "اسوب كود 0309099 يُعقد يوم الخميس 23/4/2026 من الساعة 9:00 صباحاً حتى 1:00 ظهراً، مدته 4 ساعات. - م. بقضاوي ينسق مادة 0309099 أساسيات الحاسوب، وعدد الطلاب 1922 طالباً وهو أكبر عدد في الجدول. - مادة أساسيات الحاسوب Computer Basics 0309099 هي أضخم مادة في الجدول بعدد 1922 طالباً وتُعقد في مختبرات المركز يوم الخميس 23/4/2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 170, "language": "Arabic", "was_translated": false }, { "text": "asics 0309099 هي أضخم مادة في الجدول بعدد 1922 طالباً وتُعقد في مختبرات المركز يوم الخميس 23/4/2026. - يوم الخميس 23 أبريل 2026 يوجد فيه امتحانان ضخمان جداً هما أساسيات الحاسوب 0309099 وبرمجة الكائنات 1902110 وكلاهما يبدأ الساعة 9 صباحاً. - مادة 0309099 أساسيات الحاسوب مدتها 4 ساعات كاملة وعدد طلابها 1922 وهو الأضخم في كل الجدول.", "source": "جدول امتحانات الميد.docx", "chunk_id": 171, "language": "Arabic", "was_translated": false }, { "text": "صباحاً. - مادة 0309099 أساسيات الحاسوب مدتها 4 ساعات كاملة وعدد طلابها 1922 وهو الأضخم في كل الجدول. [ 88 ] الأنظمة المادية للأمن السيبراني CPSS كود: 1911431 ----------------------------------------------------------- - امتحان مادة الأنظمة المادية للأمن السيبراني CPSS كود 1911431 يُعقد يوم الأربعاء 22/4/2026 من الساعة 14:30 حتى 15:30. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 172, "language": "Arabic", "was_translated": false }, { "text": "لمادية للأمن السيبراني CPSS كود 1911431 يُعقد يوم الأربعاء 22/4/2026 من الساعة 14:30 حتى 15:30. - د. محمد المعايعه ينسق مادة 1911431 CPSS الأنظمة المادية للأمن السيبراني، وعدد الطلاب 33 طالباً. - مادة CPSS 1911431 تُعقد في مختبر تكنولوجيا 104 يوم الأربعاء 22 أبريل 2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 173, "language": "Arabic", "was_translated": false }, { "text": "وعدد الطلاب 33 طالباً. - مادة CPSS 1911431 تُعقد في مختبر تكنولوجيا 104 يوم الأربعاء 22 أبريل 2026. [ 89 ] إدارة الجودة الشاملة كود: 1904481 ----------------------------------------------------------- - امتحان مادة إدارة الجودة الشاملة كود 1904481 يُعقد يوم الأربعاء 22/4/2026 من الساعة 14:30 حتى 15:30. - د. يزن الشمايله ينسق مادة 1904481 إدارة الجودة الشاملة TQM، وعدد الطلاب 22 طالباً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 174, "language": "Arabic", "was_translated": false }, { "text": "4:30 حتى 15:30. - د. يزن الشمايله ينسق مادة 1904481 إدارة الجودة الشاملة TQM، وعدد الطلاب 22 طالباً. - مادة إدارة الجودة الشاملة TQM 1904481 تُعقد في مختبر تكنولوجيا 302 يوم الأربعاء 22/4/2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 175, "language": "Arabic", "was_translated": false }, { "text": "طالباً. - مادة إدارة الجودة الشاملة TQM 1904481 تُعقد في مختبر تكنولوجيا 302 يوم الأربعاء 22/4/2026. [ 90 ] تقنيات ويب وتطبيقاتها الإلكترونية كود: 1904355 ----------------------------------------------------------- - امتحان مادة تقنيات الويب والتطبيقات الإلكترونية كود 1904355 يُعقد يوم الأربعاء 22/4/2026 من الساعة 10:00 حتى 11:00. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 176, "language": "Arabic", "was_translated": false }, { "text": "لويب والتطبيقات الإلكترونية كود 1904355 يُعقد يوم الأربعاء 22/4/2026 من الساعة 10:00 حتى 11:00. - د. دانة القضاه تنسق مادة 1904355 تقنيات الويب والتطبيقات الإلكترونية، وعدد الطلاب 26 طالباً. - مادة تقنيات الويب 1904355 تُعقد في مختبر تكنولوجيا 304 يوم الأربعاء 22 أبريل 2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 177, "language": "Arabic", "was_translated": false }, { "text": "طلاب 26 طالباً. - مادة تقنيات الويب 1904355 تُعقد في مختبر تكنولوجيا 304 يوم الأربعاء 22 أبريل 2026. [ 91 ] الأنماط وتحليل المعلومات كود: 1915371 ----------------------------------------------------------- - امتحان مادة الأنماط وتحليل المعلومات كود 1915371 يُعقد يوم الأربعاء 22/4/2026 من الساعة 10:00 حتى 11:00. - د. ماهر الشحاتمه ينسق مادة 1915371 الأنماط وتحليل المعلومات، وعدد الطلاب 40 طالباً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 178, "language": "Arabic", "was_translated": false }, { "text": ":00 حتى 11:00. - د. ماهر الشحاتمه ينسق مادة 1915371 الأنماط وتحليل المعلومات، وعدد الطلاب 40 طالباً. - مادة الأنماط وتحليل المعلومات Pattern Recognition 1915371 تُعقد في مختبر ط/2ق3 يوم الأربعاء 22/4/2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 179, "language": "Arabic", "was_translated": false }, { "text": "دة الأنماط وتحليل المعلومات Pattern Recognition 1915371 تُعقد في مختبر ط/2ق3 يوم الأربعاء 22/4/2026. [ 92 ] المشكلات الحسابية والتقنيات كود: 1901444 ----------------------------------------------------------- - امتحان مادة المشكلات الحسابية والتقنيات كود 1901444 يُعقد يوم الأربعاء 22/4/2026 من الساعة 13:00 حتى 14:00. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 180, "language": "Arabic", "was_translated": false }, { "text": "المشكلات الحسابية والتقنيات كود 1901444 يُعقد يوم الأربعاء 22/4/2026 من الساعة 13:00 حتى 14:00. - د. باتسمه الشقرات تنسق مادة 1901444 المشكلات الحسابية والتقنيات، وعدد الطلاب 43 طالباً. - مادة المشكلات الحسابية 1901444 تُعقد في مختبر ط/2ق1 يوم الأربعاء 22 أبريل 2026 ظهراً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 181, "language": "Arabic", "was_translated": false }, { "text": "ب 43 طالباً. - مادة المشكلات الحسابية 1901444 تُعقد في مختبر ط/2ق1 يوم الأربعاء 22 أبريل 2026 ظهراً. [ 93 ] برمجة البايثون وحل المشكلات كود: 1915111 ----------------------------------------------------------- - امتحان مادة برمجة البايثون وحل المشكلات كود 1915111 يُعقد يوم السبت 25/4/2026 من الساعة 12:30 حتى 13:30. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 182, "language": "Arabic", "was_translated": false }, { "text": "دة برمجة البايثون وحل المشكلات كود 1915111 يُعقد يوم السبت 25/4/2026 من الساعة 12:30 حتى 13:30. - د. رن عبيدات تنسق مادة 1915111 برمجة البايثون وحل المشكلات، وعدد الطلاب 271 طالباً وهو عدد كبير. - مادة Python برمجة البايثون 1915111 تُعقد في مختبرات 002 و101 و102 و201 و206 يوم السبت 25 أبريل 2026. - مادة 1915111 برمجة البايثون لديها 271 طالباً وتُعقد يوم السبت 25/4/2026 من 12:30 إلى 13:30.", "source": "جدول امتحانات الميد.docx", "chunk_id": 183, "language": "Arabic", "was_translated": false }, { "text": "2026. - مادة 1915111 برمجة البايثون لديها 271 طالباً وتُعقد يوم السبت 25/4/2026 من 12:30 إلى 13:30. [ 94 ] برمجة خوادم الويب كود: 1904253 ----------------------------------------------------------- - امتحان مادة برمجة خوادم الويب كود 1904253 يُعقد يوم الأربعاء 6/5/2026 من الساعة 11:30 حتى 12:30. - د. محمد الراشد ينسق مادة 1904253 برمجة خوادم الويب، وعدد الطلاب 41 طالباً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 184, "language": "Arabic", "was_translated": false }, { "text": "الساعة 11:30 حتى 12:30. - د. محمد الراشد ينسق مادة 1904253 برمجة خوادم الويب، وعدد الطلاب 41 طالباً. - مادة برمجة خوادم الويب 1904253 تُعقد في مختبرات 001 و002 يوم الأربعاء 6 مايو 2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 185, "language": "Arabic", "was_translated": false }, { "text": "طلاب 41 طالباً. - مادة برمجة خوادم الويب 1904253 تُعقد في مختبرات 001 و002 يوم الأربعاء 6 مايو 2026. [ 95 ] أخلاقيات الذكاء الاصطناعي وعلوم البيانات كود: 1905220 ----------------------------------------------------------- - امتحان مادة أخلاقيات الذكاء الاصطناعي وعلوم البيانات كود 1905220 يُعقد يوم الأربعاء 6/5/2026 من الساعة 13:00 حتى 14:00. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 186, "language": "Arabic", "was_translated": false }, { "text": "كاء الاصطناعي وعلوم البيانات كود 1905220 يُعقد يوم الأربعاء 6/5/2026 من الساعة 13:00 حتى 14:00. - د. الخطيب ينسق مادة 1905220 أخلاقيات الذكاء الاصطناعي، وعدد الطلاب 59 طالباً. - مادة أخلاقيات AI وعلوم البيانات 1905220 تُعقد في مختبرات 001 و103 و104 و105 يوم الأربعاء 6/5/2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 187, "language": "Arabic", "was_translated": false }, { "text": "- مادة أخلاقيات AI وعلوم البيانات 1905220 تُعقد في مختبرات 001 و103 و104 و105 يوم الأربعاء 6/5/2026. [ 96 ] التنقيب عن البيانات كود: 1905222 ----------------------------------------------------------- - امتحان مادة التنقيب عن البيانات Data Mining كود 1905222 يُعقد يوم الثلاثاء 5/5/2026 من الساعة 15:30 حتى 16:30. - أ.د رزق السيد ينسق مادة 1905222 التنقيب عن البيانات، وعدد الطلاب 113 طالباً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 188, "language": "Arabic", "was_translated": false }, { "text": "ساعة 15:30 حتى 16:30. - أ.د رزق السيد ينسق مادة 1905222 التنقيب عن البيانات، وعدد الطلاب 113 طالباً. - مادة Data Mining التنقيب عن البيانات 1905222 تُعقد في عدة مختبرات منها 001 و002 و101 و102 و103 و105 يوم الثلاثاء 5 مايو 2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 189, "language": "Arabic", "was_translated": false }, { "text": "عن البيانات 1905222 تُعقد في عدة مختبرات منها 001 و002 و101 و102 و103 و105 يوم الثلاثاء 5 مايو 2026. [ 97 ] أمن الشبكة كود: 1911361 ----------------------------------------------------------- - امتحان مادة أمن الشبكة Network Security كود 1911361 يُعقد يوم الثلاثاء 5/5/2026 من الساعة 10:30 حتى 11:30. - د. مالك العيسى ينسق مادة 1911361 أمن الشبكة، وعدد الطلاب 75 طالباً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 190, "language": "Arabic", "was_translated": false }, { "text": "026 من الساعة 10:30 حتى 11:30. - د. مالك العيسى ينسق مادة 1911361 أمن الشبكة، وعدد الطلاب 75 طالباً. - مادة أمن الشبكة 1911361 تُعقد في مختبرات 104 و105 و203 يوم الثلاثاء 5 مايو 2026. [ 98 ] الأنظمة المضمنة كود: 1905330 ----------------------------------------------------------- - امتحان مادة الأنظمة المضمنة Embedded Systems كود 1905330 يُعقد يوم الأربعاء 6/5/2026 من الساعة 11:30 حتى 12:30. - د.", "source": "جدول امتحانات الميد.docx", "chunk_id": 191, "language": "Arabic", "was_translated": false }, { "text": "ظمة المضمنة Embedded Systems كود 1905330 يُعقد يوم الأربعاء 6/5/2026 من الساعة 11:30 حتى 12:30. - د. موسى اليمن ينسق مادة 1905330 الأنظمة المضمنة، وعدد الطلاب 49 طالباً. - مادة الأنظمة المضمنة 1905330 تُعقد في مختبرات ط/3ق3 و301 و303 يوم الأربعاء 6 مايو 2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 192, "language": "Arabic", "was_translated": false }, { "text": "49 طالباً. - مادة الأنظمة المضمنة 1905330 تُعقد في مختبرات ط/3ق3 و301 و303 يوم الأربعاء 6 مايو 2026. [ 99 ] إدارة الأمن والتدقيق كود: 1911321 ----------------------------------------------------------- - امتحان مادة إدارة الأمن والتدقيق كود 1911321 يُعقد يوم الأربعاء 6/5/2026 من الساعة 11:30 حتى 12:30. - د. محمد عتوم ينسق مادة 1911321 إدارة الأمن والتدقيق، وعدد الطلاب 41 طالباً.", "source": "جدول امتحانات الميد.docx", "chunk_id": 193, "language": "Arabic", "was_translated": false }, { "text": "لساعة 11:30 حتى 12:30. - د. محمد عتوم ينسق مادة 1911321 إدارة الأمن والتدقيق، وعدد الطلاب 41 طالباً. - مادة إدارة الأمن والتدقيق 1911321 تُعقد في مختبرات 207 و301 يوم الأربعاء 6 مايو 2026. [ 100 ] تحليل خبرة علوم الحوسبة كود: 1915101 ----------------------------------------------------------- - امتحان مادة تحليل خبرة علوم الحوسبة كود 1915101 يُعقد يوم الأحد 30/4/2026 من الساعة 14:30 حتى 15:30.", "source": "جدول امتحانات الميد.docx", "chunk_id": 194, "language": "Arabic", "was_translated": false }, { "text": "امتحان مادة تحليل خبرة علوم الحوسبة كود 1915101 يُعقد يوم الأحد 30/4/2026 من الساعة 14:30 حتى 15:30. - أ.د عمر القاضي ينسق مادة 1915101 تحليل خبرة علوم الحوسبة، وعدد الطلاب 208 طالباً. - مادة 1915101 تُعقد في عدد كبير جداً من المختبرات 14 مختبراً مختلفاً في مبنى تكنولوجيا يوم الأحد 30 أبريل 2026.", "source": "جدول امتحانات الميد.docx", "chunk_id": 195, "language": "Arabic", "was_translated": false }, { "text": "01 تُعقد في عدد كبير جداً من المختبرات 14 مختبراً مختلفاً في مبنى تكنولوجيا يوم الأحد 30 أبريل 2026. =========================================================== ملخص الجدول العام =========================================================== - جدول امتحانات منتصف الفصل الدراسي الثاني 2025-2026 لكلية تكنولوجيا المعلومات بالجامعة الأردنية يشمل أكثر من 90 مادة دراسية مختلفة.", "source": "جدول امتحانات الميد.docx", "chunk_id": 196, "language": "Arabic", "was_translated": false }, { "text": "اسي الثاني 2025-2026 لكلية تكنولوجيا المعلومات بالجامعة الأردنية يشمل أكثر من 90 مادة دراسية مختلفة. - أكبر امتحان في الجدول هو مادة المهارات الرقمية الحديثة 0309103 بعدد 3628 طالباً تليها أساسيات الحاسوب 0309099 بعدد 1922 طالباً. - تبدأ الامتحانات من منتصف مارس 2026 وتمتد حتى مطلع مايو 2026 وتُعقد جميعها في مختبرات وقاعات مبنى تكنولوجيا المعلومات بالجامعة الأردنية.", "source": "جدول امتحانات الميد.docx", "chunk_id": 197, "language": "Arabic", "was_translated": false }, { "text": "وتمتد حتى مطلع مايو 2026 وتُعقد جميعها في مختبرات وقاعات مبنى تكنولوجيا المعلومات بالجامعة الأردنية. - جميع امتحانات منتصف الفصل لكلية IT الجامعة الأردنية تُعقد في مختبرات مبنى التكنولوجيا المرقمة من 001 حتى 303 وفي طوابق مختلفة. - يشمل الجدول مواد من تخصصات متعددة منها علوم الحاسوب وأمن المعلومات وذكاء اصطناعي وهندسة برمجيات وقواعد بيانات وشبكات. - من المنسقين البارزين في الجدول أ.د رزق السيد وأ.", "source": "جدول امتحانات الميد.docx", "chunk_id": 198, "language": "Arabic", "was_translated": false }, { "text": "ذكاء اصطناعي وهندسة برمجيات وقواعد بيانات وشبكات. - من المنسقين البارزين في الجدول أ.د رزق السيد وأ.د عزام سليط وأ.د حامد البدور وأ.د حازم الحياري وأ.د عمر القاضي وأ.د عبداللطيف أبودلهوم. - بعض المواد مثل برمجة الكائنات 1902110 وتطوير تطبيقات الويب 1904120 تحتاج لأكثر من 10 مختبرات لاستيعاب أعداد طلابها الكبيرة.", "source": "جدول امتحانات الميد.docx", "chunk_id": 199, "language": "Arabic", "was_translated": false }, { "text": "كائنات 1902110 وتطوير تطبيقات الويب 1904120 تحتاج لأكثر من 10 مختبرات لاستيعاب أعداد طلابها الكبيرة. - معظم امتحانات منتصف الفصل مدتها ساعة واحدة فقط، بينما بعضها يمتد لأربع ساعات كاملة مثل أساسيات الحاسوب والمهارات الرقمية الحديثة وبرمجة الكائنات.", "source": "جدول امتحانات الميد.docx", "chunk_id": 200, "language": "Arabic", "was_translated": false }, { "text": "ط، بينما بعضها يمتد لأربع ساعات كاملة مثل أساسيات الحاسوب والمهارات الرقمية الحديثة وبرمجة الكائنات.", "source": "جدول امتحانات الميد.docx", "chunk_id": 201, "language": "Arabic", "was_translated": false }, { "text": "دليل أعضاء هيئة التدريس مع توضيح البريد الإلكتروني (للأنظمة الذكية) هذا المستند مُهيأ لأنظمة RAG حيث يتم توضيح البريد الإلكتروني نصيًا داخل الجملة، مع ذكر الاسم بالعربية والإنجليزية والقسم بشكل صريح. قسم علوم الحاسوب (Computer Science - CS) الأساتذة الاسم: أ.د. عبداللطيف أبودلهوم (Abdullatif Abudlahom)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: a.latif@ju.edu.jo. الاسم: أ.د.", "source": "دليل_اعضاء_هيئة_التدريس_RAG.docx", "chunk_id": 1, "language": "Arabic", "was_translated": false }, { "text": "om)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: a.latif@ju.edu.jo. الاسم: أ.د. أحمد الشرايعة (Ahmad Al-Sharaiah)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: sharieh@ju.edu.jo. الاسم: أ.د. عزام سليط (Azzam Sleit)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: azzam.sleit@ju.edu.jo. الاسم: أ.د.", "source": "دليل_اعضاء_هيئة_التدريس_RAG.docx", "chunk_id": 2, "language": "Mixed", "was_translated": false }, { "text": "القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: azzam.sleit@ju.edu.jo. الاسم: أ.د. باسل محافظة (Basel Mahafzah)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: b.mahafzah@ju.edu.jo. الاسم: أ.د. حازم الحياري (Hazem Al-Hiyari)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: hazemh@ju.edu.jo. الاسم: أ.د.", "source": "دليل_اعضاء_هيئة_التدريس_RAG.docx", "chunk_id": 3, "language": "Mixed", "was_translated": false }, { "text": "ari)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: hazemh@ju.edu.jo. الاسم: أ.د. عماد صلاح (Imad Salah)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: isalah@ju.edu.jo. الاسم: أ.د. محمد الشريدة (Mohammad Al-Shridah)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: mshridah@ju.edu.jo. الاسم: أ.د.", "source": "دليل_اعضاء_هيئة_التدريس_RAG.docx", "chunk_id": 4, "language": "Mixed", "was_translated": false }, { "text": "h)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: mshridah@ju.edu.jo. الاسم: أ.د. محمد القطاونة (Mohammad Al-Qatawneh)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: mohd.qat@ju.edu.jo. الاسم: أ.د. محمد عبيدات (Mohammad Obaidat)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: Obaidat@ju.edu.jo. الاسم: أ.د.", "source": "دليل_اعضاء_هيئة_التدريس_RAG.docx", "chunk_id": 5, "language": "Mixed", "was_translated": false }, { "text": "at)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: Obaidat@ju.edu.jo. الاسم: أ.د. صالح الشرايعة (Saleh Al-Sharaiah)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: ssharaeh@ju.edu.jo. الاسم: أ.د. سامي السرحان (Sami Al-Serhan)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: samiserh@ju.edu.jo. الاسم: أ.د.", "source": "دليل_اعضاء_هيئة_التدريس_RAG.docx", "chunk_id": 6, "language": "Mixed", "was_translated": false }, { "text": "n)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: samiserh@ju.edu.jo. الاسم: أ.د. وسام المبيضين (Wisam Almobaideen)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: almobaideen@inf.ju.edu.jo. قسم نظم المعلومات الحاسوبية (Computer Information Systems - CIS) الاسم: أ.د. محمد بلال الزعبي (Mohammad Bilal Al-Zoubi)، القسم: Computer Information Systems (CIS).", "source": "دليل_اعضاء_هيئة_التدريس_RAG.docx", "chunk_id": 7, "language": "Mixed", "was_translated": false }, { "text": ") الاسم: أ.د. محمد بلال الزعبي (Mohammad Bilal Al-Zoubi)، القسم: Computer Information Systems (CIS). البريد الإلكتروني الخاص به/بها هو: mba@ju.edu.jo. الاسم: أ.د. عمار الحنيطي (Ammar Huneiti)، القسم: Computer Information Systems (CIS). البريد الإلكتروني الخاص به/بها هو: a.huneiti@ju.edu.jo. الاسم: أ.د. بسام حمو (Bassam Hammo)، القسم: Computer Information Systems (CIS).", "source": "دليل_اعضاء_هيئة_التدريس_RAG.docx", "chunk_id": 8, "language": "Mixed", "was_translated": false }, { "text": "a.huneiti@ju.edu.jo. الاسم: أ.د. بسام حمو (Bassam Hammo)، القسم: Computer Information Systems (CIS). البريد الإلكتروني الخاص به/بها هو: b.hammo@ju.edu.jo. الاسم: د. لؤي النمر (Loay Nemer)، القسم: Computer Information Systems (AI). البريد الإلكتروني الخاص به/بها هو: l.nemer@ju.edu.jo. قسم الذكاء الاصطناعي (Artificial Intelligence - AI) الاسم: د.", "source": "دليل_اعضاء_هيئة_التدريس_RAG.docx", "chunk_id": 9, "language": "Mixed", "was_translated": false }, { "text": "ني الخاص به/بها هو: l.nemer@ju.edu.jo. قسم الذكاء الاصطناعي (Artificial Intelligence - AI) الاسم: د. ابراهيم الجراح (Ibrahim Aljarah)، القسم: Artificial Intelligence (AI). البريد الإلكتروني الخاص به/بها هو: i.aljarah@ju.edu.jo. الاسم: د. مجدي صوالحة (Majdi Sawalha)، القسم: Artificial Intelligence (AI). البريد الإلكتروني الخاص به/بها هو: sawalha.majdi@ju.edu.jo. الاسم: أ.د.", "source": "دليل_اعضاء_هيئة_التدريس_RAG.docx", "chunk_id": 10, "language": "Mixed", "was_translated": false }, { "text": "rtificial Intelligence (AI). البريد الإلكتروني الخاص به/بها هو: sawalha.majdi@ju.edu.jo. الاسم: أ.د. نديم عبيد (Nadeem Obeid)، القسم: Artificial Intelligence (AI). البريد الإلكتروني الخاص به/بها هو: obein@ju.edu.jo.", "source": "دليل_اعضاء_هيئة_التدريس_RAG.docx", "chunk_id": 11, "language": "Mixed", "was_translated": false }, { "text": "eem Obeid)، القسم: Artificial Intelligence (AI). البريد الإلكتروني الخاص به/بها هو: obein@ju.edu.jo.", "source": "دليل_اعضاء_هيئة_التدريس_RAG.docx", "chunk_id": 12, "language": "Mixed", "was_translated": false }, { "text": "دليل مكرمة الجيش والجسيم (المصاب العسكري) مقدمة هذا المستند يوضح المعلومات الأساسية المتعلقة بمكرمة الجيش ومكرمة الجسيم (المصاب العسكري)، وآلية التقديم، والفروقات بينهما، إضافة إلى المزايا والشروط المهمة للطلبة. أولاً: مكرمة الجسيم (المصاب العسكري) هي مكرمة مخصصة للطلبة الذين يكون أحد والديهم شهيداً أو مصاباً عسكرياً بنسبة عجز 40% فما فوق. آلية التقديم 1.", "source": "مكرمة_الجيش_والجسيم.docx", "chunk_id": 1, "language": "Arabic", "was_translated": false }, { "text": "مخصصة للطلبة الذين يكون أحد والديهم شهيداً أو مصاباً عسكرياً بنسبة عجز 40% فما فوق. آلية التقديم 1. يقوم الطالب بالتسجيل على نظام الموازي في جامعة حكومية. 2. بعد القبول، يتم دفع الرسوم كاملة بشكل مؤقت (مسترد). 3. تجهيز الوثائق التالية: - إثبات تسجيل أو قبول في الجامعة الحكومية. - وثيقة تثبت حالة الجسيم لأحد الوالدين بنسبة عجز 40% فما فوق. 4. تقديم الوثائق إلى مكتب الثقافة العسكرية. 5.", "source": "مكرمة_الجيش_والجسيم.docx", "chunk_id": 2, "language": "Arabic", "was_translated": false }, { "text": "تثبت حالة الجسيم لأحد الوالدين بنسبة عجز 40% فما فوق. 4. تقديم الوثائق إلى مكتب الثقافة العسكرية. 5. تقوم الثقافة العسكرية بإصدار كتاب رسمي لتحويل الطالب من الموازي إلى مكرمة أبناء الشهداء والمصابين. ثانياً: مكرمة الجيش هي مكرمة يتم التقديم لها من خلال القبول الموحد وتشمل دعماً مالياً للطلبة. آلية التقديم 1. تعبئة طلب القبول الموحد. 2. شراء نموذج طلب مكرمة الجيش من البريد. 3.", "source": "مكرمة_الجيش_والجسيم.docx", "chunk_id": 3, "language": "Arabic", "was_translated": false }, { "text": "مالياً للطلبة. آلية التقديم 1. تعبئة طلب القبول الموحد. 2. شراء نموذج طلب مكرمة الجيش من البريد. 3. تعبئة البيانات واختيار حتى 30 تخصصاً، ويفضل اختيار تخصصات ضمن جامعات قريبة. الفروقات بين مكرمة الجسيم ومكرمة الجيش مكرمة الجسيم - دفع الرسوم للفصل الأول بشكل كامل (مسترد لاحقاً). - لا يوجد مخصص شهري. - بعد انتهاء الدراسة، يتم دفع تكلفة الساعات الزائدة أو المعادة.", "source": "مكرمة_الجيش_والجسيم.docx", "chunk_id": 4, "language": "Arabic", "was_translated": false }, { "text": "(مسترد لاحقاً). - لا يوجد مخصص شهري. - بعد انتهاء الدراسة، يتم دفع تكلفة الساعات الزائدة أو المعادة. مكرمة الجيش - يحصل الطالب على مخصص شهري (20 25 دينار). - بعد انتهاء الدراسة، يتم دفع الساعات الزائدة بسعر التنافس. مزايا مكرمة الجيش يمكن للطالب تقديم اعتراض بعد صدور نتائج القبول، واختيار تخصصات أعلى، وغالباً يتم تعديل التخصص حسب الشواغر.", "source": "مكرمة_الجيش_والجسيم.docx", "chunk_id": 5, "language": "Arabic", "was_translated": false }, { "text": "لطالب تقديم اعتراض بعد صدور نتائج القبول، واختيار تخصصات أعلى، وغالباً يتم تعديل التخصص حسب الشواغر. مزايا مكرمة الجسيم تستمر المكرمة حتى الدراسات العليا (ماجستير ودكتوراه)، وتشمل المتزوجين حتى سن 30 عاماً. ملاحظات هامة قد لا تقبل بعض الجامعات المتزوجين ضمن هذه المكرمات، مثل جامعتي اليرموك والهاشمية (غير مؤكد).", "source": "مكرمة_الجيش_والجسيم.docx", "chunk_id": 6, "language": "Arabic", "was_translated": false }, { "text": "ات هامة قد لا تقبل بعض الجامعات المتزوجين ضمن هذه المكرمات، مثل جامعتي اليرموك والهاشمية (غير مؤكد). معلومات التواصل للاستفسار، يمكن التواصل عبر واتساب على الرقم: 0786222737 نقلاً عن صفحة الأستاذ رائد أبو شهاب.", "source": "مكرمة_الجيش_والجسيم.docx", "chunk_id": 7, "language": "Arabic", "was_translated": false }, { "text": "لتواصل للاستفسار، يمكن التواصل عبر واتساب على الرقم: 0786222737 نقلاً عن صفحة الأستاذ رائد أبو شهاب.", "source": "مكرمة_الجيش_والجسيم.docx", "chunk_id": 8, "language": "Arabic", "was_translated": false }, { "text": "KASIT Midterm Exam Schedule – Second Semester 2025–2026. Covers more than 90 courses across Computer Science, Computer Information Systems, Business Information Technology, Cybersecurity, Artificial Intelligence, and Data Science. Exams run from 11 March 2026 to 6 May 2026. All held in the Information Technology building, University of Jordan main campus, Amman.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 1, "language": "English", "was_translated": false }, { "text": "جدول امتحانات منتصف الفصل الثاني 2025-2026 في كلية كاسيت (كلية الملك عبدالله الثاني لتكنولوجيا المعلومات) يغطي أكثر من 90 مساقاً في تخصصات علم الحاسوب، نظم المعلومات الحاسوبية، تكنولوجيا معلومات الأعمال، الأمن السيبراني، الذكاء الاصطناعي، وعلم البيانات. تمتد الامتحانات من 11 مارس 2026 حتى 6 مايو 2026 في مبنى تكنولوجيا المعلومات في الجامعة الأردنية.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 2, "language": "Arabic", "was_translated": false }, { "text": "Advanced Java Programming using Eclipse (course code 1902214): Midterm exam on Wednesday 11 March 2026 from 11:10 to 14:20 (3 hours). Coordinator: Dr. Irsa Al-Zaghoul. Students: 66. Venue: Faculty of Medicine building, University of Jordan.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 3, "language": "English", "was_translated": false }, { "text": "امتحان مساق البرمجة المتقدمة بجافا باستخدام إيكليبس (رقم المساق 1902214): الأربعاء 11 مارس 2026 من 11:10 حتى 14:20 (3 ساعات). المنسق: د. إرسا الزغول. عدد الطلاب: 66. مكان الامتحان: مبنى كلية الطب، الجامعة الأردنية.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 4, "language": "Arabic", "was_translated": false }, { "text": "Modern Digital Skills (course code 0309103): Midterm exam on Wednesday 1 April 2026 from 09:00 to 13:00 (4 hours). Coordinator: Instructor Lama Rajab. Students: 3,628 — the largest exam in the entire schedule. Venues: laboratories 201, 202, 205, 206, 207, 301, and others.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 5, "language": "English", "was_translated": false }, { "text": "امتحان مساق المهارات الرقمية الحديثة (رقم المساق 0309103): الأربعاء 1 أبريل 2026 من 09:00 حتى 13:00 (4 ساعات). المنسقة: المعلمة لمى رجب. عدد الطلاب: 3628 — أكبر امتحان في الجدول كله. القاعات: 201، 202، 205، 206، 207، 301 وغيرها.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 6, "language": "Arabic", "was_translated": false }, { "text": "Computer Graphics quiz (course code 1901359): Wednesday 1 April 2026 from 13:00 to 13:30 (30 minutes). Coordinator: Prof. Hazem Al-Haiari. Students: 81. Venues: laboratories 104, 105, and 203.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 7, "language": "English", "was_translated": false }, { "text": "قصراب مساق رسوميات الحاسوب (رقم المساق 1901359): الأربعاء 1 أبريل 2026 من 13:00 حتى 13:30 (30 دقيقة). المنسق: أ.د. حازم الهياري. عدد الطلاب: 81. القاعات: 104، 105، 203.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 8, "language": "Arabic", "was_translated": false }, { "text": "Computer Architecture and Assembly Language quiz (course code 1911231): Wednesday 1 April 2026 from 12:30 to 13:00 (30 minutes). Coordinator: Instructor Iyah Saleh Al-Rashed. Students: 102. Venues: laboratories 002, 206, and 207.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 9, "language": "English", "was_translated": false }, { "text": "قصراب مساق معمارية الحاسوب ولغة التجميع (رقم المساق 1911231): الأربعاء 1 أبريل 2026 من 12:30 حتى 13:00 (30 دقيقة). المنسقة: المعلمة إياه صالح الراشد. عدد الطلاب: 102. القاعات: 002، 206، 207.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 10, "language": "Arabic", "was_translated": false }, { "text": "Theory of Algorithms quiz (course code 1901341): Thursday 2 April 2026 from 15:30 to 16:00 (30 minutes). This is a short quiz separate from the main midterm. Coordinator: Prof. Azzam Sleit.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 11, "language": "English", "was_translated": false }, { "text": "قصراب مساق نظرية الخوارزميات (رقم المساق 1901341): الخميس 2 أبريل 2026 من 15:30 حتى 16:00 (30 دقيقة). قصراب منفصل عن الامتحان الرئيسي. المنسق: أ.د. عزام سليط.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 12, "language": "Arabic", "was_translated": false }, { "text": "Social Media (course code 0309101): First exam group on Monday 6 April 2026 from 10:00 to 11:00. Second exam group on Thursday 16 April 2026 from 15:30 to 16:30. Coordinator: Prof. Rizik Al-Sayyed. Total students: 600. Venues include technology laboratories, ST halls, and buildings of Rehabilitation, Agriculture, Arts, Engineering, and Law faculties.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 13, "language": "English", "was_translated": false }, { "text": "مساق التواصل الاجتماعي (رقم المساق 0309101): المجموعة الأولى الاثنين 6 أبريل 2026 من 10:00 حتى 11:00، المجموعة الثانية الخميس 16 أبريل 2026 من 15:30 حتى 16:30. المنسق: أ.د. رزيق السيد. عدد الطلاب: 600. القاعات: مختبرات التكنولوجيا وقاعات ST وكليات إعادة التأهيل والزراعة والآداب والهندسة والحقوق.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 14, "language": "Arabic", "was_translated": false }, { "text": "Computer Networks (course code 1901363): Midterm exam on Tuesday 7 April 2026 from 14:00 to 15:00 (1 hour). Coordinator: Instructor Iyah Saleh Al-Rashed. Students: 291. Venues: laboratories 102, 201, 202, 205, 206, 207, 301, and 302.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 15, "language": "English", "was_translated": false }, { "text": "امتحان مساق شبكات الحاسوب (رقم المساق 1901363): الثلاثاء 7 أبريل 2026 من 14:00 حتى 15:00 (ساعة واحدة). المنسقة: المعلمة إياه صالح الراشد. عدد الطلاب: 291. القاعات: 102، 201، 202، 205، 206، 207، 301، 302.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 16, "language": "Arabic", "was_translated": false }, { "text": "Theory of Algorithms main midterm (course code 1901341): Thursday 9 April 2026 from 15:30 to 16:30 (1 hour). Coordinator: Prof. Azzam Sleit. Students: 330. Venues: laboratories 102, 201, 202, 205, 206, 207, 301, 302, and 104.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 17, "language": "English", "was_translated": false }, { "text": "امتحان منتصف الفصل لمساق نظرية الخوارزميات (رقم المساق 1901341): الخميس 9 أبريل 2026 من 15:30 حتى 16:30 (ساعة واحدة). المنسق: أ.د. عزام سليط. عدد الطلاب: 330. القاعات: 102، 201، 202، 205، 206، 207، 301، 302، 104.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 18, "language": "Arabic", "was_translated": false }, { "text": "Computer Architecture and Assembly Language main midterm (course code 1911231): Thursday 9 April 2026 from 14:00 to 15:00 (1 hour). Coordinator: Instructor Nasir Al-Din. Students: 81. Venues: laboratories 002, 206, and 207.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 19, "language": "English", "was_translated": false }, { "text": "امتحان منتصف الفصل لمساق معمارية الحاسوب ولغة التجميع (رقم المساق 1911231): الخميس 9 أبريل 2026 من 14:00 حتى 15:00. المنسق: ناصر الدين. عدد الطلاب: 81. القاعات: 002، 206، 207.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 20, "language": "Arabic", "was_translated": false }, { "text": "Discrete Mathematics (course code 1901101): Midterm on Saturday 11 April 2026 from 09:00 to 10:00 (1 hour). Coordinator: Instructor Nabil Al-Assaf. Students: 212. Venues: laboratories 101, 102, 103, 202, 203, 204, 205, 206, 207, 301, 302, and 303.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 21, "language": "English", "was_translated": false }, { "text": "امتحان مساق الرياضيات المتقطعة (رقم المساق 1901101): السبت 11 أبريل 2026 من 09:00 حتى 10:00. المنسق: المعلم نبيل العساف. عدد الطلاب: 212. القاعات: 101، 102، 103، 202، 203، 204، 205، 206، 207، 301، 302، 303.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 22, "language": "Arabic", "was_translated": false }, { "text": "Digital Forensics Evidence (course code 1911483): Midterm on Saturday 11 April 2026 from 09:00 to 10:00 (1 hour). Coordinator: Dr. Ahmad Al-Houitat. Students: 62. Venues: laboratories 104, 105, and 203.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 23, "language": "English", "was_translated": false }, { "text": "امتحان مساق أدلة الجنائيات الرقمية (رقم المساق 1911483): السبت 11 أبريل 2026 من 09:00 حتى 10:00. المنسق: د. أحمد الحويطات. عدد الطلاب: 62. القاعات: 104، 105، 203.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 24, "language": "Arabic", "was_translated": false }, { "text": "Data Structures (course code 1901242): Midterm on Saturday 11 April 2026 from 09:00 to 10:00 (1 hour). Coordinator: Instructor Nabil Al-Assaf. Students: 212. Venues: ST halls A through H and other faculty buildings across campus.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 25, "language": "English", "was_translated": false }, { "text": "امتحان مساق هياكل البيانات (رقم المساق 1901242): السبت 11 أبريل 2026 من 09:00 حتى 10:00. المنسق: المعلم نبيل العساف. عدد الطلاب: 212. القاعات: قاعات ST من A إلى H وقاعات في كليات أخرى.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 26, "language": "Arabic", "was_translated": false }, { "text": "Statistical Packages (course code 1904255): Tuesday 14 April 2026 from 08:30 to 09:30 (1 hour). Coordinator: Dr. Bishar Al-Shboul. Students: 15. Venue: laboratory ط/1ق5.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 27, "language": "English", "was_translated": false }, { "text": "امتحان مساق الحزم الإحصائية (رقم المساق 1904255): الثلاثاء 14 أبريل 2026 من 08:30 حتى 09:30. المنسق: د. بشار الشبول. عدد الطلاب: 15. القاعة: ط/1ق5.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 28, "language": "Arabic", "was_translated": false }, { "text": "Programming for Cybersecurity (course code 1911211): Tuesday 14 April 2026 from 09:30 to 10:30 (1 hour). Coordinator: Dr. Malik Al-Issa. Students: 23. Venue: laboratory 104.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 29, "language": "English", "was_translated": false }, { "text": "امتحان مساق البرمجة للأمن السيبراني (رقم المساق 1911211): الثلاثاء 14 أبريل 2026 من 09:30 حتى 10:30. المنسق: د. مالك العيسى. عدد الطلاب: 23. القاعة: 104.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 30, "language": "Arabic", "was_translated": false }, { "text": "Operations Research (course code 1904341): Tuesday 14 April 2026 from 09:30 to 10:30 (1 hour). Coordinator: Prof. Hamed Al-Badour. Students: 19. Venue: laboratory 303.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 31, "language": "English", "was_translated": false }, { "text": "امتحان مساق بحث العمليات (رقم المساق 1904341): الثلاثاء 14 أبريل 2026 من 09:30 حتى 10:30. المنسق: أ.د. حامد البدور. عدد الطلاب: 19. القاعة: 303.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 32, "language": "Arabic", "was_translated": false }, { "text": "Numerical Analysis (course code 1905120): Tuesday 14 April 2026 from 10:30 to 11:30 (1 hour). Coordinator: Prof. Shirbina. Students: 73. Venues: laboratories 104, 105, and 203.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 33, "language": "English", "was_translated": false }, { "text": "امتحان مساق التحليل العددي (رقم المساق 1905120): الثلاثاء 14 أبريل 2026 من 10:30 حتى 11:30. المنسق: أ.د. شيربينا. عدد الطلاب: 73. القاعات: 104، 105، 203.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 34, "language": "Arabic", "was_translated": false }, { "text": "Systems Programming and Compiler Construction (course code 1901476): Wednesday 15 April 2026 from 09:00 to 10:00 (1 hour). Students: 56. Venues: laboratory ط/1ق3, laboratories 104, 105, and 203.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 35, "language": "English", "was_translated": false }, { "text": "امتحان مساق برمجة الأنظمة وبناء المحولات (رقم المساق 1901476): الأربعاء 15 أبريل 2026 من 09:00 حتى 10:00. عدد الطلاب: 56. القاعات: ط/1ق3، 104، 105، 203.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 36, "language": "Arabic", "was_translated": false }, { "text": "Flexible Data Representation (course code 1915441): Wednesday 15 April 2026 from 09:00 to 10:00 (1 hour). Coordinator: Prof. Omar Al-Kadi. Students: 32. Venues: laboratories 304 and 001.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 37, "language": "English", "was_translated": false }, { "text": "امتحان مساق التمثيل المرن للبيانات (رقم المساق 1915441): الأربعاء 15 أبريل 2026 من 09:00 حتى 10:00. المنسق: أ.د. عمر القاضي. عدد الطلاب: 32. القاعات: 304، 001.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 38, "language": "Arabic", "was_translated": false }, { "text": "Computer Ethics (course code 1902478): Wednesday 15 April 2026 from 10:00 to 11:00 (1 hour). Coordinator: Prof. Hamed Al-Badour. Students: 48. Venues: laboratories 002, 206, and 207.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 39, "language": "English", "was_translated": false }, { "text": "امتحان مساق أخلاقيات الحاسوب (رقم المساق 1902478): الأربعاء 15 أبريل 2026 من 10:00 حتى 11:00. المنسق: أ.د. حامد البدور. عدد الطلاب: 48. القاعات: 002، 206، 207.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 40, "language": "Arabic", "was_translated": false }, { "text": "Advanced Programming in Special Languages (course code 1901212): Wednesday 15 April 2026 from 11:30 to 14:30 (3 hours). Coordinator: Instructor Iyah Saleh Al-Rashed. Students: 102.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 41, "language": "English", "was_translated": false }, { "text": "امتحان مساق البرمجة المتقدمة بلغات خاصة (رقم المساق 1901212): الأربعاء 15 أبريل 2026 من 11:30 حتى 14:30 (3 ساعات). المنسقة: المعلمة إياه صالح الراشد. عدد الطلاب: 102.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 42, "language": "Arabic", "was_translated": false }, { "text": "Fundamentals of Data Science (course code 1915121): Wednesday 15 April 2026 from 13:00 to 14:00 (1 hour). Coordinator: Dr. Al-Roudhan. Students: 44. Venues: laboratories 002, 206, and 207.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 43, "language": "English", "was_translated": false }, { "text": "امتحان مساق أساسيات علم البيانات (رقم المساق 1915121): الأربعاء 15 أبريل 2026 من 13:00 حتى 14:00. المنسق: د. الرودان. عدد الطلاب: 44. القاعات: 002، 206، 207.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 44, "language": "Arabic", "was_translated": false }, { "text": "Functional Programming (course code 1904345): Wednesday 15 April 2026 from 14:30 to 15:30 (1 hour). Coordinator: Dr. Al-Roudhan. Students: 48. Venue: laboratory 303.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 45, "language": "English", "was_translated": false }, { "text": "امتحان مساق البرمجة الوظيفية (رقم المساق 1904345): الأربعاء 15 أبريل 2026 من 14:30 حتى 15:30. المنسق: د. الرودان. عدد الطلاب: 48. القاعة: 303.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 46, "language": "Arabic", "was_translated": false }, { "text": "Special Topics (course code 1904485): Wednesday 15 April 2026 from 14:30 to 15:30 (1 hour). Coordinator: Dr. Youssef Sinjalawi. Students: 35. Venues: laboratories 303, 104, 105, ط/2ق3, and ط/2ق2.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 47, "language": "English", "was_translated": false }, { "text": "امتحان مساق موضوعات خاصة (رقم المساق 1904485): الأربعاء 15 أبريل 2026 من 14:30 حتى 15:30. المنسق: د. يوسف سنجلاوي. عدد الطلاب: 35. القاعات: 303، 104، 105، ط/2ق3، ط/2ق2.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 48, "language": "Arabic", "was_translated": false }, { "text": "Database Technologies and Applications (course code 1902324): Thursday 16 April 2026 from 10:30 to 11:30 (1 hour). Coordinator: Dr. Reem Al-Fayez. Students: 62. Venues: laboratories 104, 105, and 203.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 49, "language": "English", "was_translated": false }, { "text": "امتحان مساق تقنيات وتطبيقات قواعد البيانات (رقم المساق 1902324): الخميس 16 أبريل 2026 من 10:30 حتى 11:30. المنسقة: د. ريم الفايز. عدد الطلاب: 62. القاعات: 104، 105، 203.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 50, "language": "Arabic", "was_translated": false }, { "text": "Mobile Programming (course code 1904211): Thursday 16 April 2026 from 10:30 to 11:30 (1 hour). Coordinator: Dr. Yarfas Mukhadamah. Students: 22. Venues: laboratories 303, 001, 201, and 301.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 51, "language": "English", "was_translated": false }, { "text": "امتحان مساق البرمجة المتنقلة (رقم المساق 1904211): الخميس 16 أبريل 2026 من 10:30 حتى 11:30. المنسق: د. يرفس مخادمة. عدد الطلاب: 22. القاعات: 303، 001، 201، 301.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 52, "language": "Arabic", "was_translated": false }, { "text": "Introduction to Artificial Intelligence (course code 1901351): Thursday 16 April 2026 from 10:30 to 11:30 (1 hour). Coordinator: Dr. Al-Roudhan. Students: 82. Venues: laboratories 001, 103, 105, 203, and 302.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 53, "language": "English", "was_translated": false }, { "text": "امتحان مساق مقدمة في الذكاء الاصطناعي (رقم المساق 1901351): الخميس 16 أبريل 2026 من 10:30 حتى 11:30. المنسق: د. الرودان. عدد الطلاب: 82. القاعات: 001، 103، 105، 203، 302.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 54, "language": "Arabic", "was_translated": false }, { "text": "Security Risk Management and Ethics (course code 1911221): Thursday 16 April 2026 from 11:00 to 12:00 (1 hour). Coordinator: Dr. Mohammad Al-Ma'ayah. Students: 57. Venues: laboratories 101 and 103.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 55, "language": "English", "was_translated": false }, { "text": "امتحان مساق إدارة مخاطر الأمن والأخلاقيات (رقم المساق 1911221): الخميس 16 أبريل 2026 من 11:00 حتى 12:00. المنسق: د. محمد المعايعة. عدد الطلاب: 57. القاعات: 101، 103.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 56, "language": "Arabic", "was_translated": false }, { "text": "Theory of Computation (course code 1901241): Thursday 16 April 2026 from 12:00 to 13:00 (1 hour). Coordinator: Prof. Abdel-Latif Abu Dalhoum. Students: 81. Venues: laboratories 102, 201, 202, 205, 301, and 302.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 57, "language": "English", "was_translated": false }, { "text": "امتحان مساق نظرية الحوسبة (رقم المساق 1901241): الخميس 16 أبريل 2026 من 12:00 حتى 13:00. المنسق: أ.د. عبد اللطيف أبو دلهوم. عدد الطلاب: 81. القاعات: 102، 201، 202، 205، 301، 302.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 58, "language": "Arabic", "was_translated": false }, { "text": "Internet of Things (course code 1905430): Saturday 18 April 2026 from 10:00 to 11:00 (1 hour). Coordinator: Dr. Musa Al-Akhras. Students: 74. Venues: laboratories 001, 103, 105, 203, and 302.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 59, "language": "English", "was_translated": false }, { "text": "امتحان مساق إنترنت الأشياء (رقم المساق 1905430): السبت 18 أبريل 2026 من 10:00 حتى 11:00. المنسق: د. موسى الأخرس. عدد الطلاب: 74. القاعات: 001، 103، 105، 203، 302.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 60, "language": "Arabic", "was_translated": false }, { "text": "Digital Image Processing (course code 1902454): Saturday 18 April 2026 from 13:00 to 14:00 (1 hour). Coordinator: Dr. Areeb Abu Al-Ghanam. Students: 59. Venues: laboratories 001, 002, 101, 301, and 303.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 61, "language": "English", "was_translated": false }, { "text": "امتحان مساق معالجة الصور الرقمية (رقم المساق 1902454): السبت 18 أبريل 2026 من 13:00 حتى 14:00. المنسق: د. أريب أبو الغنم. عدد الطلاب: 59. القاعات: 001، 002، 101، 301، 303.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 62, "language": "Arabic", "was_translated": false }, { "text": "Computer Vision (course code 1905322): Sunday 19 April 2026 from 10:30 to 11:30 (1 hour). Coordinator: Dr. Huda Karajeh. Students: 86. Venues: laboratories 001, 002, 101, 103, and 105.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 63, "language": "English", "was_translated": false }, { "text": "امتحان مساق رؤية الحاسوب (رقم المساق 1905322): الأحد 19 أبريل 2026 من 10:30 حتى 11:30. المنسقة: د. هدى كراجة. عدد الطلاب: 86. القاعات: 001، 002، 101، 103، 105.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 64, "language": "Arabic", "was_translated": false }, { "text": "Computer Graphics main midterm (course code 1901359): Sunday 19 April 2026 from 11:30 to 12:30 (1 hour). Coordinator: Prof. Hazem Al-Haiari. Venues: laboratories 202, 301, and 303.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 65, "language": "English", "was_translated": false }, { "text": "امتحان منتصف الفصل الرئيسي لمساق رسوميات الحاسوب (رقم المساق 1901359): الأحد 19 أبريل 2026 من 11:30 حتى 12:30. المنسق: أ.د. حازم الهياري. القاعات: 202، 301، 303.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 66, "language": "Arabic", "was_translated": false }, { "text": "Ontology and Knowledge Graphs (course code 1905321): Sunday 19 April 2026 from 12:30 to 13:30 (1 hour). Coordinator: Dr. Marwan Al-Taweel. Students: 29. Venues: laboratories 103 and 101.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 67, "language": "English", "was_translated": false }, { "text": "امتحان مساق الأنطولوجيا وبيانات المعرفة (رقم المساق 1905321): الأحد 19 أبريل 2026 من 12:30 حتى 13:30. المنسق: د. مروان الطويل. عدد الطلاب: 29. القاعات: 103، 101.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 68, "language": "Arabic", "was_translated": false }, { "text": "Advanced Java Programming second session (course code 1902214): Sunday 19 April 2026 from 13:30 to 14:30 (1 hour). Coordinator: Dr. Irsa Al-Zaghoul. Venues: laboratories 104, 105, 203, and 302.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 69, "language": "English", "was_translated": false }, { "text": "امتحان مساق البرمجة المتقدمة بجافا الجلسة الثانية (رقم المساق 1902214): الأحد 19 أبريل 2026 من 13:30 حتى 14:30. المنسقة: د. إرسا الزغول. القاعات: 104، 105، 203، 302.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 70, "language": "Arabic", "was_translated": false }, { "text": "Document Analysis and Representation (course code 1904484): Sunday 19 April 2026 from 14:30 to 15:30 (1 hour). Coordinator: Dr. Bishar Al-Shboul. Students: 41. Venue: laboratory ط/3ق3.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 71, "language": "English", "was_translated": false }, { "text": "امتحان مساق تحليل الوثائق وتمثيلها (رقم المساق 1904484): الأحد 19 أبريل 2026 من 14:30 حتى 15:30. المنسق: د. بشار الشبول. عدد الطلاب: 41. القاعة: ط/3ق3.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 72, "language": "Arabic", "was_translated": false }, { "text": "Cryptography (course code 1911241): Sunday 19 April 2026 from 14:30 to 15:30 (1 hour). Coordinator: Dr. Areeb Abu Al-Ghanam. Students: 56. Venue: laboratory ط/1ق3.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 73, "language": "English", "was_translated": false }, { "text": "امتحان مساق التشفير (رقم المساق 1911241): الأحد 19 أبريل 2026 من 14:30 حتى 15:30. المنسق: د. أريب أبو الغنم. عدد الطلاب: 56. القاعة: ط/1ق3.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 74, "language": "Arabic", "was_translated": false }, { "text": "Artificial Intelligence (course code 1905320): Sunday 19 April 2026. Coordinator: Dr. Naslima. Students: 246. Venues: laboratories 001, 002, 103, 105, 203, 206, and 302.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 75, "language": "English", "was_translated": false }, { "text": "امتحان مساق الذكاء الاصطناعي (رقم المساق 1905320): الأحد 19 أبريل 2026. المنسقة: د. نسليمة. عدد الطلاب: 246. القاعات: 001، 002، 103، 105، 203، 206، 302.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 76, "language": "Arabic", "was_translated": false }, { "text": "Intelligent Robotics (course code 1905431): Monday 20 April 2026 from 10:00 to 11:00 (1 hour). Coordinator: Dr. Musa Al-Yaman. Students: 36. Venue: laboratory ط/1ق5.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 77, "language": "English", "was_translated": false }, { "text": "امتحان مساق الروبوتات الذكية (رقم المساق 1905431): الاثنين 20 أبريل 2026 من 10:00 حتى 11:00. المنسق: د. موسى اليامان. عدد الطلاب: 36. القاعة: ط/1ق5.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 78, "language": "Arabic", "was_translated": false }, { "text": "Parallel and Distributed Systems (course code 1901468): Monday 20 April 2026 from 10:00 to 11:00 (1 hour). Coordinator: Instructor Rashin. Students: 42. Venue: laboratory ط/1ق3.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 79, "language": "English", "was_translated": false }, { "text": "امتحان مساق الأنظمة المتوازية والموزعة (رقم المساق 1901468): الاثنين 20 أبريل 2026 من 10:00 حتى 11:00. المنسق: راشين. عدد الطلاب: 42. القاعة: ط/1ق3.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 80, "language": "Arabic", "was_translated": false }, { "text": "Data Engineering and Analytics (course code 1915231): Monday 20 April 2026 from 13:00 to 14:00 (1 hour). Coordinator: Dr. Huthayfah Abu Hamayda. Students: 41.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 81, "language": "English", "was_translated": false }, { "text": "امتحان مساق هندسة البيانات والتحليلات (رقم المساق 1915231): الاثنين 20 أبريل 2026 من 13:00 حتى 14:00. المنسق: د. حذيفة أبو حمايدة. عدد الطلاب: 41.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 82, "language": "Arabic", "was_translated": false }, { "text": "Security Intelligence (course code 1911489): Tuesday 21 April 2026 from 12:30 to 14:00 (90 minutes). Coordinator: Prof. Omar Al-Kadi. Students: 40. Venues: laboratories 103 and 104.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 83, "language": "English", "was_translated": false }, { "text": "امتحان مساق استخبارات الأمن (رقم المساق 1911489): الثلاثاء 21 أبريل 2026 من 12:30 حتى 14:00 (90 دقيقة). المنسق: أ.د. عمر القاضي. عدد الطلاب: 40. القاعات: 103، 104.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 84, "language": "Arabic", "was_translated": false }, { "text": "IT Policy (course code 1904101): Tuesday 21 April 2026 from 14:00 to 15:00 (1 hour). Coordinator: Malik Al-Hassan. Students: 144. Venues: laboratories 001, 002, 101, 301, and 303.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 85, "language": "English", "was_translated": false }, { "text": "امتحان مساق سياسة تكنولوجيا المعلومات (رقم المساق 1904101): الثلاثاء 21 أبريل 2026 من 14:00 حتى 15:00. المنسق: مالك الحسن. عدد الطلاب: 144. القاعات: 001، 002، 101، 301، 303.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 86, "language": "Arabic", "was_translated": false }, { "text": "AI Applications (course code 0309104): Wednesday 22 April 2026 from 10:00 to 11:00 (1 hour). Coordinator: Instructor Walaa Taqtish. Students: 232. Venues: laboratories 101, 102, 103, 201, 202, 302, and 303.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 87, "language": "English", "was_translated": false }, { "text": "امتحان مساق تطبيقات الذكاء الاصطناعي (رقم المساق 0309104): الأربعاء 22 أبريل 2026 من 10:00 حتى 11:00. المنسقة: المعلمة ولاء تقطيش. عدد الطلاب: 232. القاعات: 101، 102، 103، 201، 202، 302، 303.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 88, "language": "Arabic", "was_translated": false }, { "text": "Web Technologies and E-Applications (course code 1904355): Wednesday 22 April 2026 from 10:00 to 11:00 (1 hour). Coordinator: Dr. Dana Al-Qadah. Students: 26. Venue: laboratory 304.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 89, "language": "English", "was_translated": false }, { "text": "امتحان مساق تقنيات الويب والتطبيقات الإلكترونية (رقم المساق 1904355): الأربعاء 22 أبريل 2026 من 10:00 حتى 11:00. المنسقة: د. دانا القضاة. عدد الطلاب: 26. القاعة: 304.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 90, "language": "Arabic", "was_translated": false }, { "text": "Pattern Analysis and Information (course code 1915371): Wednesday 22 April 2026 from 10:00 to 11:00 (1 hour). Coordinator: Dr. Maher Al-Shatma. Students: 40. Venue: laboratory ط/2ق3.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 91, "language": "English", "was_translated": false }, { "text": "امتحان مساق تحليل الأنماط والمعلومات (رقم المساق 1915371): الأربعاء 22 أبريل 2026 من 10:00 حتى 11:00. المنسق: د. ماهر الشاطمة. عدد الطلاب: 40. القاعة: ط/2ق3.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 92, "language": "Arabic", "was_translated": false }, { "text": "Database Management Systems (course code 1902224): Wednesday 22 April 2026 from 11:30 to 12:30 (1 hour). Coordinator: Dr. Maher Al-Shatma. Students: 246. Venues: multiple floors of the technology building.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 93, "language": "English", "was_translated": false }, { "text": "امتحان مساق نظم إدارة قواعد البيانات (رقم المساق 1902224): الأربعاء 22 أبريل 2026 من 11:30 حتى 12:30. المنسق: د. ماهر الشاطمة. عدد الطلاب: 246. القاعات: طوابق متعددة من مبنى التكنولوجيا.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 94, "language": "Arabic", "was_translated": false }, { "text": "Computer Organization (course code 1911461): Wednesday 22 April 2026 from 11:30 to 12:30 (1 hour). Coordinator: Dr. Malik Al-Issa. Students: 64. Venues: laboratories 101, 103, 202, 203, and 204.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 95, "language": "English", "was_translated": false }, { "text": "امتحان مساق تنظيم الحاسوب (رقم المساق 1911461): الأربعاء 22 أبريل 2026 من 11:30 حتى 12:30. المنسق: د. مالك العيسى. عدد الطلاب: 64. القاعات: 101، 103، 202، 203، 204.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 96, "language": "Arabic", "was_translated": false }, { "text": "Computational Problems and Techniques (course code 1901444): Wednesday 22 April 2026 from 13:00 to 14:00 (1 hour). Coordinator: Dr. Batsama Al-Shuqrat. Students: 43. Venue: laboratory ط/2ق1.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 97, "language": "English", "was_translated": false }, { "text": "امتحان مساق مسائل وتقنيات حاسوبية (رقم المساق 1901444): الأربعاء 22 أبريل 2026 من 13:00 حتى 14:00. المنسقة: د. بتسامة الشقرات. عدد الطلاب: 43. القاعة: ط/2ق1.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 98, "language": "Arabic", "was_translated": false }, { "text": "Introductory Programming (course code 1941102): Wednesday 22 April 2026 from 13:30 to 15:30 (2 hours). Coordinator: Instructor Tazina Al-Qabbaj. Students: 247.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 99, "language": "English", "was_translated": false }, { "text": "امتحان مساق البرمجة التمهيدية (رقم المساق 1941102): الأربعاء 22 أبريل 2026 من 13:30 حتى 15:30 (ساعتان). المنسقة: المعلمة تازينا القباج. عدد الطلاب: 247.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 100, "language": "Arabic", "was_translated": false }, { "text": "Cyber-Physical Security Systems CPSS (course code 1911431): Wednesday 22 April 2026 from 14:30 to 15:30 (1 hour). Coordinator: Dr. Mohammad Al-Ma'ayah. Students: 33. Venue: laboratory 104.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 101, "language": "English", "was_translated": false }, { "text": "امتحان مساق أنظمة الأمن السيبراني الفيزيائية CPSS (رقم المساق 1911431): الأربعاء 22 أبريل 2026 من 14:30 حتى 15:30. المنسق: د. محمد المعايعة. عدد الطلاب: 33. القاعة: 104.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 102, "language": "Arabic", "was_translated": false }, { "text": "Total Quality Management TQM (course code 1904481): Wednesday 22 April 2026 from 14:30 to 15:30 (1 hour). Coordinator: Dr. Yazan Al-Shmayleh. Students: 22. Venue: laboratory 302.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 103, "language": "English", "was_translated": false }, { "text": "امتحان مساق إدارة الجودة الشاملة TQM (رقم المساق 1904481): الأربعاء 22 أبريل 2026 من 14:30 حتى 15:30. المنسق: د. يزن الشميلة. عدد الطلاب: 22. القاعة: 302.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 104, "language": "Arabic", "was_translated": false }, { "text": "Object-Oriented Programming OOP (course code 1902110): Thursday 23 April 2026 from 09:00 to 13:00 (4 hours). Coordinator: Dr. Irsa Al-Zaghoul. Students: 549 — second largest exam in the schedule. Venues: more than 15 laboratories in the technology building plus the laboratories center.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 105, "language": "English", "was_translated": false }, { "text": "امتحان مساق البرمجة كائنية التوجه OOP (رقم المساق 1902110): الخميس 23 أبريل 2026 من 09:00 حتى 13:00 (4 ساعات). المنسقة: د. إرسا الزغول. عدد الطلاب: 549 — ثاني أكبر امتحان في الجدول. القاعات: أكثر من 15 مختبراً في مبنى التكنولوجيا ومركز المختبرات.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 106, "language": "Arabic", "was_translated": false }, { "text": "Computer Basics (course code 0309099): Thursday 23 April 2026 from 09:00 to 13:00 (4 hours). Coordinator: Instructor Buqdawi. Students: 1,922 — largest single exam in the schedule. Venue: the laboratories center.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 107, "language": "English", "was_translated": false }, { "text": "امتحان مساق أساسيات الحاسوب (رقم المساق 0309099): الخميس 23 أبريل 2026 من 09:00 حتى 13:00 (4 ساعات). المنسق: المعلم بقداوي. عدد الطلاب: 1922 — أكبر امتحان فردي في الجدول. مكان الامتحان: مركز المختبرات.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 108, "language": "Arabic", "was_translated": false }, { "text": "Thursday 23 April 2026 afternoon exams from 13:30 to 14:30: Databases 1902323 (Prof. Sadam Abu Mahmoum, 41 students, lab 206); Multimedia 1902351 (Dr. Al-Khatib, 46 students, lab 104); Knowledge Management Systems 1904323 (Malik Al-Hassan, 27 students, lab 102); ERP Enterprise Resource Planning 1904351 (Dr. Hadanah Al-Qadah, 34 students, lab ط/3ق3); E-Business 1904442 (Dr. Youssef Sinjalawi, 40 students, lab ط/2ق2).", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 109, "language": "English", "was_translated": false }, { "text": "امتحانات الخميس 23 أبريل 2026 من 13:30 حتى 14:30: قواعد البيانات 1902323 (أ.د. صدام أبو محموم، 41 طالباً، مختبر 206)؛ الوسائط المتعددة 1902351 (د. الخطيب، 46 طالباً، مختبر 104)؛ نظم إدارة المعرفة 1904323 (مالك الحسن، 27 طالباً، مختبر 102)؛ تخطيط موارد المؤسسة ERP 1904351 (د. هدنة القضاة، 34 طالباً، مختبر ط/3ق3)؛ التجارة الإلكترونية 1904442 (د. يوسف سنجلاوي، 40 طالباً، مختبر ط/2ق2).", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 110, "language": "Arabic", "was_translated": false }, { "text": "Thursday 23 April 2026 afternoon exams from 13:30: Knowledge Representation and Reasoning 1905221 (Dr. Huthayfah Abu Hammad, 35 students); Malware Analysis and Reverse Engineering 1911481 (Dr. Mazen Al-Wadi, 37 students, labs 002, 105, and 206); Information Security and Privacy 1911322 (Instructor Tazina Al-Qabbaj, 240 students, 2-hour exam until 15:30, labs 101, 102, 103, 105, 202, 203, 204, 206); Big Data 1915431 (Dr. Mohammad Al-Rashed, 45 students, labs 104 and 105).", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 111, "language": "English", "was_translated": false }, { "text": "امتحانات الخميس 23 أبريل 2026 بعد الظهر: تمثيل المعرفة والاستدلال 1905221 (د. حذيفة أبو حماد، 35 طالباً)؛ تحليل البرمجيات الخبيثة والهندسة العكسية 1911481 (د. مازن الوادي، 37 طالباً)؛ أمن المعلومات والخصوصية 1911322 (المعلمة تازينا القباج، 240 طالباً، ساعتان من 13:30 حتى 15:30)؛ البيانات الضخمة 1915431 (د. محمد الراشد، 45 طالباً، مختبرات 104 و105).", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 112, "language": "Arabic", "was_translated": false }, { "text": "Python Programming and Problem Solving (course code 1915111): Saturday 25 April 2026 from 12:30 to 13:30 (1 hour). Coordinator: Dr. Run Ubaydaat. Students: 271. Venues: laboratories 002, 101, 102, 201, and 206.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 113, "language": "English", "was_translated": false }, { "text": "امتحان مساق برمجة بايثون وحل المسائل (رقم المساق 1915111): السبت 25 أبريل 2026 من 12:30 حتى 13:30. المنسقة: د. رن عبيدات. عدد الطلاب: 271. القاعات: 002، 101، 102، 201، 206.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 114, "language": "Arabic", "was_translated": false }, { "text": "Applied Statistics (course code 1915251): Sunday 26 April 2026 from 08:30 to 09:30 (1 hour). Coordinator: Dr. Louay Al-Namir. Students: 32. Venues: laboratories 104, 105, and 203.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 115, "language": "English", "was_translated": false }, { "text": "امتحان مساق الإحصاء التطبيقي (رقم المساق 1915251): الأحد 26 أبريل 2026 من 08:30 حتى 09:30. المنسق: د. لؤي النمر. عدد الطلاب: 32. القاعات: 104، 105، 203.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 116, "language": "Arabic", "was_translated": false }, { "text": "Entrepreneurship and Innovation (course code 1902383): Sunday 26 April 2026 from 09:00 to 10:00 (1 hour). Coordinator: Dr. Reem Al-Fayez. Students: 62. Venues: laboratories 101, 103, and 104.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 117, "language": "English", "was_translated": false }, { "text": "امتحان مساق ريادة الأعمال والابتكار (رقم المساق 1902383): الأحد 26 أبريل 2026 من 09:00 حتى 10:00. المنسقة: د. ريم الفايز. عدد الطلاب: 62. القاعات: 101، 103، 104.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 118, "language": "Arabic", "was_translated": false }, { "text": "IT Operations Management (course code 1904472): Sunday 26 April 2026 from 10:00 to 11:00 (1 hour). Coordinator: Dr. Mohammad Al-Rashed. Students: 55. Venues: laboratories 202, 206, and 302.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 119, "language": "English", "was_translated": false }, { "text": "امتحان مساق إدارة عمليات تكنولوجيا المعلومات (رقم المساق 1904472): الأحد 26 أبريل 2026 من 10:00 حتى 11:00. المنسق: د. محمد الراشد. عدد الطلاب: 55. القاعات: 202، 206، 302.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 120, "language": "Arabic", "was_translated": false }, { "text": "Intelligent Business Systems (course code 1904371): Sunday 26 April 2026 from 14:30 to 15:30 (1 hour). Coordinator: Dr. Hadanah Al-Qadah. Students: 28.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 121, "language": "English", "was_translated": false }, { "text": "امتحان مساق نظم الأعمال الذكية (رقم المساق 1904371): الأحد 26 أبريل 2026 من 14:30 حتى 15:30. المنسقة: د. هدنة القضاة. عدد الطلاب: 28.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 122, "language": "Arabic", "was_translated": false }, { "text": "Management Information Systems MIS (course code 1904232): Sunday 26 April 2026 from 14:30 to 15:30 (1 hour). Coordinator: Dr. Yazan Al-Shmayleh. Students: 24. Venue: laboratory 301.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 123, "language": "English", "was_translated": false }, { "text": "امتحان مساق نظم المعلومات الإدارية MIS (رقم المساق 1904232): الأحد 26 أبريل 2026 من 14:30 حتى 15:30. المنسق: د. يزن الشميلة. عدد الطلاب: 24. القاعة: 301.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 124, "language": "Arabic", "was_translated": false }, { "text": "Geographic Information Systems GIS (course code 1902459): Sunday 26 April 2026 from 15:30 to 16:30 (1 hour). Coordinator: Instructor Al-Mohammad Al-Za'arnbel. Students: 41. Venues: laboratories 101, 103, and 003.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 125, "language": "English", "was_translated": false }, { "text": "امتحان مساق نظم المعلومات الجغرافية GIS (رقم المساق 1902459): الأحد 26 أبريل 2026 من 15:30 حتى 16:30. المنسق: المعلم محمد الزعرنبل. عدد الطلاب: 41. القاعات: 101، 103، 003.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 126, "language": "Arabic", "was_translated": false }, { "text": "Computer Documentation Ethics (course code 1902203): Sunday 27 April 2026 from 11:30 to 12:30 (1 hour). Coordinator: Dr. Huda Karajeh. Students: 54. Venues: laboratories 101 and 103.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 127, "language": "English", "was_translated": false }, { "text": "امتحان مساق أخلاقيات توثيق الحاسوب (رقم المساق 1902203): الأحد 27 أبريل 2026 من 11:30 حتى 12:30. المنسقة: د. هدى كراجة. عدد الطلاب: 54. القاعات: 101، 103.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 128, "language": "Arabic", "was_translated": false }, { "text": "Web Application Security (course code 1911351): Sunday 27 April 2026 from 14:00 to 15:00 (1 hour). Coordinator: Dr. Mohammad Al-Ma'ayah. Students: 67. Venues: laboratories 202, 302, and 303.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 129, "language": "English", "was_translated": false }, { "text": "امتحان مساق أمن تطبيقات الويب (رقم المساق 1911351): الأحد 27 أبريل 2026 من 14:00 حتى 15:00. المنسق: د. محمد المعايعة. عدد الطلاب: 67. القاعات: 202، 302، 303.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 130, "language": "Arabic", "was_translated": false }, { "text": "Monday 27 April 2026 exams from 11:30 to 12:30: Digital Logic 1901204 (Instructor Imad Saleh, 52 students, labs 105 and ط/1ق2); Security Principles 1911101 (Dr. Mohammad Atoom, 24 students, lab 105); Deep Learning 1915471 (Dr. Maher Al-Shatma, 43 students, labs ط/3ق3 and 304).", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 131, "language": "English", "was_translated": false }, { "text": "امتحانات الاثنين 27 أبريل 2026 من 11:30 حتى 12:30: المنطق الرقمي 1901204 (المعلم عماد صالح، 52 طالباً)؛ مبادئ الأمن 1911101 (د. محمد عتوم، 24 طالباً، مختبر 105)؛ التعلم العميق 1915471 (د. ماهر الشاطمة، 43 طالباً).", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 132, "language": "Arabic", "was_translated": false }, { "text": "Ethics and Penetration Testing (course code 1911381): Monday 27 April 2026 from 13:00 to 14:00 (1 hour). Coordinator: Dr. Ahmad Al-Houitat. Students: 44. Venue: laboratory 001.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 133, "language": "English", "was_translated": false }, { "text": "امتحان مساق أخلاقيات واختبار الاختراق (رقم المساق 1911381): الاثنين 27 أبريل 2026 من 13:00 حتى 14:00. المنسق: د. أحمد الحويطات. عدد الطلاب: 44. القاعة: 001.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 134, "language": "Arabic", "was_translated": false }, { "text": "Advanced Penetration Testing (course code 1911393): Monday 27 April 2026 from 13:00 to 14:00 (1 hour). Coordinator: Dr. Ahmad Al-Houitat. Students: 24. Venue: laboratory 002.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 135, "language": "English", "was_translated": false }, { "text": "امتحان مساق اختبار الاختراق المتقدم (رقم المساق 1911393): الاثنين 27 أبريل 2026 من 13:00 حتى 14:00. المنسق: د. أحمد الحويطات. عدد الطلاب: 24. القاعة: 002.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 136, "language": "Arabic", "was_translated": false }, { "text": "Advanced Web Applications (course code 1904254): Tuesday 28 April 2026 from 10:30 to 11:30 (1 hour). Coordinator: Dr. Bishar Al-Shboul. Students: 64. Venues: laboratories 103 and 104.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 137, "language": "English", "was_translated": false }, { "text": "امتحان مساق تطبيقات الويب المتقدمة (رقم المساق 1904254): الثلاثاء 28 أبريل 2026 من 10:30 حتى 11:30. المنسق: د. بشار الشبول. عدد الطلاب: 64. القاعات: 103، 104.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 138, "language": "Arabic", "was_translated": false }, { "text": "Computer Ethics and Documentation (course code 1901301): Tuesday 28 April 2026 from 11:30 to 15:30 (4 hours). Coordinator: Dr. Mazen Al-Wadi. Students: 54.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 139, "language": "English", "was_translated": false }, { "text": "امتحان مساق أخلاقيات الحاسوب والتوثيق (رقم المساق 1901301): الثلاثاء 28 أبريل 2026 من 11:30 حتى 15:30 (4 ساعات). المنسق: د. مازن الوادي. عدد الطلاب: 54.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 140, "language": "Arabic", "was_translated": false }, { "text": "NoSQL Non-Relational Databases (course code 1915331): Tuesday 28 April 2026 from 11:30 to 12:30 (1 hour). Coordinator: Dr. Huda Karajeh. Students: 54. Venues: laboratories 104, 105, 203, and 301.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 141, "language": "English", "was_translated": false }, { "text": "امتحان مساق قواعد البيانات غير العلائقية NoSQL (رقم المساق 1915331): الثلاثاء 28 أبريل 2026 من 11:30 حتى 12:30. المنسقة: د. هدى كراجة. عدد الطلاب: 54. القاعات: 104، 105، 203، 301.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 142, "language": "Arabic", "was_translated": false }, { "text": "Software Engineering (course code 1902472): Tuesday 28 April 2026 from 14:30 to 15:30 (1 hour). Coordinator: Prof. Amjad Hudaib. Students: 43. Venues: laboratories 104, 105, 203, 301, and ط/1ق3.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 143, "language": "English", "was_translated": false }, { "text": "امتحان مساق هندسة البرمجيات (رقم المساق 1902472): الثلاثاء 28 أبريل 2026 من 14:30 حتى 15:30. المنسق: أ.د. أمجد هديب. عدد الطلاب: 43. القاعات: 104، 105، 203، 301، ط/1ق3.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 144, "language": "Arabic", "was_translated": false }, { "text": "Special Topics in Data Science (course code 1915494): Tuesday 28 April 2026 from 15:30 to 16:30 (1 hour). Coordinator: Dr. Youssef Sinjalawi. Students: 23. Venue: laboratory 302.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 145, "language": "English", "was_translated": false }, { "text": "امتحان مساق موضوعات خاصة في علم البيانات (رقم المساق 1915494): الثلاثاء 28 أبريل 2026 من 15:30 حتى 16:30. المنسق: د. يوسف سنجلاوي. عدد الطلاب: 23. القاعة: 302.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 146, "language": "Arabic", "was_translated": false }, { "text": "Systems Analysis and Design (course code 1902474): Wednesday 29 April 2026 from 11:30 to 12:30 (1 hour). Coordinator: Dr. Ahmad Al-Sawalkha. Students: 72. Venues: laboratories 001, 002, 101, and 102.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 147, "language": "English", "was_translated": false }, { "text": "امتحان مساق تحليل وتصميم الأنظمة (رقم المساق 1902474): الأربعاء 29 أبريل 2026 من 11:30 حتى 12:30. المنسق: د. أحمد السوالقة. عدد الطلاب: 72. القاعات: 001، 002، 101، 102.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 148, "language": "Arabic", "was_translated": false }, { "text": "Thursday 30 April 2026 exams from 15:30 to 16:30: Secure Software Engineering 1911371 (Instructor Salim Al-Dayreh, 42 students, labs 101, 206, 207); Special Topics in AI 1905493 (Dr. Maher Al-Shatma, 43 students, lab ط/3ق3); Cloud Computing 1915461 (Instructor Alki Shalab, 40 students, lab 001); User-Adaptive Systems 1905323 (Instructor Iyas Habtan, 20 students, lab ط/2ق3).", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 149, "language": "English", "was_translated": false }, { "text": "امتحانات الخميس 30 أبريل 2026 من 15:30 حتى 16:30: هندسة البرمجيات الآمنة 1911371 (المعلم سليم الديرة، 42 طالباً)؛ موضوعات خاصة في الذكاء الاصطناعي 1905493 (د. ماهر الشاطمة، 43 طالباً)؛ الحوسبة السحابية 1915461 (المعلم الكي شلب، 40 طالباً)؛ الأنظمة التكيفية للمستخدم 1905323 (المعلم إياس حبتان، 20 طالباً).", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 150, "language": "Arabic", "was_translated": false }, { "text": "Analysis of Computing Science Expertise (course code 1915101): Thursday 30 April 2026 from 14:30 to 15:30 (1 hour). Coordinator: Prof. Omar Al-Kadi. Students: 208. Venues: 14 different laboratories in the technology building.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 151, "language": "English", "was_translated": false }, { "text": "امتحان مساق تحليل الخبرة في علوم الحوسبة (رقم المساق 1915101): الخميس 30 أبريل 2026 من 14:30 حتى 15:30. المنسق: أ.د. عمر القاضي. عدد الطلاب: 208. القاعات: 14 مختبراً في مبنى التكنولوجيا.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 152, "language": "Arabic", "was_translated": false }, { "text": "Security Operations (course code 1911387): Thursday 30 April 2026 from 15:00 to 16:00 (1 hour). Coordinator: Dr. Areeb Abu Al-Ghanam. Students: 67. Venues: laboratories 206 and 207.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 153, "language": "English", "was_translated": false }, { "text": "امتحان مساق عمليات الأمن (رقم المساق 1911387): الخميس 30 أبريل 2026 من 15:00 حتى 16:00. المنسق: د. أريب أبو الغنم. عدد الطلاب: 67. القاعات: 206، 207.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 154, "language": "Arabic", "was_translated": false }, { "text": "Web Application Development (course code 1904120): Saturday 2 May 2026 from 09:00 to 10:00 (1 hour). Coordinator: Dr. Yarfas Mukhadamah. Students: 481 — third largest exam in the schedule. Venues: more than 11 halls across the technology building.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 155, "language": "English", "was_translated": false }, { "text": "امتحان مساق تطوير تطبيقات الويب (رقم المساق 1904120): السبت 2 مايو 2026 من 09:00 حتى 10:00. المنسق: د. يرفس مخادمة. عدد الطلاب: 481 — ثالث أكبر امتحان في الجدول. القاعات: أكثر من 11 قاعة في مبنى التكنولوجيا.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 156, "language": "Arabic", "was_translated": false }, { "text": "Human-Computer Interaction HCI (course code 1902353): Saturday 2 May 2026 from 10:00 to 10:30 (30 minutes). Coordinator: Prof. Sadam Abu Mahmoum. Students: 123. Venues: laboratories 103, 104, 105, and 302.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 157, "language": "English", "was_translated": false }, { "text": "امتحان مساق التفاعل بين الإنسان والحاسوب HCI (رقم المساق 1902353): السبت 2 مايو 2026 من 10:00 حتى 10:30 (30 دقيقة). المنسق: أ.د. صدام أبو محموم. عدد الطلاب: 123. القاعات: 103، 104، 105، 302.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 158, "language": "Arabic", "was_translated": false }, { "text": "Natural Language Processing NLP (course code 1905380): Sunday 3 May 2026 from 14:30 to 15:30 (1 hour). Coordinator: Dr. Louay Al-Namir. Students: 90. Venues: laboratories 001, 002, 101, and 102.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 159, "language": "English", "was_translated": false }, { "text": "امتحان مساق معالجة اللغة الطبيعية NLP (رقم المساق 1905380): الأحد 3 مايو 2026 من 14:30 حتى 15:30. المنسق: د. لؤي النمر. عدد الطلاب: 90. القاعات: 001، 002، 101، 102.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 160, "language": "Arabic", "was_translated": false }, { "text": "Information Systems and Applications (course code 1902225): Monday 4 May 2026 from 11:30 to 12:30 (1 hour). Coordinator: Dr. Mohammad Abu Rais. Students: 89. Venues: laboratories 102, 201, 302, and 303.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 161, "language": "English", "was_translated": false }, { "text": "امتحان مساق نظم المعلومات والتطبيقات (رقم المساق 1902225): الاثنين 4 مايو 2026 من 11:30 حتى 12:30. المنسق: د. محمد أبو رايس. عدد الطلاب: 89. القاعات: 102، 201، 302، 303.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 162, "language": "Arabic", "was_translated": false }, { "text": "Data Theory (course code 1901443): Monday 4 May 2026 from 13:00 to 14:00 (1 hour). Coordinator: Dr. Batsama Al-Shuqrat. Students: 56. Venues: laboratories 101 and 102.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 163, "language": "English", "was_translated": false }, { "text": "امتحان مساق نظرية البيانات (رقم المساق 1901443): الاثنين 4 مايو 2026 من 13:00 حتى 14:00. المنسقة: د. بتسامة الشقرات. عدد الطلاب: 56. القاعات: 101، 102.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 164, "language": "Arabic", "was_translated": false }, { "text": "Software Engineering 2 quiz (course code 1902372): Wednesday 4 May 2026 from 12:30 to 13:00 (30 minutes). Coordinator: Dr. Ahmad Al-Sawalkha. Students: 298. Venues: laboratories 002, 101, 102, 103, 105, and 206.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 165, "language": "English", "was_translated": false }, { "text": "قصراب مساق هندسة البرمجيات 2 (رقم المساق 1902372): الأربعاء 4 مايو 2026 من 12:30 حتى 13:00 (30 دقيقة). المنسق: د. أحمد السوالقة. عدد الطلاب: 298. القاعات: 002، 101، 102، 103، 105، 206.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 166, "language": "Arabic", "was_translated": false }, { "text": "Network Security (course code 1911361): Tuesday 5 May 2026 from 10:30 to 11:30 (1 hour). Coordinator: Dr. Malik Al-Issa. Students: 75. Venues: laboratories 104, 105, and 203.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 167, "language": "English", "was_translated": false }, { "text": "امتحان مساق أمن الشبكات (رقم المساق 1911361): الثلاثاء 5 مايو 2026 من 10:30 حتى 11:30. المنسق: د. مالك العيسى. عدد الطلاب: 75. القاعات: 104، 105، 203.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 168, "language": "Arabic", "was_translated": false }, { "text": "Operating Systems (course code 1901473): Tuesday 5 May 2026 from 15:30 to 16:30 (1 hour). Coordinator: Instructor Younis Bin. Students: 239. Venues: 14 different laboratories in the technology building.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 169, "language": "English", "was_translated": false }, { "text": "امتحان مساق أنظمة التشغيل (رقم المساق 1901473): الثلاثاء 5 مايو 2026 من 15:30 حتى 16:30. المنسق: المعلم يونس بن. عدد الطلاب: 239. القاعات: 14 مختبراً في مبنى التكنولوجيا.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 170, "language": "Arabic", "was_translated": false }, { "text": "Data Mining (course code 1905222): Tuesday 5 May 2026 from 15:30 to 16:30 (1 hour). Coordinator: Prof. Rizik Al-Sayyed. Students: 113. Venues: laboratories 001, 002, 101, 102, 103, and 105.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 171, "language": "English", "was_translated": false }, { "text": "امتحان مساق التنقيب في البيانات (رقم المساق 1905222): الثلاثاء 5 مايو 2026 من 15:30 حتى 16:30. المنسق: أ.د. رزيق السيد. عدد الطلاب: 113. القاعات: 001، 002، 101، 102، 103، 105.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 172, "language": "Arabic", "was_translated": false }, { "text": "Web Server Programming (course code 1904253): Wednesday 6 May 2026 from 11:30 to 12:30 (1 hour). Coordinator: Dr. Mohammad Al-Rashed. Students: 41. Venues: laboratories 001 and 002.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 173, "language": "English", "was_translated": false }, { "text": "امتحان مساق برمجة خوادم الويب (رقم المساق 1904253): الأربعاء 6 مايو 2026 من 11:30 حتى 12:30. المنسق: د. محمد الراشد. عدد الطلاب: 41. القاعات: 001، 002.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 174, "language": "Arabic", "was_translated": false }, { "text": "Embedded Systems (course code 1905330): Wednesday 6 May 2026 from 11:30 to 12:30 (1 hour). Coordinator: Dr. Musa Al-Yaman. Students: 49. Venues: laboratories ط/3ق3, 301, and 303.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 175, "language": "English", "was_translated": false }, { "text": "امتحان مساق الأنظمة المدمجة (رقم المساق 1905330): الأربعاء 6 مايو 2026 من 11:30 حتى 12:30. المنسق: د. موسى اليامان. عدد الطلاب: 49. القاعات: ط/3ق3، 301، 303.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 176, "language": "Arabic", "was_translated": false }, { "text": "Security Management and Auditing (course code 1911321): Wednesday 6 May 2026 from 11:30 to 12:30 (1 hour). Coordinator: Dr. Mohammad Atoom. Students: 41. Venues: laboratories 207 and 301.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 177, "language": "English", "was_translated": false }, { "text": "امتحان مساق إدارة الأمن والتدقيق (رقم المساق 1911321): الأربعاء 6 مايو 2026 من 11:30 حتى 12:30. المنسق: د. محمد عتوم. عدد الطلاب: 41. القاعات: 207، 301.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 178, "language": "Arabic", "was_translated": false }, { "text": "Machine Learning and Neural Networks (course code 1915370): Wednesday 6 May 2026 from 13:00 to 14:00 (1 hour). Coordinator: Dr. Al-Roudhan. Students: 62. Venues: laboratories 001, 002, 206, and 207.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 179, "language": "English", "was_translated": false }, { "text": "امتحان مساق تعلم الآلة والشبكات العصبية (رقم المساق 1915370): الأربعاء 6 مايو 2026 من 13:00 حتى 14:00. المنسق: د. الرودان. عدد الطلاب: 62. القاعات: 001، 002، 206، 207.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 180, "language": "Arabic", "was_translated": false }, { "text": "AI and Data Science Ethics (course code 1905220): Wednesday 6 May 2026 from 13:00 to 14:00 (1 hour). Coordinator: Dr. Al-Khatib. Students: 59. Venues: laboratories 001, 103, 104, and 105.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 181, "language": "English", "was_translated": false }, { "text": "امتحان مساق أخلاقيات الذكاء الاصطناعي وعلم البيانات (رقم المساق 1905220): الأربعاء 6 مايو 2026 من 13:00 حتى 14:00. المنسق: د. الخطيب. عدد الطلاب: 59. القاعات: 001، 103، 104، 105.", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 182, "language": "Arabic", "was_translated": false }, { "text": "Coordinator summary — Prof. Azzam Sleit: Theory of Algorithms (1901341). Prof. Rizik Al-Sayyed: Social Media (0309101), Data Mining (1905222). Prof. Hamed Al-Badour: Operations Research (1904341), Computer Ethics (1902478). Prof. Hazem Al-Haiari: Computer Graphics (1901359). Prof. Abdel-Latif Abu Dalhoum: Theory of Computation (1901241). Prof. Omar Al-Kadi: Flexible Data Representation (1915441), Security Intelligence (1911489), Analysis of Computing Science Expertise (1915101). Prof. Amjad Hudaib: Software Engineering (1902472). Prof. Sadam Abu Mahmoum: Databases (1902323), Human-Computer Interaction (1902353).", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 183, "language": "English", "was_translated": false }, { "text": "ملخص المنسقين — أ.د. عزام سليط: نظرية الخوارزميات (1901341). أ.د. رزيق السيد: التواصل الاجتماعي (0309101)، التنقيب في البيانات (1905222). أ.د. حامد البدور: بحث العمليات (1904341)، أخلاقيات الحاسوب (1902478). أ.د. حازم الهياري: رسوميات الحاسوب (1901359). أ.د. عبد اللطيف أبو دلهوم: نظرية الحوسبة (1901241). أ.د. عمر القاضي: التمثيل المرن للبيانات (1915441)، استخبارات الأمن (1911489)، تحليل الخبرة في علوم الحوسبة (1915101). أ.د. أمجد هديب: هندسة البرمجيات (1902472). أ.د. صدام أبو محموم: قواعد البيانات (1902323)، التفاعل بين الإنسان والحاسوب (1902353).", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 184, "language": "Arabic", "was_translated": false }, { "text": "Coordinator summary — Dr. Irsa Al-Zaghoul: Advanced Java Programming (1902214), Object-Oriented Programming (1902110). Dr. Al-Roudhan: Fundamentals of Data Science (1915121), Functional Programming (1904345), Introduction to AI (1901351), Machine Learning and Neural Networks (1915370). Dr. Maher Al-Shatma: Deep Learning (1915471), Database Management Systems (1902224), Pattern Analysis (1915371), Special Topics in AI (1905493). Dr. Ahmad Al-Houitat: Digital Forensics Evidence (1911483), Ethics and Penetration Testing (1911381), Advanced Penetration Testing (1911393). Dr. Malik Al-Issa: Programming for Cybersecurity (1911211), Computer Organization (1911461), Network Security (1911361).", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 185, "language": "English", "was_translated": false }, { "text": "ملخص المنسقين — د. إرسا الزغول: البرمجة المتقدمة بجافا (1902214)، البرمجة كائنية التوجه (1902110). د. الرودان: أساسيات علم البيانات (1915121)، البرمجة الوظيفية (1904345)، مقدمة في الذكاء الاصطناعي (1901351)، تعلم الآلة (1915370). د. ماهر الشاطمة: التعلم العميق (1915471)، نظم إدارة قواعد البيانات (1902224)، تحليل الأنماط (1915371)، موضوعات خاصة في الذكاء الاصطناعي (1905493). د. أحمد الحويطات: الجنائيات الرقمية (1911483)، أخلاقيات الاختراق (1911381)، اختبار الاختراق المتقدم (1911393). د. مالك العيسى: البرمجة للأمن السيبراني (1911211)، تنظيم الحاسوب (1911461)، أمن الشبكات (1911361).", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 186, "language": "Arabic", "was_translated": false }, { "text": "Coordinator summary — Dr. Bishar Al-Shboul: Statistical Packages (1904255), Document Analysis (1904484), Advanced Web Applications (1904254). Dr. Areeb Abu Al-Ghanam: Digital Image Processing (1902454), Cryptography (1911241), Security Operations (1911387). Dr. Huda Karajeh: Computer Vision (1905322), Computer Documentation Ethics (1902203), NoSQL Databases (1915331). Dr. Mohammad Al-Ma'ayah: Security Risk Management (1911221), Web Application Security (1911351), CPSS (1911431). Dr. Reem Al-Fayez: Database Technologies (1902324), Entrepreneurship (1902383). Dr. Yarfas Mukhadamah: Mobile Programming (1904211), Web Application Development (1904120).", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 187, "language": "English", "was_translated": false }, { "text": "ملخص المنسقين — د. بشار الشبول: الحزم الإحصائية (1904255)، تحليل الوثائق (1904484)، تطبيقات الويب المتقدمة (1904254). د. أريب أبو الغنم: معالجة الصور الرقمية (1902454)، التشفير (1911241)، عمليات الأمن (1911387). د. هدى كراجة: رؤية الحاسوب (1905322)، أخلاقيات التوثيق (1902203)، قواعد البيانات غير العلائقية (1915331). د. محمد المعايعة: إدارة مخاطر الأمن (1911221)، أمن تطبيقات الويب (1911351)، CPSS (1911431). د. ريم الفايز: تقنيات قواعد البيانات (1902324)، ريادة الأعمال (1902383). د. يرفس مخادمة: البرمجة المتنقلة (1904211)، تطوير تطبيقات الويب (1904120).", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 188, "language": "Arabic", "was_translated": false }, { "text": "Coordinator summary — Dr. Musa Al-Akhras: Internet of Things (1905430). Dr. Musa Al-Yaman: Intelligent Robotics (1905431), Embedded Systems (1905330). Dr. Marwan Al-Taweel: Ontology and Knowledge Graphs (1905321). Dr. Louay Al-Namir: Applied Statistics (1915251), Natural Language Processing (1905380). Dr. Mazen Al-Wadi: Malware Analysis (1911481), Computer Ethics and Documentation (1901301). Dr. Mohammad Al-Rashed: Big Data (1915431), IT Operations Management (1904472), Web Server Programming (1904253). Dr. Hadanah Al-Qadah: ERP (1904351), Intelligent Business Systems (1904371). Dr. Youssef Sinjalawi: Special Topics (1904485), E-Business (1904442), Special Topics in Data Science (1915494). Dr. Yazan Al-Shmayleh: MIS (1904232), TQM (1904481). Dr. Ahmad Al-Sawalkha: Software Engineering 2 (1902372), Systems Analysis and Design (1902474).", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 189, "language": "English", "was_translated": false }, { "text": "ملخص المنسقين — د. موسى الأخرس: إنترنت الأشياء (1905430). د. موسى اليامان: الروبوتات الذكية (1905431)، الأنظمة المدمجة (1905330). د. مروان الطويل: الأنطولوجيا (1905321). د. لؤي النمر: الإحصاء التطبيقي (1915251)، معالجة اللغة الطبيعية (1905380). د. مازن الوادي: تحليل البرمجيات الخبيثة (1911481)، أخلاقيات الحاسوب (1901301). د. محمد الراشد: البيانات الضخمة (1915431)، إدارة عمليات تكنولوجيا المعلومات (1904472)، برمجة خوادم الويب (1904253). د. هدنة القضاة: ERP (1904351)، نظم الأعمال الذكية (1904371). د. يوسف سنجلاوي: موضوعات خاصة (1904485)، التجارة الإلكترونية (1904442)، موضوعات خاصة في علم البيانات (1915494). د. يزن الشميلة: MIS (1904232)، TQM (1904481). د. أحمد السوالقة: هندسة البرمجيات 2 (1902372)، تحليل وتصميم الأنظمة (1902474).", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 190, "language": "Arabic", "was_translated": false }, { "text": "Coordinator summary — Instructor Lama Rajab: Modern Digital Skills (0309103). Instructor Nabil Al-Assaf: Discrete Mathematics (1901101), Data Structures (1901242). Instructor Tazina Al-Qabbaj: Information Security and Privacy (1911322), Introductory Programming (1941102). Instructor Younis Bin: Operating Systems (1901473). Instructor Walaa Taqtish: AI Applications (0309104). Instructor Salim Al-Dayreh: Secure Software Engineering (1911371). Dr. Run Ubaydaat: Python Programming (1915111). Dr. Mohammad Atoom: Security Principles (1911101), Security Management and Auditing (1911321). Dr. Dana Al-Qadah: Web Technologies (1904355). Dr. Batsama Al-Shuqrat: Computational Problems (1901444), Data Theory (1901443). Dr. Huthayfah Abu Hamayda: Data Engineering and Analytics (1915231). Dr. Mohammad Abu Rais: Information Systems and Applications (1902225).", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 191, "language": "English", "was_translated": false }, { "text": "ملخص المنسقين — المعلمة لمى رجب: المهارات الرقمية الحديثة (0309103). المعلم نبيل العساف: الرياضيات المتقطعة (1901101)، هياكل البيانات (1901242). المعلمة تازينا القباج: أمن المعلومات (1911322)، البرمجة التمهيدية (1941102). المعلم يونس بن: أنظمة التشغيل (1901473). المعلمة ولاء تقطيش: تطبيقات الذكاء الاصطناعي (0309104). المعلم سليم الديرة: هندسة البرمجيات الآمنة (1911371). د. رن عبيدات: برمجة بايثون (1915111). د. محمد عتوم: مبادئ الأمن (1911101)، إدارة الأمن (1911321). د. دانا القضاة: تقنيات الويب (1904355). د. بتسامة الشقرات: المسائل الحاسوبية (1901444)، نظرية البيانات (1901443). د. حذيفة أبو حمايدة: هندسة البيانات (1915231). د. محمد أبو رايس: نظم المعلومات والتطبيقات (1902225).", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 192, "language": "Arabic", "was_translated": false }, { "text": "Largest exams by student count — Second Semester 2025–2026 KASIT midterms: 1st Modern Digital Skills 0309103 (3,628 students, 1 April 2026); 2nd Computer Basics 0309099 (1,922 students, 23 April 2026); 3rd Object-Oriented Programming 1902110 (549 students, 23 April 2026); 4th Web Application Development 1904120 (481 students, 2 May 2026); 5th Software Engineering 2 1902372 (298 students, 4 May 2026); 6th Python Programming 1915111 (271 students, 25 April 2026); 7th Introductory Programming 1941102 (247 students, 22 April 2026); 8th AI Applications 0309104 and Database Management Systems 1902224 (246 students each, 22 April 2026); 9th Artificial Intelligence 1905320 (246 students, 19 April 2026); 10th Information Security and Privacy 1911322 (240 students, 23 April 2026).", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 193, "language": "English", "was_translated": false }, { "text": "أكبر الامتحانات من حيث عدد الطلاب في منتصف الفصل الثاني 2025-2026 كاسيت: 1- المهارات الرقمية الحديثة 0309103 (3628 طالباً، 1 أبريل 2026)؛ 2- أساسيات الحاسوب 0309099 (1922 طالباً، 23 أبريل 2026)؛ 3- البرمجة كائنية التوجه 1902110 (549 طالباً، 23 أبريل 2026)؛ 4- تطوير تطبيقات الويب 1904120 (481 طالباً، 2 مايو 2026)؛ 5- هندسة البرمجيات 2 1902372 (298 طالباً، 4 مايو 2026)؛ 6- برمجة بايثون 1915111 (271 طالباً، 25 أبريل 2026)؛ 7- البرمجة التمهيدية 1941102 (247 طالباً، 22 أبريل 2026).", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 194, "language": "Arabic", "was_translated": false }, { "text": "Exam duration exceptions at KASIT second semester 2025–2026: Most midterms last 1 hour. Four-hour exams: Computer Basics (0309099), Modern Digital Skills (0309103), Object-Oriented Programming (1902110), Computer Ethics and Documentation (1901301). Three-hour exams: Advanced Java Programming (1902214, first session), Advanced Programming in Special Languages (1901212). Two-hour exams: Information Security and Privacy (1911322), Introductory Programming (1941102). 90-minute exam: Security Intelligence (1911489). 30-minute quizzes: Computer Graphics (1901359), Computer Architecture and Assembly Language (1911231), Theory of Algorithms quiz (1901341), Human-Computer Interaction (1902353), Software Engineering 2 quiz (1902372).", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 195, "language": "English", "was_translated": false }, { "text": "مدد الامتحانات الاستثنائية في كاسيت الفصل الثاني 2025-2026: معظم الامتحانات ساعة واحدة. امتحانات أربع ساعات: أساسيات الحاسوب (0309099)، المهارات الرقمية الحديثة (0309103)، البرمجة كائنية التوجه (1902110)، أخلاقيات الحاسوب والتوثيق (1901301). امتحانات ثلاث ساعات: البرمجة المتقدمة بجافا الجلسة الأولى (1902214)، البرمجة المتقدمة بلغات خاصة (1901212). امتحانات ساعتين: أمن المعلومات والخصوصية (1911322)، البرمجة التمهيدية (1941102). 90 دقيقة: استخبارات الأمن (1911489). قصارب 30 دقيقة: رسوميات الحاسوب (1901359)، معمارية الحاسوب (1911231)، قصراب نظرية الخوارزميات (1901341)، التفاعل بين الإنسان والحاسوب (1902353)، قصراب هندسة البرمجيات 2 (1902372).", "source": "kasit_midterm_schedule_2025_2026.pdf", "chunk_id": 196, "language": "Arabic", "was_translated": false }, { "text": "Professor Omar Al Qadi (د. عمر القاضي) is a faculty member in the Artificial Intelligence Department at the University of Jordan (KASIT), Second Semester 2025/2026. On Sundays, Tuesdays, and Thursdays, he teaches Linear Algebra for Computer Science Section 1 from 8:30–9:30 AM, Section 2 from 9:30–10:30 AM, Section 3 from 12:30–1:30 PM, and Computer Vision from 1:30–2:30 PM. Office hours are held from 11:30 AM–12:00 PM on those same days. On Mondays and Wednesdays, he teaches Data Visualization from 8:30–10:00 AM, with office hours from 11:30 AM–12:30 PM.", "source": "kasit_professors_schedules_2025_2026.pdf", "chunk_id": 1, "language": "English", "was_translated": false }, { "text": "Professor Rizq Al Sayed (د. رزق السيد) is a faculty member in the Information Technology Department at KASIT, Second Semester 2025/2026. On Sundays, Tuesdays, and Thursdays, he has administrative work and office hours from 10:30–11:30 AM and 11:30 AM–12:30 PM, followed by Data Mining Section 2 from 12:30–1:30 PM. On Mondays and Wednesdays, he teaches Data Mining Section 3 from 11:30 AM–1:00 PM, Non-Relational Databases Section 1 from 1:00 PM onward, and has scientific research and meetings from 1:00–2:30 PM.", "source": "kasit_professors_schedules_2025_2026.pdf", "chunk_id": 2, "language": "English", "was_translated": false }, { "text": "Professor Ruba Ubaidat (د. ربى عبيدات) is a faculty member in the Artificial Intelligence Department at KASIT, First Semester 2025/2026. On Sundays, Tuesdays, and Thursdays, she teaches AI Programming Section 1 from 10:30–11:30 AM, AI Programming Section 2 from 12:30–1:30 PM, and holds office hours from 1:30–2:30 PM. No classes or office hours are scheduled on Mondays or Wednesdays.", "source": "kasit_professors_schedules_2025_2026.pdf", "chunk_id": 3, "language": "English", "was_translated": false }, { "text": "Professor Dima Mahmoud Suleiman (د. ديمة محمود سليمان) is a faculty member in the Information Technology Department at KASIT, Second Semester 2025/2026. On Sundays and Tuesdays, she teaches Artificial Intelligence Section 3 in Room 302 from 8:30–9:30 AM, AI Section 4 in Room 302 from 9:30–10:30 AM, Social Media Section 13 in Lab 304 from 10:30–11:30 AM, Social Media Section 8 in Lab 304 from 12:30–1:00 PM, and has office hours with graduation project meetings. On Thursdays, she teaches AI Sections 3 and 4 in Room 302 and spends the rest of the day at the Quality Center. On Mondays, she teaches Digitalization from 8:30–10:00 AM and has scientific research sessions. On Wednesdays, she has Quality Center activities all morning and academic advising from 1:00–2:30 PM.", "source": "kasit_professors_schedules_2025_2026.pdf", "chunk_id": 4, "language": "English", "was_translated": false }, { "text": "Professor Hamed Saqr Al Badour (أ.د. حامد صقر البدور) is a senior faculty member in the Information Technology Department at KASIT, First Semester 2025/2026. On Sundays, Tuesdays, and Thursdays, he teaches Operations Research (1904341) in the Technology Corridor from 9:30–10:30 AM, HTML Section 3 (1904120) in Lab 107 from 10:30–11:30 AM, HTML Section 1 in Lab 302 from 12:30–1:30 PM, and HTML Section 2 in Lab 103 from 1:30–2:30 PM. On Mondays and Wednesdays, he teaches Computer Ethics (1904345) from 4:00–5:30 PM.", "source": "kasit_professors_schedules_2025_2026.pdf", "chunk_id": 5, "language": "English", "was_translated": false }, { "text": "Professor Yazn Al Shumaylah (د. يزن الشمايلة) is a faculty member in the Information Technology Department at KASIT, Second Semester 2025/2026. On Sundays, Tuesdays, and Thursdays, he has office hours from 12:30–1:30 PM and 1:30–2:30 PM, then teaches Management Information Systems Section 1 from 2:30–3:30 PM. On Mondays and Wednesdays, he has an office hour from 12:00–1:00 PM, teaches Fundamentals of Information Technology Section 3 from 2:30–4:30 PM, and teaches Total Quality Management Section 1 from 4:30–6:00 PM.", "source": "kasit_professors_schedules_2025_2026.pdf", "chunk_id": 6, "language": "English", "was_translated": false }, { "text": "Professor Ali Al Rawdhan (د. علي الروضان) is a faculty member in the Artificial Intelligence Department at KASIT, Second Semester 2025/2026. On Sundays, Tuesdays, and Thursdays, he teaches Machine Learning and Neural Networks Section 1 from 8:30–9:30 AM, Section 2 from 9:30–10:30 AM, Introduction to Artificial Intelligence from 11:30 AM–12:30 PM, and has office hours from 1:30–2:30 PM. On Mondays, he teaches Data Science Basics from 8:30–10:00 AM, Social Media from 11:30 AM–1:00 PM, has office hours from 1:00–2:30 PM, and teaches Machine Learning for PhD students from 4:00–7:00 PM. On Wednesdays, he teaches Data Science Basics from 8:30–10:00 AM and Social Media from 11:30 AM–1:00 PM.", "source": "kasit_professors_schedules_2025_2026.pdf", "chunk_id": 7, "language": "English", "was_translated": false }, { "text": "Professor Ahmad Al Huwaytat (د. احمد الحويطات) is a faculty member in the Information Technology Department at KASIT, Second Semester 2025/2026. On Sundays and Tuesdays, he teaches Information Security and Privacy Section 2 in Lab 107 from 9:30–10:30 AM, has office hours and academic advising from 11:30 AM–12:30 PM, teaches Ethical Hacking Section 1 in Lab 107 from 11:30 AM–1:30 PM, Digital Forensics Section 1 in Lab 105 from 1:30–3:30 PM, and Ethical Hacking Section 1 in Lab 105 from 3:30–4:30 PM. On Thursdays, only Information Security and Privacy Section 2 in Lab 107 from 9:30–10:30 AM. On Mondays and Wednesdays, he teaches Digital Forensics Section 2 in Lab 105 from 8:00–10:00 AM.", "source": "kasit_professors_schedules_2025_2026.pdf", "chunk_id": 8, "language": "English", "was_translated": false }, { "text": "Professor Bashar Al Shboul (د. بشار الشبول) is a faculty member in the Information Technology Department at KASIT, Second Semester 2025/2026. On Sundays, Tuesdays, and Thursdays, he teaches Statistical Packages Section 1 from 8:30–9:30 AM, has office hours from 9:30–11:30 AM, teaches Advanced Web Applications Section 1 from 11:30 AM–12:30 PM, and Document Analysis and Classification Section 1 from 12:30–1:00 PM. On Mondays and Wednesdays, he teaches Electronic Commerce Section 1 from 11:30 AM–1:00 PM and Advanced Web Applications Section 4. On Mondays he also teaches Decision Support Systems in the Public Sector Section 1 from 5:00–8:00 PM.", "source": "kasit_professors_schedules_2025_2026.pdf", "chunk_id": 9, "language": "English", "was_translated": false }, { "text": "Professor Yusuf Sinjlawi (د. يوسف سنجلاوي) is a faculty member in the Information Technology Department at KASIT, Second Semester 2025/2026. On Sundays, Tuesdays, and Thursdays, he has office hours from 12:30–1:30 PM, teaches Business Simulation Section 1 from 1:30–2:30 PM, and Special Topics in Data Science Section 1 from 4:30–5:30 PM. On Mondays and Wednesdays, he teaches Special Topics Section 1 around 4:30–5:00 PM.", "source": "kasit_professors_schedules_2025_2026.pdf", "chunk_id": 10, "language": "English", "was_translated": false }, { "text": "Professor Sharif Makhademah (د. شريف مخادمه) is a faculty member in the Information Technology Department at KASIT, Second Semester 2025/2026. On Sundays, Tuesdays, and Thursdays, he has office hours from 8:30–9:30 AM, teaches Data Mining Section 1 from 9:30–10:30 AM, Mobile Programming Section 1 from 10:30–11:30 AM, and Web Application Development Section 12 from 12:30–1:00 PM. No Monday or Wednesday schedule is listed.", "source": "kasit_professors_schedules_2025_2026.pdf", "chunk_id": 11, "language": "English", "was_translated": false }, { "text": "Instructor Yusuf Khalil Al Majdalawi (م. يوسف خليل المجدلاوي), email: ymajdal@ju.edu.jo, is a teaching staff member in the Information Technology Department at KASIT, Second Semester 2025/2026. His research interests include ICT applications such as E-learning, E-government, cloud computing, and E-commerce. On Sundays and Tuesdays, he teaches Modern Digital Skills in Room 205 (8:30–9:30 AM), Room 303 (9:30–10:30 AM), has office hours and advising from 11:30 AM–12:30 PM, then Modern Digital Skills in Room 205 (12:30–1:30 PM) and Room 001 (1:30–2:30 PM). On Mondays and Wednesdays, he teaches Object Oriented Programming in Lab 202 from 8:30–10:00 AM, 11:30 AM–1:00 PM, and Lab 204 from 1:00 PM onward.", "source": "kasit_professors_schedules_2025_2026.pdf", "chunk_id": 12, "language": "English", "was_translated": false }, { "text": "Instructor Rula Ismail Al Khalid (م. رولا اسماعيل الخالد), email: r.khalid@ju.edu.jo, is a teaching staff member in the Information Technology Department at KASIT, Second Semester 2025/2026. Her research interests include Image Processing and Algorithms. On Sundays and Tuesdays, she teaches Object Oriented Programming in Lab 202 (8:30–9:30 AM) and Lab 206 (9:30–10:30 AM), Modern Digital Skills in Room 201 (10:30–11:30 AM), has office hours and advising from 12:30–1:30 PM, and teaches Computer Basics in Lab 205 from 1:30–2:30 PM. On Thursdays, only OOP sections in Lab 202 and Lab 206 are scheduled. On Mondays, she teaches Computer Basics in Lab 104 from 11:30 AM–1:00 PM and continues in Lab 207.", "source": "kasit_professors_schedules_2025_2026.pdf", "chunk_id": 13, "language": "English", "was_translated": false }, { "text": "Instructor Asil Muhammad Al Anani (م. أصيل محمد العناني), email: a.anani@ju.edu.jo, is a teaching staff member in the Information Technology Department at KASIT, Second Semester 2025/2026. Her research interests include Image Processing and Algorithms. On Sundays and Tuesdays, she teaches Modern Digital Skills in Room 201 (8:30–9:30 AM), Object Oriented Programming in Lab 207 (9:30–10:30 AM and 10:30–11:30 AM), has office hours and advising from 12:30–1:30 PM, and Modern Digital Skills in Room 205 from 1:30–2:30 PM. On Thursdays, she only teaches OOP in Lab 207. On Mondays, she teaches Computer Basics in Lab 201 (8:30–10:00 AM) and Lab 205 (11:30 AM–1:00 PM).", "source": "kasit_professors_schedules_2025_2026.pdf", "chunk_id": 14, "language": "English", "was_translated": false }, { "text": "Instructor Tahani Salah Al Khatib (د/م. تهاني صلاح الخطيب), email: tahani.khatib@ju.edu.jo, is a teaching staff member in the Information Technology Department at KASIT, Second Semester 2025/2026. Her research interests include the Philosophy and Ethics of Artificial Intelligence, Responsible AI, Digital Citizenship, Computer Vision, and Signal Processing with AI. On Sundays and Tuesdays, she teaches Special Topics in Digital Skills in Lab 204 (8:30–9:30 AM) and Lab 205 (9:30–10:30 AM), has office hours from 11:30 AM–12:30 PM, teaches Special Topics in Lab 205 (12:30–1:30 PM), and Multimedia in Lab 104 (1:30–2:30 PM). On Thursdays, only Multimedia in Lab 104. On Mondays and Wednesdays, she teaches Special Topics in Digital Skills in Lab 206 from 11:00 AM–1:00 PM and AI Ethics and Data Science Online from 1:00–2:30 PM.", "source": "kasit_professors_schedules_2025_2026.pdf", "chunk_id": 15, "language": "English", "was_translated": false }, { "text": "Instructor Lama Rajab Abd Al Majid (م. لمى رجب عبد المجيد), email: lama.rajab@ju.edu.jo, is a teaching staff member in the Information Technology Department at KASIT, Second Semester 2025/2026. Her research interests include Biomedical Image Processing, Database Systems, E-learning, and Cloud Computing. On Sundays and Tuesdays, she teaches Database Management Systems in Lab 205 (8:30–9:30 AM), Modern Digital Skills in Room 205 (9:30–10:30 AM), Room at Scientific Halls Complex (10:30–11:30 AM), Room 201 (12:30–1:30 PM), and Room 201 (1:30–2:30 PM). On Thursdays, she teaches Database Management Systems and Modern Digital Skills in the morning, plus office hours and advising. On Mondays, she teaches Special Topics in Digital Skills in Lab 207 (8:30–10:00 AM), Modern Digital Skills in Room 201 (11:30 AM–1:00 PM), and has office hours from 11:00 AM–12:00 PM.", "source": "kasit_professors_schedules_2025_2026.pdf", "chunk_id": 16, "language": "English", "was_translated": false }, { "text": "Instructor Tamara Yousef Al Mara'beh (م. تمارا يوسف المراعبة), email: t.almaraabeh@ju.edu.jo, is a teaching staff member in the Information Technology Department at KASIT, Second Semester 2025/2026. Her research interests include E-business, E-government, and E-learning. On Sundays and Tuesdays, she teaches Computer Basics in Lab 206 (8:30–9:30 AM), Modern Digital Skills in Room 202 (9:30–10:30 AM), Computer Basics in Lab 201 (10:30–11:30 AM), and Computer Basics in Lab 207 (12:30–1:30 PM). On Mondays, she teaches Computer Basics in Lab 206 (8:30–10:00 AM), Modern Digital Skills in Room 302 (11:30 AM–1:00 PM), and Computer Basics in Lab 201 thereafter.", "source": "kasit_professors_schedules_2025_2026.pdf", "chunk_id": 17, "language": "English", "was_translated": false }, { "text": "Instructor Hiba Ali Muhammad (م. هبة علي محمد), also known as Hiba Khadrawi, email: h.khadrawi@ju.edu.jo, is a teaching staff member in the Information Technology Department at KASIT, Second Semester 2025/2026. Her research interests include Image Processing and E-learning. On Sundays and Tuesdays, she teaches Database Management Systems in Lab 207 (8:30–9:30 AM), Modern Digital Skills in Room 203 (9:30–10:30 AM), Room 205 (10:30–11:30 AM), and Room 202 (12:30–1:30 PM). On Thursdays, only Database Management Systems in Lab 207 (8:30–9:30 AM). On Mondays, she teaches Computer Basics in Lab 205 (8:30–10:00 AM), Modern Digital Skills in Room 205 (11:30 AM–1:00 PM), and Room 302 thereafter.", "source": "kasit_professors_schedules_2025_2026.pdf", "chunk_id": 18, "language": "English", "was_translated": false }, { "text": "Professor Rana Muhammad Yousef (أ.د. رنا محمد يوسف), email: Rana.Yousef@ju.edu.jo, is the Head of the Computer Information Systems Department at KASIT, Second Semester 2025/2026. Her research interests include Business Process Architectures, Software Testing and Validation, Semantic Modeling, Project Management, Software Applications in Healthcare and E-learning, and Generative AI and its Applications. On Sundays, Tuesdays, and Thursdays, she teaches Functional Preparation 3 (Skills) in the College Auditorium from 8:30 AM–12:30 PM, followed by scientific research from 12:30–2:30 PM. On Mondays, she has office hours from 8:30–10:00 AM and teaches Project Management Online from 2:30–4:00 PM. On Wednesdays, she teaches Special Topics in Digital Skills (Certificate Track) from 11:30 AM–1:30 PM and Project Management Online from 2:30–4:00 PM.", "source": "kasit_professors_schedules_2025_2026.pdf", "chunk_id": 19, "language": "English", "was_translated": false }, { "text": "Professor Musa Tawfiq Al Akhras (د. موسى توفيق الأخرس), email: mousa.akhras@ju.edu.jo, is a faculty member at KASIT, Second Semester 2025/2026. His research interests include AI Algorithms and their Medical Applications. On Sundays and Tuesdays, he teaches Internet of Things (IoT) in Lab 304 from 1:30–2:30 PM and 2:30–3:30 PM, has office hours and advising from 3:30–4:30 PM. On Sundays he also teaches AI and Expert Systems for Master's students in Room 105 from 4:00–7:00 PM. On Tuesdays he teaches Applied Data Science at the Engineering Faculty from 4:00–7:00 PM. On Thursdays, he teaches IoT in Lab 304 from 1:30–3:30 PM. On Mondays, he teaches Research Methodology for Master's students in Room 105 from 4:00–7:00 PM.", "source": "kasit_professors_schedules_2025_2026.pdf", "chunk_id": 20, "language": "English", "was_translated": false }, { "text": "Professor Abd Al Basit Jamal Assaf (د. عبد الباسط جمال عساف), email: ab.assaf@ju.edu.jo, is a faculty member and Assistant Dean for Student Affairs at KASIT, Second Semester 2025/2026. His research interests include Serious Games, Game-Based Learning, Generative AI, and Mobile Development. On Sundays, Tuesdays, and Thursdays, he has office hours and academic advising from 10:30–11:30 AM, teaches Object Oriented Programming in Lab 206 from 11:30 AM–12:30 PM, and OOP in Lab 202 from 12:30–1:30 PM. On Mondays, he teaches Modern Digital Skills in Room 202 from 11:00 AM–1:00 PM and Mobile Development Frameworks in Lab 204 from 1:00–2:30 PM. On Wednesdays, he has office hours and advising from 12:00–1:00 PM and teaches Mobile Development Frameworks in Lab 204 from 1:00–2:30 PM.", "source": "kasit_professors_schedules_2025_2026.pdf", "chunk_id": 21, "language": "English", "was_translated": false }, { "text": "Professor Muhammad Abd Al Rahman Abu Shariah (د. محمد عبد الرحمن أبو شريعة), email: M.Abushariah@ju.edu.jo, is a faculty member at KASIT, Second Semester 2025/2026. His research interests include Human-Computer Interaction (HCI), Software Engineering (SE), Information Systems (IS), Natural Language Processing (NLP), Automatic Speech Recognition (ASR), and Multimodal Intelligent Systems with AI. On Sundays, Tuesdays, and Thursdays, he teaches Information Systems and Applications in Room 203 (8:30–9:30 AM) and Room 201 (9:30–10:30 AM), and has office hours from 11:30 AM–12:30 PM. On Tuesdays he also supervises graduate students from 3:00–4:00 PM and teaches Multimedia for Master's students in Lab 204 from 4:00–7:00 PM. On Thursdays he teaches Natural Language Processing for PhD students in Lab 204 from 4:00–7:00 PM. On Mondays and Wednesdays, he teaches Software Engineering in Lab 204 from 8:30–10:00 AM and 11:30 AM–1:00 PM, with office hours and advising.", "source": "kasit_professors_schedules_2025_2026.pdf", "chunk_id": 22, "language": "English", "was_translated": false }, { "text": "Professor Thaer Mahmoud Hamtini (أ.د. ثائر محمود حمتيني), email: thamtini@ju.edu.jo, is a senior faculty member at KASIT, Second Semester 2025/2026. His research interests include Leveraging Generative AI in Education, Adaptive E-Learning Systems, Personalized Learning, Gamification, and Customer-Centric Training Strategies in SaaS Startups. On Sundays and Tuesdays, he teaches Database Management Systems in Lab 204 (11:30 AM–12:30 PM), Computer Basics in Lab 201 (12:30–1:30 PM), Database Management Systems in Lab 205 (1:30–2:30 PM), and Computer Basics in Lab 002 (2:30–3:30 PM). On Thursdays, he teaches Database Management Systems in Lab 204 and Lab 205, plus office hours. On Wednesdays, he has office hours from 3:00–4:00 PM and teaches E-Learning for Master's students in Room 201 from 4:00–7:00 PM.", "source": "kasit_professors_schedules_2025_2026.pdf", "chunk_id": 23, "language": "English", "was_translated": false }, { "text": "Professor Amjad Ahmad Hudaib (أ.د. أمجد أحمد هديب), email: ahudaib@ju.edu.jo, is a senior faculty member at KASIT, Second Semester 2025/2026. His research interests include Software Engineering, AI Techniques, and Algorithms. On Sundays, Tuesdays, and Thursdays, he teaches Software Engineering in Lab 204 (10:30–11:30 AM), has office hours from 11:30 AM–12:30 PM, teaches Advanced Topics in Software Engineering in Lab 204 (12:30–1:30 PM), and Software Engineering again in Lab 204 (1:30–2:30 PM). On Mondays, he has office hours from 11:00 AM–1:00 PM, teaches Computer Basics in Lab 206 from 1:00–2:30 PM and 2:30–4:00 PM.", "source": "kasit_professors_schedules_2025_2026.pdf", "chunk_id": 24, "language": "English", "was_translated": false }, { "text": "Professor Huda Abd Al Rahim Karajeh (د. هدى عبد الرحيم كراجة), email: h.karajeh@ju.edu.jo, is a faculty member at KASIT, Second Semester 2025/2026. Her research interests include Digital Image Processing and Computer Vision. On Sundays and Tuesdays, she teaches Digital Image Processing in Lab 202 from 9:30–10:30 AM and 10:30–11:30 AM, has office hours and advising from 12:30–1:30 PM, and teaches Computer Ethics and Documentation in Room 202 from 1:30–2:30 PM. On Thursdays, she teaches Digital Image Processing in Lab 202 from 9:30–11:30 AM. On Mondays, she teaches Computer Basics in Lab 206 (11:30 AM–1:00 PM) and Lab 205 thereafter.", "source": "kasit_professors_schedules_2025_2026.pdf", "chunk_id": 25, "language": "English", "was_translated": false }, { "text": "Professor Bassam Hassan Hammo (أ.د. بسام حسن حمو), email: b.hammo@ju.edu.jo, is a senior faculty member at KASIT, Second Semester 2025/2026. His research interests include Natural Language Processing (NLP) for Arabic Language, including Question Answering Systems, Text Summarization, Arabic Historical Corpora, Arabic Syntax Modeling, Arabic Text Visualization, and Enhancing Education through Technology. On Sundays and Tuesdays, he teaches Human-Computer Interaction in Room 202 (10:30–11:30 AM) and Room 203 (12:30–1:30 PM), has office hours from 12:30–1:30 PM, and teaches Advanced Topics in Database Systems in Lab 206 (1:30–2:30 PM). On Thursdays, he teaches HCI in Room 202 and Advanced Topics in Database Systems in Lab 206. On Mondays and Wednesdays, he teaches Database Management Systems in Lab 203 from 1:00–2:30 PM.", "source": "kasit_professors_schedules_2025_2026.pdf", "chunk_id": 26, "language": "English", "was_translated": false }, { "text": "Professor Hamad Uqab Al Sawalqah (د. حمد عقاب السوالقة), email: h.sawalqah@ju.edu.jo, is a faculty member at KASIT, Second Semester 2025/2026. His research interests include Software Engineering and Data Mining. On Sundays, Tuesdays, and Thursdays, he teaches Software Engineering in Lab 204 (9:30–10:30 AM), Systems Analysis and Design in Room 203 (10:30–11:30 AM), has office hours and advising from 12:30–1:30 PM, and teaches Software Engineering in Lab 206 (1:30–2:30 PM). On Mondays and Wednesdays, he has office hours and advising from 9:30–10:00 AM, teaches Software Engineering in Lab 207 from 10:00–11:30 AM. On Mondays he also teaches Software Engineering for PhD students in Room 001 from 4:00–7:00 PM.", "source": "kasit_professors_schedules_2025_2026.pdf", "chunk_id": 27, "language": "English", "was_translated": false }, { "text": "Artificial Intelligence (AI) Department faculty at KASIT, University of Jordan: Dr. Ruba Obeidat (r.obiedat@ju.edu.jo) — Head of the AI Department. Dr. Tamam Al-Sarhan (t_alsarhan@ju.edu.jo). Prof. Nadim Obeid (obein@ju.edu.jo). Prof. Mohammad Al-Shridah (mshridah@ju.edu.jo). Prof. Omar Al-Kadi (o.alkadi@ju.edu.jo). Prof. Ibrahim Al-Jarah (i.aljarah@ju.edu.jo). Dr. Ali Abdullah Al-Rodan (a.rodan@ju.edu.jo). Dr. Luay Al-Nemer (l.nemer@ju.edu.jo). Dr. Majdi Sawalha (sawalha.majdi@ju.edu.jo).", "source": "kasit_faculty_directory.pdf", "chunk_id": 1, "language": "English", "was_translated": true }, { "text": "Business Information Technology (BIT) Department faculty at KASIT, University of Jordan: Prof. Rizq Al-Sayyed (r.alsayyed@ju.edu.jo) — Head of the BIT Department. Prof. Hamed Saqr Al-Bdour (h.bdour@ju.edu.jo). Prof. Osama Harfoushi (o.harfoushi@ju.edu.jo). Prof. Hossam Faris (Hossam.faris@ju.edu.jo). Dr. Jafar Al-Qatawna (j.alqatawna@ju.edu.jo). Dr. Bashar Awad Al-Shboul (b.shboul@ju.edu.jo). Dr. Yazn Yasin Al-Shamaileh (y.shamaileh@ju.edu.jo). Dr. Dana Al-Qudah (d.qudah@ju.edu.jo). Dr. Malak Al-Hassan (M_Alhassan@ju.edu.jo). Instructor Maryam Itriq (m.itriq@ju.edu.jo). Dr. Samar Al-Saqqa (s.alsaqqa@ju.edu.jo). Dr. Mohammad Abdullah Al-Sharaiah (m.alsharaiah@ju.edu.jo). Dr. Dima Suleiman (dima.suleiman@ju.edu.jo). Dr. Sharif Nasr Makhademah (s_makhadmeh@ju.edu.jo). Dr. Yusuf Khadr Sinjlawi (y.sanjalawe@ju.edu.jo).", "source": "kasit_faculty_directory.pdf", "chunk_id": 2, "language": "English", "was_translated": true }, { "text": "Computer Information Systems (CIS) Department faculty at KASIT, University of Jordan: Dr. Marwan Al-Tawil (m.alTawil@ju.edu.jo) — Vice Dean for Administrative and Academic Affairs. Dr. Abd Al-Basit Jamal Assaf (ab.assaf@ju.edu.jo) — Assistant Dean for Student Affairs. Dr. Rana Yousef (rana.yousef@ju.edu.jo) — Head of the CIS Department. Prof. Mohammad Bilal Al-Zoubi (mba@ju.edu.jo). Prof. Bassam Hammo (b.hammo@ju.edu.jo). Prof. Amjad Hudaib (ahudaib@ju.edu.jo). Prof. Thaer Hamtini (thamtini@ju.edu.jo). Dr. Musa Al-Akhras (mousa.akhras@ju.edu.jo). Dr. Mohammad Abd Al-Rahman Abu Shariah (m.abushariah@ju.edu.jo). Dr. Huda Karajeh (h.karajeh@ju.edu.jo). Dr. Hamad Uqab Al-Sawalqah (h.sawalqah@ju.edu.jo). Dr. Salsabeel Fayez Al-Falah (s.alfalah@ju.edu.jo). Dr. Israa Al-Zaghoul (e.zaghoul@ju.edu.jo). Dr. Reem Ali Al-Fayez (r.alfayez@ju.edu.jo). Instructor Asil Al-Anani (a.anani@ju.edu.jo). Instructor Rula Al-Khalid (r.khalid@ju.edu.jo). Dr. Tahani Al-Khatib (tahani.khatib@ju.edu.jo). Instructor Lama Rajab (lama.rajab@ju.edu.jo). Instructor Hiba Khadrawi (h.Khadrawi@ju.edu.jo). Instructor Tamara Al-Mara'beh (t.almaraabeh@ju.edu.jo). Instructor Walaa Qutaishat (walaa_qutechate@yahoo.com). Instructor Yusuf Majdalawi (ymajdal@ju.edu.jo).", "source": "kasit_faculty_directory.pdf", "chunk_id": 3, "language": "English", "was_translated": true }, { "text": "Computer Science (CS) Department faculty at KASIT, University of Jordan: Prof. Basel Mahafzah (b.mahafzah@ju.edu.jo) — Dean of the Faculty of Information Technology. Dr. Mohammad Salem Al-Atoum (m.atoum@ju.edu.jo) — Head of the CS Department. Prof. Abd Al-Latif Abu Dalhoum (a.latif@ju.edu.jo). Prof. Ahmad Al-Sharaiah (sharieh@ju.edu.jo). Prof. Sami Sarhan (samiserh@ju.edu.jo). Prof. Saleh Al-Sharaiah (ssharaeh@ju.edu.jo). Prof. Azzam Sleit (azzam.sleit@ju.edu.jo). Prof. Mohammad Al-Qatawneh (mohd.qat@ju.edu.jo). Prof. Imad Salah (isalah@ju.edu.jo). Prof. Wissam Al-Mobaideen (almobaideen@inf.ju.edu.jo). Prof. Hazem Al-Hayari (hazemh@ju.edu.jo). Prof. Khair Al-Din Sabri (k.sabri@ju.edu.jo). Prof. Iman Al-Momani (i.momani@ju.edu.jo). Dr. Maan Al-Assaf (m_alassaf@ju.edu.jo). Dr. Shirinaz Baddar (s.baddar@ju.edu.jo). Dr. Saher Al-Manaseer (saher@ju.edu.jo). Dr. Basma Ahmad Al-Shuqairat (b.shoqurat@ju.edu.jo). Dr. Heba Saadeh (heba.saadeh@ju.edu.jo). Dr. Bilal Abu Salih (b.AbuSalih@ju.edu.jo). Dr. Mohammad Amin Al-Ma'aiah (m.almaiah@ju.edu.jo). Dr. Oraib Abu Al-Ghanam (O.Abualganam@ju.edu.jo). Dr. Ahmad Al-Huwaytat (a.hwaitat@ju.edu.jo). Instructor Ansar Khouri (ansar@ju.edu.jo). Instructor Lubna Naser Al-Din (lubna@ju.edu.jo). Instructor Nabil Al-Assaf (n.alassaf@ju.edu.jo). Dr. Jamal Mohammad Al-Sakran (j.alsakran@ju.edu.jo). Zeina Al-Qabbat (z_yousef@ju.edu.jo).", "source": "kasit_faculty_directory.pdf", "chunk_id": 4, "language": "English", "was_translated": true }, { "text": "KASIT department heads and key administrative roles at the University of Jordan: Dean of the Faculty of Information Technology — Prof. Basel Mahafzah (b.mahafzah@ju.edu.jo), CS Department. Vice Dean for Administrative and Academic Affairs — Dr. Marwan Al-Tawil (m.alTawil@ju.edu.jo), CIS Department. Assistant Dean for Student Affairs — Dr. Abd Al-Basit Assaf (ab.assaf@ju.edu.jo), CIS Department. Head of the AI Department — Dr. Ruba Obeidat (r.obiedat@ju.edu.jo). Head of the BIT Department — Prof. Rizq Al-Sayyed (r.alsayyed@ju.edu.jo). Head of the CIS Department — Dr. Rana Yousef (rana.yousef@ju.edu.jo). Head of the CS Department — Dr. Mohammad Al-Atoum (m.atoum@ju.edu.jo).", "source": "kasit_faculty_directory.pdf", "chunk_id": 5, "language": "English", "was_translated": true }, { "text": "KASIT faculty email lookup — Artificial Intelligence Department: Ruba Obeidat r.obiedat@ju.edu.jo, Tamam Al-Sarhan t_alsarhan@ju.edu.jo, Nadim Obeid obein@ju.edu.jo, Mohammad Al-Shridah mshridah@ju.edu.jo, Omar Al-Kadi o.alkadi@ju.edu.jo, Ibrahim Al-Jarah i.aljarah@ju.edu.jo, Ali Al-Rodan a.rodan@ju.edu.jo, Luay Al-Nemer l.nemer@ju.edu.jo, Majdi Sawalha sawalha.majdi@ju.edu.jo.", "source": "kasit_faculty_directory.pdf", "chunk_id": 6, "language": "English", "was_translated": true }, { "text": "KASIT faculty email lookup — Business Information Technology Department: Rizq Al-Sayyed r.alsayyed@ju.edu.jo, Hamed Al-Bdour h.bdour@ju.edu.jo, Osama Harfoushi o.harfoushi@ju.edu.jo, Hossam Faris Hossam.faris@ju.edu.jo, Jafar Al-Qatawna j.alqatawna@ju.edu.jo, Bashar Al-Shboul b.shboul@ju.edu.jo, Yazn Al-Shamaileh y.shamaileh@ju.edu.jo, Dana Al-Qudah d.qudah@ju.edu.jo, Malak Al-Hassan M_Alhassan@ju.edu.jo, Maryam Itriq m.itriq@ju.edu.jo, Samar Al-Saqqa s.alsaqqa@ju.edu.jo, Mohammad Al-Sharaiah m.alsharaiah@ju.edu.jo, Dima Suleiman dima.suleiman@ju.edu.jo, Sharif Makhademah s_makhadmeh@ju.edu.jo, Yusuf Sinjlawi y.sanjalawe@ju.edu.jo.", "source": "kasit_faculty_directory.pdf", "chunk_id": 7, "language": "English", "was_translated": true }, { "text": "KASIT faculty email lookup — Computer Information Systems Department: Marwan Al-Tawil m.alTawil@ju.edu.jo, Abd Al-Basit Assaf ab.assaf@ju.edu.jo, Rana Yousef rana.yousef@ju.edu.jo, Mohammad Al-Zoubi mba@ju.edu.jo, Bassam Hammo b.hammo@ju.edu.jo, Amjad Hudaib ahudaib@ju.edu.jo, Thaer Hamtini thamtini@ju.edu.jo, Musa Al-Akhras mousa.akhras@ju.edu.jo, Mohammad Abu Shariah m.abushariah@ju.edu.jo, Huda Karajeh h.karajeh@ju.edu.jo, Hamad Al-Sawalqah h.sawalqah@ju.edu.jo, Salsabeel Al-Falah s.alfalah@ju.edu.jo, Israa Al-Zaghoul e.zaghoul@ju.edu.jo, Reem Al-Fayez r.alfayez@ju.edu.jo, Asil Al-Anani a.anani@ju.edu.jo, Rula Al-Khalid r.khalid@ju.edu.jo, Tahani Al-Khatib tahani.khatib@ju.edu.jo, Lama Rajab lama.rajab@ju.edu.jo, Hiba Khadrawi h.Khadrawi@ju.edu.jo, Tamara Al-Mara'beh t.almaraabeh@ju.edu.jo, Walaa Qutaishat walaa_qutechate@yahoo.com, Yusuf Majdalawi ymajdal@ju.edu.jo.", "source": "kasit_faculty_directory.pdf", "chunk_id": 8, "language": "English", "was_translated": true }, { "text": "KASIT faculty email lookup — Computer Science Department: Basel Mahafzah b.mahafzah@ju.edu.jo, Mohammad Al-Atoum m.atoum@ju.edu.jo, Abd Al-Latif Abu Dalhoum a.latif@ju.edu.jo, Ahmad Al-Sharaiah sharieh@ju.edu.jo, Sami Sarhan samiserh@ju.edu.jo, Saleh Al-Sharaiah ssharaeh@ju.edu.jo, Azzam Sleit azzam.sleit@ju.edu.jo, Mohammad Al-Qatawneh mohd.qat@ju.edu.jo, Imad Salah isalah@ju.edu.jo, Wissam Al-Mobaideen almobaideen@inf.ju.edu.jo, Hazem Al-Hayari hazemh@ju.edu.jo, Khair Al-Din Sabri k.sabri@ju.edu.jo, Iman Al-Momani i.momani@ju.edu.jo, Maan Al-Assaf m_alassaf@ju.edu.jo, Shirinaz Baddar s.baddar@ju.edu.jo, Saher Al-Manaseer saher@ju.edu.jo, Basma Al-Shuqairat b.shoqurat@ju.edu.jo, Heba Saadeh heba.saadeh@ju.edu.jo, Bilal Abu Salih b.AbuSalih@ju.edu.jo, Mohammad Al-Ma'aiah m.almaiah@ju.edu.jo, Oraib Abu Al-Ghanam O.Abualganam@ju.edu.jo, Ahmad Al-Huwaytat a.hwaitat@ju.edu.jo, Ansar Khouri ansar@ju.edu.jo, Lubna Naser Al-Din lubna@ju.edu.jo, Nabil Al-Assaf n.alassaf@ju.edu.jo, Jamal Al-Sakran j.alsakran@ju.edu.jo, Zeina Al-Qabbat z_yousef@ju.edu.jo.", "source": "kasit_faculty_directory.pdf", "chunk_id": 9, "language": "English", "was_translated": true } ]