[ { "text": "Academic Calendar University of Jordan\nSecond Semester 2025 2026", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 1, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "" }, { "text": "Overview of the Second Semester 2025 2026\nThis document presents the official academic 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, "doc_type": "academic_calendar", "section_title": "Overview of the Second Semester 2025–2026" }, { "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.\nThe 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": 3, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Overview of the Second Semester 2025–2026" }, { "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": 4, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Overview of the Second Semester 2025–2026" }, { "text": "inal 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, "doc_type": "academic_calendar", "section_title": "Overview of the Second Semester 2025–2026" }, { "text": "Start of Semester and Add/Drop Period\nThe official 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. 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": 6, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Start of Semester and Add/Drop Period" }, { "text": "from this date onward for department meetings, course preparations, and student advising sessions.\nThe 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": 7, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Start of Semester and Add/Drop Period" }, { "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.\nTeaching 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": 8, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Start of Semester and Add/Drop Period" }, { "text": "Jordan.\nTeaching 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": 9, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Start of Semester and Add/Drop Period" }, { "text": "ntent 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": 10, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Start of Semester and Add/Drop Period" }, { "text": "Official Public Holidays During the Second Semester\nThe 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. 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": 11, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Official Public Holidays During the Second Semester" }, { "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.\nLabour 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": 12, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Official Public Holidays During the Second Semester" }, { "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.\nEid Al-Adha (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.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 13, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Official Public Holidays During the Second Semester" }, { "text": "f 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. 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": 14, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Official Public Holidays During the Second Semester" }, { "text": "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": 15, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Official Public Holidays During the Second Semester" }, { "text": "Midterm Examinations\nThe midterm examination period for the Second 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": 16, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Midterm Examinations" }, { "text": "e held Sunday through Thursday to align with the standard working week at the University of Jordan.\nMidterm 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": 17, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Midterm Examinations" }, { "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": 18, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Midterm Examinations" }, { "text": "irected to the relevant academic department and processed in accordance with university regulations.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 19, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Midterm Examinations" }, { "text": "Summer Semester Registration and End of Teaching\nRegistration 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. 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.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 20, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Summer Semester Registration and End of Teaching" }, { "text": "r registration to ensure they select appropriate courses that align with their degree requirements.\nThe 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": 21, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Summer Semester Registration and End of Teaching" }, { "text": "re 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.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 22, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Summer Semester Registration and End of Teaching" }, { "text": ", and students who do not formally withdraw will receive grades based on their academic performance.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 23, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Summer Semester Registration and End of Teaching" }, { "text": "Final Examinations\nThe final examination period 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. Final examinations are comprehensive assessments that evaluate student mastery of course material across the entire semester and carry significant weight in determining final grades.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 24, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Final Examinations" }, { "text": "ourse material across the entire semester and carry significant weight in determining final grades.\nStudents must 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": 25, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Final Examinations" }, { "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": 26, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Final Examinations" }, { "text": "ation 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": 27, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Final Examinations" }, { "text": "Grade Submission and Academic Decisions\nFollowing 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. 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": 28, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Grade Submission and Academic Decisions" }, { "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.\nThe 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": 29, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Grade Submission and Academic Decisions" }, { "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. 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": 30, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Grade Submission and Academic Decisions" }, { "text": "eans, 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": 31, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Grade Submission and Academic Decisions" }, { "text": "Inter-Semester Student Holiday\nThe 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. This holiday provides students with time to rest, review their academic results, and prepare for upcoming summer coursework or other commitments.", "source": "Academic_Calendar_UJ_Second_Semester_2025_2026_RAG.docx", "chunk_id": 32, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Inter-Semester Student Holiday" }, { "text": "est, 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": 33, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Inter-Semester Student Holiday" }, { "text": "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": 34, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Inter-Semester Student Holiday" }, { "text": "Graduation Week\nGraduation 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. 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": 35, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Graduation Week" }, { "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.\nThe 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": 36, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Graduation Week" }, { "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. 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": 37, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Graduation Week" }, { "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": 38, "language": "English", "was_translated": false, "doc_type": "academic_calendar", "section_title": "Graduation Week" }, { "text": "1. \nSchool \nKing Abdullah II School for Information \nTechnology \n2. \nDepartment \nArtificial Intelligence \n\n3. \nProgram title (Arabic) \n الذكاء االصطناعي \n\n4. \nProgram title (English) \nArtificial Intelligence \n\n5. Components of Curriculum: \n\nThe curriculum for the bachelor s degree in Artificial Intelligence Program consists of (132) credit \nhours distributed as follows \n\nNumber Type of requirement \ncredit hours \n\nFirst \nUniversity Requirements \n27 \nSecond \nSchool courses \n24 \n\nThird", "source": "AI-English (2022).pdf", "chunk_id": 1, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "equirement \ncredit hours \n\nFirst \nUniversity Requirements \n27 \nSecond \nSchool courses \n24 \n\nThird \nSpecialty courses: \n(Obligatory specialty courses) \n69 \n\n \n(Elective specialty courses) \n12 \nFourth \n - \n0 \nTotal \n132 \n\n \n6. Numbering System: \n\nA- Department number \n\nNumber \nDepartment \n\n1 \nComputer Science (CS) \n\n2 \nComputer Information Systems (CIS) \n\n3 \n Business Information Systems (BIS) \n\n4 \nInformation Technology (IT) \n\n5 \nArtificial Intelligence (AI) \n\n \nQF-AQAC-02.03.1.2", "source": "AI-English (2022).pdf", "chunk_id": 2, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ms (BIS) \n\n4 \nInformation Technology (IT) \n\n5 \nArtificial Intelligence (AI) \n\n \nQF-AQAC-02.03.1.2 \n\nStudy Plan - Bachelors \n \n \n\nB- Course number \nDomain \nnumber \nDomain title \nDomain \nnumber \nDomain title \n\n0 \nGeneral \n5 \nApplications \n\n1 \nProgramming Languages \n6 \nComputer Networks and Data \nCommunication \n\n2 \nFundamentals of AI and Data \nScience \n7 \nMachine Learning \n\n3 \nEmbedded Systems and \nRobotics \n8 \nNatural Language Processing \n\n4 \nComputational Sciences and \nAlgorithms \n9", "source": "AI-English (2022).pdf", "chunk_id": 3, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "tems and \nRobotics \n8 \nNatural Language Processing \n\n4 \nComputational Sciences and \nAlgorithms \n9 \nSpecial Topics and Project \n\nC- Course number consists of 7 digits \n\nSchool \nDepartment \nLevel \nSerial number \n\n1 \n9 \n0 \n5 \nX \nX \nX \n \n\n \n \n \n \n1 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\nFirst: University Requirements (27) credit hours distributed as follows: \n \n\nPreparation Program Requirements", "source": "AI-English (2022).pdf", "chunk_id": 4, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ersity Requirements (27) credit hours distributed as follows: \n \n\nPreparation Program Requirements \nAll students admitted to the university must apply for a degree examination in Arabic and English and the \ncomputer is prepared or approved by the university to determine their level. Based on the results of the \nexaminations, either the student will study one or more of the requirements of the preparatory program. \n\n(0 - 15 Credit Hours) \n\nHours \nCourse \n\nNotes \nPrerequisites \nCredit \n\nNo.", "source": "AI-English (2022).pdf", "chunk_id": 5, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "preparatory program. \n\n(0 - 15 Credit Hours) \n\nHours \nCourse \n\nNotes \nPrerequisites \nCredit \n\nNo. \nCourse Title \nNo. \n\n- \n- \n0 \n0300150 \nCommunity Service \n1 \n\n- \n- \n0 \n1902098 \nComputer Skills Placement Test \n2 \n\nPass/Fail \n1902098\n \n \n3 \n1932099 \nBasics of Computing \n3 \n\n- \n- \n0 \n3201098 \n Arabic Placement Test \n4 \n\nPass/Fail \n3201098 \n3 \n3201099 \nBasics of Arabic \n5 \n\nPass/Fail \n3201099 \n3 \n3201100 \nArabic Languages Skills \n6 \n\n- \n- \n0 \n3202098 \nEnglish Placement Test \n7 \n\nPass/Fail", "source": "AI-English (2022).pdf", "chunk_id": 6, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "3 \n3201100 \nArabic Languages Skills \n6 \n\n- \n- \n0 \n3202098 \nEnglish Placement Test \n7 \n\nPass/Fail \n 3202098 \n3 \n3202099 \nBasics of English \n8 \n\nPass/Fail \n3202099 \n3 \n3202100 \nEnglish Language Skills \n9 \n\nCompulsory Requirements \n\n(18 Credit Hours) \n\nHours \nCourse \n\nNotes \nPrerequisites \nCredit \n\nNo. \nCourse Title \nNo. \n\n \n \n3 \n0100\n2\n22\n \nMilitary Sciences \n1 \n\n \n \n3 \n3400100 \nNational Culture \n2 \n\n \n \n \n3 \n3410100 \n \nEthics and Humans Values \n3 \n\n \n1932099\n /\n3410100\n \n3 \n3410101", "source": "AI-English (2022).pdf", "chunk_id": 7, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ulture \n2 \n\n \n \n \n3 \n3410100 \n \nEthics and Humans Values \n3 \n\n \n1932099\n /\n3410100\n \n3 \n3410101 \nEntrepreneurship Innovation and \nScientific Research \n4 \n\n \n \n1932099\n /\n3410100\n \n3 \n3410102 \nLife And Practical Skills \n5 \n\n \n1932099\n /\n3410100\n \n3 \n3400103 \nIntroduction to Philosophy and Critical \nThinking \n6 \n\n \n \n \n \n2 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\nC- Electives \n(9 Credit Hours)", "source": "AI-English (2022).pdf", "chunk_id": 8, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "king \n6 \n\n \n \n \n \n2 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\nC- Electives \n(9 Credit Hours) \nElective courses: (9) credit hours to be chosen from the first, second and third groups mentioned below. The \nstudent has to choose one course from each of the groups. \n\n(First Group) \n\nNotes \nPrerequisites \nCredit Hours \nCourse \n\nNo. \nCourse Title \nNo. \n\n- \n- \n3 \n0400101 \nIslam and Contemporary Issues \n1 \n\n- \n- \n3 \n2300101 \nArab-Islamic Civilization \n2 \n\n- \n- \n3 \n2300102", "source": "AI-English (2022).pdf", "chunk_id": 9, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "and Contemporary Issues \n1 \n\n- \n- \n3 \n2300101 \nArab-Islamic Civilization \n2 \n\n- \n- \n3 \n2300102 \n Jordan: History and Civilization \n3 \n\n- \n- \n3 \n3400107 \nGreat Books \n4 \n\n- \n- \n3 \n3400108 \nJerusalem \n5 \n\n \nElectives \n(Second Group) \n\nNotes \nPrerequisites \nCredit Hours \nCourse \n\nNo. \nCourse Title \nNo. \n\n- \n- \n3 \n0102\n1\n03\n \nEnvironmental Culture and \nDevelopment \n1 \n\n- \n- \n3 \n0400102 \nIslamic Culture \n2 \n\n- \n- \n3 \n0720100 \nHealth Culture \n3 \n\n- \n- \n3 \n1000102 \nLegal Culture \n4 \n\n- \n-", "source": "AI-English (2022).pdf", "chunk_id": 10, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "mic Culture \n2 \n\n- \n- \n3 \n0720100 \nHealth Culture \n3 \n\n- \n- \n3 \n1000102 \nLegal Culture \n4 \n\n- \n- \n3 \n1100100 \nPhysical Fitness Culture \n5 \n\n \nElectives \n(Third Group) \n\nNotes \nPrerequisites \nCredit Hours \nCourse \n\nNo. \nCourse Title \nNo. \n\n \n \n3 \n1600100 \nElectronic Commerce \n1 \n\n \n \n3 \n1900101 \nSocial Media \n2 \n\n \n \n3 \n2000100 \nAppreciation of Arts \n3 \n\n \n \n3 \n2200103 \nForeign Language \n4 \n\n \n \n3 \n3400106 \nSpecial Subject \n5 \n\nSecond: School courses: distributed as follows: \n\nA.", "source": "AI-English (2022).pdf", "chunk_id": 11, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "guage \n4 \n\n \n \n3 \n3400106 \nSpecial Subject \n5 \n\nSecond: School courses: distributed as follows: \n\nA. Obligatory school courses: (24) credit hours \nB. Elective school courses: (0) credit hours \n\n \n \n \n \n3 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\n \nA. Obligatory school courses: (24) credit hours: \n\nContact Hours \nCredit \nHours \n\nCourse \nNumber \nCourse Title \n\nPre-\nrequisite \nTheoretical \nPractical \n\n1901101 \nDiscrete Mathematics \n3 \n- \n3 \n- \n\nPass \nQualifications \nExam or \n1932099", "source": "AI-English (2022).pdf", "chunk_id": 12, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ractical \n\n1901101 \nDiscrete Mathematics \n3 \n- \n3 \n- \n\nPass \nQualifications \nExam or \n1932099 \n\n1931102 \nComputer Skills for \nScientific Faculties \n3 \n- \n3 \n\n1904101 \nFundamentals of \nInformation Technology \n3 \n- \n3 \n- \n\n1904120 \nWeb Applications \nDevelopment \n3 \n \n3 \n1931102 \n\n1902110 \nObject-Oriented \nProgramming \n3 \n \n3 \n1931102 \n\n1901242 \nData Structures \n3 \n- \n3 \n1902110 \n\n1902224 \nDatabase Management \nSystems \n3 \n- \n3 \n1902110 \n\n1915101 \nLinear Algebra for", "source": "AI-English (2022).pdf", "chunk_id": 13, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "1902110 \n\n1902224 \nDatabase Management \nSystems \n3 \n- \n3 \n1902110 \n\n1915101 \nLinear Algebra for \nComputational Sciences \n3 \n- \n3 \n0301101 \n\n1902390 \nSeminar-Road to Software \nIndustry \n2 \n- \n0 \nPassing 45 \nhours \n \n \n\nB. Elective school courses: ( 0 ) credit hours: \n\n \n \n \n \n \n \n \n \n \n \n \n \nThird: Specialty courses: ( 81 ) credit hours distributed as follows: \n \n\nA. Obligatory specialty courses: ( 69 ) credit hours: \n\n \n \n \n \n4 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors", "source": "AI-English (2022).pdf", "chunk_id": 14, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "y specialty courses: ( 69 ) credit hours: \n\n \n \n \n \n4 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\nContact Hours \n\nCourse \nNumbe\nr \n\nPre-\nrequisite \nTheoretical \n\nCredit \n\nCourse Title \n\nPractical \n\nHours \n\n \n301131 \nPrinciples of Statistics \n3 \n- \n3 \n- \n301101 \nCalculus-1 \n3 \n- \n3 \n- \n1915111 AI Programming \n3 \n- \n3 \n1931102 \n1905120 Introduction to Artificial \n\n3 \n- \n3 \n1904101 \n\nIntelligence \n\n1905220 Ethics of Artificial Intelligence and \n\n3 \n- \n3 \n1905120 \n\nData Science", "source": "AI-English (2022).pdf", "chunk_id": 15, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Intelligence \n\n1905220 Ethics of Artificial Intelligence and \n\n3 \n- \n3 \n1905120 \n\nData Science \n\n1905221 Knowledge Representation and \n\n3 \n- \n3 \n1905120 \n\nReasoning \n\n1905222 Data Mining \n3 \n- \n3 \n1902224 \n1905320 Artificial Intelligence \n3 \n- \n3 \n1901242 \n1905321 Ontologies and Knowledge Graphs \n3 \n- \n3 \n1905221 \n1905322 Computer Vision \n3 \n- \n3 \n1915370 \n1905330 Embedded Systems \n3 \n- \n3 \n1901242 \nand \n1905320 \n1905380 Natural Language Processing \n3 \n- \n3 \n1905320", "source": "AI-English (2022).pdf", "chunk_id": 16, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ded Systems \n3 \n- \n3 \n1901242 \nand \n1905320 \n1905380 Natural Language Processing \n3 \n- \n3 \n1905320 \n1901341 Theory of Algorithms \n3 \n- \n3 \n1901242 \n1901363 Computer Networks \n3 \n- \n3 \n1901242 \n1911322 Information Security and Privacy \n3 \n- \n3 \n1901363 \nand \n1902224 \n1902353 Human Computer Interaction \n3 \n- \n3 \n1904120 \n1902372 Software Engineering \n3 \n- \n3 \n1902224 \n1915370 Machine Learning and Neural \n\n3 \n- \n3 \n1905222 \n\nNetworks \n\n1905420 Cognitive Science \n3 \n- \n3 \n1905320", "source": "AI-English (2022).pdf", "chunk_id": 17, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "e Learning and Neural \n\n3 \n- \n3 \n1905222 \n\nNetworks \n\n1905420 Cognitive Science \n3 \n- \n3 \n1905320 \n1905430 Internet of Things \n3 \n- \n3 \n1905320 \nand \n1901363 \n1905431 Intelligent Robotics \n3 \n- \n3 \n1905330 \n1915471 Deep Learning \n3 \n- \n3 \n1915370 \n1905490 Training \n6 Weeks \n0 \n(Success \n90 hours) \n1905491 Project-1 \n- \n- \n0 \n(Success \n90 hours) \n1905492 Project-2 \n- \n- \n3 \n1905491 \n \nB. Elective specialty courses: ( 12 ) credit hours: \n\nCourse Title \nContact Hours \n\n \n \n \n \n5 \nQF-AQAC-02.03.1.", "source": "AI-English (2022).pdf", "chunk_id": 18, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "specialty courses: ( 12 ) credit hours: \n\nCourse Title \nContact Hours \n\n \n \n \n \n5 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\nCredi\n\nCourse \nNumber \n\nTheoretical \n\nPractical \n\nPre-\nrequisite \n\nt \nHours \n\n1905310 Advanced AI Programming \n3 \n- \n3 \n1905111 \n1915241 Bioinformatics \n3 \n- \n3 \n1905222 \n1915251 Applied Statistics \n3 \n- \n3 \n301131 \n1905323 User Adaptive Systems \n3 \n- \n3 \n1905320 and \n1902353 \n\n1915331 NoSQL Databases \n3 \n- \n3 \n1902224 \n1915341 Social Network Analysis \n3 \n- \n3", "source": "AI-English (2022).pdf", "chunk_id": 19, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "and \n1902353 \n\n1915331 NoSQL Databases \n3 \n- \n3 \n1902224 \n1915341 Social Network Analysis \n3 \n- \n3 \n1905222 \nAnd \n1901341 \n1905350 Knowledge Graphs \n\n3 \n- \n3 \n1905321 \n\nTechnologies and Applications \n\n1915352\n \n\nHealthcare and Medical Data \nAnalytics \n\n3 \n- \n3 \n1905222 \n\n1915371 Pattern Recognition and \n\n3 \n- \n3 \n1905222 \n\nInformation Analysis \n\n1905381 Advanced Natural Language \n\n3 \n- \n3 \n1905380 \n\nProcessing \n\n1905382 Digital Speech Processing \n3 \n- \n3 \n1905320", "source": "AI-English (2022).pdf", "chunk_id": 20, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ral Language \n\n3 \n- \n3 \n1905380 \n\nProcessing \n\n1905382 Digital Speech Processing \n3 \n- \n3 \n1905320 \n1902383 Information Technology \n\n3 \n- \n3 \n1902224 \n\nEntrepreneurship and Innovation \n\n1915431 Big Data \n3 \n \n3 \n1915370 \n\n1905432 Reinforcement learning \n3 \n- \n3 \n1905330 \n1905433 Intelligent Agents \n3 \n- \n3 \n1905431 \n1905434 Advanced Embedded Systems \n3 \n- \n3 \n1905330 \n1915441 Data Visualization \n3 \n- \n3 \n1915370 \n1905435 Brain-Computer Interaction \n3 \n- \n3 \n1905320", "source": "AI-English (2022).pdf", "chunk_id": 21, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "1915441 Data Visualization \n3 \n- \n3 \n1915370 \n1905435 Brain-Computer Interaction \n3 \n- \n3 \n1905320 \n1901444 Computational Problems and \n\n3 \n- \n3 \n1901341 \n\nTechniques \n\n1905450 Game AI \n3 \n- \n3 \n1905320 \n1905452 Software Engineering for AI-\n\n3 \n- \n3 \n1905320 and \n1902372 \n\nEnabled Systems \n\n1905453 Virtual Reality \n3 \n- \n3 \n1905322 \n1905454 Multimedia Intelligent Systems \n3 \n- \n3 \n1905320 \n1915461 Cloud Computing \n3 \n- \n3 \n1905222 and \n1901363 \n1904472 IT Project Management \n3 \n- \n3 \n1902372", "source": "AI-English (2022).pdf", "chunk_id": 22, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "1 Cloud Computing \n3 \n- \n3 \n1905222 and \n1901363 \n1904472 IT Project Management \n3 \n- \n3 \n1902372 \n1905480 Arabic Language Engineering \n3 \n- \n3 \n1905380 \n1915481 Model Deployment Frameworks \n3 \n- \n3 \n1915370 \n\n \n \n \n \n6 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\n1911489 Security Intelligence \n3 \n- \n3 \n301131 and \n1905320 \n\n1905493 Special Topics in Artificial \n\n3 \n- \n3 \n1905320 \n\nIntelligence \n\nFourth: Courses offered by other faculties and departments \n\nContact Hours \n\nCourse", "source": "AI-English (2022).pdf", "chunk_id": 23, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ntelligence \n\nFourth: Courses offered by other faculties and departments \n\nContact Hours \n\nCourse \nNumber Course Title \n\nCredit \n\nHours Pre-requisite \nTheoretical \n\nPractical \n\n1901101\n \n\nDiscrete Mathematics \n3 \n- \n3 \n- \n\n1931102\n \n\n3 \n- \n3 \nPass \nQualifications \nExam or \n1902099 \nor (1901098) \n1904101\n \n\nComputer Skills for Scientific \nFaculties \n\nFundamentals of Information \nTechnology \n\n3 \n- \n3 \n- \n\n1904120\n \n\nWeb Applications Development \n3 \n- \n3 \n1904101 \n\n1902110", "source": "AI-English (2022).pdf", "chunk_id": 24, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "hnology \n\n3 \n- \n3 \n- \n\n1904120\n \n\nWeb Applications Development \n3 \n- \n3 \n1904101 \n\n1902110\n \n\nObject-Oriented Programming \n3 \n- \n3 \n1931102 \n\n1901242\n \n\nData Structures \n3 \n- \n3 \n1931102 \n\n1902224\n \n\nDatabase Management Systems \n3 \n- \n3 \n1901233 \n\n1902390\n \n\n2 \n- \n0 \nPassing 45 \nhours \n301131 \nPrinciples of Statistics \n3 \n- \n3 \n- \n\nSeminar-Road to Software \nIndustry \n\n301101 \nCalculus-1 \n3 \n- \n3 \n- \n\n1901341 Theory of Algorithms \n3 \n- \n3 \n1901233 \n\n1901363 Computer Networks", "source": "AI-English (2022).pdf", "chunk_id": 25, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "lculus-1 \n3 \n- \n3 \n- \n\n1901341 Theory of Algorithms \n3 \n- \n3 \n1901233 \n\n1901363 Computer Networks \n3 \n- \n3 \n1901242 \n\n1911322 Information Security and Privacy \n3 \n- \n3 \n1901363 and \n1902224 \n1902353 Human-Computer Interaction \n3 \n- \n3 \n1904120 \n\n1902372 Software Engineering \n3 \n- \n3 \n1902224 \n\n \n \n \n \n7 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\n1902383 Information Technology \n\n3 \n- \n3 \n1902224 \n\nEntrepreneurship and Innovation \n\n1901444 Computational Problems and \n\n3 \n- \n3 \n1901341", "source": "AI-English (2022).pdf", "chunk_id": 26, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "1902224 \n\nEntrepreneurship and Innovation \n\n1901444 Computational Problems and \n\n3 \n- \n3 \n1901341 \n\nTechniques \n\n1904472 IT Project Management \n3 \n- \n3 \n1902372 \n\n1911489 Security Intelligence \n3 \n- \n3 \n301131 and \n1905320 \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \nFifth: Advisory Study Plan \n \n \n\n \n \n \n \n8 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\nFirst Year \n \n\nFirst Semester \nSecond Semester \n\nCourse \nNumber \nCourse Title \nCredit \nHours", "source": "AI-English (2022).pdf", "chunk_id": 27, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "rs \n\nFirst Year \n \n\nFirst Semester \nSecond Semester \n\nCourse \nNumber \nCourse Title \nCredit \nHours \n\nCourse \nNumber \nCourse Title \nCredit \nHours \n\n1931102 Computer Skills for \n\n3 \n1915101 \nLinear Algebra for \nComputational Sciences \n3 \n\nScientific Faculties \n\n1904101 \nFundamentals of \nInformation \nTechnology \n\n3 \n1901242 \nData Structures \n\n3 \n\n0301101 \nCalculus-1 \n3 \n1905120 \nIntroduction to Artificial \nIntelligence \n3 \n\n1901101 \nDiscrete Mathematics \n3 \n1904120 \nWeb Applications", "source": "AI-English (2022).pdf", "chunk_id": 28, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ction to Artificial \nIntelligence \n3 \n\n1901101 \nDiscrete Mathematics \n3 \n1904120 \nWeb Applications \nDevelopment \n3 \n\n- \nUniversity requirement \n3 \n- \nUniversity requirement \n3 \nTotal \n15 \nTotal \n15 \n \n \n \n \nSecond Year \n \n\nFirst Semester \nSecond Semester \n\nCourse \n\nCredit \n\nCourse \n\nCredit \n\nCourse Title \n\nCourse Title \n\nNumber \n\nHours \n\nNumber \n\nHours \n\n1902224 \nDatabase \nManagement Systems \n3 \n1905222 \nData Mining \n3 \n\n0301131 \nPrinciples of Statistics \n3 \n1905320 \nArtificial Intelligence", "source": "AI-English (2022).pdf", "chunk_id": 29, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "1905222 \nData Mining \n3 \n\n0301131 \nPrinciples of Statistics \n3 \n1905320 \nArtificial Intelligence \n3 \n\n1902110 \nObject-Oriented \nProgramming \n3 \n1901341 \nTheory of Algorithms \n3 \n\nKnowledge \nRepresentation and \nReasoning \n\n3 \n1905220 \nEthics of Artificial \nIntelligence and Data \nScience \n\n1905221 \n\n3 \n\n1915111 \nAI Programming \n3 \n1915370 \nMachine Learning and \nNeural Networks \n3 \n\n- \nUniversity \nrequirement \n\n3 \n- \nUniversity requirement \n3 \n\nTotal \n18 \nTotal \n18 \n\nThird Year", "source": "AI-English (2022).pdf", "chunk_id": 30, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "University \nrequirement \n\n3 \n- \nUniversity requirement \n3 \n\nTotal \n18 \nTotal \n18 \n\nThird Year \n \n\nFirst Semester \nSecond Semester \n\n \n \n \n \n9 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\nCourse \n\nCredit \n\nCourse \n\nCredit \n\nCourse Title \n\nCourse Title \n\nNumber \n\nHours \n\nNumber \n\nHours \n\n1905380 \nNatural Language \nProcessing \n\n3 \n1902372 \nSoftware Engineering \n3 \n\n1905330 \nEmbedded Systems \n3 \n1905322 \nComputer Vision \n3 \n\n1901363 \nComputer Networks \n3 \n1902353 \nHuman-Computer \nInteraction \n\n3", "source": "AI-English (2022).pdf", "chunk_id": 31, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "5322 \nComputer Vision \n3 \n\n1901363 \nComputer Networks \n3 \n1902353 \nHuman-Computer \nInteraction \n\n3 \n\n1911322 \nInformation Security \nand Privacy \n\n3 \n1905321 \nOntologies and Knowledge \nGraphs \n\n3 \n\n- \nUniversity \nrequirement \n\n3 \n1902390 \nSeminar-Road to Software \nIndustry \n\n0 \n\n- \nElective specialty \ncourse \n\n3 \n- \nUniversity requirement \n3 \n\n \n \n \n- \nElective specialty course \n3 \nTotal \n18 \nTotal \n18 \n\n \n \nFourth Year \n \n\nFirst Semester \nSecond Semester \n\nCourse \n\nCredit \n\nCourse \n\nCredit", "source": "AI-English (2022).pdf", "chunk_id": 32, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "al \n18 \n\n \n \nFourth Year \n \n\nFirst Semester \nSecond Semester \n\nCourse \n\nCredit \n\nCourse \n\nCredit \n\nCourse Title \n\nCourse Title \n\nNumber \n\nHours \n\nNumber \n\nHours \n\n1905491 Project -1 \n0 \n1905492 Project -2 \n3 \n1905490 \nTraining \n0 \n1905420 \nCognitive Science \n3 \n1905430 \nInternet of Things \n3 \n1905431 \nIntelligent Robotics \n3 \n\n- \nUniversity \nrequirement \n\n3 \n1915471 \nDeep Learning \n3 \n\n- \nUniversity \nrequirement \n\n3 \n- \nUniversity requirement \n3 \n\n \nElective specialty \ncourse \n\n3 \n-", "source": "AI-English (2022).pdf", "chunk_id": 33, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "- \nUniversity \nrequirement \n\n3 \n- \nUniversity requirement \n3 \n\n \nElective specialty \ncourse \n\n3 \n- \nElective specialty course \n \n\n3 \n\nTotal \n12 \nTotal \n18 \n\n \n*** Student can take training (1905490 with 0 credit hours) after completing 90 credit hours. \n \n \n \n \n\n \nA. Obligatory School Courses Description \n\n \nCourse Number \nCourse Title \nCredit Hours \n\n \n \n \n \n10 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\n1901101 \nDiscrete Mathematics \n3 \n\nPrerequisite: (None) \n \n \n\nCourse Description", "source": "AI-English (2022).pdf", "chunk_id": 34, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "an- Bachelors \n\n1901101 \nDiscrete Mathematics \n3 \n\nPrerequisite: (None) \n \n \n\nCourse Description \n \nThis course studies the mathematical elements of computer science and their applications. Topics \ninclude propositional logic; predicate logic; mathematical reasoning; techniques of proof; \nmathematical induction; set theory; number theory; matrices; sequences and summations; functions, \nrelations and their properties, elementary graph theory, and tree (graph theory). In each subject, its", "source": "AI-English (2022).pdf", "chunk_id": 35, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "tions and their properties, elementary graph theory, and tree (graph theory). In each subject, its \ncharacteristics, forms, ways of representing it, the operations used in it, and ways of linking these \nsubjects together are studied. Homework will be assigned. \n \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nComputer Skills for Scientific Faculties \n\n1931102 \n\n3 \n\nPrerequisite: (Pass Qualifications Exam or 1932099) \n \n \n\nCourse Description", "source": "AI-English (2022).pdf", "chunk_id": 36, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ties \n\n1931102 \n\n3 \n\nPrerequisite: (Pass Qualifications Exam or 1932099) \n \n \n\nCourse Description \nThis course studies the fundamental concepts of programming using C++. Topics includes: basic \nstructures of programming tools, like: variable names, data types, input and output statements, and \noutput formatting. Files. Selection statements structures. Repetition statements structures. \nFunctions. Enumeration datatype and strings data type. Arrays; 1D and 2D. The lectures will be", "source": "AI-English (2022).pdf", "chunk_id": 37, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": ". \nFunctions. Enumeration datatype and strings data type. Arrays; 1D and 2D. The lectures will be \nprovided in the lab through active teaching methodologies individually or within groups. \n \n \n\nCourse Number \n\nCourse Title \nFundamentals of Information Technology \n\nCredit Hours \n\n3 \nPrerequisite: (None) \n\n1904101 \n\nCourse Description \n \nThis course will introduce the fundamental knowledge of information technologies, and it works as \nan introductory course for computer-related courses.", "source": "AI-English (2022).pdf", "chunk_id": 38, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "e of information technologies, and it works as \nan introductory course for computer-related courses. It is a combination between a theoretical and \na practical course. In particular, the course provides students with a grounding knowledge on several \nareas of information technologies including cutting edge technologies, careers in IT, basic concepts \nof cloud computing and web technologies, and a general perceptive of project management.", "source": "AI-English (2022).pdf", "chunk_id": 39, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "concepts \nof cloud computing and web technologies, and a general perceptive of project management. \nStudents are also going to be introduced practically to hardware maintenance, software diagnostics \nand technical support. In addition, critical thinking methodologies and techniques will be discussed, \nincluding numbering systems, flowcharts and related case studies. Operating systems such as \nLINUX/UNIX with, memory allocation, and an introduction to networks and security, and block", "source": "AI-English (2022).pdf", "chunk_id": 40, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ch as \nLINUX/UNIX with, memory allocation, and an introduction to networks and security, and block \nchain concepts. The final part is concerned with technical applications needed such as excel, \nadvanced excel, technical writing, report generating and type writing. Technical sections will be \ntaught on lab sessions and group works. Active learning methodologies will be applied through role \nplaying, presentations and problem-solving exercises. \n \n\n \n \n \n \n11 \nQF-AQAC-02.03.1.2", "source": "AI-English (2022).pdf", "chunk_id": 41, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ugh role \nplaying, presentations and problem-solving exercises. \n \n\n \n \n \n \n11 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\nCredit Hours \n\nCourse Number \n1904120 \n\nCourse Title \nWeb Application development \n\n3 \n\nPrerequisite: (1931102) \n \n \n\nCourse Description \n \nThis course aims to improve students ability in Front-End Web applications development using \nclient-side programming such as HTML 5, Cascading Style Sheet (CSS3), JavaScript. In addition,", "source": "AI-English (2022).pdf", "chunk_id": 42, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ng \nclient-side programming such as HTML 5, Cascading Style Sheet (CSS3), JavaScript. In addition, \nthe students will learn the fundamental concepts of front-end web development frameworks such as \nBootstrap and React front-end frameworks. The course will cover the Bootstrap framework, which \nis the most popular CSS framework for creating responsive mobile-first websites. This course will \nteach you how to create pages of a website using the Bootstrap v5 framework. In addition, the course", "source": "AI-English (2022).pdf", "chunk_id": 43, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ach you how to create pages of a website using the Bootstrap v5 framework. In addition, the course \nalso covers the basic concepts of the React framework such as Communicating with Props, Class-\nBased Components, State in React Components, Lifecycle Methods, Handling User Input with \nForms and Events, Making API Requests with React, and Single Page Application Development. \nThis course uses active teaching methodologies, such as weekly lab applied sessions, group work \nand technical projects.", "source": "AI-English (2022).pdf", "chunk_id": 44, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "e teaching methodologies, such as weekly lab applied sessions, group work \nand technical projects. \n \n \n\nCredit Hours \n\nCourse Number \n1902110 \n\nCourse Title \nObject-Oriented Programming \n\n3 \n\nPrerequisite: (1931102) \n \n \n\nCourse Description \n \nThe course aims to cover the fundamental concepts of OOP, such as Encapsulation and Information-\nHiding, Inheritance, Polymorphism, and Abstraction. The course uses Java Programming language \nstarting from the basic Java syntax based on Eclipse IDE.", "source": "AI-English (2022).pdf", "chunk_id": 45, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "The course uses Java Programming language \nstarting from the basic Java syntax based on Eclipse IDE. It focuses on the understanding and \npractical mastery of OOP principles and Java components, such as classes, objects, input/output, \nscanner objects (to read either from the keyboard or a file), loops, decision-making, array and \nmultidimensional array, data abstraction, methods, method overloading, objects garbage-collector, \nan introduction to exception-handling, etc.", "source": "AI-English (2022).pdf", "chunk_id": 46, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "methods, method overloading, objects garbage-collector, \nan introduction to exception-handling, etc. Finally, it presents an introduction to JavaFX and its \nhierarchy based on Java inheritance OOP concepts, for developing rich client applications. Lectures \nwill be given in the lab for practical application. This course is assessed through exams, practical \ntests and assignments. \n \n \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nData Structures \n\n1901242 \n\n3 \n\nPrerequisite: (1902110)", "source": "AI-English (2022).pdf", "chunk_id": 47, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "urs \n\nCourse Number \n\nCourse Title \nData Structures \n\n1901242 \n\n3 \n\nPrerequisite: (1902110) \n \n\n \n \n \n \n12 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\n \nCourse Description \n \nThis course introduces the students to the concepts of data structures. Topics includes: Pointers, and \npointer operations. Array implementation of lists, stacks, and queues. Dynamic implementation of \nlists (singly, doubly, circular), stack operations and queue operations (and their implementation as \nlinked lists).", "source": "AI-English (2022).pdf", "chunk_id": 48, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "oubly, circular), stack operations and queue operations (and their implementation as \nlinked lists). STL, like: vectors, pairs, maps, sets, lists, stacks, queue. Recursion. Tree dynamic, like \nbinary search trees, segment, red-black, AVL trees. Hash Table and Collision resolution. Weekly \nlab assignments will be given to the students and to be discussed through active teaching \nmethodologies, in addition to problem-solving tasks. \n \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title", "source": "AI-English (2022).pdf", "chunk_id": 49, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "odologies, in addition to problem-solving tasks. \n \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nDatabase Management Systems \n\n1902224 \n\n3 \n\nPrerequisite: (1902110) \n \n \n\nCourse Description \n \nThe course aims to provide students with an overview of database management system architecture \nand environment, an understanding of the basic database design and implementation techniques, and \na practical experience of designing and building relational databases. Furthermore, it enables", "source": "AI-English (2022).pdf", "chunk_id": 50, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "nd \na practical experience of designing and building relational databases. Furthermore, it enables \napplying conceptual design methodologies for databases and learning about the architecture and \nenvironments of the database management system. Students will practice using database tools to \ncreate and manage database schemas systems and formulate DDL, DML commands and run SQL \nqueries. Advanced SQL topics such as creating database functions, database Stored Procedures and", "source": "AI-English (2022).pdf", "chunk_id": 51, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "queries. Advanced SQL topics such as creating database functions, database Stored Procedures and \ndatabase Triggers will be covered. Also, students will learn how to manage database privileges and \ndesign suitable security and integrity constraints for database schemas. Furthermore, the course will \nprovide the students with practice project to connect a relational DB using a programming language, \nin addition to practice using basic Oracle Forms and Oracle Reports. This course will use a", "source": "AI-English (2022).pdf", "chunk_id": 52, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "uage, \nin addition to practice using basic Oracle Forms and Oracle Reports. This course will use a \ncombination of traditional lectures, active teaching methodologies, and hands-on lab lectures. \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nLinear Algebra for Computational Sciences \n\n1915101 \n\n3 \n\nPrerequisite: (0301101) \n \n \n\n \n \n \n \n13 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\nCourse Description", "source": "AI-English (2022).pdf", "chunk_id": 53, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ite: (0301101) \n \n \n\n \n \n \n \n13 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\nCourse Description \n \nThe course uses linear algebra as one of the most important tools in applied mathematics, data \nscience, and artificial intelligence to help students learn how to handle vectors and matrices, solve \nmatrix-vector equations, perform Eigen value and Eigen vector and diagonalization analyses and use \nprincipal component analysis to do dimension reduction on real-world datasets.", "source": "AI-English (2022).pdf", "chunk_id": 54, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ion analyses and use \nprincipal component analysis to do dimension reduction on real-world datasets. It covers topics such \nas: solving systems of linear equations; matrices and matrix operations; homogeneous and non-\nhomogeneous systems; Gaussian elimination; elementary matrices and a method for finding A 1; \ndeterminants; Euclidean vector spaces; linear transformations from Rn to Rm and their properties;", "source": "AI-English (2022).pdf", "chunk_id": 55, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "determinants; Euclidean vector spaces; linear transformations from Rn to Rm and their properties; \ngeneral vector spaces; subspaces; basis; dimension; row space; column space; null space of a matrix; \nrank and nullity; and inner product spaces. All analysis will be performed in python or any similar \npopular programming language. Lectures will be given in the lab for practical application. This \ncourse is assessed through exams, practical tests and assignments. \n \n\nCredit Hours", "source": "AI-English (2022).pdf", "chunk_id": 56, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "cation. This \ncourse is assessed through exams, practical tests and assignments. \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nSeminar-Road to Software Industry \n\n1902390 \n\n3 \n\nPrerequisite: (Passing 45 hours) \n \n \n\nCourse Description \n \nIT students increasingly demand and require coverage of emerging technologies to prepare \nthemselves for subsequent employment and research. Industry and professional bodies are also", "source": "AI-English (2022).pdf", "chunk_id": 57, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "pare \nthemselves for subsequent employment and research. Industry and professional bodies are also \nconcerned that IT education does not always prepare students adequately for the world of work. This \nprofessional practice seminar course aims to contribute to solving these two issues by providing real-\nworld experiences, inspiring students to choose their career path, and exposing them to the trends,", "source": "AI-English (2022).pdf", "chunk_id": 58, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "orld experiences, inspiring students to choose their career path, and exposing them to the trends, \nmethods, and techniques that are of current interest in software industry through a weekly seminar \nseries. Professionals from software companies are invited to present different aspects of their \ncompanies and to share their first-hand experience with students. This course can enhance IT \neducation and motivate students by covering leading-edge technologies and practices. After each", "source": "AI-English (2022).pdf", "chunk_id": 59, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "T \neducation and motivate students by covering leading-edge technologies and practices. After each \nseminar, students will submit a personal evaluation and short reports relevant to the seminar s \npresentation. Attendance and participation in 8 seminars, including the evaluation of each seminar \nand the short reports are the minimum requirements to pass the course. \n \n\n \n \n \n \n14 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\nB- Obligatory Courses Description \n \n\nCredit Hours \n\nCourse Number", "source": "AI-English (2022).pdf", "chunk_id": 60, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": ".1.2 \n\nStudy Plan- Bachelors \n\nB- Obligatory Courses Description \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nPrinciples of Statistics \n\n0301131 \n\n3 \n\nPrerequisite: (None) \n \n \n\nCourse Description \n \nDescribing statistical data by tables, graphs and numerical measures, Chebychev s inequality and \nthe empirical rule, counting methods, combinations, permutations, elements of probability and \nrandom variables, the binomial, the Poisson, and the normal distributions, sampling distributions,", "source": "AI-English (2022).pdf", "chunk_id": 61, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "random variables, the binomial, the Poisson, and the normal distributions, sampling distributions, \nelements of testing hypotheses, statistical inference about one and two populations parameters \n \n \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \n\n0301101 \n\nCalculus-1 \n\n3 \n\nPrerequisite: (None) \n \n \n\nCourse Description \n \nFunctions: domain, operations on functions, graphs of functions; trigonometric functions; limits:", "source": "AI-English (2022).pdf", "chunk_id": 62, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Functions: domain, operations on functions, graphs of functions; trigonometric functions; limits: \nmeaning of a limit, computational techniques, limits at infinity, infinite limits; continuity; limits and \ncontinuity of trigonometric functions; the derivative: techniques of differentiation, derivatives of \ntrigonometric functions; the chain rule; implicit differentiation; differentials; Roll s Theorem; the", "source": "AI-English (2022).pdf", "chunk_id": 63, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "gonometric functions; the chain rule; implicit differentiation; differentials; Roll s Theorem; the \nmean value theorem; the extended mean value theorem; L Hopital s rule; increasing and decreasing \nfunctions; concavity; maximum and minimum values of a function; graphs of functions including \nrational functions (asymptotes) and functions with vertical tangents (cusps); antiderivatives; the \nindefinite integral; the definite integral; the fundamental theorem of calculus ; the area under a curve;", "source": "AI-English (2022).pdf", "chunk_id": 64, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ite integral; the definite integral; the fundamental theorem of calculus ; the area under a curve; \nthe area between two curves; transcendental functions: inverse functions, logarithmic and \nexponential functions; derivatives and integrals; limits (the indeterminate forms); hyperbolic \nfunctions and their inverses; inverse trigonometric functions. \n \n \n \n \n \n \n \n \n \n \n \n \n\n \n \n \n \n15 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nAI Programming", "source": "AI-English (2022).pdf", "chunk_id": 65, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "C-02.03.1.2 \n\nStudy Plan- Bachelors \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nAI Programming \n\n1915111 \n\n3 \n\nPrerequisite: (1931102) \n \n \n\nCourse Description \n \nThis course builds programming skills for students which is required develop and implement \napplications and algorithms of Artificial Intelligence and data science. This course will focus on \nprogramming using Python 3 https://www.python.org/. Python is high-level programming language \nlike Java, C++, or C#.", "source": "AI-English (2022).pdf", "chunk_id": 66, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Python 3 https://www.python.org/. Python is high-level programming language \nlike Java, C++, or C#. This course provides students with the required skills to solve problems by \nimplementing programs using Python. Topics include: fundamentals of Python programming, \nObject-Oriented programming using Python, Data Structures and Algorithms, and Python packages. \nThis course is a lab-based course which includes in-class practical assignments and tasks. The", "source": "AI-English (2022).pdf", "chunk_id": 67, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "s. \nThis course is a lab-based course which includes in-class practical assignments and tasks. The \ncourse will also briefly introduce other programming languages such as Lisp and Prolog. This \ncourse will use a combination of lectures, group discussions, case studies analysis, and hands-on \nwork. \n \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nIntroduction to Artificial Intelligence \n\n1905120 \n\n3 \n\nPrerequisite: (1904101) \n \n \n\nCourse Description", "source": "AI-English (2022).pdf", "chunk_id": 68, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ion to Artificial Intelligence \n\n1905120 \n\n3 \n\nPrerequisite: (1904101) \n \n \n\nCourse Description \n \nThe aim of the course is to bring to the awareness of students the different research areas and aspects \nof artificial intelligence. students will be shown (1) how to express knowledge of a simple domain \nin first-order predicate calculus and how to solve problems using explicit knowledge and reasoning, \nand how to develop an expert system.", "source": "AI-English (2022).pdf", "chunk_id": 69, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "how to solve problems using explicit knowledge and reasoning, \nand how to develop an expert system. Students will (1) be familiarized with the notion of search and \n(2) shown how to use some appropriate search techniques (blind or heuristic) for some problems. \nThe students will also be given some grounding in the principal techniques of data mining and be \nintroduced to some applications of data mining. Students will be introduced to some learning", "source": "AI-English (2022).pdf", "chunk_id": 70, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "d be \nintroduced to some applications of data mining. Students will be introduced to some learning \ntechniques to help obtain a clear picture of the concepts of machine learning. Active learning \nmethodologies will be applied through role playing, presentations and problem-solving exercises. \n \n \n \n \n \n \n \n \n \n \n\nCourse Number \n\nCourse Title \nEthics of Artificial Intelligence and Data Science \n\nCredit Hours \n\n1905220 \n\n \n \n \n \n16 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\n3", "source": "AI-English (2022).pdf", "chunk_id": 71, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Data Science \n\nCredit Hours \n\n1905220 \n\n \n \n \n \n16 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\n3 \n\nPrerequisite: (1905120) \n \n \n\nCourse Description \n \n\nThis course focuses on ethical issues in computing special in Artificial Intelligence (AI) and Data \nScience (DS). The main themes are privacy, fairness/bias, and explainability in AI and DS. The \nobjectives are to learn how to identify and measure these aspects in the outputs of algorithms, and", "source": "AI-English (2022).pdf", "chunk_id": 72, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "bjectives are to learn how to identify and measure these aspects in the outputs of algorithms, and \nhow to build algorithms that correct these issues. The course will follow a case-study-based \napproach, where we will examine these aspects by considering real-world case studies for each of \nthese ethical issues. It is intended to give students a chance to reflect on the ethical, social, and \ncultural impact of AI by focusing on the issues faced by and brought about by professionals in AI", "source": "AI-English (2022).pdf", "chunk_id": 73, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "cultural impact of AI by focusing on the issues faced by and brought about by professionals in AI \nbut also by citizens, institutions, and societies. Specific topics addressed in the course include the \ntechnical, safety-related, and economic implications of AI-enabled automation. Specific sub-areas \ninclude transportation, manufacturing, journalism, legal advising, and military applications; AI-\nendowed advisory tools in areas such as environmental and resource planning; biases and", "source": "AI-English (2022).pdf", "chunk_id": 74, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "tions; AI-\nendowed advisory tools in areas such as environmental and resource planning; biases and \nmediocrities in AIs, which can reinforce human prejudice. Furthermore, this course covers ethical \nwriting through many practical skills including referencing styles, citation (i.e., Endnote, Mendeley, \nRefWorks, and Zotero), quotation, and also through the awareness of the good document \nrequirements, plagiarism forms, copyrights, fair use, creative commons, and intellectual property \nrights.", "source": "AI-English (2022).pdf", "chunk_id": 75, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ements, plagiarism forms, copyrights, fair use, creative commons, and intellectual property \nrights. This course will use a combination of lectures, class discussions, reading and writing \nassignments, case studies analysis, and hands-on work. \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nKnowledge Representation and Reasoning \n\n1905221 \n\n3 \n\nPrerequisite: (1905120) \n \n \n\nCourse Description \n \nIn this course, we discuss the formalization of knowledge and its processing within machines. We", "source": "AI-English (2022).pdf", "chunk_id": 76, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "In this course, we discuss the formalization of knowledge and its processing within machines. We \nshall show how to design and develop computer systems (Knowledge-based systems) that can draw \nconclusions (using reasoning), similar to human reasoning where knowledge is represented in a \nmachine-interpretable form. We shall examine many knowledge representation formalisms such as \nsemantic networks, rule systems, classical logic (Resolution proofs), and description logic. We shall", "source": "AI-English (2022).pdf", "chunk_id": 77, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "antic networks, rule systems, classical logic (Resolution proofs), and description logic. We shall \nalso show how to deal with incomplete information using defeasible reasoning. This course will use \na combination of lectures, class discussions, reading and writing assignments, case studies analysis, \nand hands-on work. \n \n\n \n \nCourse Number \n\nCourse Title \nData Mining \n\nCredit Hours \n\n1905222 \n\n \n \n \n \n17 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\n3 \n\nPrerequisite: (1902224)", "source": "AI-English (2022).pdf", "chunk_id": 78, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "1905222 \n\n \n \n \n \n17 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\n3 \n\nPrerequisite: (1902224) \n \n \n\nCourse Description \n \nThis course provides the students with an introduction to data mining and knowledge discovery \n(KDD). The course will focus on issues relating to the feasibility, usefulness, effectiveness, and \nscalability of techniques for the discovery of patterns hidden in large data sets. The students will", "source": "AI-English (2022).pdf", "chunk_id": 79, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "alability of techniques for the discovery of patterns hidden in large data sets. The students will \nlearn the basic concepts of data pre-processing, frequent pattern mining and association rules, \nsequential patterns, and sub-graph patterns; and explore their applications, Classification methods, \nsuch as decision trees, k-nearest neighbour, and Na ve Bayes, ensemble learning methods such as \nrandom forest etc., outlier detection methods, such as Simple Statistical Methods and local outlier", "source": "AI-English (2022).pdf", "chunk_id": 80, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ndom forest etc., outlier detection methods, such as Simple Statistical Methods and local outlier \nfactor (LOF), cluster analysis techniques, such as k-means, hierarchical methods, and density-based \nmethods. Active learning methodologies will be applied through role playing, presentations and \nproblem-solving exercises. \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nArtificial Intelligence \n\n1905320 \n\n3 \n\nPrerequisite: (1901242) \n \n \n\nCourse Description", "source": "AI-English (2022).pdf", "chunk_id": 81, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Title \nArtificial Intelligence \n\n1905320 \n\n3 \n\nPrerequisite: (1901242) \n \n \n\nCourse Description \n \nThe aim of the course is to enable students to solve problems using explicit knowledge and \nreasoning techniques and to develop expert systems for simple problems. Students will be able (1) \nto express knowledge of a simple domain in propositional and/or first-order predicate calculus, (2) \nto design and develop expert solutions to simple problems where AI techniques can be employed,", "source": "AI-English (2022).pdf", "chunk_id": 82, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "2) \nto design and develop expert solutions to simple problems where AI techniques can be employed, \nand (3) to write simple programs in Prolog that reason about the available knowledge to achieve \ntheir goals. Furthermore, students will learn some simple blind and heuristic search algorithms such \nas depth-first, breadth-first, best-first, hill climbing, and simulated annealing and techniques on how \nto control search using production systems.", "source": "AI-English (2022).pdf", "chunk_id": 83, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "climbing, and simulated annealing and techniques on how \nto control search using production systems. They will also have the ability to decide the appropriate \nsearch techniques (blind or heuristic) for some problems. The students will also be given some \ngrounding in the principal techniques of data mining and be introduced to some applications of data \nmining. Students will be introduced to some learning techniques to help obtain a clear picture of the \nconcepts of machine learning.", "source": "AI-English (2022).pdf", "chunk_id": 84, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ced to some learning techniques to help obtain a clear picture of the \nconcepts of machine learning. This course will use a combination of lectures, class discussions, \nreading and writing assignments, case studies analysis, and hands-on work. \n \n \n\n \n \n \n \n \nCourse Number \n\nCourse Title \nOntologies and Knowledge Graphs \n\nCredit Hours \n\n1905321 \n\n \n \n \n \n18 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\nPrerequisite: (1905221) \n3 \nCourse Description", "source": "AI-English (2022).pdf", "chunk_id": 85, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "18 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\nPrerequisite: (1905221) \n3 \nCourse Description \n \nThe course will introduce knowledge graphs and compare them to other data models such as RDMS \nand File Systems. Approaches for representing relational databases to knowledge graphs will be \npresented. The course will introduce the main architecture of the Semantic Web and the notion of \nLinked Data. It will also demonstrate the knowledge representation formalisms and how it is used", "source": "AI-English (2022).pdf", "chunk_id": 86, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Linked Data. It will also demonstrate the knowledge representation formalisms and how it is used \nfor constructing knowledge graph. Ontology engineering principles Will be presented. The course \nwill demonstrate methods and methodologies for ontology evaluation. Students will be presented \nwith practical knowledge of applying ontology engineering methodology in a specific context. The \nRDF data model will be presented and how it differs from RDFS and OWL. SPARQL query", "source": "AI-English (2022).pdf", "chunk_id": 87, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "context. The \nRDF data model will be presented and how it differs from RDFS and OWL. SPARQL query \nlanguage will be presented and learned. Active learning methodologies will be applied through role \nplaying, presentations and problem-solving exercises. \n \n\n \n \nCourse Number \n\nCourse Title \nComputer Vision \n\nCredit Hours \n\n1905322 \n\nPrerequisite: (1915370) \n3 \nCourse Description \n \nThis course introduces the students to the fundamental techniques and concepts of computer vision", "source": "AI-English (2022).pdf", "chunk_id": 88, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "This course introduces the students to the fundamental techniques and concepts of computer vision \nand image processing. This course will cover the following topics: image formation and \nrepresentation, image enhancement in spatial and frequency domain, image morphological \nprocessing, image registration, edge detection and segmentation, feature detection and matching, \nobject recognition and classification, object detection and tracking, 3D vision, and application to", "source": "AI-English (2022).pdf", "chunk_id": 89, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "bject recognition and classification, object detection and tracking, 3D vision, and application to \nmodels of human and machine vision. This course will use a combination of lectures, class \ndiscussions, reading and writing assignments, case studies analysis, and hands-on work. Practical \nhands-on computer vision best practices will be given in Lab weekly. \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nEmbedded Systems \n\n1905330 \n\n3 \n\nPrerequisite: (1901242 and 1905320)", "source": "AI-English (2022).pdf", "chunk_id": 90, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "e Number \n\nCourse Title \nEmbedded Systems \n\n1905330 \n\n3 \n\nPrerequisite: (1901242 and 1905320) \n \n \n\nCourse Description \n \nThe course aims to introduce students to basic logic design system, logic gates, combinational and \nsequential logic circuits. Then basic input and output devices, after that microcontroller-based \nembedded systems design, development and implementation with focus on real-time applications. \nTopics to be covered include, basic logic design, basic input and output systems.", "source": "AI-English (2022).pdf", "chunk_id": 91, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ime applications. \nTopics to be covered include, basic logic design, basic input and output systems. Embedded system \ntypes, microcontroller architecture, programming (Embedded C), interrupt management and other \nrelated topics. This course will use a combination of lectures, class discussions, reading and writing \n\n \n \n \n \n19 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\nassignments, case studies analysis, and hands-on work. Practical hands-on computer vision best", "source": "AI-English (2022).pdf", "chunk_id": 92, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "assignments, case studies analysis, and hands-on work. Practical hands-on computer vision best \npractices will be given in Lab weekly. \n \n\n \nCourse Number \n\nCourse Title \nNatural Languages Processing \n\nCredit Hours \n\n1905380 \n\nPrerequisite: (1905320) \n3 \nCourse Description \n \nThe aim of the course is to introduce students to the concepts of Natural Language Processing and \nits applications. It discusses linguistic theories and computational techniques. The course covers the", "source": "AI-English (2022).pdf", "chunk_id": 93, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "applications. It discusses linguistic theories and computational techniques. The course covers the \ntopics of Origins of Natural Language Processing (NLP); Language structure representation; The \nrole of knowledge; Knowledge representation; Parsing techniques; Finite-state techniques; \nRecursive and augmented transition networks; Language ambiguity; Well-Formed constructs; \nFeatures and the lexicon; Language semantics; and Applications. Examples of NLP applications", "source": "AI-English (2022).pdf", "chunk_id": 94, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "cts; \nFeatures and the lexicon; Language semantics; and Applications. Examples of NLP applications \nthat are covered by this course include; machine translation, information retrieval, text \nsummarization, reference resolution, question answering, parsing, sense disambiguation, \nmorphological analysis, speech analysis and synthesis. Active learning methodologies will be \napplied through role playing, presentations and problem-solving exercises. Moreover, hands-on", "source": "AI-English (2022).pdf", "chunk_id": 95, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "be \napplied through role playing, presentations and problem-solving exercises. Moreover, hands-on \npractice on using NLTK (Natural Language Toolkit) is weekly practiced in the lab. In addition, \nguest speakers belonging to the Jordan s ICT will demonstrate state-of-the-art practices and \napplication of NLP. \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nTheory of Algorithms \n\n1901341 \n\n3 \n\nPrerequisite: (1901242) \n\nCourse Description", "source": "AI-English (2022).pdf", "chunk_id": 96, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Course Title \nTheory of Algorithms \n\n1901341 \n\n3 \n\nPrerequisite: (1901242) \n\nCourse Description \n \nThe main goal of this course is to introduce complexity analysis of algorithms with an emphasis on \nefficient design techniques for solving various computational problems. Topics include complexity \nanalysis including big O, big omega, and big theta notations. Recurrence equations and recursive \nalgorithms. Algorithm design techniques include sequential, divide-and-conquer, greedy, and", "source": "AI-English (2022).pdf", "chunk_id": 97, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "rsive \nalgorithms. Algorithm design techniques include sequential, divide-and-conquer, greedy, and \ndynamic programming. Sorting algorithms include insertion sort, merge sort, heap sort, and \nquicksort. Searching algorithms include breadth-first search and depth-first search. Graph-based \nalgorithms including Kruskal s algorithm. Optimization problems include minimum spanning tree \nand multistage graph problems. The assessment of this course is through exams, quizzes, and \nassignments.", "source": "AI-English (2022).pdf", "chunk_id": 98, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "graph problems. The assessment of this course is through exams, quizzes, and \nassignments. \n \n\n \n \n \nCourse Number \n\nCourse Title \nComputer Networks \n\nCredit Hours \n\n1901363 \n\n \n \n \n \n20 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\n3 \n\nPrerequisite: (1901242) \n \n \n\nCourse Description \n \nThis course explores key concepts and essential technologies of computer networks and broad range \nof topics in networking. It includes general overview, networks applications, network classifications", "source": "AI-English (2022).pdf", "chunk_id": 99, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "topics in networking. It includes general overview, networks applications, network classifications \nand topologies, network layers, channel performance measures, transmission media, \ncommunication network protocols and architecture; Data link layer: framing, error detection and \ncorrection, CSMA/CD, LAN IEEE standards; Network layer: IP service model, IP addressing, \nsubnetting, host configuration DHCP, ARP Protocol, ICMP protocol; Transport layer: UDP", "source": "AI-English (2022).pdf", "chunk_id": 100, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ddressing, \nsubnetting, host configuration DHCP, ARP Protocol, ICMP protocol; Transport layer: UDP \nprotocol, TCP protocol, TCP reliable transfer and sliding window, TCP flow and congestion \ncontrol; Application layer: DNS protocol, NAT protocol, HTTP protocol, persistent and non-\npersistent HTTP connection. Weekly practice in the lab through active teaching methodologies. \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nInformation Security and Privacy \n\n1932322 \n\n3", "source": "AI-English (2022).pdf", "chunk_id": 101, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": ". \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nInformation Security and Privacy \n\n1932322 \n\n3 \n\nPrerequisite: (1901363 and 1902224) \n \n \n\nCourse Description \n\nThis course introduces information security and privacy. The course covers topics related to \ncryptography such as symmetric and asymmetric encryptions, hash functions, digital signatures, key \nmanagement, and public key infrastructures. Also, the course covers topics related to network", "source": "AI-English (2022).pdf", "chunk_id": 102, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "key \nmanagement, and public key infrastructures. Also, the course covers topics related to network \nsecurity as packet sniffing, spoofing, TLS, IPSec, Firewalls, and wireless network security. \nFurthermore, topics related to Authentication, Authorization, Web security and Steganography will \nbe covered. Risk analysis and ethics, and their applications to the development of a secure healthcare \nsystems as a case study will be presented. Practical hands-on will be provided. \n\n \n \nCourse Number", "source": "AI-English (2022).pdf", "chunk_id": 103, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "stems as a case study will be presented. Practical hands-on will be provided. \n\n \n \nCourse Number \n\nCourse Title \nHuman Computer Interaction \n\nCredit Hours \n\n1902353 \n\nPrerequisite: (1904120 ) \n3 \nCourse Description \n \nThis course aims to introduce various Human Computer Interaction related topics. This course \nexplains the components and steps of designing, developing, and evaluating interactive computer \nsystems for human use.", "source": "AI-English (2022).pdf", "chunk_id": 104, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ents and steps of designing, developing, and evaluating interactive computer \nsystems for human use. It also addresses the importance of Ergonomics, interaction design and its \nactivities, data gathering and analysis, prototyping, evaluation paradigms and techniques universal \ndesign principles, and Non-traditional interfaces of all kinds. It also highlights the steps of designing \ngraphical user interfaces to achieve usability and user experience in interactive systems. The course", "source": "AI-English (2022).pdf", "chunk_id": 105, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "phical user interfaces to achieve usability and user experience in interactive systems. The course \nalso presents the need to adopt ideas that serve users with special needs and impairments. The \ncontent of the course enables students to deploy interaction design principles into health-related \n\n \n \n \n \n21 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\napplications (healthcare and patient management), where students are required to show the", "source": "AI-English (2022).pdf", "chunk_id": 106, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "helors \n\napplications (healthcare and patient management), where students are required to show the \ninteraction design activities, prototyping, evaluation paradigms and techniques, and universal \ndesign principles in the project, which is considered one of the most important outcomes of the \ncourse where students apply everything they have learned in this course. \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nSoftware Engineering \n\n1902372 \n\n3 \n\nPrerequisite: (1902224) \n\nCourse Description", "source": "AI-English (2022).pdf", "chunk_id": 107, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Course Title \nSoftware Engineering \n\n1902372 \n\n3 \n\nPrerequisite: (1902224) \n\nCourse Description \n \nThis course aims is to present software engineering as a body of knowledge. The course is designed \nto present software engineering concepts and principles in parallel with the Software Development \nLife Cycle (SDLC). The course will begin with an introduction to software engineering, giving \nstudents a definition of this body of knowledge, as well as a discussion of the main methodologies", "source": "AI-English (2022).pdf", "chunk_id": 108, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "students a definition of this body of knowledge, as well as a discussion of the main methodologies \nof software engineering including agile methods i.e., XP. Students will then learn about the five \nmajor phases of the SDLC: requirements gathering and analysis, design, coding/implementation, \nvalidation, and evolution. This includes software modelling using Unified Modelling Language \n(UML), a standardized general-purpose modelling language used to create visual models of object-", "source": "AI-English (2022).pdf", "chunk_id": 109, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "e \n(UML), a standardized general-purpose modelling language used to create visual models of object-\noriented software, for requirements gathering and analysis, and design. Students will also learn \nabout project management and quality management for the purpose of delivering high-quality \nsoftware that satisfies customer needs and is within budget and schedule. Delivery will be by in-\nclass lectures, recorded lectures, practical sessions in the lab, case studies from different domains \n(i.e.", "source": "AI-English (2022).pdf", "chunk_id": 110, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ctures, recorded lectures, practical sessions in the lab, case studies from different domains \n(i.e., healthcare domain), and assignments. Assignments will include a term project illustrative of \nprofessional practice in developing computer information systems. One or two guest speakers with \nmany years of experience in software engineering will be invited to share their first-hand experience \nwith students. \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nMachine Learning and Neural networks", "source": "AI-English (2022).pdf", "chunk_id": 111, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "h students. \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nMachine Learning and Neural networks \n\n1915370 \n\n3 \n\nPrerequisite: (1905222) \n \n \n\nCourse Description \n \nThis course will help students to develop basic understanding of principles of learning theory, \ntheoretical and mathematical foundations of the machine learning and derive practical solutions \nusing predictive analytics. In addition, it explains what machine learning is and how it is related to \nstatistics and data analysis.", "source": "AI-English (2022).pdf", "chunk_id": 112, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "dition, it explains what machine learning is and how it is related to \nstatistics and data analysis. The class will cover topics in regression, classification, mixture models, \nneural networks, basic deep learning, ensemble methods and reinforcement learning, hidden \nMarkov models, and Bayesian networks, generative/discriminative learning, parametric/non-\nparametric learning, support vector machines, unsupervised learning, expectation maximization, \n\n \n \n \n \n22 \nQF-AQAC-02.03.1.2", "source": "AI-English (2022).pdf", "chunk_id": 113, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "vector machines, unsupervised learning, expectation maximization, \n\n \n \n \n \n22 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\ndimensionality reduction, and kernel methods. The course will also discuss recent applications of \nmachine learning, autonomous navigation, bioinformatics, speech recognition, and text and web \ndata processing. Delivery will combine traditional lectures with other active teaching", "source": "AI-English (2022).pdf", "chunk_id": 114, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "xt and web \ndata processing. Delivery will combine traditional lectures with other active teaching \nmethodologies, such as group discussions, group solving problems, analysis of cases and debates, \ncase study from different domains, and assignments. \n\n \n \nCourse Number \n\nCourse Title \nCognitive Science \n\nCredit Hours \n\n1905420 \n\nPrerequisite: (1905320) \n3 \nCourse Description \n \nThe course introduces the main terms and foundations of cognitive science and aims to understand", "source": "AI-English (2022).pdf", "chunk_id": 115, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "The course introduces the main terms and foundations of cognitive science and aims to understand \nthe relationship between the computer and the human mind. The main goal is to simulate human \nprocesses in a computerized model. Using self-learning algorithms that use data mining, pattern \nrecognition and natural language processing, the computer can mimic the way the human brain \nworks. Active learning methodologies will be applied through role playing, presentations and", "source": "AI-English (2022).pdf", "chunk_id": 116, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "rain \nworks. Active learning methodologies will be applied through role playing, presentations and \nproblem-solving exercises. \n \n\n \n \nCourse Number \n\nCourse Title \nInternet of Things \n\nCredit Hours \n\n1905430 \n\nPrerequisite: (1905320 and 1901363) \n3 \nCourse Description \n \nInternet-of-Things (IoT) course aims at preparing students to the IoT market, given the increasing \ndemand for professionals on this hot emerging area. The course presents the latest IoT applications,", "source": "AI-English (2022).pdf", "chunk_id": 117, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "mand for professionals on this hot emerging area. The course presents the latest IoT applications, \ndevices, technologies, architecture, communication protocols and trends. IoT middleware/streaming \napplications used in IoT will be reviewed. IoT challenges including cybersecurity challenges, skills \nneeded and best practices will also be covered. Part of the course will deal with developing real-\nworld IoT applications/mobile application prototypes from the sensor design to the end-user", "source": "AI-English (2022).pdf", "chunk_id": 118, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "real-\nworld IoT applications/mobile application prototypes from the sensor design to the end-user \napplications to solve existing problems in the society. Moreover, the course utilizes artificial \nIntelligence algorithms to build models and large scale systems to solve problems such as telco \nmanagement, intelligent transportation, urban planning, real time crowd management, retail \nintelligence, and industry 4.0 using telco and other data sources. It also introduces typical", "source": "AI-English (2022).pdf", "chunk_id": 119, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ail \nintelligence, and industry 4.0 using telco and other data sources. It also introduces typical \napplication scenarios in which IoT provides innovative new services to enhance productivity and \nsave costs. Active learning methodologies will be applied through role playing, presentations and \nproblem-solving exercises. Moreover, hands-on practice on developing real-world IoT applications \nwill be weekly practiced in the lab. In addition, guest speakers belonging to the Jordan s ICT will", "source": "AI-English (2022).pdf", "chunk_id": 120, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ill be weekly practiced in the lab. In addition, guest speakers belonging to the Jordan s ICT will \ndemonstrate state-of-the-art practices and application of IoT. \n \n\n \n \n \nCourse Number \nCourse Title \nCredit Hours \n\n \n \n \n \n23 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\n1905431 \nIntelligent Robotics \n3 \n\nPrerequisite: (1905330) \n\nCourse Description \n \nThe aim of this course is to introduce students to the basic principles of robotics. It covers the", "source": "AI-English (2022).pdf", "chunk_id": 121, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "The aim of this course is to introduce students to the basic principles of robotics. It covers the \nassembly, programming, and control of a simple robot. Students are expected to (1) know and \nunderstand key concepts relating to robots and robotics systems, (2) identify examples of robots, \n(3) identify the main parts of a robot and their function, including microcontrollers, actuators, \nsensors, and power sources, (4) understand the elements of a simple control system, and test a", "source": "AI-English (2022).pdf", "chunk_id": 122, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "s, \nsensors, and power sources, (4) understand the elements of a simple control system, and test a \ncontrol system, (5) understand basic programming concepts, and create and execute a program, and \n(6) set up a robot, implement robotic motion, and control a robot in an environment. Active learning \nmethodologies will be applied through role-playing, presentations and problem-solving exercises. \nMoreover, hands-on practice on developing real-world IoT applications will be weekly practiced in", "source": "AI-English (2022).pdf", "chunk_id": 123, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Moreover, hands-on practice on developing real-world IoT applications will be weekly practiced in \nthe lab. In addition, guest speakers belonging to the Jordan s ICT will demonstrate state-of-the-art \npractices and robot development. \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nDeep Learning \n\n1915471 \n\n3 \n\nPrerequisite: (1915370) \n \n \n\nCourse Description \n \nThis course will introduce students to the concept of Deep learning, and it will help students to \nunderstand its key principles.", "source": "AI-English (2022).pdf", "chunk_id": 124, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "udents to the concept of Deep learning, and it will help students to \nunderstand its key principles. The course covers feed-forward neural networks, convolutional \nneural networks, recurrent neural network, deep reinforcement learning, and other fundamental \nconcepts and techniques. This course will also teach the students the mathematical foundation \nunderlying deep learning. It is expected by the end of the course, students will be able to build, train", "source": "AI-English (2022).pdf", "chunk_id": 125, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ying deep learning. It is expected by the end of the course, students will be able to build, train \nand apply fully connected deep neural networks, and to know how to implement efficient deep \nneural networks using the most popular libraries for Deep Learning such as Keras, PyTorch, and \nTensorFlow. The course will introduce students also to a wide spectrum of deep learning \napplications in real-word problems. Delivery will combine traditional lectures with other active", "source": "AI-English (2022).pdf", "chunk_id": 126, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "applications in real-word problems. Delivery will combine traditional lectures with other active \nteaching methodologies, such as group discussions, group solving problems, analysis of cases and \ndebates, case study from different domains, and assignments. \n \n\n \n \n \n \n \n \nCourse Number \n\nCourse Title Training \nCredit Hours \n\n1905490 \n\n \n \n \n \n24 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\nPrerequisite: (Success 90 hours) \n0 \nCourse Description", "source": "AI-English (2022).pdf", "chunk_id": 127, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "F-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\nPrerequisite: (Success 90 hours) \n0 \nCourse Description \nA student is required toِ training in one of related organisations for not less than 6 weeks, and \npresents a report from the organization to describe the effectiveness of the practice according to the \ntraining regulations of Dean s council for KASIT Departments. Or have a specialized certificate in \none of the technological information subjects that is considered and published from a certified", "source": "AI-English (2022).pdf", "chunk_id": 128, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "n \none of the technological information subjects that is considered and published from a certified \norganization. \n\n \n \nCourse Number \n\nCourse Title \n\nCredit Hours \n\n1905491 \n\nProject -1 \n\nPrerequisite: (Success 90 hours) \n0 \nCourse Description \nThe graduation project provides a unique opportunity for students in Artificial Intelligence program \nto apply their knowledge of the foundations, theory and methods of AI and software development \nto address and provide solutions (i.e.", "source": "AI-English (2022).pdf", "chunk_id": 129, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "undations, theory and methods of AI and software development \nto address and provide solutions (i.e., developing software applications) to problems in industry, \ngovernment and the non-profit sector and other areas. The course activities focus on a two semester-\nlength project sponsored by a local organization if available. Typically, two to four students work \ntogether as a team on each graduation project. Each team is supervised by a faculty mentor and", "source": "AI-English (2022).pdf", "chunk_id": 130, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "rk \ntogether as a team on each graduation project. Each team is supervised by a faculty mentor and \nprojects typically progress through several phases. This course includes the first stage of the \ngraduation project where the student(s) should define, analyze the problem, and finally write a \nproposal. Then to present it to a predetermined committee in the department. It includes weekly \nmeetings with the supervisors. \n\n \n \nCourse Number \n\nCourse Title \n\nCredit Hours \n\n1905492 \n\nProject -2", "source": "AI-English (2022).pdf", "chunk_id": 131, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "s with the supervisors. \n\n \n \nCourse Number \n\nCourse Title \n\nCredit Hours \n\n1905492 \n\nProject -2 \n\nPrerequisite: (1905491) \n3 \n\nCourse Description \nThis is the second stage of the graduation project which includes the practical aspects which are \ndesign, implementation and testing for the resulting project. Documentation of the whole project \nshould be delivered to the department and the supervisor(s) and a presentation is done for the whole \nproject at the end of the semester.", "source": "AI-English (2022).pdf", "chunk_id": 132, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "and the supervisor(s) and a presentation is done for the whole \nproject at the end of the semester. It includes weekly meetings with the supervisors. \n\n \n \n \n \n \n \n \n \n \nC. Elective Specialty Courses Description \n \n\nCourse Number \nCourse Title \nCredit Hours \n\n \n \n \n \n25 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\n1905310 \nAdvanced AI programming \n3 \n\nPrerequisite: (1915111) \n \n \n\nCourse Description \n \nThis course will focus on understanding of how to perform Machine Learning with Python.", "source": "AI-English (2022).pdf", "chunk_id": 133, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "scription \n \nThis course will focus on understanding of how to perform Machine Learning with Python. In this \ncourse, student will learn to understand and format problems to be solved using ML techniques. \nThey will also gain knowledge representation skills for preparing data to be used in prediction tasks \nand they will acquire expertise in creating models by combing the data with algorithms in that can \npredict the future.", "source": "AI-English (2022).pdf", "chunk_id": 134, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "re expertise in creating models by combing the data with algorithms in that can \npredict the future. Students will learn how to use Python and libraries such as it scikit-learn to create \nMachine Learning solutions. This course will cover an introduction to ML and applications, setting \nup a Python development environment correctly, complete machine learning tool sets, the various \nregression, classification and other ML algorithms performance metrics such as R-squared, MSE,", "source": "AI-English (2022).pdf", "chunk_id": 135, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "us \nregression, classification and other ML algorithms performance metrics such as R-squared, MSE, \naccuracy, confusion matrix, precision, recall, etc., unsupervised Machine Learning (ML) algorithms \nsuch as Hierarchical clustering, k-means clustering etc., Jupyter (IPython) notebook, Spyder and \nvarious IDE, Communicating visually and effectively with Matplotlib and Seaborn, using of \ntrain/test, K-fold and Stratified K-fold cross validation to select correct model and predict model", "source": "AI-English (2022).pdf", "chunk_id": 136, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "rain/test, K-fold and Stratified K-fold cross validation to select correct model and predict model \nperform with unseen data, and much more. Active learning methodologies will be applied through \nrole-playing, presentations and problem-solving exercises. Moreover, hands-on practice on \ndeveloping real-world applications will be weekly practiced in the lab. \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nBioinformatics \n\n1915241 \n\n3 \n\nPrerequisite: (1905222) \n \n \n\nCourse Description", "source": "AI-English (2022).pdf", "chunk_id": 137, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Course Title \nBioinformatics \n\n1915241 \n\n3 \n\nPrerequisite: (1905222) \n \n \n\nCourse Description \n \nThis course explores how the integration of computer science, statistics and mathematics knowledge \ncan be used to tackle complex life sciences problems. It covers several topics like: general genomics, \ncells and DNA sequence features; sequence alignment; sequence motifs; search sequence databases; \nphylogenetic trees; Hidden Markov Models, and microarray data analysis: normalization and", "source": "AI-English (2022).pdf", "chunk_id": 138, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "abases; \nphylogenetic trees; Hidden Markov Models, and microarray data analysis: normalization and \nclustering; other emerging topics. Active learning methodologies will be applied through role-\nplaying, presentations and problem-solving exercises. The students are required to present case \nstudies on one of the related topics. \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nApplied Statistics \n\n1915251 \n\n3 \n\nPrerequisite: (0301131) \n\n \n \n \n \n26 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors", "source": "AI-English (2022).pdf", "chunk_id": 139, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "s \n\n1915251 \n\n3 \n\nPrerequisite: (0301131) \n\n \n \n \n \n26 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\nCourse Description \n \nThis course is an introduction to practical applied statistics with R, a programming language and \nsoftware environment for statistical computing, and with RStudio, an integrated development \nenvironment for R. Topics include introduction to R programming, summarizing data, probability", "source": "AI-English (2022).pdf", "chunk_id": 140, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "nt \nenvironment for R. Topics include introduction to R programming, summarizing data, probability \nand statistics in R, simple and multiple linear regression, categorical predictors and interactions, \nmodel diagnostics, collinearity, variable selection and model building, selected data analyses. The \ncourse graphically introduces those concepts utilizing R as a programming environment for applying \nstatistical/probabilistic methods and techniques.", "source": "AI-English (2022).pdf", "chunk_id": 141, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "izing R as a programming environment for applying \nstatistical/probabilistic methods and techniques. This course is a practical course and will contain \nsmall projects and programming assignments for specific problems using R programming language. \n\n \n \nCourse Number \n\nCourse Title \nUser Adaptive Systems \n\nCredit Hours \n\n1905323 \n\nPrerequisite: (1905320 and 1902353) \n3 \nCourse Description \n \nThe course applies machine learning techniques to identify user needs, draw requirements, design,", "source": "AI-English (2022).pdf", "chunk_id": 142, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "The course applies machine learning techniques to identify user needs, draw requirements, design, \nand evaluate user-adaptive systems. It also aims to introduce common techniques for user modelling \nand adaptation and apply them in practical recommender systems. Students will be presented with \nsimilarity metrics that can be applied in different contexts. Also, the course will show how a \ngenerated user model can be used in systems to adapt individual users or to groups of users.", "source": "AI-English (2022).pdf", "chunk_id": 143, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ow a \ngenerated user model can be used in systems to adapt individual users or to groups of users. \nGenerated user models can be used for adapting hypermedia systems based to users interests, needs \npreferences etc. Active learning methodologies will be applied through role-playing, presentations \nand problem-solving exercises. Moreover, hands-on practice on developing and modelling a user \nadaptive system will be weekly practiced in the lab. \n\nCredit Hours \n\nCourse Number \n\nCourse Title", "source": "AI-English (2022).pdf", "chunk_id": 144, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "adaptive system will be weekly practiced in the lab. \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nNoSQL Databases \n\n1915331 \n\n3 \n\nPrerequisite: (1902224) \n \n \n\nCourse Description \n\nThis course explores the origins of NoSQL databases and the characteristics that distinguish them \nfrom traditional relational database management systems. Core concepts of NoSQL databases will \nbe presented, followed by an exploration of how different database technologies implement these \ncore concepts.", "source": "AI-English (2022).pdf", "chunk_id": 145, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "d, followed by an exploration of how different database technologies implement these \ncore concepts. It gives a closer look at 1-2 databases from each of the four main NoSQL data models \n(key-value, column family, document, and graph), highlighting the business needs that drive the \ndevelopment and use of each database. This course will introduce some examples of NoSQL \ndatabases such as Cassandra, MongoDB, Apache Hive, HBase, and Neo4j. Finally, it presents", "source": "AI-English (2022).pdf", "chunk_id": 146, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "f NoSQL \ndatabases such as Cassandra, MongoDB, Apache Hive, HBase, and Neo4j. Finally, it presents \ncriteria that decision makers should consider when choosing between relational and non-relational \ndatabases and techniques for selecting the NoSQL database that best addresses specific use cases. \nThe course contains a practical application on NoSQL databases through small projects and weekly \nassignments. \n\n \n \n \n \n27 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\nCredit Hours \n\nCourse Number", "source": "AI-English (2022).pdf", "chunk_id": 147, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ssignments. \n\n \n \n \n \n27 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\nCredit Hours \n\nCourse Number \n1915341 \n\nCourse Title \nSocial Network Analysis \n\n3 \n\nPrerequisite: (1915222 and 1901341) \n \n \n\nCourse Description \n \nThis course gives a basic understanding of what social network analysis is and how it can be applied. \nThe course will cover recent information on the structure and analysis of large social and", "source": "AI-English (2022).pdf", "chunk_id": 148, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "plied. \nThe course will cover recent information on the structure and analysis of large social and \ninformation networks and on models and algorithms that abstract their basic properties. In this \ncourse student will learn about social networks structure and evolution, and how to practically \nanalyze large-scale network data and how to reason about it. Topics covered in this course includes \ngraph theory, link prediction, recommendation systems, graph mining, network community", "source": "AI-English (2022).pdf", "chunk_id": 149, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "e includes \ngraph theory, link prediction, recommendation systems, graph mining, network community \ndetection, graph visualization, graph data science, information propagation on the web, and \nconnections with work in the social sciences and economics. \n \n\n \n \nCourse Number \n\nCourse Title \nKnowledge Graphs Technologies and Applications \n\nCredit Hours \n\n1905350 \n\nPrerequisite: (1905321) \n3 \nCourse Description", "source": "AI-English (2022).pdf", "chunk_id": 150, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ologies and Applications \n\nCredit Hours \n\n1905350 \n\nPrerequisite: (1905321) \n3 \nCourse Description \nThe course will demonstrate knowledge of existing applications and technologies of knowledge. It \nwill also use common Semantic Web tools to apply semantic web technologies. The tools include \nsemantic Web browsers, search engines, text-based and visualization-based tools. The course will \nreason about the significance of knowledge graphs and the directions in which the field is going to \ndevelop.", "source": "AI-English (2022).pdf", "chunk_id": 151, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "out the significance of knowledge graphs and the directions in which the field is going to \ndevelop. Students will be introduced with different applications that use knowledge graphs such, \nhealth applications, learning applications and governmental applications. Active learning \nmethodologies will be applied through role-playing, presentations and problem-solving exercises. \nMoreover, hands-on practice on developing and modelling knowledge graphs will be weekly \npracticed in the lab.", "source": "AI-English (2022).pdf", "chunk_id": 152, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ds-on practice on developing and modelling knowledge graphs will be weekly \npracticed in the lab. \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nHealthcare and Medical Data Analytics \n\n1915352 \n\n3 \n\nPrerequisite: (1905222) \n\nCourse Description \n\n \n \n \n \n28 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\n \nThis course introduces the characteristics of medical data and associated data mining challenges on \ndealing with such data.", "source": "AI-English (2022).pdf", "chunk_id": 153, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "he characteristics of medical data and associated data mining challenges on \ndealing with such data. It focuses on studying those data science techniques in the context of \nconcrete healthcare analytic applications such as predictive modelling, computational phenotyping \nand patient similarity, diseases detection. In this course, the students will learn how can the \napplication of data analytics improve health and health care and how the data analytics-based", "source": "AI-English (2022).pdf", "chunk_id": 154, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "the \napplication of data analytics improve health and health care and how the data analytics-based \nsolutions can result in better diagnosis, and better care. In healthcare, large amounts of \nheterogeneous medical data have become available in various healthcare organizations (payers, \nproviders, pharmaceuticals). This data could be an enabling resource for deriving insights for \nimproving care delivery and reducing waste. The enormity and complexity of these datasets present", "source": "AI-English (2022).pdf", "chunk_id": 155, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "improving care delivery and reducing waste. The enormity and complexity of these datasets present \ngreat challenges in analyses and subsequent applications to a practical clinical environment. The \nbasics of data mining within the context of a wide variety of health care settings, and the types of \ndata and data analysis challenges that you will likely encounter by gathering the data, move on to \nclassifying, analyzing and finally visualizing medical data.", "source": "AI-English (2022).pdf", "chunk_id": 156, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "nter by gathering the data, move on to \nclassifying, analyzing and finally visualizing medical data. The course will host a number of experts \nin the field of IT operations and related healthcare sector from the local market to cover the practical \nside of the course and share their first-hand experience with students. \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nPattern Recognition and Information Analysis \n\n1915371 \n\n3 \n\nPrerequisite: (1905222) \n \n \n\nCourse Description", "source": "AI-English (2022).pdf", "chunk_id": 157, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ition and Information Analysis \n\n1915371 \n\n3 \n\nPrerequisite: (1905222) \n \n \n\nCourse Description \n \nThe course aims to cover a wide understanding of different related topics, such as pattern recognition \nsystems, pre-processing, and feature extraction from images and documents, supervised and \nunsupervised learning, object classification and recognition. In addition, the course aims at studying \nthe concepts of information retrieval, and text and document mining. Furthermore, the course will", "source": "AI-English (2022).pdf", "chunk_id": 158, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "the concepts of information retrieval, and text and document mining. Furthermore, the course will \nintroduce the recommendation systems based on pattern recognition such as collaborative and \ncontent-based recommendation systems. Active learning methodologies will be applied through \nrole-playing, presentations and problem-solving exercises. Moreover, hands-on practice on \ndeveloping and modelling knowledge graphs will be weekly practiced in the lab. \n \n\n \n \n \nCourse Number \n\nCourse Title", "source": "AI-English (2022).pdf", "chunk_id": 159, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "lling knowledge graphs will be weekly practiced in the lab. \n \n\n \n \n \nCourse Number \n\nCourse Title \nAdvanced Natural Language Processing \n\nCredit Hours \n\n1905381 \n\nPrerequisite: (1905380) \n \n3 \n\n \n \n \n \n29 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\nCourse Description \nNatural language processing (NLP) is an important technology and essential part of artificial \nintelligence. NLP is concerned with the problem of automatically analyzing and generating a natural", "source": "AI-English (2022).pdf", "chunk_id": 160, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ntelligence. NLP is concerned with the problem of automatically analyzing and generating a natural \nlanguage in written or spoken form. This course covers wide range of advanced topics including \nfundamental concepts and principals in NLP with emphasis on statistical approaches to NLP. This \ncourse will focus on applying recent advances in analyzing and generating speech and text. It will \ncover techniques and algorithms such as recurrent neural networks, deep learning, neural networks", "source": "AI-English (2022).pdf", "chunk_id": 161, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "cover techniques and algorithms such as recurrent neural networks, deep learning, neural networks \nand mathematical definitions of the relevant machine learning models and derive their associated \noptimization algorithms. In the application part, the course will cover applications such as; question \nanswering, machine translation, text classification, information extraction, grammar induction, \ndictionary generation, analyzing latent dimensions in text, transcribing speech to text, and other.", "source": "AI-English (2022).pdf", "chunk_id": 162, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ictionary generation, analyzing latent dimensions in text, transcribing speech to text, and other. \nActive learning methodologies will be applied through role playing, presentations and problem-\nsolving exercises. Moreover, hands-on practice on using NLTK (Natural Language Toolkit) is \nweekly practiced in the lab. In addition, guest speakers belonging to the Jordan s ICT will \ndemonstrate state-of-the-art practices and application of NLP. \n \n\n \n \nCourse Number \n\nCourse Title", "source": "AI-English (2022).pdf", "chunk_id": 163, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "emonstrate state-of-the-art practices and application of NLP. \n \n\n \n \nCourse Number \n\nCourse Title \nDigital Speech Processing \n\nCredit Hours \n\n1905382 \n\nPrerequisite: (1905320) \n \n3 \n\nCourse Description \n \nThis course aims to provide students with the foundation knowledge on speech production and \nperception along with processing of speech signal in digital domain. It helps students to design, \ndevelop, and evaluate intelligent systems that are based on human speech biometric. Various", "source": "AI-English (2022).pdf", "chunk_id": 164, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "sign, \ndevelop, and evaluate intelligent systems that are based on human speech biometric. Various \napplications will be taught in this course including Automatic Speech Recognition, Automatic \nSpeech Synthesis, Automatic Speaker Recognition, Automatic Dialects Recognition, Automatic \nEmotions Recognition, Automatic Speech to Speech Translation, Conversational Agents, and many \nothers. The state-of-the-art digital speech processing tools and algorithms, and written and spoken", "source": "AI-English (2022).pdf", "chunk_id": 165, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "thers. The state-of-the-art digital speech processing tools and algorithms, and written and spoken \nlanguage resources will be covered in this course. Active learning methodologies will be applied \nthrough role playing, presentations and problem-solving exercises. Moreover, hands-on practice on \ndeveloping automatic Speech processing applications will be weekly practiced in the lab. \n \n\nCourse Title \nInformation Technology Entrepreneurship and \n\nCredit Hours \n\nCourse Number \n\n1902383 \n\n3", "source": "AI-English (2022).pdf", "chunk_id": 166, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "e Title \nInformation Technology Entrepreneurship and \n\nCredit Hours \n\nCourse Number \n\n1902383 \n\n3 \n\nInnovation \n\nPrerequisite: (1902224) \n \n \n\nCourse Description \n\n \n \n \n \n30 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\n \nThis course is to introduce students to new and innovative technologies and examine how these \npowerful systems have fundamentally reshaped modern organizations. These new information", "source": "AI-English (2022).pdf", "chunk_id": 167, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ow these \npowerful systems have fundamentally reshaped modern organizations. These new information \ntechnologies are being used to change how organizations operate, produce products and services, \nand communicate both internally and as well as with external partners. Using online collaborative \ntechnologies that were developed in the context of social networking and online communities and \ndata-driven and Artificial Intelligence technologies, corporations are reengineering both internal", "source": "AI-English (2022).pdf", "chunk_id": 168, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "data-driven and Artificial Intelligence technologies, corporations are reengineering both internal \nbusiness processes and those related to customers, suppliers, and business partners. Developing \ninnovative ways to communicate and collaborate can lead to new business opportunities and new \nefficiencies. This course investigates the technologies, methods, and practices of developing new \ninnovations such as online communities, data revolution, and the Artificial Intelligence paradigms", "source": "AI-English (2022).pdf", "chunk_id": 169, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "innovations such as online communities, data revolution, and the Artificial Intelligence paradigms \nto reengineer business processes and develop innovative, value-adding, and sustainable business \nactivities within existing corporations and new start-ups. The students will learn how to translate \ninnovative, data-driven, and AI ideas into concrete project requirements, develop technological \nsolutions, launch a business venture, and assess its effectiveness. Delivery will combine traditional", "source": "AI-English (2022).pdf", "chunk_id": 170, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "utions, launch a business venture, and assess its effectiveness. Delivery will combine traditional \nlectures with other active teaching methodologies. A case study of innovative Healthcare \nInformation Systems (HCIS) is selected for discussion throughout the course to highlight basic \nconcepts of innovative HCIS project development. Students are advised to develop innovative \nsolutions for simple problems in HCIS. \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \n\n1915431 \n\nBig Data \n\n3", "source": "AI-English (2022).pdf", "chunk_id": 171, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "simple problems in HCIS. \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \n\n1915431 \n\nBig Data \n\n3 \n\nPrerequisite: (1915370) \n \n \n\nCourse Description \n \nThis course shall first introduce the overview Big Data applications, market trend, and the things to \nlearn. Then, will introduce the fundamental platforms, such as MapReduce, Hadoop ecosystem, \nSpark, H2O Framework, Apache Storm, and other tools. Afterwards, the course will introduce", "source": "AI-English (2022).pdf", "chunk_id": 172, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ystem, \nSpark, H2O Framework, Apache Storm, and other tools. Afterwards, the course will introduce \nseveral data storage methods and how to upload, distribute, and process them. This shall include \nHDFS, HBase, Pig, and Hive, document database, and graph database. The course will go on to \nintroduce different ways of handling data analytics algorithms on different platforms. Then, the \ncourse will introduce visualization issues on Big Data. It also provides a first hands-on experience", "source": "AI-English (2022).pdf", "chunk_id": 173, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "urse will introduce visualization issues on Big Data. It also provides a first hands-on experience \nin handling and analyzing large, complex structured, semi-structured, and unstructured data. \nStudents will then have fundamental knowledge on Big Data to handle various real-world \nchallenges. The course will zoom in to discuss large-scale machine learning methods, and related \nbig data frameworks. The course contains a set of homeworks and weekly tasks. The course hosts", "source": "AI-English (2022).pdf", "chunk_id": 174, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "d \nbig data frameworks. The course contains a set of homeworks and weekly tasks. The course hosts \nseveral experts in the field of big data from the local market to cover the practical side of the course \nand to share their first-hand experience with students. \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nReinforcement learning \n\n1905432 \n\n3 \n\nPrerequisite: (1905330) \n \n \n\n \n \n \n \n31 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\nCourse Description", "source": "AI-English (2022).pdf", "chunk_id": 175, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ite: (1905330) \n \n \n\n \n \n \n \n31 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\nCourse Description \n \nThe course is about prediction and control using reinforcement learning, including aspects of deep \nreinforcement learning, i.e., the application of neural networks-based functional approximation to \nreinforcement learning problems. The course covers theory and applications related to the following \ntopics: Markov decision processes. Value function approximation. Policy gradient methods, Actor-", "source": "AI-English (2022).pdf", "chunk_id": 176, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "g \ntopics: Markov decision processes. Value function approximation. Policy gradient methods, Actor-\ncritic algorithms. Integration of Learning and Planning. Exploration vs exploitation trade-offs. \nActive learning methodologies will be applied through role playing, presentations and problem-\nsolving exercises. Moreover, hands-on practice on reinforcement learning applications will be \nweekly practiced in the lab. \n \n \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nIntelligent Agents \n\n1905433", "source": "AI-English (2022).pdf", "chunk_id": 177, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "iced in the lab. \n \n \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nIntelligent Agents \n\n1905433 \n\n3 \n\nPrerequisite: (1905431) \n\nCourse Description \n \nThe aim of this course is to introduce the notion of Multi-Agent systems (MAS) which can be \nviewed as a collection of distributed autonomous artifacts capable of accomplishing complex tasks \nthrough interaction, coordination, collective intelligence and emergence of patterns of behavior. We", "source": "AI-English (2022).pdf", "chunk_id": 178, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "rough interaction, coordination, collective intelligence and emergence of patterns of behavior. We \nshall discuss the following concepts and issues: what are agents and MAS, MAS architectures, \nCommunication (Coordination, Negotiation, MAS learning), Knowledge representation, \nDistributed planning, Agents and MAS applications. By the end of the course, students are expected \nto (1) have good understanding of the ideas, models, and paradigms offered by intelligent agents", "source": "AI-English (2022).pdf", "chunk_id": 179, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "to (1) have good understanding of the ideas, models, and paradigms offered by intelligent agents \nand MAS; (2) build MAS or select the right MAS framework for solving a problem; and (3) use the \nagent technology in different areas of applications. Active learning methodologies will be applied \nthrough role playing, presentations and problem-solving exercises. Moreover, hands-on practice on \nMulti-Agent systems applications will be weekly practiced in the lab. \n \n\nCredit Hours \n\nCourse Number", "source": "AI-English (2022).pdf", "chunk_id": 180, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "i-Agent systems applications will be weekly practiced in the lab. \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nAdvanced Embedded Systems \n\n1905434 \n\n3 \n\nPrerequisite: (1905330) \n\nCourse Description \n \n\n \n \n \n \n32 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\nThis course aims to cover and provide students insights to selected topics in advanced embedded \nsystems. It includes concepts Analogue to Digital Converter (ADC), Universal Synchronous", "source": "AI-English (2022).pdf", "chunk_id": 181, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "embedded \nsystems. It includes concepts Analogue to Digital Converter (ADC), Universal Synchronous \nAsynchronous Receiver Transmitter (USART), and Pulse Width Modulation (PWM). Advance real \ntime applications and formal models of computation for embedded (centralized and distributed) \nsystems. Active learning methodologies will be applied through role playing, presentations and \nproblem-solving exercises. Moreover, hands-on practice on embedded systems applications will be", "source": "AI-English (2022).pdf", "chunk_id": 182, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "d \nproblem-solving exercises. Moreover, hands-on practice on embedded systems applications will be \nweekly practiced in the lab. \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nData Visualization \n\n1915441 \n\n3 \n\nPrerequisite: (1915370) \n\nCourse Description \n \nThis course will give you the skills you need to leverage data to reveal valuable insights and advance \nyour career. The course will focus on studying algorithms for creating effective visualizations", "source": "AI-English (2022).pdf", "chunk_id": 183, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "e \nyour career. The course will focus on studying algorithms for creating effective visualizations \ncapable of promoting data comprehension and analysis. The course discusses the key techniques \nand theory used in visualization, including data models, graphical perception, and visual encoding \nand interaction. Students will learn about the variety of existing approaches and systems in data \nvisualization and develop skills in evaluating different visualization techniques as applied to", "source": "AI-English (2022).pdf", "chunk_id": 184, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "a \nvisualization and develop skills in evaluating different visualization techniques as applied to \nparticular tasks. Also, these visualization techniques will be used to display data through static and \ninteractive forms and graphics that help in understanding relationships and communicating with \nnon-specialists. The course also discusses visual representation methods, such as graph drawing, \nparallel coordinates, tree mapping, and encourages students to design new innovative visualizations", "source": "AI-English (2022).pdf", "chunk_id": 185, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "arallel coordinates, tree mapping, and encourages students to design new innovative visualizations \nand experiment their potentials on case studies of various data sources. In addition, the course will \nintroduce the popular packages in python programming and other open sources visualization tools. \nDelivery will combine traditional lectures with other active teaching methodologies, such as group \ndiscussions, group solving problems, analysis of cases and debates, case study from different", "source": "AI-English (2022).pdf", "chunk_id": 186, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "oup \ndiscussions, group solving problems, analysis of cases and debates, case study from different \ndomains, and assignments. \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nBrain-Computer Interaction \n\n1905433 \n\n3 \n\nPrerequisite: (1905320) \n\nCourse Description \n \n\n \n \n \n \n33 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\nThe course will cover the Brain-Computer Interface (BCI) design with a focus on modern methods.", "source": "AI-English (2022).pdf", "chunk_id": 187, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "The course will cover the Brain-Computer Interface (BCI) design with a focus on modern methods. \nIn addition, the course will cover the Basic Neuroscience, Stimulating the Brain, Signal Acquisition, \nSignal Processing, related BCIs Machine Learning, Major Types of BCIs such as Invasive BCIs, \nSemi-Invasive BCIs, Non-Invasive BCIs, Stimulating and Bidirectional BCIs, BCI Applications \nusing Matlab, BCI devices such as Emotiv, Ethics of BCI, basics of EEG. The course will cover", "source": "AI-English (2022).pdf", "chunk_id": 188, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ons \nusing Matlab, BCI devices such as Emotiv, Ethics of BCI, basics of EEG. The course will cover \nsome of the most common brain-computer interface examples such as in Medicine, Rescue/Disaster \nManagement, Security, Education, and Rehabilitation. Active learning methodologies will be \napplied through role playing, presentations and problem-solving exercises. Moreover, hands-on \npractice on designing Brain-Computer Interface applications will be weekly practiced in the lab. \n \n\nCredit Hours", "source": "AI-English (2022).pdf", "chunk_id": 189, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "gning Brain-Computer Interface applications will be weekly practiced in the lab. \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nComputational Problems and Techniques \n\n1901444 \n\n3 \n\nPrerequisite: (1901341) \n \n \n\nCourse Description \n \nThe main goal of this course is to enable the students to solve classical computational problems, \nsuch as 0-1 knapsack, rod cutting, matrix chain multiplication, N-queens, and sudoku, using various \ncomputational techniques.", "source": "AI-English (2022).pdf", "chunk_id": 190, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "cutting, matrix chain multiplication, N-queens, and sudoku, using various \ncomputational techniques. The students will be introduced to the theoretical concepts for the \ncomputational problems and techniques and their implementations. The course covers various \ncomputational techniques such as complete search, iterative (all subsets and all permutations), \nbacktracking, greedy approach, dynamic programming, and divide-and-conquer (binary search \ntechnique).", "source": "AI-English (2022).pdf", "chunk_id": 191, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "cktracking, greedy approach, dynamic programming, and divide-and-conquer (binary search \ntechnique). Also, the course covers two-pointers and range queries including static (partial and \nprefix sums) and dynamic (segment tree) with their implementations and usage. Weekly problems \nwill be presented in the lab either individually or within groups. \n \n\nCourse Number \n\nCourse Title \n\nCredit Hours \n\n1905450 \n\nGame AI \n\nPrerequisite: (1905320) \n \n3 \n\nCourse Description", "source": "AI-English (2022).pdf", "chunk_id": 192, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "rse Title \n\nCredit Hours \n\n1905450 \n\nGame AI \n\nPrerequisite: (1905320) \n \n3 \n\nCourse Description \n \nThis course introduces students to the techniques used to simulate Artificial Intelligence in computer \ngames. AI is used in games to generate responsive or intelligent behaviour mainly for Non-Player \nCharacters (NPCs), assist game designers in analyzing existing level designs, synthesizing new \n\n \n \n \n \n34 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors", "source": "AI-English (2022).pdf", "chunk_id": 193, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "existing level designs, synthesizing new \n\n \n \n \n \n34 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\nones, and statistically model player behaviour. This course helps to understand how to decide which \nmove to take based on future possibilities and n-moves look ahead. The course also explores how \nto solve parameters (e.g. time or distance) optimization applications, these applications usually have \nexponential possibilities.", "source": "AI-English (2022).pdf", "chunk_id": 194, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "or distance) optimization applications, these applications usually have \nexponential possibilities. Some of covered techniques to stimulate intelligence in computer games \ninclude: movement, pathfinding with A* search, decision/ behaviour trees, state machines, machine \nlearning, tactics. Student will also learn some of the algorithms used for game development such as \nevade algorithms and flocking, etc. Several games will be considered to show how various steps of", "source": "AI-English (2022).pdf", "chunk_id": 195, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "evade algorithms and flocking, etc. Several games will be considered to show how various steps of \nthe algorithm are implemented in code. Students will work in small teams to develop technical \npractical projects. Active learning methodologies will be applied through role playing, presentations \nand problem-solving exercises. Moreover, hands-on practice on developing intelligent computer \ngames will be weekly practiced in the lab. In addition, guest speakers belonging to the Jordan s ICT", "source": "AI-English (2022).pdf", "chunk_id": 196, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "mes will be weekly practiced in the lab. In addition, guest speakers belonging to the Jordan s ICT \nwill demonstrate state-of-the-art practices on developing computer games. \n \n \n \n\nCourse Number \n\nCourse Title \nSoftware Engineering for AI-Enabled Systems \n\nCredit Hours \n\n1905452 \n\nPrerequisite: (1905320 and 1902372) \n \n3 \n\nCourse Description \n \nThe course takes a software engineering perspective on building software systems with a \nsignificant machine learning or AI component.", "source": "AI-English (2022).pdf", "chunk_id": 197, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ering perspective on building software systems with a \nsignificant machine learning or AI component. It discusses how to take an idea and a model \ndeveloped by an AI expert or data scientist and deploy it as part of scalable and maintainable system \n(e.g., mobile apps, web applications, IoT devices). Rather than focusing on modeling and learning \nitself, this course assumes a working relationship with the AI expert and data scientist and focuses", "source": "AI-English (2022).pdf", "chunk_id": 198, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "self, this course assumes a working relationship with the AI expert and data scientist and focuses \non issues of design, implementation, operation, and assurance and how those interact with the data \nscientist's modeling. This course is aimed at software engineers who want to understand the specific \nchallenges of working with AI components and at AI experts and data scientists who want to \nunderstand the challenges of getting a prototype model into production; it facilitates communication", "source": "AI-English (2022).pdf", "chunk_id": 199, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "derstand the challenges of getting a prototype model into production; it facilitates communication \nand collaboration between both roles. The course also covers the applications of AI in the SDLC \n(i.e., Requirements prioritization, Bug prediction, etc.). One or two guest speakers with many years \nof experience in developing intelligent software engineering will be invited to share their first-hand \nexperience with students. \n \n \n \n\nCourse Number \n\nCourse Title \nVirtual Reality \n\nCredit Hours", "source": "AI-English (2022).pdf", "chunk_id": 200, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "d \nexperience with students. \n \n \n \n\nCourse Number \n\nCourse Title \nVirtual Reality \n\nCredit Hours \n\n1905453 \n\nPrerequisite: (1905322) \n \n3 \n\nCourse Description \n \nThis course introduces the basic principles of Virtual Reality and its applications. The necessary \nhardware and software components of interactive 3D systems as well as human factors are \ndiscussed. The material is reinforced by practical assignments and projects. The topics will be as", "source": "AI-English (2022).pdf", "chunk_id": 201, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "discussed. The material is reinforced by practical assignments and projects. The topics will be as \nfollows: applications, human sensory/motor system & capabilities. History of VR and AR, \n\n \n \n \n \n35 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\ndifferences between VR/AR and normal experience. Virtual Reality Technology (VR): VR input \ndevices, filtering & tracking, VR output devices, Augmented Reality (AR) hardware, spatial audio, \nand haptic.", "source": "AI-English (2022).pdf", "chunk_id": 202, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "iltering & tracking, VR output devices, Augmented Reality (AR) hardware, spatial audio, \nand haptic. This course aims to make students know the basic concept and framework of virtual \nreality, teach students the principles and multidisciplinary features of virtual reality, teach students \nthe technology for multimodal user interaction and perception in VR, in particular the visual, audial \nand haptic interface and behaviour, and provide students with an introduction to the VR system", "source": "AI-English (2022).pdf", "chunk_id": 203, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "al \nand haptic interface and behaviour, and provide students with an introduction to the VR system \nframework and development tools. Active learning methodologies will be applied through role \nplaying, presentations and problem-solving exercises. Moreover, hands-on practice on virtual \nreality applications will be weekly practiced in the lab. \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nMultimodal Intelligent Systems \n\n1905454 \n\n3 \n\nPrerequisite: (1905320) \n\nCourse Description", "source": "AI-English (2022).pdf", "chunk_id": 204, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "le \nMultimodal Intelligent Systems \n\n1905454 \n\n3 \n\nPrerequisite: (1905320) \n\nCourse Description \n \nThis course aims to provide students with the foundation knowledge of unimodality, bimodality, and \nmultimodality intelligent systems using human physiological and behavioural biometrics such as \nvoice, fingerprint, iris, hand written signature, gait, and others. Fusion techniques will be taught in \nthis course to enable students to combine biometrics at feature and decision levels.", "source": "AI-English (2022).pdf", "chunk_id": 205, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "l be taught in \nthis course to enable students to combine biometrics at feature and decision levels. Students will be \ntaught real world applications of fusing human biometrics with some hands-on experience. Active \nlearning methodologies will be applied through role playing, presentations and problem-solving \nexercises. Moreover, hands-on practice on modelling multimodal systems will be weekly practiced \nin the lab. \n \n \n \n \n \n \n \n \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title", "source": "AI-English (2022).pdf", "chunk_id": 206, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "l be weekly practiced \nin the lab. \n \n \n \n \n \n \n \n \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nCloud Computing \n\n1915461 \n\n3 \n\nPrerequisite: (1905222 and 1901363) \n\nCourse Description \n \nThe course discusses the basic APIs used in the Microsoft and Amazon Clouds, including the \ntechniques for building, deploying, and maintaining machine images and applications. Student will \nlearn how to use Cloud as the infrastructure for existing and new services. They will use open source", "source": "AI-English (2022).pdf", "chunk_id": 207, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "rn how to use Cloud as the infrastructure for existing and new services. They will use open source \nimplementations of highly available clustering computational environments, as well as the \n\n \n \n \n \n36 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\nRepresentational State Transfer Web Services called (RESTful), to build very powerful and efficient \napplications. Also, students will learn how to deal with not trivial issues in the Cloud, such as load", "source": "AI-English (2022).pdf", "chunk_id": 208, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ications. Also, students will learn how to deal with not trivial issues in the Cloud, such as load \nbalancing, caching, distributed transactions, and identity and authorization management. It is \nexpected that students will become familiar with Linux OS. In addition, the course will cover \nContainer Orchestration, Docker, Kubernetes, Cloud-based File System, Cloud-based Databases, \nScalable Data Storage, Cloud based Machine Learning, Cloud based Analytics, Graph Processing,", "source": "AI-English (2022).pdf", "chunk_id": 209, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "es, \nScalable Data Storage, Cloud based Machine Learning, Cloud based Analytics, Graph Processing, \nGraph Databases on the Cloud, introduction to Big Data Programming frameworks such as \nMapReduce, Spark, and Hadoop. It covers topics of data centers, virtualization, cloud storage, and \nprogramming models. The course also addresses the motivating factors, benefits, challenges and the \nservice model. The course introduces several concepts in the design and management of data \ncenters.", "source": "AI-English (2022).pdf", "chunk_id": 210, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "service model. The course introduces several concepts in the design and management of data \ncenters. It also presents concepts such data distribution, robustness, consistency and redundancy. \nDelivery will combine traditional lectures with other active teaching methodologies, such as group \ndiscussions, group solving problems, analysis of cases and debates, case study from different \ndomains, and assignments. \n \n \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nIT Project Management \n\n1904472", "source": "AI-English (2022).pdf", "chunk_id": 211, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "assignments. \n \n \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nIT Project Management \n\n1904472 \n\n3 \n\nPrerequisite: (1902372) \n \n \n\nCourse Description \n \nStudents are expected to explore the processes, procedures, tools and techniques and results to create \nand execute an integrated project plan; it also expected to create project charter, determine \nrequirements, defining creating and managing the project scope, and validating the deliverables. IT", "source": "AI-English (2022).pdf", "chunk_id": 212, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "equirements, defining creating and managing the project scope, and validating the deliverables. IT \nproject managers are responsible for planning, organizing, allocating resources, budgeting and \nsuccessfully executing organizations specific IT goals. This course uses active teaching \nmethodologies, such as weekly lab applied sessions, group work and technical projects. In addition, \nspeakers from the industry will be invited to discuss case studies and show the latest trends on the \nindustry.", "source": "AI-English (2022).pdf", "chunk_id": 213, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "om the industry will be invited to discuss case studies and show the latest trends on the \nindustry. \n \n\n \n \n \nCourse Number \n\nCourse Title \nArabic Language Engineering \n\nCredit Hours \n\n1905480 \n\nPrerequisite: (1905380) \n3 \nCourse Description \n \nArabic Language Engineering course is an interdisciplinary course concerned with the use of \nNatural Language Processing tools and techniques to analyze and generate Arabic language in the \nforms of text and speech.", "source": "AI-English (2022).pdf", "chunk_id": 214, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ssing tools and techniques to analyze and generate Arabic language in the \nforms of text and speech. It investigates the challenges of processing Arabic language. It discusses \nthe linguistic theories and computational techniques for machine translation, information retrieval, \ntext summarization, reference resolution, question answering, parsing, sense disambiguation, \n\n \n \n \n \n37 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\nmorphological analysis, speech analysis and synthesis.", "source": "AI-English (2022).pdf", "chunk_id": 215, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "QF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\nmorphological analysis, speech analysis and synthesis. Active learning methodologies will be \napplied through role playing, presentations and problem-solving exercises. Moreover, hands-on \npractice on developing NLP applications for Arabic will be weekly practiced in the lab. In addition, \nguest speakers belonging to the Jordan s ICT will demonstrate state-of-the-art practices on Arabic \nNLP applications. \n \n \n\nCredit Hours \n\nCourse Number", "source": "AI-English (2022).pdf", "chunk_id": 216, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "strate state-of-the-art practices on Arabic \nNLP applications. \n \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nModel Deployment Frameworks \n\n1915481 \n\n3 \n\nPrerequisite: (1915370) \n \n \n\nCourse Description \n \nIn this course, the student will learn how to deploy ML models and make them available to end-\nusers. In addition, the student will learn about the Model Deployment Platforms such as Django and \nFlask, and others.", "source": "AI-English (2022).pdf", "chunk_id": 217, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": ", the student will learn about the Model Deployment Platforms such as Django and \nFlask, and others. The student will build scalable and reliable infrastructure to deliver inference \nrequests both in real-time and batch depending on the use case. Student will also implement \nworkflow automation and progressive delivery that complies with current MLOps practices to keep \nyour production system running. Additionally, you will continuously monitor your system to detect", "source": "AI-English (2022).pdf", "chunk_id": 218, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "your production system running. Additionally, you will continuously monitor your system to detect \nmodel decay, remediate performance drops, and avoid system failures so it can continuously operate \nat all times. Delivery will combine traditional lectures with other active teaching methodologies, \nsuch as group discussions, group solving problems, analysis of cases and debates, case study from \ndifferent domains, and assignments. \n \n \n \n \n \n \n \n \n \n \n \n\nCredit Hours \n\nCourse Number", "source": "AI-English (2022).pdf", "chunk_id": 219, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "dy from \ndifferent domains, and assignments. \n \n \n \n \n \n \n \n \n \n \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nSecurity Intelligence \n\n1911489 \n\n3 \n\nPrerequisite: (301131 and 1905320) \n \n \n\nCourse Description \n \nThis course introduces students to protecting an organization from external and inside threats as \nwell as the processes, policies and tools designed to gather and analyze that information. It studies \n\n \n \n \n \n38 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors", "source": "AI-English (2022).pdf", "chunk_id": 220, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "and analyze that information. It studies \n\n \n \n \n \n38 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors \n\nin-depth investigation of attackers and their techniques. Topics included: Various concepts, \nalgorithms and techniques related to hunting, features extraction, attacks classification and \ntracking. \n \n \n \n\nCourse Number \n\nCourse Title \nSpecial Topics in Artificial Intelligence \n\nCredit Hours \n\n1905493 \n\nPrerequisite: (1905320) \n3 \nCourse Description", "source": "AI-English (2022).pdf", "chunk_id": 221, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "rtificial Intelligence \n\nCredit Hours \n\n1905493 \n\nPrerequisite: (1905320) \n3 \nCourse Description \n \nThe course goes in depth on selected topics and methods within Artificial Intelligence (AI) and its \napplications. Including Information extraction, industrial applications of AI, advanced logic-based \nAI, Statistical Relational learning, representing and reasoning about knowledge, in addition to \ncomputational intelligence algorithms in search, optimization and classification.", "source": "AI-English (2022).pdf", "chunk_id": 222, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "e, in addition to \ncomputational intelligence algorithms in search, optimization and classification. On the other hand, \nthe course will review and analyse the basic approaches to building intelligent software agents and \nAI applications in remote sensing. An agent is a system situated within and part of an environment \nthat senses that environment and acts on it. Intelligent software agents are AI programs that can \nassist users in various ways.", "source": "AI-English (2022).pdf", "chunk_id": 223, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "and acts on it. Intelligent software agents are AI programs that can \nassist users in various ways. For instance, they can perform tasks on the user's behalf, they can \nadvise, train or teach the user, they can monitor events for the user, or help different users \ncollaborate. This will allow the act of making computers demonstrate intelligent behaviour, so that \nthey can solve new problems or cope with the unknown. \n \n \n \n\n \n \n \n \n39 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors", "source": "AI-English (2022).pdf", "chunk_id": 224, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "new problems or cope with the unknown. \n \n \n \n\n \n \n \n \n39 \nQF-AQAC-02.03.1.2 \n\nStudy Plan- Bachelors", "source": "AI-English (2022).pdf", "chunk_id": 225, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "القسم الأول: نظرة عامة على تخصص الذكاء الاصطناعي في الجامعة الأردنية\nتقدّم 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.\nيشترط 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": 1, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم الأول: نظرة عامة على تخصص الذكاء الاصطناعي في الجامعة الأردنية" }, { "text": "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, "doc_type": "curriculum", "section_title": "القسم الأول: نظرة عامة على تخصص الذكاء الاصطناعي في الجامعة الأردنية" }, { "text": "نظام تلوين الخطة الدراسية\nتتوزع المقررات على أربع سنوات دراسية يُميَّز بينها بنظام ألوان محدد في الخطة الدراسية المعتمدة:\nالسنة الأولى: اللون التيفاني / الفيروزي\nالسنة الثانية: اللون الكحلي الداكن / الأزرق الغامق\nالسنة الثالثة: اللون البرتقالي\nالسنة الرابعة: اللون الأحمر\nالمقررات الاختيارية: اللون البرتقالي الفاتح - يمكن للطالب اختيارها ضمن ساعاته التخصصية", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 3, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "نظام تلوين الخطة الدراسية" }, { "text": "غامق\nالسنة الثالثة: اللون البرتقالي\nالسنة الرابعة: اللون الأحمر\nالمقررات الاختيارية: اللون البرتقالي الفاتح - يمكن للطالب اختيارها ضمن ساعاته التخصصية", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 4, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "نظام تلوين الخطة الدراسية" }, { "text": "القسم الثاني: المقررات التمهيدية والمتطلبات الأساسية قبل الدخول في التخصص\nقبل 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, "doc_type": "curriculum", "section_title": "القسم الثاني: المقررات التمهيدية والمتطلبات الأساسية قبل الدخول في التخصص" }, { "text": "طناعي 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": 6, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم الثاني: المقررات التمهيدية والمتطلبات الأساسية قبل الدخول في التخصص" }, { "text": "قائمة المقررات التمهيدية\nالمقرر رقم 1 - أساسيات الحاسوب 99\nالاسم الإنجليزي: CS99 / أساسيات الحاسوب\nالوصف: يُعرِّف الطالب بالمفاهيم الأساسية في علم الحاسوب وبنيته وأنظمة التشغيل.\nالمقرر رقم 2 - مقدمة في البرمجة C++\nالاسم الإنجليزي: Intro to C++\nالوصف: يُدرِّب الطالب على كتابة برامج هيكلية باستخدام لغة C++ وفهم البرمجة الإجرائية.\nالمقرر رقم 3 - رياضيات منفصلة\nالاسم الإنجليزي: Discrete\nالوصف: يُغطي المنطق الرياضي والمجموعات والبيانات والخوارزميات الأساسية.\nالمقرر رقم 4 - الجبر الخطي لعلوم الحوسبة\nالاسم الإنجليزي: Linear Algebra\nالوصف: يشمل المصفوفات والمتجهات والفضاءات الجبرية اللازمة لخوارزميات الذكاء الاصطناعي.\nالمقرر رقم 5 - تفاضل وتكامل 1\nالاسم الإنجليزي: Calculus 1", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 7, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "قائمة المقررات التمهيدية" }, { "text": "ebra\nالوصف: يشمل المصفوفات والمتجهات والفضاءات الجبرية اللازمة لخوارزميات الذكاء الاصطناعي.\nالمقرر رقم 5 - تفاضل وتكامل 1\nالاسم الإنجليزي: Calculus 1\nالوصف: يتناول التفاضل والتكامل الأحادي المتغير وتطبيقاته في تحسين النماذج.\nالمقرر رقم 6 - أساسيات تكنولوجيا المعلومات\nالاسم الإنجليزي: fund\nالوصف: يُرسِّخ مفاهيم أنظمة المعلومات وتكنولوجيا الاتصالات.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 8, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "قائمة المقررات التمهيدية" }, { "text": "طبيقاته في تحسين النماذج.\nالمقرر رقم 6 - أساسيات تكنولوجيا المعلومات\nالاسم الإنجليزي: fund\nالوصف: يُرسِّخ مفاهيم أنظمة المعلومات وتكنولوجيا الاتصالات.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 9, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "قائمة المقررات التمهيدية" }, { "text": "القسم الثالث: مقررات السنة الأولى - اللون الفيروزي / التيفاني\nتُمثّل 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, "doc_type": "curriculum", "section_title": "القسم الثالث: مقررات السنة الأولى - اللون الفيروزي / التيفاني" }, { "text": "ي 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": 11, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم الثالث: مقررات السنة الأولى - اللون الفيروزي / التيفاني" }, { "text": "المقررات الإلزامية لمقررات السنة الأولى\nالمقرر 1 - البرمجة كائنية التوجه\nالاسم الإنجليزي: OOP\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: الكلاسات، الكائنات، الوراثة، التعددية الشكلية، التغليف، مبادئ SOLID.\nالوصف 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.\nالمقرر 2 - شبكات الحاسوب\nالاسم الإنجليزي: Networks\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: بروتوكولات الاتصال، OSI، TCP/IP، الإنترنت، أمن الشبكات الأساسي.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 12, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "المقررات الإلزامية لمقررات السنة الأولى" }, { "text": "رر 2 - شبكات الحاسوب\nالاسم الإنجليزي: Networks\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: بروتوكولات الاتصال، OSI، TCP/IP، الإنترنت، أمن الشبكات الأساسي.\nالوصف التفصيلي: يُغطي بروتوكولات الاتصال بين الحواسيب ونماذج OSI وTCP/IP وأساسيات الإنترنت، وهي معارف ضرورية لفهم بيئات النشر السحابي لنماذج الذكاء الاصطناعي.\nالمقرر 3 - تراكيب البيانات\nالاسم الإنجليزي: Data Structures\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: القوائم المترابطة، الأشجار، الرسوم البيانية، جداول التقطيع، الخوارزميات الأساسية.\nالوصف 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": 13, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "المقررات الإلزامية لمقررات السنة الأولى" }, { "text": "اسية لأي مبرمج إذ يُعلّم الطالب كيفية تنظيم البيانات واسترجاعها بكفاءة باستخدام هياكل مثل القوائم المترابطة والأشجار والرسوم البيانية وجداول التقطيع.\nالمقرر 4 - مقدمة في الذكاء الاصطناعي\nالاسم الإنجليزي: Info to AI\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: تاريخ الذكاء الاصطناعي، المفاهيم الأساسية، التطبيقات، أنواع الذكاء الاصطناعي.\nالوصف 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.\nالمقرر 5 - مبادئ الإحصاء\nالاسم الإنجليزي: Statistics\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: الإحصاء الوصفي والاستنتاجي، التوزيعات الاحتمالية، الاختبارات الإحصائية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 14, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "المقررات الإلزامية لمقررات السنة الأولى" }, { "text": "دئ الإحصاء\nالاسم الإنجليزي: Statistics\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: الإحصاء الوصفي والاستنتاجي، التوزيعات الاحتمالية، الاختبارات الإحصائية.\nالوصف التفصيلي: يتناول مبادئ الإحصاء الوصفي والاستنتاجي والاحتمالات وتوزيعاتها، وهي أدوات جوهرية لفهم نماذج التعلم الآلي وتقييمها.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 15, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "المقررات الإلزامية لمقررات السنة الأولى" }, { "text": "اختبارات الإحصائية.\nالوصف التفصيلي: يتناول مبادئ الإحصاء الوصفي والاستنتاجي والاحتمالات وتوزيعاتها، وهي أدوات جوهرية لفهم نماذج التعلم الآلي وتقييمها.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 16, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "المقررات الإلزامية لمقررات السنة الأولى" }, { "text": "القسم الرابع: مقررات السنة الثانية - اللون الكحلي / الأزرق الغامق\nتُمثّل 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.\nالمقرر 1 - برمجة الذكاء الاصطناعي\nالاسم الإنجليزي: AI-Prog\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: تطبيق خوارزميات البحث والاستدلال المنطقي برمجياً بلغة Python.\nالوصف التفصيلي: يُدرِّب الطالب على تطبيق خوارزميات الذكاء الاصطناعي برمجياً باستخدام لغات برمجة متخصصة مثل Python، ويشمل تطبيق خوارزميات البحث والاستدلال المنطقي.\nالمقرر 2 - برمجة الذكاء الاصطناعي المتقدمة\nالاسم الإنجليزي: Adv AI-Prog\nعدد الساعات المقترحة: 3 ساعات", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 17, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم الرابع: مقررات السنة الثانية - اللون الكحلي / الأزرق الغامق" }, { "text": "ويشمل تطبيق خوارزميات البحث والاستدلال المنطقي.\nالمقرر 2 - برمجة الذكاء الاصطناعي المتقدمة\nالاسم الإنجليزي: Adv AI-Prog\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: نماذج التعلم الآلي المتقدمة وتحسين أدائها.\nالوصف التفصيلي: امتداد لمقرر AI-Prog يتناول موضوعات برمجية أكثر تعقيداً تشمل تطبيق نماذج التعلم الآلي المختلفة من البداية وتحسين أدائها.\nالمقرر 3 - أنظمة إدارة قواعد البيانات\nالاسم الإنجليزي: DataBase\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: تصميم قواعد البيانات العلائقية، SQL، الاستعلامات المعقدة.\nالوصف 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": 18, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم الرابع: مقررات السنة الثانية - اللون الكحلي / الأزرق الغامق" }, { "text": "ميم قواعد البيانات العلائقية ولغة SQL وعمليات الاستعلام والتحديث والحذف والإدراج، وهي مهارات ضرورية لإدارة بيانات التدريب في مشاريع الذكاء الاصطناعي.\nالمقرر 4 - أمن وخصوصية المعلومات\nالاسم الإنجليزي: Info Security\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: تأمين الأنظمة وحماية البيانات والخصوصية الرقمية.\nالوصف التفصيلي: يُغطي مبادئ تأمين الأنظمة الرقمية وحماية البيانات والخصوصية، وهو ذو أهمية خاصة في سياق نماذج الذكاء الاصطناعي التي تتعامل مع بيانات حساسة.\nالمقرر 5 - هندسة البرمجيات\nالاسم الإنجليزي: Software Engineering\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: دورة حياة التطوير، Agile، Scrum، إدارة المشاريع التقنية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 19, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم الرابع: مقررات السنة الثانية - اللون الكحلي / الأزرق الغامق" }, { "text": "هندسة البرمجيات\nالاسم الإنجليزي: Software Engineering\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: دورة حياة التطوير، Agile، Scrum، إدارة المشاريع التقنية.\nالوصف التفصيلي: يُعلِّم الطالب دورة حياة تطوير البرمجيات ومنهجيات إدارة المشاريع التقنية مثل Agile وScrum وهي مهارات أساسية لإنجاز مشاريع الذكاء الاصطناعي ضمن فرق عمل.\nالمقرر 6 - التنقيب في البيانات\nالاسم الإنجليزي: Data Mining\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: استخراج الأنماط، التجميع، التصنيف، قواعد الارتباط.\nالوصف التفصيلي: يُعلِّم تقنيات استخراج الأنماط المخفية من مجموعات البيانات الضخمة باستخدام خوارزميات مثل التجميع والتصنيف وقواعد الارتباط.\nالمقرر 7 - الحوسبة السحابية\nالاسم الإنجليزي: Cloud Computing\nعدد الساعات المقترحة: 3 ساعات", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 20, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم الرابع: مقررات السنة الثانية - اللون الكحلي / الأزرق الغامق" }, { "text": "ة باستخدام خوارزميات مثل التجميع والتصنيف وقواعد الارتباط.\nالمقرر 7 - الحوسبة السحابية\nالاسم الإنجليزي: Cloud Computing\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: IaaS / PaaS / SaaS، نشر نماذج الذكاء الاصطناعي سحابياً.\nالوصف التفصيلي: يُغطي نماذج الخدمة السحابية كـ IaaS وPaaS وSaaS وكيفية نشر نماذج الذكاء الاصطناعي على المنصات السحابية مثل AWS وGoogle Cloud وAzure.\nالمقرر 8 - نظرية الخوارزميات\nالاسم الإنجليزي: Algo\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: تحليل التعقيد، البرمجة الديناميكية، الخوارزميات الجشعة، التقسيم والتغليب.\nالوصف التفصيلي: يتعمق في تحليل تعقيد الخوارزميات من حيث الزمن والذاكرة ويُغطي خوارزميات التصميم المتقدمة كالبرمجة الديناميكية والخوارزميات الجشعة والتقسيم والتغليب.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 21, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم الرابع: مقررات السنة الثانية - اللون الكحلي / الأزرق الغامق" }, { "text": "يتعمق في تحليل تعقيد الخوارزميات من حيث الزمن والذاكرة ويُغطي خوارزميات التصميم المتقدمة كالبرمجة الديناميكية والخوارزميات الجشعة والتقسيم والتغليب.\nالمقرر 9 - الذكاء الاصطناعي\nالاسم الإنجليزي: AI\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: الإطار النظري الشامل لعلم الذكاء الاصطناعي.\nالوصف التفصيلي: المقرر المحوري الذي يدمج الخيوط المختلفة لعلم الذكاء الاصطناعي في إطار نظري ومنهجي شامل.\nالمقرر 10 - الإحصاء التطبيقي\nالاسم الإنجليزي: Statistics (تطبيقي)\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: الإحصاء الاستدلالي والتطبيقي والنمذجة الإحصائية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 22, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم الرابع: مقررات السنة الثانية - اللون الكحلي / الأزرق الغامق" }, { "text": "قرر 10 - الإحصاء التطبيقي\nالاسم الإنجليزي: Statistics (تطبيقي)\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: الإحصاء الاستدلالي والتطبيقي والنمذجة الإحصائية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 23, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم الرابع: مقررات السنة الثانية - اللون الكحلي / الأزرق الغامق" }, { "text": "القسم الخامس: مقررات السنة الثالثة - اللون البرتقالي\nتُمثّل 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": 24, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم الخامس: مقررات السنة الثالثة - اللون البرتقالي" }, { "text": "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": 25, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم الخامس: مقررات السنة الثالثة - اللون البرتقالي" }, { "text": "أ - مسار التعلم الآلي والبيانات\nالمقرر 1 - التعلم الآلي والشبكات العصبونية\nالاسم الإنجليزي: ML\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: خوارزميات التعلم الخاضع وغير الخاضع للإشراف، الشبكات العصبونية الاصطناعية.\nالوصف 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.\nالمقرر 2 - التعلم العميق\nالاسم الإنجليزي: Deep Learning\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: CNN, RNN, Transformers, نماذج اللغة الكبيرة.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 26, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "أ - مسار التعلم الآلي والبيانات" }, { "text": "التنبؤية.\nالمقرر 2 - التعلم العميق\nالاسم الإنجليزي: Deep Learning\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: CNN, RNN, Transformers, نماذج اللغة الكبيرة.\nالوصف 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.\nالمقرر 3 - البيانات الضخمة\nالاسم الإنجليزي: Big Data\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: Hadoop, Spark، معالجة البيانات الهائلة.\nالوصف 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": 27, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "أ - مسار التعلم الآلي والبيانات" }, { "text": "معالجة وتحليل مجموعات البيانات الهائلة التي تتجاوز إمكانيات الأنظمة التقليدية، باستخدام أطر العمل مثل Hadoop وSpark وأدوات البيانات الضخمة المتخصصة.\nالمقرر 4 - التمثيل المرئي للبيانات\nالاسم الإنجليزي: Data Visualization\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: Matplotlib, Seaborn, Tableau، تصميم لوحات البيانات.\nالوصف التفصيلي: يُدرِّب الطالب على تقنيات تحويل البيانات المعقدة إلى تصورات بصرية مفهومة ومقنعة باستخدام أدوات مثل Matplotlib وSeaborn وTableau.\nالمقرر 5 - البيانات الطبية\nالاسم الإنجليزي: Medical Data\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: الذكاء الاصطناعي في الصحة، السجلات الصحية الإلكترونية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 28, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "أ - مسار التعلم الآلي والبيانات" }, { "text": "لمقرر 5 - البيانات الطبية\nالاسم الإنجليزي: Medical Data\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: الذكاء الاصطناعي في الصحة، السجلات الصحية الإلكترونية.\nالوصف التفصيلي: يُركّز على تطبيقات الذكاء الاصطناعي في القطاع الصحي وكيفية التعامل مع البيانات الطبية الحساسة وبنية السجلات الصحية الإلكترونية والتحديات الأخلاقية المرتبطة بها.\nالمقرر 6 - المعلوماتية الحيوية\nالاسم الإنجليزي: Bioinformatics\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: تحليل التسلسلات الجينية، الذكاء الاصطناعي في علم الأحياء.\nالوصف التفصيلي: يستكشف تطبيقات الذكاء الاصطناعي في علم الأحياء وتحليل التسلسلات الجينية والبروتينية.\nالمقرر 7 - تمييز الأنماط وتحليل المعلومات\nالاسم الإنجليزي: Pattern and Analysis\nعدد الساعات المقترحة: 3 ساعات", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 29, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "أ - مسار التعلم الآلي والبيانات" }, { "text": "ء وتحليل التسلسلات الجينية والبروتينية.\nالمقرر 7 - تمييز الأنماط وتحليل المعلومات\nالاسم الإنجليزي: Pattern and Analysis\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: تقنيات التعرف على الأنماط في البيانات بمختلف أشكالها.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 30, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "أ - مسار التعلم الآلي والبيانات" }, { "text": "اط وتحليل المعلومات\nالاسم الإنجليزي: Pattern and Analysis\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: تقنيات التعرف على الأنماط في البيانات بمختلف أشكالها.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 31, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "أ - مسار التعلم الآلي والبيانات" }, { "text": "ب - مسار الرؤية الحاسوبية والواقع الافتراضي\nالمقرر 8 - الرؤية الحاسوبية\nالاسم الإنجليزي: Computer Vision\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: كشف الأشياء، التعرف على الوجوه، تقسيم الصور، تتبع الحركة.\nالوصف 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.\nالمقرر 9 - الواقع الافتراضي\nالاسم الإنجليزي: VR\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: بيئات المحاكاة، التفاعل المجسَّد، معالجة الإشارات المكانية.\nالوصف 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": 32, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "ب - مسار الرؤية الحاسوبية والواقع الافتراضي" }, { "text": "يستكشف تقنيات إنشاء البيئات المحاكاة والتفاعل معها، وهو مجال يتقاطع مع الذكاء الاصطناعي في تطبيقات مثل المحاكاة التدريبية ومعالجة الإشارات المكانية.\nالمقرر 10 - أطر نشر النماذج\nالاسم الإنجليزي: Frameworks\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: TensorFlow, PyTorch, Keras، نشر النماذج في الإنتاج.\nالوصف 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": 33, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "ب - مسار الرؤية الحاسوبية والواقع الافتراضي" }, { "text": "لي: 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": 34, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "ب - مسار الرؤية الحاسوبية والواقع الافتراضي" }, { "text": "ج - مسار أنظمة الحوسبة المتقدمة\nالمقرر 11 - الأنظمة المدمجة\nالاسم الإنجليزي: Embedded System\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: برمجة الأجهزة المحدودة الموارد وتطبيق الذكاء الاصطناعي عليها.\nالوصف التفصيلي: يُعرِّف الطالب ببرمجة وتصميم الأنظمة المدمجة والأجهزة ذات الموارد المحدودة التي تعمل بخوارزميات ذكاء اصطناعي مضغوطة.\nالمقرر 12 - إنترنت الأشياء\nالاسم الإنجليزي: IOT\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: ربط الأجهزة بالإنترنت، Edge AI، جمع البيانات من المستشعرات.\nالوصف التفصيلي: يُغطي مفاهيم ربط الأجهزة والمستشعرات بالإنترنت وجمع البيانات منها ومعالجتها بخوارزميات الذكاء الاصطناعي لتطبيقات الذكاء الاصطناعي على الحافة Edge AI.\nالمقرر 13 - قواعد البيانات غير العلائقية", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 35, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "ج - مسار أنظمة الحوسبة المتقدمة" }, { "text": "نترنت وجمع البيانات منها ومعالجتها بخوارزميات الذكاء الاصطناعي لتطبيقات الذكاء الاصطناعي على الحافة Edge AI.\nالمقرر 13 - قواعد البيانات غير العلائقية\nالاسم الإنجليزي: No SQL DB\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: MongoDB, Redis, Cassandra، تخزين البيانات غير المهيكلة.\nالوصف التفصيلي: يُدرِّب الطالب على قواعد البيانات من نوع MongoDB وCassandra وRedis المناسبة لتخزين بيانات التدريب غير المهيكلة.\nالمقرر 14 - أدوات قواعد البيانات\nالاسم الإنجليزي: DB Tools\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: الأدوات والتقنيات المتخصصة في إدارة وتحسين قواعد البيانات المستخدمة في تطبيقات الذكاء الاصطناعي.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 36, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "ج - مسار أنظمة الحوسبة المتقدمة" }, { "text": "ليزي: DB Tools\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: الأدوات والتقنيات المتخصصة في إدارة وتحسين قواعد البيانات المستخدمة في تطبيقات الذكاء الاصطناعي.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 37, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "ج - مسار أنظمة الحوسبة المتقدمة" }, { "text": "د - مسار إدارة المعرفة والمشاريع\nالمقرر 15 - إدارة مشاريع تكنولوجيا المعلومات\nالاسم الإنجليزي: ITE\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: مهارات إدارة مشاريع تكنولوجيا المعلومات المتكاملة.\nالمقرر 16 - إدارة المشاريع\nالاسم الإنجليزي: Project Management\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: منهجيات إدارة المشاريع الرشيقة والتقليدية.\nالمقرر 17 - الأنطولوجيا ومخططات المعرفة\nالاسم الإنجليزي: Ontologies\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: تمثيل المعرفة المهيكلة لأنظمة الاستدلال المنطقي وقواعد المعرفة.\nالوصف التفصيلي: يُغطي تمثيل المعرفة بأشكال مهيكلة تُستخدم في بناء أنظمة الاستدلال المنطقي وقواعد المعرفة.\nالمقرر 18 - تمثيل واستدلال المعرفة\nالاسم الإنجليزي: KRR\nعدد الساعات المقترحة: 3 ساعات", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 38, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "د - مسار إدارة المعرفة والمشاريع" }, { "text": "مهيكلة تُستخدم في بناء أنظمة الاستدلال المنطقي وقواعد المعرفة.\nالمقرر 18 - تمثيل واستدلال المعرفة\nالاسم الإنجليزي: KRR\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: تمثيل المعرفة البشرية حاسوبياً ومنطق الاستدلال الآلي.\nالوصف التفصيلي: يُعلِّم الطالب تقنيات تمثيل المعرفة البشرية بصيغ قابلة للمعالجة الحاسوبية ومنطق الاستدلال الآلي.\nالمقرر 19 - تطبيقات وتكنولوجيا ومخططات المعرفة\nالاسم الإنجليزي: Technologies And Applications\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: التطبيقات العملية لتكنولوجيا المعرفة في مختلف القطاعات.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 39, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "د - مسار إدارة المعرفة والمشاريع" }, { "text": "المعرفة\nالاسم الإنجليزي: Technologies And Applications\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: التطبيقات العملية لتكنولوجيا المعرفة في مختلف القطاعات.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 40, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "د - مسار إدارة المعرفة والمشاريع" }, { "text": "القسم السادس: مقررات السنة الرابعة - اللون الأحمر\nتُمثّل 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": 41, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم السادس: مقررات السنة الرابعة - اللون الأحمر" }, { "text": "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": 42, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم السادس: مقررات السنة الرابعة - اللون الأحمر" }, { "text": "أ - مسار معالجة اللغات الطبيعية NLP\nالمقرر 1 - معالجة اللغات الطبيعية\nالاسم الإنجليزي: NLP\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: فهم النص البشري، Word Embeddings، نماذج اللغة الأساسية.\nالوصف 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.\nالمقرر 2 - معالجة اللغات الطبيعية المتقدمة\nالاسم الإنجليزي: Adv NLP\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: Transformer, BERT, GPT، الإجابة على الأسئلة، التلخيص الآلي، أنظمة RAG.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 43, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "أ - مسار معالجة اللغات الطبيعية NLP" }, { "text": "بيعية المتقدمة\nالاسم الإنجليزي: Adv NLP\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: Transformer, BERT, GPT، الإجابة على الأسئلة، التلخيص الآلي، أنظمة RAG.\nالوصف 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.\nالمقرر 3 - هندسة اللغة العربية\nالاسم الإنجليزي: Arabic Eng\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: تحديات اللغة العربية، الصرف والنحو، تعدد اللهجات.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 44, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "أ - مسار معالجة اللغات الطبيعية NLP" }, { "text": ".\nالمقرر 3 - هندسة اللغة العربية\nالاسم الإنجليزي: Arabic Eng\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: تحديات اللغة العربية، الصرف والنحو، تعدد اللهجات.\nالوصف 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": 45, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "أ - مسار معالجة اللغات الطبيعية NLP" }, { "text": "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": 46, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "أ - مسار معالجة اللغات الطبيعية NLP" }, { "text": "ب - مسار معالجة الكلام والصوت\nالمقرر 4 - معالجة الكلام الرقمي\nالاسم الإنجليزي: Speech Process\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: التعرف على الكلام، توليد الصوت الاصطناعي، تحليل الإشارات الصوتية.\nالوصف 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": 47, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "ب - مسار معالجة الكلام والصوت" }, { "text": "لِّم 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": 48, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "ب - مسار معالجة الكلام والصوت" }, { "text": "ج - مسار الروبوتات والأنظمة الذكية المدمجة\nالمقرر 5 - الروبوتات الذكية\nالاسم الإنجليزي: Robotics\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: تصميم وبرمجة الروبوتات المستقلة.\nالوصف التفصيلي: يُدمج مبادئ الميكانيكا وعلم الحاسوب والذكاء الاصطناعي لتصميم وبرمجة الروبوتات المستقلة القادرة على التفاعل مع بيئتها.\nالمقرر 6 - الأنظمة المدمجة المتقدمة\nالاسم الإنجليزي: Adv Embedded\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: أنظمة حاسوبية عالية الأداء مع دمج خوارزميات ذكاء اصطناعي متقدمة.\nالوصف التفصيلي: امتداد لمقرر الأنظمة المدمجة يتناول تصميم الأنظمة الحاسوبية عالية الأداء ومحدودة الموارد مع دمج خوارزميات ذكاء اصطناعي متقدمة.\nالمقرر 7 - العملاء الذكيون\nالاسم الإنجليزي: Intelligent Agents", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 49, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "ج - مسار الروبوتات والأنظمة الذكية المدمجة" }, { "text": "م الأنظمة الحاسوبية عالية الأداء ومحدودة الموارد مع دمج خوارزميات ذكاء اصطناعي متقدمة.\nالمقرر 7 - العملاء الذكيون\nالاسم الإنجليزي: Intelligent Agents\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: تصميم الوكلاء ذاتيي القرار في البيئات الديناميكية.\nالوصف التفصيلي: يُغطي نظرية الوكلاء الذكيين وكيفية تصميم أنظمة ذاتية القرار تعمل في بيئات ديناميكية ومعقدة.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 50, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "ج - مسار الروبوتات والأنظمة الذكية المدمجة" }, { "text": "وكلاء ذاتيي القرار في البيئات الديناميكية.\nالوصف التفصيلي: يُغطي نظرية الوكلاء الذكيين وكيفية تصميم أنظمة ذاتية القرار تعمل في بيئات ديناميكية ومعقدة.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 51, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "ج - مسار الروبوتات والأنظمة الذكية المدمجة" }, { "text": "د - مسار التعلم المعزز والأنظمة المستقلة\nالمقرر 8 - التعلم المعزز\nالاسم الإنجليزي: Reinforcement Learning\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: تدريب الوكلاء بالمكافآت والعقوبات، Q-Learning، PPO.\nالوصف 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.\nالمقرر 9 - ذكاء الألعاب الحاسوبية\nالاسم الإنجليزي: Game AI\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: خوارزميات البحث في الفضاء الحالي، التعلم المعزز العميق في الألعاب.\nالوصف 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": 52, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "د - مسار التعلم المعزز والأنظمة المستقلة" }, { "text": "وصف التفصيلي: يُركّز على تطبيقات الذكاء الاصطناعي في بيئات الألعاب الحاسوبية بما يشمل خوارزميات البحث في الفضاء الحالي وتطبيقات التعلم المعزز العميق.\nالمقرر 10 - الأنظمة المتكيفة\nالاسم الإنجليزي: Adaptive Systems\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: بناء أنظمة تتكيف تلقائياً مع التغيرات دون إعادة برمجة يدوية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 53, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "د - مسار التعلم المعزز والأنظمة المستقلة" }, { "text": "الأنظمة المتكيفة\nالاسم الإنجليزي: Adaptive Systems\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: بناء أنظمة تتكيف تلقائياً مع التغيرات دون إعادة برمجة يدوية.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 54, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "د - مسار التعلم المعزز والأنظمة المستقلة" }, { "text": "هـ - مسار تفاعل الإنسان والحاسوب والويب\nالمقرر 11 - تطوير تطبيقات الويب\nالاسم الإنجليزي: Web\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: واجهات برمجة التطبيقات، تطبيقات الويب لخدمات الذكاء الاصطناعي.\nالوصف التفصيلي: يُركّز على بناء واجهات برمجة التطبيقات وتطبيقات الويب التي تُوفّر خدمات الذكاء الاصطناعي للمستخدمين النهائيين.\nالمقرر 12 - تفاعل الإنسان مع الحاسوب\nالاسم الإنجليزي: HCI\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: تصميم واجهات المستخدم، تجربة المستخدم لتطبيقات الذكاء الاصطناعي.\nالوصف التفصيلي: يُدرس علوم تصميم الواجهات البشرية الحاسوبية وكيفية بناء تجارب مستخدم بديهية وفعالة لتطبيقات الذكاء الاصطناعي.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 55, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "هـ - مسار تفاعل الإنسان والحاسوب والويب" }, { "text": "طبيقات الذكاء الاصطناعي.\nالوصف التفصيلي: يُدرس علوم تصميم الواجهات البشرية الحاسوبية وكيفية بناء تجارب مستخدم بديهية وفعالة لتطبيقات الذكاء الاصطناعي.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 56, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "هـ - مسار تفاعل الإنسان والحاسوب والويب" }, { "text": "و - مسار الشبكات الاجتماعية والمشكلات الحسابية\nالمقرر 13 - تحليل الشبكات الاجتماعية\nالاسم الإنجليزي: Social Net\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: استخراج المعرفة من شبكات التواصل الاجتماعي وتحليل مخططات الشبكات الضخمة.\nالمقرر 14 - المشكلات والتقنيات الحسابية\nالاسم الإنجليزي: Computational Problems\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: طيف واسع من مسائل الحوسبة الصعبة وكيفية التعامل معها.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 57, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "و - مسار الشبكات الاجتماعية والمشكلات الحسابية" }, { "text": "التقنيات الحسابية\nالاسم الإنجليزي: Computational Problems\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: طيف واسع من مسائل الحوسبة الصعبة وكيفية التعامل معها.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 58, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "و - مسار الشبكات الاجتماعية والمشكلات الحسابية" }, { "text": "ز - مسار الأمن الذكي\nالمقرر 15 - ذكاء الأمن الإلكتروني\nالاسم الإنجليزي: Security Intelligence\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: الذكاء الاصطناعي في الأمن السيبراني، كشف الهجمات وتحليل التهديدات الرقمية.\nالوصف 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": 59, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "ز - مسار الأمن الذكي" }, { "text": "تهديدات الرقمية.\nالوصف 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": 60, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "ز - مسار الأمن الذكي" }, { "text": "ح - مسار علم الإدراك والوسائط المتعددة الذكية\nالمقرر 16 - الإدراك\nالاسم الإنجليزي: Cognitive\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: العلاقة بين الذكاء الاصطناعي وعلوم الإدراك البشري.\nالوصف التفصيلي: يستكشف العلاقة بين الذكاء الاصطناعي وعلوم الإدراك البشري والأسس الفلسفية لمحاكاة التفكير البشري.\nالمقرر 17 - الأنظمة الذكية للوسائط المتعددة\nالاسم الإنجليزي: Multimedia Intelligent\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: معالجة وتحليل وتوليد المحتوى الرقمي المتعدد الوسائط باستخدام الذكاء الاصطناعي.\nالمقرر 18 - تفاعل الدماغ مع الحاسوب\nالاسم الإنجليزي: Brain-Computer Interaction\nعدد الساعات المقترحة: 3 ساعات", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 61, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "ح - مسار علم الإدراك والوسائط المتعددة الذكية" }, { "text": "تعدد الوسائط باستخدام الذكاء الاصطناعي.\nالمقرر 18 - تفاعل الدماغ مع الحاسوب\nالاسم الإنجليزي: Brain-Computer Interaction\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: الواجهات العصبية الحاسوبية وكيفية تمكين التواصل المباشر بين الدماغ البشري والحواسيب.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 62, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "ح - مسار علم الإدراك والوسائط المتعددة الذكية" }, { "text": "Brain-Computer Interaction\nعدد الساعات المقترحة: 3 ساعات\nالمحتوى: الواجهات العصبية الحاسوبية وكيفية تمكين التواصل المباشر بين الدماغ البشري والحواسيب.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 63, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "ح - مسار علم الإدراك والوسائط المتعددة الذكية" }, { "text": "القسم السابع: المقررات الاختيارية - اللون البرتقالي الفاتح\nتُشير 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.\nالمقرر الاختياري 1 - الإحصاء التطبيقي\nالاسم الإنجليزي: Applied Statistics\nالنوع: اختياري\nالوصف: يُغطي تقنيات الإحصاء الاستدلالي والتطبيقي المتقدمة وتطبيقاتها في تحليل بيانات مشاريع الذكاء الاصطناعي.\nالمقرر الاختياري 2 - هندسة البرمجيات للذكاء الاصطناعي\nالاسم الإنجليزي: Software-AI\nالنوع: اختياري\nالوصف: يُركّز على المنهجيات والأطر البرمجية المتخصصة في تطوير تطبيقات الذكاء الاصطناعي على نطاق واسع.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 64, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم السابع: المقررات الاختيارية - اللون البرتقالي الفاتح" }, { "text": "اعي\nالاسم الإنجليزي: Software-AI\nالنوع: اختياري\nالوصف: يُركّز على المنهجيات والأطر البرمجية المتخصصة في تطوير تطبيقات الذكاء الاصطناعي على نطاق واسع.\nالمقرر الاختياري 3 - أخلاقيات الذكاء الاصطناعي وعلم البيانات\nالاسم الإنجليزي: Ethics AI and DS\nالنوع: اختياري\nالوصف: يُعالج التساؤلات الأخلاقية والاجتماعية المرتبطة باستخدام الذكاء الاصطناعي كالتحيز في النماذج والشفافية والمساءلة والخصوصية والاستخدام المسؤول.\nالمقرر الاختياري 4 - ندوة صناعة البرمجيات\nالاسم الإنجليزي: Seminar\nالنوع: اختياري\nالوصف: 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": 65, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم السابع: المقررات الاختيارية - اللون البرتقالي الفاتح" }, { "text": "minar\nالنوع: اختياري\nالوصف: 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": 66, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم السابع: المقررات الاختيارية - اللون البرتقالي الفاتح" }, { "text": "القسم الثامن: متطلبات التخرج - المشاريع والإعداد الوظيفي\nتُعدّ 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.\nالمتطلب 1 - مشروع التخرج الأول\nرقم المقرر: 1931496\nالنوع: إلزامي\nالوصف: 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.\nالمتطلب 2 - مشروع التخرج الثاني\nرقم المقرر: 1931497\nالنوع: إلزامي\nالوصف: المرحلة الثانية والتكميلية من مشروع التخرج التي تتضمن تطوير المنتج وإتمام التنفيذ والاختبار والتوثيق الكاملين.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 67, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم الثامن: متطلبات التخرج - المشاريع والإعداد الوظيفي" }, { "text": "م المقرر: 1931497\nالنوع: إلزامي\nالوصف: المرحلة الثانية والتكميلية من مشروع التخرج التي تتضمن تطوير المنتج وإتمام التنفيذ والاختبار والتوثيق الكاملين.\nالمتطلب 3 - التدريب العملي الميداني\nرقم المقرر: 1931497\nالنوع: إلزامي\nالوصف: فترة تدريب ميداني إلزامية يقضيها الطالب في شركة أو مؤسسة تقنية متخصصة يُطبّق فيها معارفه ومهاراته في بيئة عمل حقيقية.\nالمتطلب 4 - الإعداد الوظيفي\nرقم المقرر: 1931498\nالنوع: إلزامي\nالوصف: مقرر يُجهِّز الطالب للانتقال من الحياة الأكاديمية إلى سوق العمل من خلال تطوير مهارات كتابة السيرة الذاتية وتحضير المقابلات الوظيفية وبناء الشبكة المهنية.\nالمتطلب 5 - موضوعات خاصة\nالاسم الإنجليزي: Special Topics\nرقم المقرر: 1931499\nالنوع: اختياري", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 68, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم الثامن: متطلبات التخرج - المشاريع والإعداد الوظيفي" }, { "text": "ة الذاتية وتحضير المقابلات الوظيفية وبناء الشبكة المهنية.\nالمتطلب 5 - موضوعات خاصة\nالاسم الإنجليزي: Special Topics\nرقم المقرر: 1931499\nالنوع: اختياري\nالوصف: 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": 69, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم الثامن: متطلبات التخرج - المشاريع والإعداد الوظيفي" }, { "text": "99\nالنوع: اختياري\nالوصف: 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": 70, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم الثامن: متطلبات التخرج - المشاريع والإعداد الوظيفي" }, { "text": "القسم التاسع: الجداول الدراسية المقترحة لكل فصل دراسي\nاستناداً 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": 71, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم التاسع: الجداول الدراسية المقترحة لكل فصل دراسي" }, { "text": "ابقة 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": 72, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم التاسع: الجداول الدراسية المقترحة لكل فصل دراسي" }, { "text": "الفصل الأول - السنة الأولى (Year 1 - Semester 1)\nيُركّز الفصل الأول على المتطلبات التمهيدية الأساسية التي تُمهّد الطريق للمقررات التخصصية.\nالمقرر 1: CS99 - أساسيات الحاسوب | الساعات: 3 | المستوى: تمهيدي\nالمقرر 2: Intro C++ - مقدمة في البرمجة C++ | الساعات: 3 | المستوى: تمهيدي\nالمقرر 3: Calculus 1 - تفاضل وتكامل 1 | الساعات: 3 | المستوى: تمهيدي\nالمقرر 4: fund - أساسيات تكنولوجيا المعلومات | الساعات: 3 | المستوى: تمهيدي\nالمقرر 5: Discrete - رياضيات منفصلة | الساعات: 3 | المستوى: تمهيدي\nالمجموع الكلي للفصل الأول: 15 ساعة معتمدة | المجموع التراكمي: 15 ساعة", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 73, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "الفصل الأول - السنة الأولى (Year 1 - Semester 1)" }, { "text": "مستوى: تمهيدي\nالمقرر 5: Discrete - رياضيات منفصلة | الساعات: 3 | المستوى: تمهيدي\nالمجموع الكلي للفصل الأول: 15 ساعة معتمدة | المجموع التراكمي: 15 ساعة", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 74, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "الفصل الأول - السنة الأولى (Year 1 - Semester 1)" }, { "text": "الفصل الثاني - السنة الأولى (Year 1 - Semester 2)\nيُركّز الفصل الثاني على استكمال المتطلبات الأساسية وبدء الدخول في المقررات التخصصية الأولى.\nالمقرر 1: Linear Algebra - الجبر الخطي لعلوم الحوسبة | الساعات: 3 | المستوى: تمهيدي\nالمقرر 2: OOP - البرمجة كائنية التوجه | الساعات: 3 | المستوى: سنة أولى\nالمقرر 3: Info to AI - مقدمة في الذكاء الاصطناعي | الساعات: 3 | المستوى: سنة أولى\nالمقرر 4: Data Structures - تراكيب البيانات | الساعات: 3 | المستوى: سنة أولى\nالمقرر 5: Statistics - مبادئ الإحصاء | الساعات: 3 | المستوى: سنة أولى\nالمجموع الكلي للفصل الثاني: 15 ساعة معتمدة | المجموع التراكمي: 30 ساعة", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 75, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "الفصل الثاني - السنة الأولى (Year 1 - Semester 2)" }, { "text": "سنة أولى\nالمقرر 5: Statistics - مبادئ الإحصاء | الساعات: 3 | المستوى: سنة أولى\nالمجموع الكلي للفصل الثاني: 15 ساعة معتمدة | المجموع التراكمي: 30 ساعة", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 76, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "الفصل الثاني - السنة الأولى (Year 1 - Semester 2)" }, { "text": "الفصل الثالث - السنة الثانية (Year 2 - Semester 1)\nيبدأ الطالب في هذا الفصل التعمق في المقررات التقنية المتخصصة التي تُشكّل البنية التحتية لمهاراته في الذكاء الاصطناعي.\nالمقرر 1: Networks - شبكات الحاسوب | الساعات: 3 | المستوى: سنة أولى / ثانية\nالمقرر 2: AI-Prog - برمجة الذكاء الاصطناعي | الساعات: 3 | المستوى: سنة ثانية\nالمقرر 3: DataBase - أنظمة إدارة قواعد البيانات | الساعات: 3 | المستوى: سنة ثانية\nالمقرر 4: Algo - نظرية الخوارزميات | الساعات: 3 | المستوى: سنة ثانية\nالمقرر 5: AI - الذكاء الاصطناعي | الساعات: 3 | المستوى: سنة ثانية\nالمجموع الكلي للفصل الثالث: 15 ساعة معتمدة | المجموع التراكمي: 45 ساعة - الحد الأدنى المطلوب للمرحلة الأولى", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 77, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "الفصل الثالث - السنة الثانية (Year 2 - Semester 1)" }, { "text": "لاصطناعي | الساعات: 3 | المستوى: سنة ثانية\nالمجموع الكلي للفصل الثالث: 15 ساعة معتمدة | المجموع التراكمي: 45 ساعة - الحد الأدنى المطلوب للمرحلة الأولى", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 78, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "الفصل الثالث - السنة الثانية (Year 2 - Semester 1)" }, { "text": "الفصل الرابع - السنة الثانية (Year 2 - Semester 2)\nيستكمل الطالب في هذا الفصل مقررات السنة الثانية الأساسية ويبدأ التعرف على التخصصات الفرعية.\nالمقرر 1: Adv AI-Prog - برمجة الذكاء الاصطناعي المتقدمة | الساعات: 3 | المستوى: سنة ثانية\nالمقرر 2: Info Security - أمن وخصوصية المعلومات | الساعات: 3 | المستوى: سنة ثانية\nالمقرر 3: Software - هندسة البرمجيات | الساعات: 3 | المستوى: سنة ثانية\nالمقرر 4: Data Mining - التنقيب في البيانات | الساعات: 3 | المستوى: سنة ثانية\nالمقرر 5: Cloud Computing - الحوسبة السحابية | الساعات: 3 | المستوى: سنة ثانية\nالمجموع الكلي للفصل الرابع: 15 ساعة معتمدة | المجموع التراكمي: 60 ساعة", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 79, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "الفصل الرابع - السنة الثانية (Year 2 - Semester 2)" }, { "text": "المقرر 5: Cloud Computing - الحوسبة السحابية | الساعات: 3 | المستوى: سنة ثانية\nالمجموع الكلي للفصل الرابع: 15 ساعة معتمدة | المجموع التراكمي: 60 ساعة", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 80, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "الفصل الرابع - السنة الثانية (Year 2 - Semester 2)" }, { "text": "الفصل الخامس - السنة الثالثة (Year 3 - Semester 1)\nتبدأ في هذا الفصل مرحلة التخصص العميق حيث يدرس الطالب المقررات الفرعية المتخصصة في التعلم الآلي والبيانات والأنظمة.\nالمقرر 1: ML - التعلم الآلي والشبكات العصبونية | الساعات: 3 | المستوى: سنة ثالثة\nالمقرر 2: Computer Vision - الرؤية الحاسوبية | الساعات: 3 | المستوى: سنة ثالثة\nالمقرر 3: Big Data - البيانات الضخمة | الساعات: 3 | المستوى: سنة ثالثة\nالمقرر 4: Embedded System - الأنظمة المدمجة | الساعات: 3 | المستوى: سنة ثالثة\nالمقرر 5: KRR - تمثيل واستدلال المعرفة | الساعات: 3 | المستوى: سنة ثالثة\nالمجموع الكلي للفصل الخامس: 15 ساعة معتمدة | المجموع التراكمي: 75 ساعة", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 81, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "الفصل الخامس - السنة الثالثة (Year 3 - Semester 1)" }, { "text": "ثالثة\nالمقرر 5: KRR - تمثيل واستدلال المعرفة | الساعات: 3 | المستوى: سنة ثالثة\nالمجموع الكلي للفصل الخامس: 15 ساعة معتمدة | المجموع التراكمي: 75 ساعة", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 82, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "الفصل الخامس - السنة الثالثة (Year 3 - Semester 1)" }, { "text": "الفصل السادس - السنة الثالثة (Year 3 - Semester 2)\nيستكمل الطالب في هذا الفصل مقررات السنة الثالثة ويبدأ التحضير للمشاريع التخرجية.\nالمقرر 1: Deep Learning - التعلم العميق | الساعات: 3 | المستوى: سنة ثالثة\nالمقرر 2: Data Visualization - التمثيل المرئي للبيانات | الساعات: 3 | المستوى: سنة ثالثة\nالمقرر 3: IOT - إنترنت الأشياء | الساعات: 3 | المستوى: سنة ثالثة\nالمقرر 4: Ontologies - الأنطولوجيا ومخططات المعرفة | الساعات: 3 | المستوى: سنة ثالثة\nالمقرر 5: Pattern & Analysis - تمييز الأنماط وتحليل المعلومات | الساعات: 3 | المستوى: سنة ثالثة\nالمجموع الكلي للفصل السادس: 15 ساعة معتمدة | المجموع التراكمي: 90 ساعة - الحد المطلوب لاجتياز متطلب التسعين ساعة", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 83, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "الفصل السادس - السنة الثالثة (Year 3 - Semester 2)" }, { "text": "مات | الساعات: 3 | المستوى: سنة ثالثة\nالمجموع الكلي للفصل السادس: 15 ساعة معتمدة | المجموع التراكمي: 90 ساعة - الحد المطلوب لاجتياز متطلب التسعين ساعة", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 84, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "الفصل السادس - السنة الثالثة (Year 3 - Semester 2)" }, { "text": "الفصل السابع - السنة الرابعة (Year 4 - Semester 1)\nيبدأ الطالب في هذا الفصل المقررات المتخصصة الأعمق وينجز المشروع الأول وأحد المقررات الاختيارية.\nالمقرر 1: NLP - معالجة اللغات الطبيعية | الساعات: 3 | المستوى: سنة رابعة\nالمقرر 2: Reinforcement Learning - التعلم المعزز | الساعات: 3 | المستوى: سنة رابعة\nالمقرر 3: Robotics - الروبوتات الذكية | الساعات: 3 | المستوى: سنة رابعة\nالمقرر 4: Ethics AI & DS - أخلاقيات الذكاء الاصطناعي وعلم البيانات | الساعات: 3 | المستوى: اختياري\nالمقرر 5: مشروع التخرج الأول رقم 1931496 | الساعات: 3 | المستوى: إلزامي\nالمجموع الكلي للفصل السابع: 15 ساعة معتمدة | المجموع التراكمي: 105 ساعة", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 85, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "الفصل السابع - السنة الرابعة (Year 4 - Semester 1)" }, { "text": "ختياري\nالمقرر 5: مشروع التخرج الأول رقم 1931496 | الساعات: 3 | المستوى: إلزامي\nالمجموع الكلي للفصل السابع: 15 ساعة معتمدة | المجموع التراكمي: 105 ساعة", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 86, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "الفصل السابع - السنة الرابعة (Year 4 - Semester 1)" }, { "text": "الفصل الثامن - السنة الرابعة (Year 4 - Semester 2)\nيختتم الطالب مسيرته الأكاديمية في هذا الفصل بإنجاز المشروع الثاني واستكمال مقررات السنة الرابعة المتبقية والتدريب الميداني.\nالمقرر 1: Adv NLP - معالجة اللغات الطبيعية المتقدمة | الساعات: 3 | المستوى: سنة رابعة\nالمقرر 2: HCI - تفاعل الإنسان مع الحاسوب | الساعات: 3 | المستوى: سنة رابعة\nالمقرر 3: Security Intelligence - ذكاء الأمن الإلكتروني | الساعات: 3 | المستوى: سنة رابعة\nالمقرر 4: تدريب ميداني رقم 1931497 | الساعات: 3 | المستوى: إلزامي\nالمقرر 5: مشروع التخرج الثاني رقم 1931497 | الساعات: 3 | المستوى: إلزامي\nالمقرر 6: الإعداد الوظيفي رقم 1931498 | الساعات: 3 | المستوى: إلزامي", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 87, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "الفصل الثامن - السنة الرابعة (Year 4 - Semester 2)" }, { "text": "إلزامي\nالمقرر 5: مشروع التخرج الثاني رقم 1931497 | الساعات: 3 | المستوى: إلزامي\nالمقرر 6: الإعداد الوظيفي رقم 1931498 | الساعات: 3 | المستوى: إلزامي\nالمجموع الكلي للفصل الثامن: 18 ساعة معتمدة | المجموع التراكمي النهائي: 123 ساعة - اكتمال جميع متطلبات التخرج", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 88, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "الفصل الثامن - السنة الرابعة (Year 4 - Semester 2)" }, { "text": "قم 1931498 | الساعات: 3 | المستوى: إلزامي\nالمجموع الكلي للفصل الثامن: 18 ساعة معتمدة | المجموع التراكمي النهائي: 123 ساعة - اكتمال جميع متطلبات التخرج", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 89, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "الفصل الثامن - السنة الرابعة (Year 4 - Semester 2)" }, { "text": "القسم العاشر: أسئلة وأجوبة متوقعة لنظام RAG - بوت المساعدة الطلابية\nيحتوي 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.\nالسؤال 1: ما هي المقررات التي يجب أن أدرسها في السنة الأولى من تخصص الذكاء الاصطناعي في الجامعة الأردنية؟\nالجواب: 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": 90, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم العاشر: أسئلة وأجوبة متوقعة لنظام RAG - بوت المساعدة الطلابية" }, { "text": "لمقررات التمهيدية التالية: أساسيات الحاسوب CS99 ومقدمة 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.\nالسؤال 2: ما هو مقرر NLP في الجامعة الأردنية وما الذي يدرسه الطالب فيه؟", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 91, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم العاشر: أسئلة وأجوبة متوقعة لنظام RAG - بوت المساعدة الطلابية" }, { "text": "صطناعي Info to AI وتراكيب البيانات Data Structures ومبادئ الإحصاء Statistics.\nالسؤال 2: ما هو مقرر NLP في الجامعة الأردنية وما الذي يدرسه الطالب فيه؟\nالجواب: 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": 92, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم العاشر: أسئلة وأجوبة متوقعة لنظام RAG - بوت المساعدة الطلابية" }, { "text": "شري وتوليده وترجمته، ويُغطي محتواه موضوعات مثل التحليل 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.\nالسؤال 3: كم ساعة يحتاج الطالب لإتمام تخصص الذكاء الاصطناعي في الجامعة الأردنية؟\nالجواب: 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": 93, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم العاشر: أسئلة وأجوبة متوقعة لنظام RAG - بوت المساعدة الطلابية" }, { "text": "اء 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. وتشمل هذه الساعات جميع المقررات الإلزامية من المتطلبات التمهيدية ومقررات السنوات الأربع إضافةً إلى مشروع التخرج والتدريب الميداني والإعداد الوظيفي.\nالسؤال 4: ما الفرق بين مقرر Deep Learning ومقرر ML في تخصص الذكاء الاصطناعي بالجامعة الأردنية؟\nالجواب: 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": 94, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم العاشر: أسئلة وأجوبة متوقعة لنظام RAG - بوت المساعدة الطلابية" }, { "text": "ميات التعلم الخاضع للإشراف كالانحدار والتصنيف والأشجار، 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.\nالسؤال 5: ما هي المقررات المتعلقة باللغة العربية في تخصص الذكاء الاصطناعي بالجامعة الأردنية؟", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 95, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم العاشر: أسئلة وأجوبة متوقعة لنظام RAG - بوت المساعدة الطلابية" }, { "text": "يانات Transformers التي تُشكّل أساس نماذج اللغة الكبيرة.\nالسؤال 5: ما هي المقررات المتعلقة باللغة العربية في تخصص الذكاء الاصطناعي بالجامعة الأردنية؟\nالجواب: 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.\nالسؤال 6: ما هي متطلبات مشروع التخرج في تخصص الذكاء الاصطناعي في الجامعة الأردنية؟", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 96, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم العاشر: أسئلة وأجوبة متوقعة لنظام RAG - بوت المساعدة الطلابية" }, { "text": "يف وتعدد اللهجات العربية وكيفية بناء نماذج NLP مخصصة للغة العربية.\nالسؤال 6: ما هي متطلبات مشروع التخرج في تخصص الذكاء الاصطناعي في الجامعة الأردنية؟\nالجواب: 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. 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": 97, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم العاشر: أسئلة وأجوبة متوقعة لنظام RAG - بوت المساعدة الطلابية" }, { "text": "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": 98, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم العاشر: أسئلة وأجوبة متوقعة لنظام RAG - بوت المساعدة الطلابية" }, { "text": "القسم الحادي عشر: علاقات الترابط بين المقررات والمتطلبات السابقة\nيُعدّ فهم العلاقات التسلسلية بين المقررات أمراً جوهرياً لتخطيط الجدول الدراسي الأمثل.\nالترابط 1: OOP يسبقه Intro C++\nمقرر 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.\nالترابط 2: Data Structures يسبقه Intro C++\nمقرر تراكيب البيانات Data Structures يسبقه مقرر مقدمة في البرمجة C++ كمتطلب سابق إلزامي، لأن تنفيذ تراكيب البيانات يتطلب كفاءة برمجية أساسية.\nالترابط 3: AI و AI-Prog يسبقهما Info to AI", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 99, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم الحادي عشر: علاقات الترابط بين المقررات والمتطلبات السابقة" }, { "text": "s يسبقه مقرر مقدمة في البرمجة C++ كمتطلب سابق إلزامي، لأن تنفيذ تراكيب البيانات يتطلب كفاءة برمجية أساسية.\nالترابط 3: AI و AI-Prog يسبقهما Info to AI\nمقرر الذكاء الاصطناعي AI ومقرر برمجة الذكاء الاصطناعي AI-Prog يسبقهما مقرر مقدمة في الذكاء الاصطناعي Info to AI والذي يُقدّم الإطار النظري الضروري.\nالترابط 4: Adv AI-Prog يسبقه AI-Prog\nمقرر برمجة الذكاء الاصطناعي المتقدمة Adv AI-Prog يسبقه مقرر برمجة الذكاء الاصطناعي AI-Prog وهو امتداد مباشر له.\nالترابط 5: ML يسبقه Statistics و Linear Algebra و AI-Prog", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 100, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم الحادي عشر: علاقات الترابط بين المقررات والمتطلبات السابقة" }, { "text": "اصطناعي المتقدمة Adv AI-Prog يسبقه مقرر برمجة الذكاء الاصطناعي AI-Prog وهو امتداد مباشر له.\nالترابط 5: ML يسبقه Statistics و Linear Algebra و AI-Prog\nمقرر 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.\nالترابط 6: Deep Learning يسبقه ML\nمقرر التعلم العميق Deep Learning يسبقه مقرر التعلم الآلي ML لأن التعلم العميق هو توسعة متقدمة للتعلم الآلي.\nالترابط 7: NLP يُنصح بإتمام ML قبله\nمقرر معالجة اللغات الطبيعية NLP يُنصح بإتمام مقرر التعلم الآلي ML قبله نظراً لاعتماده على خوارزميات التعلم الإحصائي والعصبوني.\nالترابط 8: Adv NLP يسبقه NLP", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 101, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم الحادي عشر: علاقات الترابط بين المقررات والمتطلبات السابقة" }, { "text": "عالجة اللغات الطبيعية NLP يُنصح بإتمام مقرر التعلم الآلي ML قبله نظراً لاعتماده على خوارزميات التعلم الإحصائي والعصبوني.\nالترابط 8: Adv NLP يسبقه NLP\nمقرر معالجة اللغات الطبيعية المتقدمة Adv NLP يسبقه مقرر NLP الأساسي إلزامياً.\nالترابط 9: Data Mining يُنصح بإتمام DataBase و Statistics قبله\nمقرر التنقيب في البيانات Data Mining يُنصح بإتمام مقرر قواعد البيانات DataBase ومقرر الإحصاء Statistics قبله.\nالترابط 10: Big Data يُنصح بإتمام Data Mining و DataBase قبله\nمقرر البيانات الضخمة Big Data يُنصح بإتمام مقرر التنقيب في البيانات Data Mining ومقرر قواعد البيانات DataBase قبله.\nالترابط 11: Reinforcement Learning يُنصح بإتمام ML قبله", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 102, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم الحادي عشر: علاقات الترابط بين المقررات والمتطلبات السابقة" }, { "text": "ig Data يُنصح بإتمام مقرر التنقيب في البيانات Data Mining ومقرر قواعد البيانات DataBase قبله.\nالترابط 11: Reinforcement Learning يُنصح بإتمام ML قبله\nمقرر التعلم المعزز Reinforcement Learning يُنصح بإتمام مقرر التعلم الآلي ML قبله لأن التعلم المعزز يبني على مفاهيم التعلم الآلي الأساسية.\nالترابط 12: مقررات السنة الرابعة تفترض إتمام غالبية مقررات السنتين الثانية والثالثة\nمقررات 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": 103, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم الحادي عشر: علاقات الترابط بين المقررات والمتطلبات السابقة" }, { "text": "ين الثانية والثالثة\nمقررات 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": 104, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم الحادي عشر: علاقات الترابط بين المقررات والمتطلبات السابقة" }, { "text": "القسم الثاني عشر: المسارات التخصصية الفرعية في تخصص الذكاء الاصطناعي\nيُتيح 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.\nالمسار 1 - معالجة اللغات الطبيعية وبناء نماذج اللغة الكبيرة\nالتركيز: بناء نماذج معالجة النصوص البشرية وتطبيقاتها مثل روبوتات الدردشة وأنظمة الترجمة الآلية والتلخيص والإجابة على الأسئلة وأنظمة RAG.\nالمقررات الأساسية: Statistics, ML, Deep Learning, NLP, Adv NLP, Arabic Eng, Software-AI.\nالمسار 2 - الرؤية الحاسوبية ومعالجة الصور\nالتركيز: تطبيقات معالجة الصور والفيديو وتمكين الحواسيب من رؤية وتفسير المحتوى البصري.", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 105, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم الثاني عشر: المسارات التخصصية الفرعية في تخصص الذكاء الاصطناعي" }, { "text": "bic Eng, Software-AI.\nالمسار 2 - الرؤية الحاسوبية ومعالجة الصور\nالتركيز: تطبيقات معالجة الصور والفيديو وتمكين الحواسيب من رؤية وتفسير المحتوى البصري.\nالمقررات الأساسية: ML, Deep Learning, Computer Vision, Pattern & Analysis, Medical Data.\nالمسار 3 - البيانات الضخمة وهندسة البيانات\nالتركيز: بناء البنية التحتية لجمع وتخزين ومعالجة وتحليل كميات هائلة من البيانات.\nالمقررات الأساسية: DataBase, No SQL DB, Data Mining, Big Data, Data Visualization, Cloud Computing.\nالمسار 4 - الروبوتات والأنظمة الذكية المدمجة\nالتركيز: تصميم وبرمجة الروبوتات والأجهزة الذكية.\nالمقررات الأساسية: Embedded System, IOT, Robotics, Adv Embedded, Reinforcement Learning.\nالمسار 5 - الأمن الذكي والذكاء السيبراني", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 106, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم الثاني عشر: المسارات التخصصية الفرعية في تخصص الذكاء الاصطناعي" }, { "text": "ات والأجهزة الذكية.\nالمقررات الأساسية: Embedded System, IOT, Robotics, Adv Embedded, Reinforcement Learning.\nالمسار 5 - الأمن الذكي والذكاء السيبراني\nالتركيز: تطبيقات الذكاء الاصطناعي في مجال أمن المعلومات.\nالمقررات الأساسية: Info Security, Security Intelligence, Data Mining, ML.\nالمسار 6 - تفاعل الإنسان والحاسوب وتطوير تطبيقات الذكاء الاصطناعي\nالتركيز: بناء واجهات المستخدم وتطبيقات الويب وأدوات التفاعل مع نماذج الذكاء الاصطناعي.\nالمقررات الأساسية: HCI, Web, VR, Brain-Computer Interaction, Multimedia Intelligent.\nنهاية الوثيقة - أُعِدَّت لاستخدامها في نظام RAG لبوت المساعدة الطلابية - كلية iTeam - الجامعة الأردنية", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 107, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم الثاني عشر: المسارات التخصصية الفرعية في تخصص الذكاء الاصطناعي" }, { "text": "n-Computer Interaction, Multimedia Intelligent.\nنهاية الوثيقة - أُعِدَّت لاستخدامها في نظام RAG لبوت المساعدة الطلابية - كلية iTeam - الجامعة الأردنية", "source": "AI_Curriculum_RAG_Structured.docx", "chunk_id": 108, "language": "Arabic", "was_translated": false, "doc_type": "curriculum", "section_title": "القسم الثاني عشر: المسارات التخصصية الفرعية في تخصص الذكاء الاصطناعي" }, { "text": "Artificial Intelligence Curriculum University of Jordan\nFaculty of Information Technology (iTeam) | Four-Year Academic Plan", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 1, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Curriculum University of Jordan\nFaculty of Information Technology (iTeam) | Four-Year Academic Plan", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 2, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Program Overview\nThe University of Jordan offers a comprehensive four-year undergraduate degree in Artificial 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": 3, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Program Overview" }, { "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": 4, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Program Overview" }, { "text": "nal prerequisites and advancing through increasingly specialized topics across four academic years.\nTo 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, "doc_type": "curriculum", "section_title": "Program Overview" }, { "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. 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": 6, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Program Overview" }, { "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": 7, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Program Overview" }, { "text": "Prerequisite and Foundation Courses\nBefore 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. 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": 8, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Prerequisite and Foundation Courses" }, { "text": "t and second semesters of Year 1 and are prerequisites for most upper-level courses in the program.\nThe 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": 9, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Prerequisite and Foundation Courses" }, { "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": 10, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Prerequisite and Foundation Courses" }, { "text": "essential preparation for the Object-Oriented Programming course that follows in the next semester.\nDiscrete Mathematics covers mathematical logic, set theory, data structures theory, and fundamental algorithms, 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": 11, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Prerequisite and Foundation Courses" }, { "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": 12, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Prerequisite and Foundation Courses" }, { "text": "s of Information Technology reinforces concepts in information systems and communication technology.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 13, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Prerequisite and Foundation Courses" }, { "text": "Year 1 Courses Teal Color Code\nThe 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. 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": 14, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 1 Courses — Teal Color Code" }, { "text": "are color-coded teal in the official study plan approved by the Faculty of Information Technology.\nObject-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. These concepts are essential for understanding the architecture of AI libraries and frameworks such as TensorFlow and PyTorch.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 15, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 1 Courses — Teal Color Code" }, { "text": "al 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.\nComputer Networks is a three-credit-hour course covering communication protocols, the OSI model, TCP/IP, internet fundamentals, and basic network security.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 16, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 1 Courses — Teal Color Code" }, { "text": "g 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. 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": 17, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 1 Courses — Teal Color Code" }, { "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.\nIntroduction 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": 18, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 1 Courses — Teal Color Code" }, { "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. Principles of Statistics is a three-credit-hour course covering descriptive and inferential statistics, probability distributions, and statistical testing.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 19, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 1 Courses — Teal Color Code" }, { "text": "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": 20, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 1 Courses — Teal Color Code" }, { "text": "stical testing. These tools are fundamental to understanding and evaluating machine learning models.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 21, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 1 Courses — Teal Color Code" }, { "text": "Year 2 Courses Dark Navy Color Code\nThe 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. 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": 22, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 2 Courses — Dark Navy Color Code" }, { "text": "ermediate technical knowledge and serve as prerequisites for the advanced courses in Years 3 and 4.\nAI 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": 23, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 2 Courses — Dark Navy Color Code" }, { "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": 24, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 2 Courses — Dark Navy Color Code" }, { "text": "arning models from scratch and performance optimization. AI-Prog is a prerequisite for Adv AI-Prog.\nDatabase 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": 25, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 2 Courses — Dark Navy Color Code" }, { "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": 26, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 2 Courses — Dark Navy Color Code" }, { "text": "is especially relevant given that AI models often handle sensitive personal and institutional data.\nSoftware 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": 27, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 2 Courses — Dark Navy Color Code" }, { "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. 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": 28, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 2 Courses — Dark Navy Color Code" }, { "text": "SaaS, and the deployment of AI models on platforms such as AWS, Google Cloud, and Microsoft Azure.\nAlgorithm 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": 29, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 2 Courses — Dark Navy Color Code" }, { "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. 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": 30, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 2 Courses — Dark Navy Color Code" }, { "text": "tical analysis and statistical modeling, building on the foundational statistics course from Year 1.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 31, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 2 Courses — Dark Navy Color Code" }, { "text": "Year 3 Courses Orange Color Code\nThe 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. The courses are organized across several thematic tracks covering machine learning, data engineering, computer vision, embedded systems, and knowledge management.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 32, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 3 Courses — Orange Color Code" }, { "text": "ing machine learning, data engineering, computer vision, embedded systems, and knowledge management.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 33, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 3 Courses — Orange Color Code" }, { "text": "Machine Learning and Data Track\nMachine 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": 34, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Machine Learning and Data Track" }, { "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": 35, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Machine Learning and Data Track" }, { "text": "Neural Networks (RNN), and Transformers the technical foundation underlying large language models.\nBig 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. 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": 36, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Machine Learning and Data Track" }, { "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. Bioinformatics is a three-credit-hour course exploring AI applications in biology, including genetic and protein sequence analysis.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 37, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Machine Learning and Data Track" }, { "text": "t-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": 38, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Machine Learning and Data Track" }, { "text": "is a three-credit-hour course covering techniques for recognizing patterns in data of various forms.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 39, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Machine Learning and Data Track" }, { "text": "Computer Vision and Virtual Reality Track\nComputer 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": 40, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Computer Vision and Virtual Reality Track" }, { "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": 41, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Computer Vision and Virtual Reality Track" }, { "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": 42, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Computer Vision and Virtual Reality Track" }, { "text": "s including TensorFlow, PyTorch, and Keras, and deploying trained models in production environments.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 43, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Computer Vision and Virtual Reality Track" }, { "text": "Advanced Computing Systems Track\nEmbedded 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. 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": 44, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Advanced Computing Systems Track" }, { "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. 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": 45, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Advanced Computing Systems Track" }, { "text": "ng specialized tools and technologies for managing and optimizing databases used in AI applications.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 46, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Advanced Computing Systems Track" }, { "text": "Knowledge Management and Project Track\nIT Project Management (ITE) and Project Management are both three-credit-hour courses 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": 47, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Knowledge Management and Project Track" }, { "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. 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": 48, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Knowledge Management and Project Track" }, { "text": "credit-hour course addressing practical applications of knowledge technology across various sectors.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 49, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Knowledge Management and Project Track" }, { "text": "Year 4 Courses Red Color Code\nThe fourth year 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": 50, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 4 Courses — Red Color Code" }, { "text": "ns, and mandatory graduation projects that consolidate student skills before entering the workforce.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 51, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 4 Courses — Red Color Code" }, { "text": "Natural Language Processing Track\nNatural Language Processing (NLP) is the pivotal three-credit-hour course 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": 52, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Natural Language Processing Track" }, { "text": "s recommended after completing ML due to its reliance on statistical and neural learning algorithms. 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": 53, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Natural Language Processing Track" }, { "text": "ion, and Retrieval-Augmented Generation (RAG) systems. NLP is a mandatory prerequisite for Adv NLP.\nArabic 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": 54, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Natural Language Processing Track" }, { "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": 55, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Natural Language Processing Track" }, { "text": "language, making it highly relevant for AI applications targeting Arabic-speaking users and markets.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 56, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Natural Language Processing Track" }, { "text": "Speech and Audio Processing Track\nDigital Speech Processing (Speech Process) is a three-credit-hour course 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": 57, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Speech and Audio Processing Track" }, { "text": "s. It provides the technical foundation for AI applications that involve spoken language interfaces.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 58, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Speech and Audio Processing Track" }, { "text": "Robotics and Intelligent Embedded Systems Track\nIntelligent 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": 59, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Robotics and Intelligent Embedded Systems Track" }, { "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": 60, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Robotics and Intelligent Embedded Systems Track" }, { "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": 61, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Robotics and Intelligent Embedded Systems Track" }, { "text": "d how to design autonomous decision-making systems that operate in dynamic and complex environments.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 62, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Robotics and Intelligent Embedded Systems Track" }, { "text": "Reinforcement Learning and Autonomous Systems Track\nReinforcement Learning is a three-credit-hour course teaching students how 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": 63, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Reinforcement Learning and Autonomous Systems Track" }, { "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. 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": 64, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Reinforcement Learning and Autonomous Systems Track" }, { "text": "ng the design of systems that automatically adapt to changes without requiring manual reprogramming.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 65, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Reinforcement Learning and Autonomous Systems Track" }, { "text": "Human-Computer Interaction and Web Track\nWeb Application Development (Web) is a three-credit-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": 66, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Human-Computer Interaction and Web Track" }, { "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": 67, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Human-Computer Interaction and Web Track" }, { "text": "vant for AI engineers who want their systems to be accessible and usable by non-technical audiences.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 68, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Human-Computer Interaction and Web Track" }, { "text": "Social Networks, Security Intelligence, and Advanced Specializations\nSocial 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. 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": 69, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Social Networks, Security Intelligence, and Advanced Specializations" }, { "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. 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": 70, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Social Networks, Security Intelligence, and Advanced Specializations" }, { "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. 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": 71, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Social Networks, Security Intelligence, and Advanced Specializations" }, { "text": "neural-computing interfaces and enabling direct communication between the human brain and computers.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 72, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Social Networks, Security Intelligence, and Advanced Specializations" }, { "text": "Elective Courses Light Orange Color Code\nThe 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. These courses offer flexibility within the structured curriculum and allow students to tailor their degree toward a preferred sub-field.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 73, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Elective Courses — Light Orange Color Code" }, { "text": "n the structured curriculum and allow students to tailor their degree toward a preferred sub-field.\nApplied Statistics covers advanced 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": 74, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Elective Courses — Light Orange Color Code" }, { "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": 75, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Elective Courses — Light Orange Color Code" }, { "text": "ding model bias, transparency, accountability, privacy, and responsible use of data and AI systems.\nThe 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": 76, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Elective Courses — Light Orange Color Code" }, { "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": 77, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Elective Courses — Light Orange Color Code" }, { "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": 78, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Elective Courses — Light Orange Color Code" }, { "text": "Graduation Requirements Projects and Career Preparation\nThe 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. 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": 79, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Graduation Requirements — Projects and Career Preparation" }, { "text": "transition from academic training to professional readiness in a structured and supervised manner.\nGraduation 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. 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": 80, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Graduation Requirements — Projects and Career Preparation" }, { "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": 81, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Graduation Requirements — Projects and Career Preparation" }, { "text": "roject, encompassing product development, complete implementation, testing, and full documentation.\nField 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": 82, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Graduation Requirements — Projects and Career Preparation" }, { "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. 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": 83, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Graduation Requirements — Projects and Career Preparation" }, { "text": "1931499) is an optional course with variable content covering the latest AI developments and trends.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 84, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Graduation Requirements — Projects and Career Preparation" }, { "text": "Year 1 Semester 1 (Total: 15 Credit Hours | Cumulative: 15)\nThe first 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": 85, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 1 — Semester 1 (Total: 15 Credit Hours | Cumulative: 15)" }, { "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": 86, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 1 — Semester 1 (Total: 15 Credit Hours | Cumulative: 15)" }, { "text": "ite level and build the mathematical and programming literacy required for all subsequent semesters.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 87, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 1 — Semester 1 (Total: 15 Credit Hours | Cumulative: 15)" }, { "text": "Year 1 Semester 2 (Total: 15 Credit Hours | Cumulative: 30)\nThe second semester completes the prerequisite requirements and introduces the first specialization courses. 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": 88, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 1 — Semester 2 (Total: 15 Credit Hours | Cumulative: 30)" }, { "text": "tures (3 credits), and Principles of Statistics (3 credits), all at the Year 1 specialization level.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 89, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 1 — Semester 2 (Total: 15 Credit Hours | Cumulative: 30)" }, { "text": "Year 2 Semester 1 (Total: 15 Credit Hours | Cumulative: 45 First Milestone)\nThe third 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": 90, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 2 — Semester 1 (Total: 15 Credit Hours | Cumulative: 45 — First Milestone)" }, { "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.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 91, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 2 — Semester 1 (Total: 15 Credit Hours | Cumulative: 45 — First Milestone)" }, { "text": "ster means the student has passed the minimum threshold required for the first phase of the program.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 92, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 2 — Semester 1 (Total: 15 Credit Hours | Cumulative: 45 — First Milestone)" }, { "text": "Year 2 Semester 2 (Total: 15 Credit Hours | Cumulative: 60)\nThe fourth semester 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": 93, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 2 — Semester 2 (Total: 15 Credit Hours | Cumulative: 60)" }, { "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.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 94, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 2 — Semester 2 (Total: 15 Credit Hours | Cumulative: 60)" }, { "text": "red all core technical Year 2 content and are ready to move into advanced third-year specialization.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 95, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 2 — Semester 2 (Total: 15 Credit Hours | Cumulative: 60)" }, { "text": "Year 3 Semester 1 (Total: 15 Credit Hours | Cumulative: 75)\nThe 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). 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": 96, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 3 — Semester 1 (Total: 15 Credit Hours | Cumulative: 75)" }, { "text": "e 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": 97, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 3 — Semester 1 (Total: 15 Credit Hours | Cumulative: 75)" }, { "text": "Year 3 Semester 2 (Total: 15 Credit Hours | Cumulative: 90 Second Milestone)\nThe sixth semester marks the completion of the second 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": 98, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 3 — Semester 2 (Total: 15 Credit Hours | Cumulative: 90 — Second Milestone)" }, { "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.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 99, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 3 — Semester 2 (Total: 15 Credit Hours | Cumulative: 90 — Second Milestone)" }, { "text": "semester, the student has the broad knowledge base needed for the highly specialized Year 4 courses.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 100, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 3 — Semester 2 (Total: 15 Credit Hours | Cumulative: 90 — Second Milestone)" }, { "text": "Year 4 Semester 1 (Total: 15 Credit Hours | Cumulative: 105)\nThe seventh 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": 101, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 4 — Semester 1 (Total: 15 Credit Hours | Cumulative: 105)" }, { "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.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 102, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 4 — Semester 1 (Total: 15 Credit Hours | Cumulative: 105)" }, { "text": "semester requires the strongest academic foundation as all courses are advanced fourth-year content.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 103, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 4 — Semester 1 (Total: 15 Credit Hours | Cumulative: 105)" }, { "text": "Year 4 Semester 2 (Total: 18 Credit Hours | Cumulative: 123 Program Complete)\nThe 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": 104, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 4 — Semester 2 (Total: 18 Credit Hours | Cumulative: 123 — Program Complete)" }, { "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": 105, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 4 — Semester 2 (Total: 18 Credit Hours | Cumulative: 123 — Program Complete)" }, { "text": "oss the eight semesters fulfills all graduation requirements for the Artificial Intelligence degree.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 106, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Year 4 — Semester 2 (Total: 18 Credit Hours | Cumulative: 123 — Program Complete)" }, { "text": "Course Prerequisites and Dependency Chains\nUnderstanding the sequential dependencies between courses is fundamental to planning 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": 107, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Course Prerequisites and Dependency Chains" }, { "text": "failing to observe these prerequisites can result in delays in graduation or academic difficulties.\nObject-Oriented Programming (OOP) requires Introduction to C++ as a mandatory prerequisite, because 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": 108, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Course Prerequisites and Dependency Chains" }, { "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.\nAdvanced 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": 109, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Course Prerequisites and Dependency Chains" }, { "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. 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": 110, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Course Prerequisites and Dependency Chains" }, { "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.\nData Mining is recommended after completing Database Management and Statistics. Big Data is recommended after completing Data Mining and Database Management.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 111, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Course Prerequisites and Dependency Chains" }, { "text": "gement 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. 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": 112, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Course Prerequisites and Dependency Chains" }, { "text": "es, as their level of difficulty requires a solid knowledge and skills base across multiple domains.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 113, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Course Prerequisites and Dependency Chains" }, { "text": "Specialization Tracks within the AI Program\nThe 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. 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": 114, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Specialization Tracks within the AI Program" }, { "text": "core curriculum, these tracks provide meaningful differentiation for career and research purposes.\nThe 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. The core courses for this track are Statistics, ML, Deep Learning, NLP, Advanced NLP, Arabic Language Engineering, and Software-AI.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 115, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Specialization Tracks within the AI Program" }, { "text": "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.\nThe Computer Vision and Image Processing Track focuses on image and video processing applications and enabling computers to see and interpret visual content.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 116, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Specialization Tracks within the AI Program" }, { "text": "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. This track is well suited for careers in medical imaging, surveillance, autonomous vehicles, and visual content analysis.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 117, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Specialization Tracks within the AI Program" }, { "text": "ted for careers in medical imaging, surveillance, autonomous vehicles, and visual content analysis.\nThe Big Data and Data Engineering Track focuses on building 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.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 118, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Specialization Tracks within the AI Program" }, { "text": "atabase 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.\nThe 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": 119, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Specialization Tracks within the AI Program" }, { "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": 120, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Specialization Tracks within the AI Program" }, { "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": 121, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Specialization Tracks within the AI Program" }, { "text": "I, Web Development, Virtual Reality, Brain-Computer Interaction, and Intelligent Multimedia Systems.", "source": "AI_Curriculum_UJ_RAG.docx", "chunk_id": 122, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "Specialization Tracks within the AI Program" }, { "text": "AI and Data Science Career Opportunities in Jordan\nJordan 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": 1, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "AI and Data Science Career Opportunities in Jordan" }, { "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": 2, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "AI and Data Science Career Opportunities in Jordan" }, { "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": 3, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "AI and Data Science Career Opportunities in Jordan" }, { "text": "l 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, "doc_type": "careers", "section_title": "AI and Data Science Career Opportunities in Jordan" }, { "text": "Data Scientist\nA Data Scientist is a professional who uses statistical methods, machine learning 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": 5, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Data Scientist" }, { "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": 6, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Data Scientist" }, { "text": "strategy, making it one of the most versatile and high-impact positions in the tech industry today.\nTo 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": 7, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Data Scientist" }, { "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. 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": 8, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Data Scientist" }, { "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": 9, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Data Scientist" }, { "text": "findings into actionable recommendations for non-technical stakeholders is a core part of the job.\nOn 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": 10, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Data Scientist" }, { "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. 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": 11, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Data Scientist" }, { "text": "ata Scientists in Jordan can expect to earn in the range of 800 to 1,200 Jordanian Dinars per month. 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": 12, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Data Scientist" }, { "text": "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": 13, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Data Scientist" }, { "text": "AI Engineer\nAn AI Engineer is responsible for designing, building, and deploying artificial 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": 14, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "AI Engineer" }, { "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.\nThe 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": 15, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "AI Engineer" }, { "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. 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": 16, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "AI Engineer" }, { "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.\nThe 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": 17, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "AI Engineer" }, { "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": 18, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "AI Engineer" }, { "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": 19, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "AI Engineer" }, { "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": 20, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "AI Engineer" }, { "text": "h, especially in established technology firms or companies with significant AI infrastructure needs.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 21, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "AI Engineer" }, { "text": "Machine Learning Engineer\nA 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. 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": 22, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Machine Learning Engineer" }, { "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.\nMachine 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": 23, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Machine Learning Engineer" }, { "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": 24, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Machine Learning Engineer" }, { "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": 25, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Machine Learning Engineer" }, { "text": "raining frameworks such as Apache Spark or Ray, particularly when working with very large datasets.\nThe 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": 26, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Machine Learning Engineer" }, { "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": 27, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Machine Learning Engineer" }, { "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": 28, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Machine Learning Engineer" }, { "text": "3,000 JOD per month at well-funded companies or international organizations with offices in Jordan.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 29, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Machine Learning Engineer" }, { "text": "Data Analyst\nA Data Analyst is focused on interpreting data to help organizations make better 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": 30, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Data Analyst" }, { "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.\nThe 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": 31, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Data Analyst" }, { "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. 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": 32, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Data Analyst" }, { "text": "municate findings clearly to non-technical audiences are also essential competencies for this role.\nIn 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": 33, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Data Analyst" }, { "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. Salary-wise, junior Data Analysts in Jordan typically earn between 500 and 800 JOD per month.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 34, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Data Analyst" }, { "text": "gence. 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. 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": 35, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Data Analyst" }, { "text": "th, particularly in large financial institutions or international organizations operating in Jordan.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 36, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Data Analyst" }, { "text": "AI Researcher\nAn 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": 37, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "AI Researcher" }, { "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": 38, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "AI Researcher" }, { "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.\nTo 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.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 39, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "AI Researcher" }, { "text": "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. 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": 40, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "AI Researcher" }, { "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.\nResponsibilities 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": 41, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "AI Researcher" }, { "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. 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": 42, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "AI Researcher" }, { "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. 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": 43, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "AI Researcher" }, { "text": "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": 44, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "AI Researcher" }, { "text": "Business Intelligence Analyst\nA 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. 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": 45, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Business Intelligence Analyst" }, { "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.\nThe 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": 46, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Business Intelligence Analyst" }, { "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. 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": 47, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Business Intelligence Analyst" }, { "text": "advanced level, as well as basic knowledge of DAX or MDX query languages used within BI platforms.\nOn 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": 48, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Business Intelligence Analyst" }, { "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": 49, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Business Intelligence Analyst" }, { "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": 50, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Business Intelligence Analyst" }, { "text": "agers with extensive experience in enterprise platforms typically earn 1,500 to 2,200 JOD per month.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 51, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Business Intelligence Analyst" }, { "text": "Data Engineer\nA Data Engineer is the professional responsible for designing, building, and maintaining 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": 52, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Data Engineer" }, { "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": 53, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Data Engineer" }, { "text": "cularly in sectors like banking, logistics, and e-commerce that deal with high transaction volumes.\nData 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. 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": 54, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Data Engineer" }, { "text": "zure, 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": 55, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Data Engineer" }, { "text": "such as Snowflake or BigQuery, and version control systems like Git are also expected competencies.\nThe 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": 56, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Data Engineer" }, { "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. 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.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 57, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Data Engineer" }, { "text": "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": 58, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Data Engineer" }, { "text": "e 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": 59, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Data Engineer" }, { "text": "AI Ethics Specialist\nAn 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. 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": 60, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "AI Ethics Specialist" }, { "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.\nThe 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": 61, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "AI Ethics Specialist" }, { "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": 62, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "AI Ethics Specialist" }, { "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": 63, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "AI Ethics Specialist" }, { "text": "s, and communicate risk clearly to both technical and non-technical audiences is equally essential.\nIn 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": 64, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "AI Ethics Specialist" }, { "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": 65, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "AI Ethics Specialist" }, { "text": "academic positions. Since the role is still emerging in Jordan, salary ranges are somewhat variable. 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": 66, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "AI Ethics Specialist" }, { "text": "o 2,500 JOD per month, especially in international organizations or well-funded public institutions.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 67, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "AI Ethics Specialist" }, { "text": "Natural Language Processing (NLP) Engineer\nA Natural Language Processing 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": 68, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Natural Language Processing (NLP) Engineer" }, { "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": 69, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Natural Language Processing (NLP) Engineer" }, { "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.\nNLP Engineers need a solid understanding of linguistics alongside machine learning and deep learning.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 70, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Natural Language Processing (NLP) Engineer" }, { "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": 71, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Natural Language Processing (NLP) Engineer" }, { "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": 72, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Natural Language Processing (NLP) Engineer" }, { "text": "recognition, and sequence-to-sequence modeling is also important for building robust NLP pipelines.\nTypical 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": 73, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Natural Language Processing (NLP) Engineer" }, { "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": 74, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Natural Language Processing (NLP) Engineer" }, { "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": 75, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Natural Language Processing (NLP) Engineer" }, { "text": "els 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": 76, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Natural Language Processing (NLP) Engineer" }, { "text": "Computer Vision Engineer\nA Computer Vision Engineer builds 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": 77, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Computer Vision Engineer" }, { "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": 78, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Computer Vision Engineer" }, { "text": "nologies, and healthcare institutions are beginning to explore AI-powered diagnostic imaging tools.\nThe 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": 79, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Computer Vision Engineer" }, { "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": 80, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Computer Vision Engineer" }, { "text": "tation tools and building or curating image datasets is an important practical skill in this field.\nIn 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": 81, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Computer Vision Engineer" }, { "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": 82, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Computer Vision Engineer" }, { "text": "nior engineer to senior engineer and then to roles like Computer Vision Lead or AI Product Engineer. 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": 83, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Computer Vision Engineer" }, { "text": "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": 84, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "Computer Vision Engineer" }, { "text": "MLOps Engineer and AI Infrastructure Specialist\nMLOps, 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": 85, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "MLOps Engineer and AI Infrastructure Specialist" }, { "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": 86, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "MLOps Engineer and AI Infrastructure Specialist" }, { "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": 87, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "MLOps Engineer and AI Infrastructure Specialist" }, { "text": "at have already built initial AI capabilities and are now looking to scale and operationalize them.\nCore 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": 88, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "MLOps Engineer and AI Infrastructure Specialist" }, { "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": 89, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "MLOps Engineer and AI Infrastructure Specialist" }, { "text": "software engineering and machine learning workflows is essential for being effective in this role.\nResponsibilities include setting up automated training and deployment pipelines, monitoring model performance and 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": 90, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "MLOps Engineer and AI Infrastructure Specialist" }, { "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. 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": 91, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "MLOps Engineer and AI Infrastructure Specialist" }, { "text": "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": 92, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "MLOps Engineer and AI Infrastructure Specialist" }, { "text": "The Broader Landscape: Jordan's Growing AI Ecosystem\nJordan's technology sector is supported by a growing ecosystem of accelerators, 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": 93, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "The Broader Landscape: Jordan's Growing AI Ecosystem" }, { "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. 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": 94, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "The Broader Landscape: Jordan's Growing AI Ecosystem" }, { "text": "tech corridor, have seen a notable increase in tech office spaces and startup hubs in recent years.\nIt is worth noting that salaries in Jordan'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": 95, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "The Broader Landscape: Jordan's Growing AI Ecosystem" }, { "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": 96, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "The Broader Landscape: Jordan's Growing AI Ecosystem" }, { "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": 97, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "The Broader Landscape: Jordan's Growing AI Ecosystem" }, { "text": "chnical skills with the ability to communicate and apply their knowledge in real business contexts.\nFor 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.AI, and AWS can supplement formal university education and signal practical competence to employers.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 98, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "The Broader Landscape: Jordan's Growing AI Ecosystem" }, { "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": 99, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "The Broader Landscape: Jordan's Growing AI Ecosystem" }, { "text": "ilding strong, practical skills will find themselves well-positioned to grow alongside the industry.", "source": "AI_DS_Careers_Jordan.docx", "chunk_id": 100, "language": "English", "was_translated": false, "doc_type": "careers", "section_title": "The Broader Landscape: Jordan's Growing AI Ecosystem" }, { "text": "Course Records\nCourse: Advanced Databases\nSemester: Fall 2025/2026\nGrades: D = 70\nSource: KASIT Team\nLanguage: English\nCourse: Advanced Networking\nSemester: Fall 2025/2026\nGrades: A = 92\nSource: KASIT Team\nLanguage: English\nCourse: Advanced Programming\nSemester: Fall 2025/2026\nGrades: A = 91; B+ = 81\nSource: KASIT Team\nLanguage: English\nCourse: Advanced Software\nSemester: Fall 2025/2026\nGrades: A = 80; A- = 78; B+ = 72; D = 58\nSource: KASIT Team\nLanguage: English\nCourse: AI Programming", "source": "course records.docx", "chunk_id": 1, "language": "English", "was_translated": false, "doc_type": "course_records", "section_title": "" }, { "text": "rades: A = 80; A- = 78; B+ = 72; D = 58\nSource: KASIT Team\nLanguage: English\nCourse: AI Programming\nSemester: Fall 2025/2026\nGrades: A = 89; A- = 84; B = 70; B- = 66; D = 43\nSource: KASIT Team\nLanguage: English\nCourse: Algorithms\nSemester: Fall 2025/2026\nGrades: A = 84.5; A- = 81.5; B- = 64; C- = 57; D+ = 52\nSource: KASIT Team\nLanguage: English\nCourse: Applied Statistics\nSemester: Fall 2025/2026\nGrades: A- = 91; B+ = 88; B = 75\nSource: KASIT Team\nLanguage: English", "source": "course records.docx", "chunk_id": 2, "language": "English", "was_translated": false, "doc_type": "course_records", "section_title": "" }, { "text": "tics\nSemester: Fall 2025/2026\nGrades: A- = 91; B+ = 88; B = 75\nSource: KASIT Team\nLanguage: English\nCourse: Artificial Intelligence (AI)\nSemester: Fall 2025/2026\nGrades: A = 80; A- = 71; B+ = 68; B- = 55; C = 48; D = 39.5\nSource: KASIT Team\nLanguage: English\nCourse: Assembly\nSemester: Fall 2025/2026\nGrades: C = 60\nSource: KASIT Team\nLanguage: English\nCourse: Authentication & Security Models\nSemester: Fall 2025/2026\nGrades: C+ = 72\nSource: KASIT Team\nLanguage: English", "source": "course records.docx", "chunk_id": 3, "language": "English", "was_translated": false, "doc_type": "course_records", "section_title": "" }, { "text": "ion & Security Models\nSemester: Fall 2025/2026\nGrades: C+ = 72\nSource: KASIT Team\nLanguage: English\nCourse: Business Intelligence\nSemester: Fall 2025/2026\nGrades: A- = 87\nSource: KASIT Team\nLanguage: English\nCourse: C++\nSemester: Fall 2025/2026\nGrades: 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\nSource: KASIT Team\nLanguage: English\nCourse: Data Structures\nSemester: Fall 2025/2026\nGrades: A = 91; A- = 82.67; B+ = 76.", "source": "course records.docx", "chunk_id": 4, "language": "English", "was_translated": false, "doc_type": "course_records", "section_title": "" }, { "text": "guage: English\nCourse: Data Structures\nSemester: Fall 2025/2026\nGrades: A = 91; A- = 82.67; B+ = 76.5; B = 71; B- = 63; C+ = 59; C- = 50\nSource: KASIT Team\nLanguage: English\nCourse: Data Mining\nSemester: Fall 2025/2026\nGrades: A = 78; A- = 72; B+ = 67; B = 62; B- = 56; C+ = 54; C = 48; C- = 46; D+ = 44; D = 40\nSource: KASIT Team\nLanguage: English\nCourse: Machine Learning\nSemester: Fall 2025/2026\nGrades: A- = 80; B+ = 78; B = 75\nSource: KASIT Team\nLanguage: English\nCourse: Operating Systems (OS)", "source": "course records.docx", "chunk_id": 5, "language": "English", "was_translated": false, "doc_type": "course_records", "section_title": "" }, { "text": "rades: A- = 80; B+ = 78; B = 75\nSource: KASIT Team\nLanguage: English\nCourse: Operating Systems (OS)\nSemester: Fall 2025/2026\nGrades: A = 87; A- = 82; B = 74; B- = 68; C = 58; D = 42.5\nSource: KASIT Team\nLanguage: English\nCourse: Networks\nSemester: Fall 2025/2026\nGrades: A = 90; A- = 87; B+ = 75; B- = 61; C+ = 59; C = 51; C- = 48; D = 38\nSource: KASIT Team\nLanguage: English\nCourse: Web Security\nSemester: Fall 2025/2026\nGrades: A = 82; A- = 75; B+ = 72; B = 70; B- = 64; C+ = 60; D = 47", "source": "course records.docx", "chunk_id": 6, "language": "English", "was_translated": false, "doc_type": "course_records", "section_title": "" }, { "text": "ecurity\nSemester: Fall 2025/2026\nGrades: A = 82; A- = 75; B+ = 72; B = 70; B- = 64; C+ = 60; D = 47\nSource: KASIT Team\nLanguage: English\nCourse: Web Development 1 (Web1)\nSemester: Fall 2025/2026\nGrades: A = 84; A- = 80; B = 71; B- = 61; C+ = 57; D = 45\nSource: KASIT Team\nLanguage: English\nCourse: Web Development 2 (Web2)\nSemester: Fall 2025/2026\nGrades: A = 88; B+ = 77; D = 50\nSource: KASIT Team\nLanguage: English\nCourse: Special Topics in Data Science\nSemester: Fall 2025/2026\nGrades: A = 96", "source": "course records.docx", "chunk_id": 7, "language": "English", "was_translated": false, "doc_type": "course_records", "section_title": "" }, { "text": "am\nLanguage: English\nCourse: Special Topics in Data Science\nSemester: Fall 2025/2026\nGrades: A = 96\nSource: KASIT Team\nLanguage: English\nCourse: الإعداد الوظيفي\nSemester: Fall 2025/2026\nGrades: A = 92.5\nSource: KASIT Team\nLanguage: Arabic", "source": "course records.docx", "chunk_id": 8, "language": "English", "was_translated": false, "doc_type": "course_records", "section_title": "" }, { "text": "ourse: الإعداد الوظيفي\nSemester: Fall 2025/2026\nGrades: A = 92.5\nSource: KASIT Team\nLanguage: Arabic", "source": "course records.docx", "chunk_id": 9, "language": "Mixed", "was_translated": false, "doc_type": "course_records", "section_title": "" }, { "text": "KASIT Departments and Majors\nFaculty: King Abdullah II School for Information Technology (KASIT)\nUniversity: University of Jordan\nTotal Credit Hours Required for Graduation: 132 Credit Hours\nDescription: 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.\n Department of Computer Science\nDepartment Name: Computer Science\nAbbreviation: CS\nFaculty: KASIT\nMajors Offered:", "source": "departments nad majors.docx", "chunk_id": 1, "language": "English", "was_translated": false, "doc_type": "departments", "section_title": "" }, { "text": "Computer Science\nDepartment Name: Computer Science\nAbbreviation: CS\nFaculty: KASIT\nMajors Offered:\nComputer Science (CS)\nCybersecurity (CYS)\nGraduation Requirement:\nStudents enrolled in any major under the Department of Computer Science must complete 132 credit hours to graduate.\n Department of Computer Information Systems\nDepartment Name: Computer Information Systems\nAbbreviation: CIS\nFaculty: KASIT\nMajors Offered:\nComputer Information Systems (CIS)\nBusiness Information Technology (BIT)", "source": "departments nad majors.docx", "chunk_id": 2, "language": "English", "was_translated": false, "doc_type": "departments", "section_title": "" }, { "text": "lty: KASIT\nMajors Offered:\nComputer Information Systems (CIS)\nBusiness Information Technology (BIT)\nGraduation Requirement:\nStudents enrolled in any major under the Department of Computer Information Systems must complete 132 credit hours to graduate.\n Department of Artificial Intelligence\nDepartment Name: Artificial Intelligence\nAbbreviation: AI\nFaculty: KASIT\nMajors Offered:\nArtificial Intelligence (AI)\nData Science (DS)\nGraduation Requirement:", "source": "departments nad majors.docx", "chunk_id": 3, "language": "English", "was_translated": false, "doc_type": "departments", "section_title": "" }, { "text": "culty: KASIT\nMajors Offered:\nArtificial Intelligence (AI)\nData Science (DS)\nGraduation Requirement:\nStudents enrolled in any major under the Department of Artificial Intelligence must complete 132 credit hours to graduate.\n Summary of Departments and Majors", "source": "departments nad majors.docx", "chunk_id": 4, "language": "English", "was_translated": false, "doc_type": "departments", "section_title": "" }, { "text": "ificial Intelligence must complete 132 credit hours to graduate.\n Summary of Departments and Majors", "source": "departments nad majors.docx", "chunk_id": 5, "language": "English", "was_translated": false, "doc_type": "departments", "section_title": "" }, { "text": "Department: Computer Science | Major Name: CS | Abbreviation: 132", "source": "departments nad majors.docx", "chunk_id": 6, "language": "English", "was_translated": false, "doc_type": "departments", "section_title": "" }, { "text": "Department: Computer Science | Major Name: Cybersecurity | Abbreviation: CYS | Required Credits: 132", "source": "departments nad majors.docx", "chunk_id": 7, "language": "English", "was_translated": false, "doc_type": "departments", "section_title": "" }, { "text": "Department: Computer Information Systems | Major Name: CIS | Abbreviation: 132", "source": "departments nad majors.docx", "chunk_id": 8, "language": "English", "was_translated": false, "doc_type": "departments", "section_title": "" }, { "text": "Department: Computer Information Systems | Major Name: Business Information Technology | Abbreviation: BIT | Required Credits: 132", "source": "departments nad majors.docx", "chunk_id": 9, "language": "English", "was_translated": false, "doc_type": "departments", "section_title": "" }, { "text": "Department: Artificial Intelligence | Major Name: AI | Abbreviation: 132", "source": "departments nad majors.docx", "chunk_id": 10, "language": "English", "was_translated": false, "doc_type": "departments", "section_title": "" }, { "text": "Department: Artificial Intelligence | Major Name: Data Science | Abbreviation: DS | Required Credits: 132", "source": "departments nad majors.docx", "chunk_id": 11, "language": "English", "was_translated": false, "doc_type": "departments", "section_title": "" }, { "text": "CHUNK 1: Computer Science (CS) Professors\nأ.د. عبداللطيف أبودلهوم\nEmail: a.latif@ju.edu.jo\nDepartment: Computer Science (CS)\nأ. د. أحمد الشرايعة\nEmail: sharieh@ju.edu.jo\nDepartment: Computer Science (CS)\nأ. د. عزام سليط\nEmail: azzam.sleit@ju.edu.jo\nDepartment: Computer Science (CS)\nأ. د. باسل محافظة\nEmail: b.mahafzah@ju.edu.jo\nDepartment: Computer Science (CS)\nأ.د. حازم الحياري\nEmail: hazemh@ju.edu.jo\nDepartment: Computer Science (CS)\nأ. د. عماد صلاح\nEmail: isalah@ju.edu.jo", "source": "docs_emails.docx", "chunk_id": 1, "language": "Mixed", "was_translated": false, "doc_type": "contacts", "section_title": "" }, { "text": "ي\nEmail: hazemh@ju.edu.jo\nDepartment: Computer Science (CS)\nأ. د. عماد صلاح\nEmail: isalah@ju.edu.jo\nDepartment: Computer Science (CS)\nأ. د. محمد الشريدة\nEmail: mshridah@ju.edu.jo\nDepartment: Computer Science (CS)\nأ. د. محمد القطاونة\nEmail: mohd.qat@ju.edu.jo\nDepartment: Computer Science (CS)\nأ. د. محمد عبيدات\nEmail: Obaidat@ju.edu.jo\nDepartment: Computer Science (CS)\nأ. د. صالح الشرايعة\nEmail: ssharaeh@ju.edu.jo\nDepartment: Computer Science (CS)\nأ. د. سامي السرحان\nEmail: samiserh@ju.edu.jo", "source": "docs_emails.docx", "chunk_id": 2, "language": "Mixed", "was_translated": false, "doc_type": "contacts", "section_title": "" }, { "text": ": ssharaeh@ju.edu.jo\nDepartment: Computer Science (CS)\nأ. د. سامي السرحان\nEmail: samiserh@ju.edu.jo\nDepartment: Computer Science (CS)\nأ. د. وسام المبيضين\nEmail: almobaideen@inf.ju.edu.jo\nDepartment: Computer Science (CS)\nCHUNK 2: Computer Science (CS) Faculty and Staff\nالسيدة أنصار خوري\nEmail: ansar@ju.edu.jo\nDepartment: Computer Science (CS)\nدة. باسمة أحمد الشقيرات\nEmail: b.shoqurat@ju.edu.jo\nDepartment: Computer Science (CS)\nد. بلال أبوصالح\nEmail: b.AbuSalih@ju.edu.jo", "source": "docs_emails.docx", "chunk_id": 3, "language": "Mixed", "was_translated": false, "doc_type": "contacts", "section_title": "" }, { "text": "b.shoqurat@ju.edu.jo\nDepartment: Computer Science (CS)\nد. بلال أبوصالح\nEmail: b.AbuSalih@ju.edu.jo\nDepartment: Computer Science (CS)\nدة. هبه سعاده\nEmail: heba.saadeh@ju.edu.jo\nDepartment: Computer Science (CS)\nأد. إيمان المومني\nEmail: i.momani@ju.edu.jo\nDepartment: Computer Science (CS)\nد. جمال محمد السكران\nEmail: j.alsakran@ju.edu.jo\nDepartment: Computer Science (CS)\nأ.د. خير الدين صبري\nEmail: k.sabri@ju.edu.jo\nDepartment: Computer Science (CS)\nالسيدة لبنى ناصر الدين\nEmail: lubna@ju.edu.jo", "source": "docs_emails.docx", "chunk_id": 4, "language": "Mixed", "was_translated": false, "doc_type": "contacts", "section_title": "" }, { "text": ": k.sabri@ju.edu.jo\nDepartment: Computer Science (CS)\nالسيدة لبنى ناصر الدين\nEmail: lubna@ju.edu.jo\nDepartment: Computer Science (CS)\nد. معن العساف\nEmail: m_alassaf@ju.edu.jo\nDepartment: Computer Science (CS)\nالسيد نبيل العساف\nEmail: n.alassaf@ju.edu.jo\nDepartment: Computer Science (CS)\nد. ساهر المناصير\nEmail: saher@ju.edu.jo\nDepartment: Computer Science (CS)\nدة. شريناز بدّار\nEmail: s.baddar@ju.edu.jo\nDepartment: Computer Science (CS)\nد. محمد سالم العتوم\nEmail: m.atoum@ju.edu.jo", "source": "docs_emails.docx", "chunk_id": 5, "language": "Mixed", "was_translated": false, "doc_type": "contacts", "section_title": "" }, { "text": ": s.baddar@ju.edu.jo\nDepartment: Computer Science (CS)\nد. محمد سالم العتوم\nEmail: m.atoum@ju.edu.jo\nDepartment: Computer Science (CS)\nد. عريب أبو الغنم\nEmail: O.Abualganam@ju.edu.jo\nDepartment: Computer Science (CS)\nد. أحمد الحويطات\nEmail: a.hwaitat@ju.edu.jo\nDepartment: Computer Science (CS)\nالمهندسة عروبة عبدالله عطية البقاعين\nEmail: a.bagaeen@ju.edu.jo\nDepartment: Computer Science (CS)\nد. محمد المعايعة\nEmail: m.almaiah@ju.edu.jo\nDepartment: Computer Science (CS)", "source": "docs_emails.docx", "chunk_id": 6, "language": "Mixed", "was_translated": false, "doc_type": "contacts", "section_title": "" }, { "text": "Computer Science (CS)\nد. محمد المعايعة\nEmail: m.almaiah@ju.edu.jo\nDepartment: Computer Science (CS)\nCHUNK 3: Computer Information Systems (CIS)\nأ. د. محمد بلال الزعبي\nEmail: mba@ju.edu.jo\nDepartment: Computer Information Systems (CIS)\nأ.د. عمار الحنيطي\nEmail: a.huneiti@ju.edu.jo\nDepartment: Computer Information Systems (CIS)\nأ. د. بسام حمو\nEmail: b.hammo@ju.edu.jo\nDepartment: Computer Information Systems (CIS)\nد. لؤي النمر\nEmail: l.nemer@ju.edu.jo\nDepartment: Computer Information Systems (CIS)", "source": "docs_emails.docx", "chunk_id": 7, "language": "Mixed", "was_translated": false, "doc_type": "contacts", "section_title": "" }, { "text": "Systems (CIS)\nد. لؤي النمر\nEmail: l.nemer@ju.edu.jo\nDepartment: Computer Information Systems (CIS)\nد. محمد عبد الرحمن أبو شريعة\nEmail: m.abushariah@ju.edu.jo\nDepartment: Computer Information Systems (CIS)\nد. موسى الأخرس\nEmail: mousa.akhras@ju.edu.jo\nDepartment: Computer Information Systems (CIS)\nأ.د. عمر العدوان\nEmail: adwanoy@ju.edu.jo\nDepartment: Computer Information Systems (CIS)\nدة. رنا يوسف\nEmail: rana.yousef@ju.edu.jo\nDepartment: Computer Information Systems (CIS)\nأ. د. أمجد هديب", "source": "docs_emails.docx", "chunk_id": 8, "language": "Mixed", "was_translated": false, "doc_type": "contacts", "section_title": "" }, { "text": "نا يوسف\nEmail: rana.yousef@ju.edu.jo\nDepartment: Computer Information Systems (CIS)\nأ. د. أمجد هديب\nEmail: ahudaib@ju.edu.jo\nDepartment: Computer Information Systems (CIS)\nأ. د. فواز الزغول\nEmail: fawaz@ju.edu.jo\nDepartment: Computer Information Systems (CIS)\nالسيدة أصيل العناني\nEmail: a.anani@ju.edu.jo\nDepartment: Computer Information Systems (CIS)\nدة. إسراء الزغول\nEmail: e.zaghoul@ju.edu.jo\nDepartment: Computer Information Systems (CIS)\nد. حمد عقاب السوالقة\nEmail: h.sawalqah@ju.edu.jo", "source": "docs_emails.docx", "chunk_id": 9, "language": "Mixed", "was_translated": false, "doc_type": "contacts", "section_title": "" }, { "text": ".jo\nDepartment: Computer Information Systems (CIS)\nد. حمد عقاب السوالقة\nEmail: h.sawalqah@ju.edu.jo\nDepartment: Computer Information Systems (CIS)\nالسيدة هبة خضراوي\nEmail: h.Khadrawi@ju.edu.jo\nDepartment: Computer Information Systems (CIS)\nدة. هدى كراجه\nEmail: h.karajeh@ju.edu.jo\nDepartment: Computer Information Systems (CIS)\nالسيدة لما رجب\nEmail: lama.rajab@ju.edu.jo\nDepartment: Computer Information Systems (CIS)\nد. مروان الطويل\nEmail: m.alTawil@ju.edu.jo", "source": "docs_emails.docx", "chunk_id": 10, "language": "Mixed", "was_translated": false, "doc_type": "contacts", "section_title": "" }, { "text": "ju.edu.jo\nDepartment: Computer Information Systems (CIS)\nد. مروان الطويل\nEmail: m.alTawil@ju.edu.jo\nDepartment: Computer Information Systems (CIS)\nدة. ريم علي الفايز\nEmail: r.alfayez@ju.edu.jo\nDepartment: Computer Information Systems (CIS)\nالآنسة رولا الخالد\nEmail: r.khalid@ju.edu.jo\nDepartment: Computer Information Systems (CIS)\nدة. سلسبيل فايز الفلاح\nEmail: s.alfalah@ju.edu.jo\nDepartment: Computer Information Systems (CIS)\nالسيدة تهاني الخطيب\nEmail: tahani.khatib@ju.edu.jo", "source": "docs_emails.docx", "chunk_id": 11, "language": "Mixed", "was_translated": false, "doc_type": "contacts", "section_title": "" }, { "text": "o\nDepartment: Computer Information Systems (CIS)\nالسيدة تهاني الخطيب\nEmail: tahani.khatib@ju.edu.jo\nDepartment: Computer Information Systems (CIS)\nالسيدة تمارا المراعبة\nEmail: t.almaraabeh@ju.edu.jo\nDepartment: Computer Information Systems (CIS)\nالسيدة ولاء قطيشات\nEmail: walaa_qutechate@yahoo.com\nDepartment: Computer Information Systems (CIS)\nالسيد يوسف مجدلاوي\nEmail: ymajdal@ju.edu.jo\nDepartment: Computer Information Systems (CIS)\nCHUNK 4: Business Information Technology (BIT)\nد.", "source": "docs_emails.docx", "chunk_id": 12, "language": "Mixed", "was_translated": false, "doc_type": "contacts", "section_title": "" }, { "text": ".jo\nDepartment: Computer Information Systems (CIS)\nCHUNK 4: Business Information Technology (BIT)\nد. علي عبدالله الروضان\nEmail: a.rodan@ju.edu.jo\nDepartment: Business Information Technology (BIT)\nد. بشار عوض الشبول\nEmail: b.shboul@ju.edu.jo\nDepartment: Business Information Technology (BIT)\nدة. دانه القضاة\nEmail: d.qudah@ju.edu.jo\nDepartment: Business Information Technology (BIT)\nأ. د. حامد صقر البدور\nEmail: h.bdour@ju.edu.jo\nDepartment: Business Information Technology (BIT)\nأ.د. حسام فارس", "source": "docs_emails.docx", "chunk_id": 13, "language": "Mixed", "was_translated": false, "doc_type": "contacts", "section_title": "" }, { "text": "قر البدور\nEmail: h.bdour@ju.edu.jo\nDepartment: Business Information Technology (BIT)\nأ.د. حسام فارس\nEmail: Hossam.faris@ju.edu.jo\nDepartment: Business Information Technology (BIT)\nدة. ملاك ونس الحسن\nEmail: M_Alhassan@ju.edu.jo\nDepartment: Business Information Technology (BIT)\nأ.د. أسامة حرفوشي\nEmail: o.harfoushi@ju.edu.jo\nDepartment: Business Information Technology (BIT)\nأ.د. رزق السيد\nEmail: r.alsayyed@ju.edu.jo\nDepartment: Business Information Technology (BIT)\nدة. ربى عبيدات\nEmail: r.", "source": "docs_emails.docx", "chunk_id": 14, "language": "Mixed", "was_translated": false, "doc_type": "contacts", "section_title": "" }, { "text": "ail: r.alsayyed@ju.edu.jo\nDepartment: Business Information Technology (BIT)\nدة. ربى عبيدات\nEmail: r.obiedat@ju.edu.jo\nDepartment: Business Information Technology (BIT)\nد. يزن ياسين الشمايلة\nEmail: y.shamaileh@ju.edu.jo\nDepartment: Business Information Technology (BIT)\nد. ديمة سليمان\nEmail: dima.suleiman@ju.edu.jo\nDepartment: Business Information Technology (BIT)\nد. جعفر قطاونة\nEmail: j.alqatawna@ju.edu.jo\nDepartment: Business Information Technology (BIT)\nالآنسة مريم اطريق\nEmail: m.itriq@ju.edu.", "source": "docs_emails.docx", "chunk_id": 15, "language": "Mixed", "was_translated": false, "doc_type": "contacts", "section_title": "" }, { "text": "ju.edu.jo\nDepartment: Business Information Technology (BIT)\nالآنسة مريم اطريق\nEmail: m.itriq@ju.edu.jo\nDepartment: Business Information Technology (BIT)\nالسيدة سمر السقا\nEmail: s.alsaqqa@ju.edu.jo\nDepartment: Business Information Technology (BIT)\nد. محمد الشرايعة\nEmail: m.alsharaiah@ju.edu.jo\nDepartment: Business Information Technology (BIT)\nد. شريف نصر مخادمة\nEmail: s_makhadmeh@ju.edu.jo\nDepartment: Business Information Technology (BIT)\nد. يوسف سنجلاوي\nEmail: y.sanjalawe@ju.edu.jo", "source": "docs_emails.docx", "chunk_id": 16, "language": "Mixed", "was_translated": false, "doc_type": "contacts", "section_title": "" }, { "text": "u.jo\nDepartment: Business Information Technology (BIT)\nد. يوسف سنجلاوي\nEmail: y.sanjalawe@ju.edu.jo\nDepartment: Business Information Technology (BIT)\nCHUNK 5: Artificial Intelligence (AI)\nد. ابراهيم الجراح\nEmail: i.aljarah@ju.edu.jo\nDepartment: Artificial Intelligence (AI)\nد. مجدي صوالحة\nEmail: sawalha.majdi@ju.edu.jo\nDepartment: Artificial Intelligence (AI)\nأ. د. نديم عبيد\nEmail: obein@ju.edu.jo\nDepartment: Artificial Intelligence (AI)\nأ. د. عمر القاضي\nEmail: o.alkadi@ju.edu.jo", "source": "docs_emails.docx", "chunk_id": 17, "language": "Mixed", "was_translated": false, "doc_type": "contacts", "section_title": "" }, { "text": "obein@ju.edu.jo\nDepartment: Artificial Intelligence (AI)\nأ. د. عمر القاضي\nEmail: o.alkadi@ju.edu.jo\nDepartment: Artificial Intelligence (AI)\nد. تمام السرحان\nEmail: t_alsarhan@ju.edu.jo\nDepartment: Artificial Intelligence (AI)\nCHUNK 6: Additional CIS Faculty\nد. عبد الباسط عساف\nEmail: ab.assaf@ju.edu.jo\nDepartment: Computer Information Systems (CIS)\nالسيدة فاطمة زهدي أحمد بدوان\nEmail: fbadwan@ju.edu.jo\nDepartment: Computer Information Systems (CIS)\nالسيدة ألى عزام محمد شلبك\nEmail: o.shalbak@ju.", "source": "docs_emails.docx", "chunk_id": 18, "language": "Mixed", "was_translated": false, "doc_type": "contacts", "section_title": "" }, { "text": "edu.jo\nDepartment: Computer Information Systems (CIS)\nالسيدة ألى عزام محمد شلبك\nEmail: o.shalbak@ju.edu.jo\nDepartment: Computer Information Systems (CIS)\nالسيدة تمارا زياد جاد الله حموري\nEmail: tamara@ju.edu.jo\nDepartment: Computer Information Systems (CIS)\nأ.د. ثائر حمتيني\nEmail: thamtini@ju.edu.jo\nDepartment: Computer Information Systems (CIS)\nالمهندس فارس الصمادي\nEmail: f.smadi@ju.edu.jo\nDepartment: Computer Information Systems (CIS)", "source": "docs_emails.docx", "chunk_id": 19, "language": "Mixed", "was_translated": false, "doc_type": "contacts", "section_title": "" }, { "text": "s (CIS)\nالمهندس فارس الصمادي\nEmail: f.smadi@ju.edu.jo\nDepartment: Computer Information Systems (CIS)", "source": "docs_emails.docx", "chunk_id": 20, "language": "Mixed", "was_translated": false, "doc_type": "contacts", "section_title": "" }, { "text": "Bachelor s Degree Study Plan \n\n1. \nSchool \nKing Abdullah II School for Information Technology \n\n2. \nDepartment \nArtificial Intelligence Department \n\n3. \nProgram title (Arabic) علم البيانات \n\n4. \nProgram title (English) \nData Science \n\n \n5. Components of Curriculum: \nThe curriculum for the bachelor s degree in Data Science Program consists of (132) credit hours \ndistributed as follows: \n\nNumber \nType of Requirements \nCredit \nHours \nFirst \nUniversity Requirements \n27 \nSecond \nSchool Courses", "source": "DS-English (2022).pdf", "chunk_id": 1, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "r \nType of Requirements \nCredit \nHours \nFirst \nUniversity Requirements \n27 \nSecond \nSchool Courses \n24 \nThird \nSpecialization Requirements (81 Credit Hours) \n \n \n (Obligatory Courses) \n69 \n (Elective Courses) \n12 \nTotal \n132 \n \n6. Numbering System: \n\nA- Department Numbers \n\nDepartment No. \nDepartment Name \nProgram No. \nProgram Name \n\n1 \nComputer \nScience (CS) \n01 \nComputer Science (CS) \n\nComputer \nInformation \nSystems (CIS) \n\n02 \nComputer Information \nSystems (CIS) \n\n2 \n\nBusiness", "source": "DS-English (2022).pdf", "chunk_id": 2, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": ") \n\nComputer \nInformation \nSystems (CIS) \n\n02 \nComputer Information \nSystems (CIS) \n\n2 \n\nBusiness \nInformation \nSystems (BIS) \n\n03 \nBusiness Information \nSystems (BIS) \n\n3 \n\n4 \nInformation \nTechnology (IT) \n04 \nInformation Technology (IT) \n\n05 \nArtificial Intelligence (AI) \n15 \nData Science (DS) \n\n5 \nArtificial \nIntelligence (AI) \n\nB- Course number \n\nDomain \nNumber \n\nDomain \nTitle \n\nDomain \nNumber \nDomain title \n\n0 \nGeneral \n5 \nApplications \n1 \nProgramming Languages \n6", "source": "DS-English (2022).pdf", "chunk_id": 3, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "n \nTitle \n\nDomain \nNumber \nDomain title \n\n0 \nGeneral \n5 \nApplications \n1 \nProgramming Languages \n6 \nDistributed Computing \n\n2 \nFundamentals of AI and Data \nScience \n7 \nMachine Learning \n\n3 \nDatabases and Data Engineering \n8 \nFrameworks and Tools \n\nComputational Sciences and \nAlgorithms \n \n\n4 \n\n9 \nSpecial Topics and Project \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n1 \n \n\nC- Course number consists of 7 digits: \n\nSerial number \nArea \nLevel \nDepartment/Program \nSchool \n\nX \nX \n1 \n5 \n1 \n9", "source": "DS-English (2022).pdf", "chunk_id": 4, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "consists of 7 digits: \n\nSerial number \nArea \nLevel \nDepartment/Program \nSchool \n\nX \nX \n1 \n5 \n1 \n9 \n1 \n \nFirst: University Requirements (27) credit hours distributed as follows: \n\nPreparation Program Requirements \nAll students admitted to the university must apply for a degree examination in Arabic and English and the \ncomputer is prepared or approved by the university to determine their level. Based on the results of the", "source": "DS-English (2022).pdf", "chunk_id": 5, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "er is prepared or approved by the university to determine their level. Based on the results of the \nexaminations, either the student will study one or more of the requirements of the preparatory program. \n\n(0 - 15 Credit Hours) \n\nHours \nCourse \n\nNotes \nPrerequisites \nCredit \n\nNo. \nCourse Title \nNo. \n\n- \n- \n0 \n0300150 \nCommunity Service \n1 \n\n- \n- \n0 \n1902098 \nComputer Skills Placement Test \n2 \n\nPass/Fail \n1902098\n \n \n3 \n1932099 \nBasics of Computing \n3 \n\n- \n- \n0 \n3201098", "source": "DS-English (2022).pdf", "chunk_id": 6, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Placement Test \n2 \n\nPass/Fail \n1902098\n \n \n3 \n1932099 \nBasics of Computing \n3 \n\n- \n- \n0 \n3201098 \n Arabic Placement Test \n4 \n\nPass/Fail \n3201098 \n3 \n3201099 \nBasics of Arabic \n5 \n\nPass/Fail \n3201099 \n3 \n3201100 \nArabic Languages Skills \n6 \n\n- \n- \n0 \n3202098 \nEnglish Placement Test \n7 \n\nPass/Fail \n 3202098 \n3 \n3202099 \nBasics of English \n8 \n\nPass/Fail \n3202099 \n3 \n3202100 \nEnglish Language Skills \n9 \n\nCompulsory Requirements \n\n(18 Credit Hours) \n\nHours \nCourse \n\nNotes \nPrerequisites \nCredit", "source": "DS-English (2022).pdf", "chunk_id": 7, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "s \n9 \n\nCompulsory Requirements \n\n(18 Credit Hours) \n\nHours \nCourse \n\nNotes \nPrerequisites \nCredit \n\nNo. \nCourse Title \nNo. \n\n \n \n3 \n0100\n2\n22\n \nMilitary Sciences \n1 \n\n \n \n3 \n3400100 \nNational Culture \n2 \n\n \n \n \n3 \n3410100 \n \nEthics and Humans Values \n3 \n\n \n1932099\n/\n3410100\n \n3 \n3410101 \nEntrepreneurship Innovation and \nScientific Research \n4 \n\n \n \n1932099\n/\n3410100\n \n3 \n3410102 \nLife And Practical Skills \n5 \n\n \n1932099\n/\n3410100\n \n3 \n3400103 \nIntroduction to Philosophy and Critical", "source": "DS-English (2022).pdf", "chunk_id": 8, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "nd Practical Skills \n5 \n\n \n1932099\n/\n3410100\n \n3 \n3400103 \nIntroduction to Philosophy and Critical \nThinking \n6 \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n2 \n\n \nC. Electives University Requirements (9 Credit Hours): Elective courses are to be chosen from the \nfirst, second and third groups mentioned below. The student has to choose one course from each of the \ngroups. \n \n\nC- Electives \n(9 Credit Hours)", "source": "DS-English (2022).pdf", "chunk_id": 9, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "he student has to choose one course from each of the \ngroups. \n \n\nC- Electives \n(9 Credit Hours) \nElective courses: (9) credit hours to be chosen from the first, second and third groups mentioned below. The \nstudent has to choose one course from each of the groups. \n\n(First Group) \n\nNotes \nPrerequisites \nCredit Hours \nCourse \n\nNo. \nCourse Title \nNo. \n\n- \n- \n3 \n0400101 \nIslam and Contemporary Issues \n1 \n\n- \n- \n3 \n2300101 \nArab-Islamic Civilization \n2 \n\n- \n- \n3 \n2300102", "source": "DS-English (2022).pdf", "chunk_id": 10, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "and Contemporary Issues \n1 \n\n- \n- \n3 \n2300101 \nArab-Islamic Civilization \n2 \n\n- \n- \n3 \n2300102 \n Jordan: History and Civilization \n3 \n\n- \n- \n3 \n3400107 \nGreat Books \n4 \n\n- \n- \n3 \n3400108 \nJerusalem \n5 \n\n \nElectives \n(Second Group) \n\nNotes \nPrerequisites \nCredit Hours \nCourse \n\nNo. \nCourse Title \nNo. \n\n- \n- \n3 \n0102\n1\n03\n \nEnvironmental Culture and \nDevelopment \n1 \n\n- \n- \n3 \n0400102 \nIslamic Culture \n2 \n\n- \n- \n3 \n0720100 \nHealth Culture \n3 \n\n- \n- \n3 \n1000102 \nLegal Culture \n4 \n\n- \n-", "source": "DS-English (2022).pdf", "chunk_id": 11, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "mic Culture \n2 \n\n- \n- \n3 \n0720100 \nHealth Culture \n3 \n\n- \n- \n3 \n1000102 \nLegal Culture \n4 \n\n- \n- \n3 \n1100100 \nPhysical Fitness Culture \n5 \n\n \nElectives \n(Third Group) \n\nNotes \nPrerequisites \nCredit Hours \nCourse \n\nNo. \nCourse Title \nNo. \n\n \n \n3 \n1600100 \nElectronic Commerce \n1 \n\n \n \n3 \n1900101 \nSocial Media \n2 \n\n \n \n3 \n2000100 \nAppreciation of Arts \n3 \n\n \n \n3 \n2200103 \nForeign Language \n4 \n\n \n \n3 \n3400106 \nSpecial Subject \n5 \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n3", "source": "DS-English (2022).pdf", "chunk_id": 12, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "4 \n\n \n \n3 \n3400106 \nSpecial Subject \n5 \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n3 \n\n \n \nSecond: School courses: distributed as follows: \n\n \nA. Obligatory school courses: ( 24 ) credit hours \n\nContact Hours \n\nCourse \nNumber \nCourse Title \n\nCredit \nHours \nPre-requisite \nTheoret\nical \n \n\nPractical \n \n\n1901101 \nDiscrete Mathematics \n3 \n- \n3 \n- \n\nPass \nQualifications \nExam or \n1932099 \n\n1931102 \nComputer Skills for \nScientific Faculties \n3 \n- \n3 \n\n1904101 \nFundamentals of Information", "source": "DS-English (2022).pdf", "chunk_id": 13, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "1931102 \nComputer Skills for \nScientific Faculties \n3 \n- \n3 \n\n1904101 \nFundamentals of Information \nTechnology \n3 \n- \n3 \n- \n\n1904120 \nWeb Applications \nDevelopment \n3 \n \n3 \n1931102 \n\n1902110 \nObject-Oriented \nProgramming \n3 \n \n3 \n1931102 \n\n1901242 \nData Structures \n3 \n- \n3 \n1902110 \n\n1902224 \nDatabase Management \nSystems \n3 \n- \n3 \n1902110 \n\n1915101 \nLinear Algebra for \nComputational Sciences \n3 \n- \n3 \n0301101 \n\n1902390 \nSeminar-Road to Software \nIndustry \n2 \n- \n0 \nPassing 45 hours \n\nB.", "source": "DS-English (2022).pdf", "chunk_id": 14, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "nces \n3 \n- \n3 \n0301101 \n\n1902390 \nSeminar-Road to Software \nIndustry \n2 \n- \n0 \nPassing 45 hours \n\nB. Elective school courses: (0) credit hours: \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n4 \n\nThird: Specialty courses: (81) credit hours distributed as follows: \n\nA. Obligatory specialty courses: ( 69 ) credit hours: \n\nContact Hours \nCredit \n\nCourse \nNumber \nCourse Title \n\nHours Pre-requisite \nTheoretical Practical \n\n0301131 \nPrinciples of Statistics \n3 \n- \n3 \n- \n\n0301101 \nCalculus 1 \n3", "source": "DS-English (2022).pdf", "chunk_id": 15, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "te \nTheoretical Practical \n\n0301131 \nPrinciples of Statistics \n3 \n- \n3 \n- \n\n0301101 \nCalculus 1 \n3 \n- \n3 \n- \n\n1915111 \nAI Programming \n3 \n- \n3 \n1931102 \n\n1915121 \nPrinciples of Data Science \n3 \n- \n3 \n- \n\n1905222 \nData Mining \n3 \n- \n3 \n1902224 \n\nData Engineering and \nAnalytics \n3 \n- \n3 \n1915121 + 1915111 \n\n1915231 \n\n1915251 \nApplied Statistics \n3 \n- \n3 \n0301131 \n\nEthics of AI and Data \nScience \n3 \n- \n3 \n1915121 \n\n1905220 \n\nInformation Security and \nPrivacy \n3 \n- \n3 \n1901363 + 1902224 \n\n1911322", "source": "DS-English (2022).pdf", "chunk_id": 16, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "- \n3 \n1915121 \n\n1905220 \n\nInformation Security and \nPrivacy \n3 \n- \n3 \n1901363 + 1902224 \n\n1911322 \n\n1905320 \nArtificial Intelligence \n3 \n- \n3 \n1901242 \n\n1915331 \nNoSQL Databases \n3 \n- \n3 \n1902224 \n\n1901341 \nTheory of Algorithms \n3 \n- \n3 \n1901242 \n\nMachine Learning and \nNeural networks \n3 \n- \n3 \n1905222 \n\n1915370 \n\nPattern Recognition and \nInformation Analysis \n3 \n- \n3 \n1905222 \n\n1915371 \n\n1901363 \nComputer Networks \n3 \n- \n3 \n1901242 \n\n1902372 \nSoftware Engineering \n3 \n- \n3 \n1902224 \n\n1905380", "source": "DS-English (2022).pdf", "chunk_id": 17, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "3 \nComputer Networks \n3 \n- \n3 \n1901242 \n\n1902372 \nSoftware Engineering \n3 \n- \n3 \n1902224 \n\n1905380 \nNatural Language Processing \n3 \n- \n3 \n1905320 \n\n1915441 \nData Visualization \n3 \n- \n3 \n1915370 \n\n1915461 \nCloud Computing \n3 \n- \n3 \n1905222 + 1901363 \n\n1915431 \nBig Data \n3 \n \n3 \n1915461 \n\n1915471 \nDeep Learning \n3 \n- \n3 \n1915370 \n\nModel Deployment \nFrameworks \n3 \n- \n3 \n1915370 \n\n1915481 \n\n1915490 \nTraining \n6 Weeks \n0 \nSuccess 90 hours \n\n1915491 \nProject -1 \n- \n- \n0 \nSuccess 90 hours \n\n1915492", "source": "DS-English (2022).pdf", "chunk_id": 18, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Training \n6 Weeks \n0 \nSuccess 90 hours \n\n1915491 \nProject -1 \n- \n- \n0 \nSuccess 90 hours \n\n1915492 \nProject -2 \n- \n- \n3 \n1915491 \n \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n5 \n\n \n \nB. Elective specialty courses: (12) credit hours: \n\nContact Hours \nCredit \n\nCourse \nNumber \nCourse Title \n\nHours Pre-requisite \nTheoretical Practical \n\n1915\n2\n4\n3\n \nBioinformatics \n3 \n- \n3 \n1905222 \n\nFinancial and Business Data \nAnalytics \n3 \n- \n3 \n1905222 \n\n1915252 \n\n1915232", "source": "DS-English (2022).pdf", "chunk_id": 19, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "s \n3 \n- \n3 \n1905222 \n\nFinancial and Business Data \nAnalytics \n3 \n- \n3 \n1905222 \n\n1915252 \n\n1915232 \nData Management and Governance \n3 \n- \n3 \n1905222 \n\n1905310 \nAdvance AI programming \n3 \n- \n3 \n1905111 \n\n1915341 \nSocial Network Analysis \n3 \n- \n3 \n1915222 + 1901341 \n\nHealthcare and Medical Data \nAnalytics \n3 \n- \n3 \n1905222 \n\n1915352 \n\n19153 3\n5 \nMining Software Repositories \n3 \n- \n3 \n1902372 + 1905222 \n\nInformation Technology \nEntrepreneurship and Innovation \n3 \n- \n3 \n1902224 \n\n1902383", "source": "DS-English (2022).pdf", "chunk_id": 20, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "+ 1905222 \n\nInformation Technology \nEntrepreneurship and Innovation \n3 \n- \n3 \n1902224 \n\n1902383 \n\n1915442 \nTime Series Analysis \n3 \n- \n3 \n1915370 \n\n 1904472 \nIT Project Management \n3 \n- \n3 \n1902372 \n\n1905322 \nComputer Vison \n3 \n- \n3 \n1915370 \n\n1905382 \nDigital Speech Processing \n3 \n- \n3 \n1905320 \n\n1905480 \nArabic Language Engineering \n3 \n- \n3 \n1905380 \n\nComputational Problems and \nTechniques \n3 \n- \n3 \n1901341 \n\n1901444 \n\n1904253 \nWeb Server Programming \n3 \n- \n3 \n1904120 \n\n1905330", "source": "DS-English (2022).pdf", "chunk_id": 21, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "chniques \n3 \n- \n3 \n1901341 \n\n1901444 \n\n1904253 \nWeb Server Programming \n3 \n- \n3 \n1904120 \n\n1905330 \nEmbedded Systems \n3 \n- \n3 \n1905320 + 1901242 \n\n1905431 \nIntelligent Robotics \n3 \n- \n3 \n1905320 \n\n1905453 \nVirtual Reality \n3 \n- \n3 \n1915441 \n\n1915494 \nSpecial Topics in Data Science \n3 \n- \n3 \n1915370 \n \n \n \n \n \n \n \n \n \n \n \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n6 \n\nFourth: Courses offered by other faculties and departments \n\nCourse \nNumber \nCourse Title \nContact Hours \nCredit \n\nPre-", "source": "DS-English (2022).pdf", "chunk_id": 22, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "red by other faculties and departments \n\nCourse \nNumber \nCourse Title \nContact Hours \nCredit \n\nPre-\nrequisite \nTheoretical \nPractical \n0301131 \nPrinciples of Statistics \n3 \n- \n3 \n- \n0301101 \nCalculus 1 \n3 \n- \n3 \n- \n\nHours \n\n1901363 \n+ \n1902224 \n1902372 \nSoftware Engineering \n3 \n- \n3 \n1902224 \n1901341 \nTheory of Algorithms \n3 \n- \n3 \n1901242 \n1901363 \nComputer Networks \n3 \n- \n3 \n1901242 \n1904472 \nIT Project Management \n3 \n- \n3 \n1902372 \n1901444 \nComputational Problems \nand Techniques", "source": "DS-English (2022).pdf", "chunk_id": 23, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "1904472 \nIT Project Management \n3 \n- \n3 \n1902372 \n1901444 \nComputational Problems \nand Techniques \n\nInformation Security and \nPrivacy \n3 \n- \n3 \n\n1911322 \n\n3 \n- \n3 \n1901341 \n\n1904253 \nWeb Server Programming \n3 \n- \n3 \n1904120 \n\n1902390 \nSeminar-Road to Software \nIndustry \n2 \n- \n0 \nPassing \n45 hours \n \n \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n7 \n\nFifth: Advisory Study Plan \n\n \nFirst Year \n\nSecond Semester \nFirst Semester \n\nCredit \nHours \nCourse Name \nCourse \nNo. \nCredit \nHours", "source": "DS-English (2022).pdf", "chunk_id": 24, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "st Year \n\nSecond Semester \nFirst Semester \n\nCredit \nHours \nCourse Name \nCourse \nNo. \nCredit \nHours \nCourse Name \nCourse \nNo. \n\n3 \nObject-Oriented Programming \n1902110 \n3 \nCalculus 1 \n0301101 \n\n3 \nPrinciples of Statistics \n0301131 \n3 \nFundamentals of \nInformation Technology \n1904101 \n\n3 \nWeb Application Development \n1904120 \n3 \nDiscrete Mathematics \n1901101 \n\n3 \nPrinciples of Data Science \n1915121 \n3 \nComputer Skills for \nScientific Faculties \n1931102 \n\n3 \nData Structures \n1901242 \n3", "source": "DS-English (2022).pdf", "chunk_id": 25, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "e \n1915121 \n3 \nComputer Skills for \nScientific Faculties \n1931102 \n\n3 \nData Structures \n1901242 \n3 \nUniversity Requirement \n- \n\n15 \n \n15 \n \n\n \n*** All Students need to take the Ethics and skills of university life (1900010) course during the \nfirst year. \n \nSecond Year \n\nSecond Semester \nFirst Semester \n\nCredit Hours \nCourse Name \nCourse \nNo. \nCredit \nHours \nCourse Name \nCourse No. \n\n3 \nTheory of Algorithms \n1901341 \n3 \nAI Programming \n1915111 \n\n3 \nData Mining \n1905222 \n3 \nDatabase Management", "source": "DS-English (2022).pdf", "chunk_id": 26, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Algorithms \n1901341 \n3 \nAI Programming \n1915111 \n\n3 \nData Mining \n1905222 \n3 \nDatabase Management \nSystems \n \n1902224 \n\n3 \nData Engineering and \nAnalytics \n1915231 \n3 \nLinear Algebra for \nComputing Sciences \n1915101 \n\n3 \nApplied Statistics \n1915251 \n3 \nUniversity Requirement \n- \n\n3 \nUniversity Requirement \n- \n3 \nUniversity Requirement \n- \n\n3 \nUniversity Requirement \n- \n3 \nMajor elective \nrequirement \n- \n\n18 \n \n18 \n \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n8 \n\nThird Year", "source": "DS-English (2022).pdf", "chunk_id": 27, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "e \nrequirement \n- \n\n18 \n \n18 \n \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n8 \n\nThird Year \n\nSecond Semester \nFirst Semester \n\nCredit \nHours \nCourse Name \nCourse No. \nCredit \nHours \nCourse Name \nCourse \nNo. \n\n3 \nComputer Networks \n1901363 \n3 \nSoftware Engineering \n1902372 \n\n3 \nPattern Recognition and \nInformation Analysis \n1915371 \n3 \nInformation Security and \nPrivacy \n1911322 \n\n3 \nNoSQL Databases \n1915331 \n3 \nMachine Learning and \nNeural networks \n1915370 \n\n3", "source": "DS-English (2022).pdf", "chunk_id": 28, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "vacy \n1911322 \n\n3 \nNoSQL Databases \n1915331 \n3 \nMachine Learning and \nNeural networks \n1915370 \n\n3 \nEthics of Artificial Intelligence \nand Data Science \n1905220 \n3 \nArtificial Intelligence \n1905320 \n\n0 \nSeminar-Road to Software \nIndustry \n1902399 \n3 \nMajor elective \nrequirement \n- \n\n3 \nMajor elective requirement \n- \n3 \nUniversity Requirement \n- \n\n3 \nUniversity Requirement \n- \n \n\n18 \n \n18 \n \n\n \nFourth Year \n\nSecond Semester \nFirst Semester \n\nCredit \nHours \nCourse Name \nCourse \nNo. \nCredit", "source": "DS-English (2022).pdf", "chunk_id": 29, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Fourth Year \n\nSecond Semester \nFirst Semester \n\nCredit \nHours \nCourse Name \nCourse \nNo. \nCredit \nHours \nCourse Name \nCourse \nNo. \n\n3 \nData Visualization \n1915441 \n3 \nNatural Language \nProcessing \n1905380\n \n \n\n3 \nDeep Learning \n1915471 \n3 \nCloud Computing \n1915461 \n\n3 \nBig Data \n1915431 \n3 \nModel Deployment \nFrameworks \n1915481\n \n \n\n3 \nProject 2 \n1915492 \n0 \nProject 1 \n1915491 \n\n3 \nMajor elective requirement \n- \n3 \nUniversity Requirement \n- \n\n0 \nTraining \n1915490 \n3 \nUniversity Requirements", "source": "DS-English (2022).pdf", "chunk_id": 30, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ve requirement \n- \n3 \nUniversity Requirement \n- \n\n0 \nTraining \n1915490 \n3 \nUniversity Requirements \n- \n\n15 \n \n15 \n \n\n \n*** Student can take training (1915490 with 0 credit hours) after completing 90 credit hours. \n \n \n \n \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n9 \n\nA. Obligatory School Courses Description \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nDiscrete Mathematics \n\n1901101 \n\n3 \n\nPrerequisite: (None) \n \n \n\nCourse Description", "source": "DS-English (2022).pdf", "chunk_id": 31, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Course Title \nDiscrete Mathematics \n\n1901101 \n\n3 \n\nPrerequisite: (None) \n \n \n\nCourse Description \n \nThis course studies the mathematical elements of computer science and their applications. Topics \ninclude propositional logic; predicate logic; mathematical reasoning; techniques of proof; \nmathematical induction; set theory; number theory; matrices; sequences and summations; functions, \nrelations and their properties, elementary graph theory, and tree (graph theory). In each subject, its", "source": "DS-English (2022).pdf", "chunk_id": 32, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "tions and their properties, elementary graph theory, and tree (graph theory). In each subject, its \ncharacteristics, forms, ways of representing it, the operations used in it, and ways of linking these \nsubjects together are studied. Homework will be assigned. \n \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nComputer Skills for Scientific Faculties \n\n1931102 \n\n3 \n\nPrerequisite: (Pass Qualifications Exam or 1932099) \n \n \n\nCourse Description", "source": "DS-English (2022).pdf", "chunk_id": 33, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "es \n\n1931102 \n\n3 \n\nPrerequisite: (Pass Qualifications Exam or 1932099) \n \n \n\nCourse Description \n \nThis course studies the fundamental concepts of programming using C++. Topics includes: basic \nstructures of programming tools, like: variable names, data types, input and output statements, and \noutput formatting. Files. Selection statements structures. Repetition statements structures. \nFunctions. Enumeration datatype and strings data type. Arrays; 1D and 2D. The lectures will be", "source": "DS-English (2022).pdf", "chunk_id": 34, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "s. \nFunctions. Enumeration datatype and strings data type. Arrays; 1D and 2D. The lectures will be \nprovided in the lab through active teaching methodologies individually or within groups. \n \n \n\n \nCourse Number \n\nCourse Title \nFundamentals of Information Technology \n\nCredit Hours \n\n3 \nPrerequisite: (None) \n\n1904101 \n\nCourse Description \n \nThis course will introduce the fundamental knowledge of information technologies, and it works as \nan introductory course for computer-related courses.", "source": "DS-English (2022).pdf", "chunk_id": 35, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "e of information technologies, and it works as \nan introductory course for computer-related courses. It is a combination between a theoretical and \na practical course. In particular, the course provides students with a grounding knowledge on several \nareas of information technologies including cutting edge technologies, careers in IT, basic concepts \nof cloud computing and web technologies, and a general perceptive of project management.", "source": "DS-English (2022).pdf", "chunk_id": 36, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "concepts \nof cloud computing and web technologies, and a general perceptive of project management. \nStudents are also going to be introduced practically to hardware maintenance, software diagnostics \nand technical support. In addition, critical thinking methodologies and techniques will be discussed, \nincluding numbering systems, flowcharts and related case studies. Operating systems such as \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n10", "source": "DS-English (2022).pdf", "chunk_id": 37, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ed case studies. Operating systems such as \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n10 \n\nLINUX/UNIX with, memory allocation, and an introduction to networks and security, and block \nchain concepts. The final part is concerned with technical applications needed such as excel, \nadvanced excel, technical writing, report generating and type writing. Technical sections will be \ntaught on lab sessions and group works. Active learning methodologies will be applied through role", "source": "DS-English (2022).pdf", "chunk_id": 38, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "taught on lab sessions and group works. Active learning methodologies will be applied through role \nplaying, presentations and problem solving exercises. \n \n \n\nCredit Hours \n\nCourse Number \n1904120 \n\nCourse Title \nWeb Application development \n\n3 \n\nPrerequisite: (1931102) \n \n \n\nCourse Description \n \nThis course aims to improve students ability in Front-End Web applications development using \nclient-side programming such as HTML 5, Cascading Style Sheet (CSS3), JavaScript. In addition,", "source": "DS-English (2022).pdf", "chunk_id": 39, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ng \nclient-side programming such as HTML 5, Cascading Style Sheet (CSS3), JavaScript. In addition, \nthe students will learn the fundamental concepts of front-end web development frameworks such as \nBootstrap and React front-end frameworks. The course will cover the Bootstrap framework, which \nis the most popular CSS framework for creating responsive mobile-first websites. This course will \nteach you how to create pages of a website using the Bootstrap v5 framework. In addition, the course", "source": "DS-English (2022).pdf", "chunk_id": 40, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ach you how to create pages of a website using the Bootstrap v5 framework. In addition, the course \nalso covers the basic concepts of the React framework such as Communicating with Props, Class-\nBased Components, State in React Components, Lifecycle Methods, Handling User Input with \nForms and Events, Making API Requests with React, and Single Page Application Development. \nThis course uses active teaching methodologies, such as weekly lab applied sessions, group work \nand technical projects.", "source": "DS-English (2022).pdf", "chunk_id": 41, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "e teaching methodologies, such as weekly lab applied sessions, group work \nand technical projects. \n \n \n\nCredit Hours \n\nCourse Number \n1902110 \n\nCourse Title \nObject-Oriented Programming \n\n3 \n\nPrerequisite: (1931102) \n \n \n\nCourse Description \n \nThe course aims to cover the fundamental concepts of OOP, such as Encapsulation and Information-\nHiding, Inheritance, Polymorphism, and Abstraction. The course uses Java Programming language \nstarting from the basic Java syntax based on Eclipse IDE.", "source": "DS-English (2022).pdf", "chunk_id": 42, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "The course uses Java Programming language \nstarting from the basic Java syntax based on Eclipse IDE. It focuses on the understanding and \npractical mastery of OOP principles and Java components, such as classes, objects, input/output, \nscanner objects (to read either from the keyboard or a file), loops, decision-making, array and \nmultidimensional array, data abstraction, methods, method overloading, objects garbage-collector, \nan introduction to exception-handling, etc.", "source": "DS-English (2022).pdf", "chunk_id": 43, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "methods, method overloading, objects garbage-collector, \nan introduction to exception-handling, etc. Finally, it presents an introduction to JavaFX and its \nhierarchy based on Java inheritance OOP concepts, for developing rich client applications. Lectures \nwill be given in the lab for practical application. This course is assessed through exams, practical \ntests and assignments. \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n11 \n\nCredit Hours \n\nCourse Number \n\nCourse Title", "source": "DS-English (2022).pdf", "chunk_id": 44, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "QF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n11 \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nData Structures \n\n1901242 \n\n3 \n\nPrerequisite: (1902110) \n \n \n\nCourse Description \n \nThis Course introduces the students to the concepts of data structures. Topics includes: Pointers, and \npointer operations. Array implementation of lists, stacks, and queues. Dynamic implementation of \nlists (singly, doubly, circular), stack operations and queue operations (and their implementation as", "source": "DS-English (2022).pdf", "chunk_id": 45, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "sts (singly, doubly, circular), stack operations and queue operations (and their implementation as \nlinked lists). STL, like: vectors, pairs, maps, sets, lists, stacks, queue. Recursion. Tree dynamic, like \nbinary search trees, segment, red-black, AVL trees. Hash Table and Collision resolution. Weekly \nlab assignments will be given to the students and to be discussed thourhg active teaching \nmethodologies, in addition to problem solving tasks. \n\nCredit Hours \n\nCourse Number \n\nCourse Title", "source": "DS-English (2022).pdf", "chunk_id": 46, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "methodologies, in addition to problem solving tasks. \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nDatabase Management Systems \n\n1902224 \n\n3 \n\nPrerequisite: (1902110) \n \n \n\nCourse Description \n \nThe course aims to provide students with an overview of database management system architecture \nand environment, an understanding of the basic database design and implementation techniques, and \na practical experience of designing and building relational databases. Furthermore, it enables", "source": "DS-English (2022).pdf", "chunk_id": 47, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "nd \na practical experience of designing and building relational databases. Furthermore, it enables \napplying conceptual design methodologies for databases and learning about the architecture and \nenvironments of the database management system. Students will practice using database tools to \ncreate and manage database schemas systems and formulate DDL, DML commands and run SQL \nqueries. Advanced SQL topics such as creating database functions, database Stored Procedures and", "source": "DS-English (2022).pdf", "chunk_id": 48, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "queries. Advanced SQL topics such as creating database functions, database Stored Procedures and \ndatabase Triggers will be covered. Also, students will learn how to manage database privileges and \ndesign suitable security and integrity constraints for database schemas. Furthermore, the course will \nprovide the students with practice project to connect a relational DB using a programming language, \nin addition to practice using basic Oracle Forms and Oracle Reports. This course will use a", "source": "DS-English (2022).pdf", "chunk_id": 49, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "uage, \nin addition to practice using basic Oracle Forms and Oracle Reports. This course will use a \ncombination of traditional lectures, active teaching methodologies, and hands-on lab lectures. \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n12 \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nLinear Algebra for Computational Sciences \n\n1915101 \n\n3 \n\nPrerequisite: (0301101) \n \n \n\nCourse Description", "source": "DS-English (2022).pdf", "chunk_id": 50, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ra for Computational Sciences \n\n1915101 \n\n3 \n\nPrerequisite: (0301101) \n \n \n\nCourse Description \n \n\nThe course uses linear algebra as one of the most important tools in applied mathematics, data \nscience, and artificial intelligence to help students learn how to handle vectors and matrices, solve \nmatrix-vector equations, perform Eigen value and Eigen vector and diagonalization analyses and \nuse principal component analysis to do dimension reduction on real-world datasets. It covers topics", "source": "DS-English (2022).pdf", "chunk_id": 51, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "e principal component analysis to do dimension reduction on real-world datasets. It covers topics \nsuch as: solving systems of linear equations; matrices and matrix operations; homogeneous and non-\nhomogeneous systems; Gaussian elimination; elementary matrices and a method for finding A 1; \ndeterminants; Euclidean vector spaces; linear transformations from Rn to Rm and their properties; \ngeneral vector spaces; subspaces; basis; dimension; row space; column space; null space of a matrix;", "source": "DS-English (2022).pdf", "chunk_id": 52, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "neral vector spaces; subspaces; basis; dimension; row space; column space; null space of a matrix; \nrank and nullity; and inner product spaces. All analysis will be performed in python or any similar \npopular programming language. Lectures will be given in the lab for practical application. This \ncourse is assessed through exams, practical tests and assignments. \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nSeminar-Road to Software Industry \n\n1902390 \n\n0 \n\nPrerequisite: (Passing 45 hours)", "source": "DS-English (2022).pdf", "chunk_id": 53, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Course Title \nSeminar-Road to Software Industry \n\n1902390 \n\n0 \n\nPrerequisite: (Passing 45 hours) \n \n \n\nCourse Description \n \n\nIT students increasingly demand and require coverage of emerging technologies to prepare \nthemselves for subsequent employment and research. Industry and professional bodies are also \nconcerned that IT education does not always prepare students adequately for the world of work. This", "source": "DS-English (2022).pdf", "chunk_id": 54, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "oncerned that IT education does not always prepare students adequately for the world of work. This \nprofessional practice seminar course aims to contribute to solving these two issues by providing real-\nworld experiences, inspiring students to choose their career path, and exposing them to the trends, \nmethods, and techniques that are of current interest in software industry through a weekly seminar \nseries.", "source": "DS-English (2022).pdf", "chunk_id": 55, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": ", and techniques that are of current interest in software industry through a weekly seminar \nseries. Professionals from software companies are invited to present different aspects of their \ncompanies and to share their first-hand experience with students. This course can enhance IT \neducation and motivate students by covering leading-edge technologies and practices. After each \nseminar, students will submit a personal evaluation and short reports relevant to the seminar s \npresentation.", "source": "DS-English (2022).pdf", "chunk_id": 56, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "tudents will submit a personal evaluation and short reports relevant to the seminar s \npresentation. Attendance and participation in 8 seminars, including the evaluation of each seminar \nand the short reports are the minimum requirements to pass the course. \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n13 \n\nB- Obligatory Courses Description \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nPrinciples of Statistics \n\n0301131 \n\n3 \n\nPrerequisite: (None) \n \n \n\nCourse Description", "source": "DS-English (2022).pdf", "chunk_id": 57, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "se Title \nPrinciples of Statistics \n\n0301131 \n\n3 \n\nPrerequisite: (None) \n \n \n\nCourse Description \n \nDescribing statistical data by tables, graphs and numerical measures, Chebychev s inequality and \nthe empirical rule, counting methods, combinations, permutations, elements of probability and \nrandom variables, the binomial, the Poisson, and the normal distributions, sampling distributions, \nelements of testing hypotheses, statistical inference about one and two populations parameters", "source": "DS-English (2022).pdf", "chunk_id": 58, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "elements of testing hypotheses, statistical inference about one and two populations parameters \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \n\n0301101 \n\nCalculus-1 \n\n3 \n\nPrerequisite: (None) \n \n \n\nCourse Description \n \nFunctions: domain, operations on functions, graphs of functions; trigonometric functions; limits: \nmeaning of a limit, computational techniques, limits at infinity, infinite limits; continuity; limits and", "source": "DS-English (2022).pdf", "chunk_id": 59, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "of a limit, computational techniques, limits at infinity, infinite limits; continuity; limits and \ncontinuity of trigonometric functions; the derivative: techniques of differentiation, derivatives of \ntrigonometric functions; the chain rule; implicit differentiation; differentials; Roll s Theorem; the \nmean value theorem; the extended mean value theorem; L Hopital s rule; increasing and decreasing \nfunctions; concavity; maximum and minimum values of a function; graphs of functions including", "source": "DS-English (2022).pdf", "chunk_id": 60, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ing \nfunctions; concavity; maximum and minimum values of a function; graphs of functions including \nrational functions (asymptotes) and functions with vertical tangents (cusps); antiderivatives; the \nindefinite integral; the definite integral; the fundamental theorem of calculus ; the area under a curve; \nthe area between two curves; transcendental functions: inverse functions, logarithmic and \nexponential functions; derivatives and integrals; limits (the indeterminate forms); hyperbolic", "source": "DS-English (2022).pdf", "chunk_id": 61, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "nd \nexponential functions; derivatives and integrals; limits (the indeterminate forms); hyperbolic \nfunctions and their inverses; inverse trigonometric functions. \n \n \n \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n14 \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nAI Programming \n\n1915111 \n\n3 \n\nPrerequisite: (1931102) \n \n \n\nCourse Description \n \nThis course builds programming skills for students which is required develop and implement", "source": "DS-English (2022).pdf", "chunk_id": 62, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ion \n \nThis course builds programming skills for students which is required develop and implement \napplications and algorithms of Artificial Intelligence and data science. This course will focus on \nprogramming using Python 3 https://www.python.org/. Python is high-level programming language \nlike Java, C++, or C#. This course provides students with the required skills to solve problems by \nimplementing programs using Python. Topics include: fundamentals of Python programming,", "source": "DS-English (2022).pdf", "chunk_id": 63, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "oblems by \nimplementing programs using Python. Topics include: fundamentals of Python programming, \nObject-Oriented programming using Python, Data Structures and Algorithms, and Python packages. \nThis course is a lab-based course which includes in-class practical assignments and tasks. The course \nwill also briefly introduce other programming languages such as Lisp and Prolog. This course will \nuse a combination of lectures, group discussions, case studies analysis, and hands-on work.", "source": "DS-English (2022).pdf", "chunk_id": 64, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "use a combination of lectures, group discussions, case studies analysis, and hands-on work. \n \n \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nPrinciples of Data Science \n\n1915121 \n\n3 \n\nPrerequisite: (None) \n \n \n\nCourse Description \n \nThis will be an introductory course in data science and data analytics. The objective of the course is \nto give students a broad overview of the various aspects of data science such as accessing, cleansing, \nmodelling, visualizing, and interpreting data.", "source": "DS-English (2022).pdf", "chunk_id": 65, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "spects of data science such as accessing, cleansing, \nmodelling, visualizing, and interpreting data. Students will perform hands-on learning of data \nanalytic topics, using technologies such as Python, and open-source analytic tools. The focus in the \ntreatment of these topics will be on breadth rather than depth. The student acquires the concepts and \nskills needed for programming in the Python language as well as statistical inference, and related", "source": "DS-English (2022).pdf", "chunk_id": 66, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "skills needed for programming in the Python language as well as statistical inference, and related \nmathematics along with the practical analysis of real-life data sets. The course briefly addresses the \nsocial and legal issues surrounding data analysis, including privacy and data ethical issues. This \ncourse will use a combination of lectures, group discussions, programming assignments, case studies \nanalysis, and hands-on work. \n \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n15", "source": "DS-English (2022).pdf", "chunk_id": 67, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "se studies \nanalysis, and hands-on work. \n \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n15 \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nData Mining \n\n1905222 \n\n3 \n\nPrerequisite: (1902224) \n \n \n\nCourse Description \n \nThis course provides the students with an introduction to data mining and knowledge discovery \n(KDD). The course will focus on issues relating to the feasibility, usefulness, effectiveness, and", "source": "DS-English (2022).pdf", "chunk_id": 68, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "(KDD). The course will focus on issues relating to the feasibility, usefulness, effectiveness, and \nscalability of techniques for the discovery of patterns hidden in large data sets. The students will \nlearn the basic concepts of data pre-processing, frequent pattern mining and association rules, \nsequential patterns, and sub-graph patterns; and explore their applications, Classification methods, \nsuch as decision trees, k-nearest neighbour, and Na ve Bayes, ensemble learning methods such as", "source": "DS-English (2022).pdf", "chunk_id": 69, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": ", \nsuch as decision trees, k-nearest neighbour, and Na ve Bayes, ensemble learning methods such as \nrandom forest etc., outlier detection methods, such as Simple Statistical Methods and local outlier \nfactor (LOF), cluster analysis techniques, such as k-means, hierarchical methods, and density-based \nmethods. Active learning methodologies will be applied through role playing, presentations and \nproblem-solving exercises. \n\nCredit Hours \n\nCourse Number \n\nCourse Title", "source": "DS-English (2022).pdf", "chunk_id": 70, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "aying, presentations and \nproblem-solving exercises. \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nData Engineering and Analytics \n\n1915231 \n\n3 \n\nPrerequisite: (1915121 + 1915111) \n \n \n\nCourse Description \n \n \nThis course will examine the typical Data Engineering pipeline includes architecting data platforms, \ndesigning data stores, ETL, data collection, importing, wrangling, querying, and analysing data. It", "source": "DS-English (2022).pdf", "chunk_id": 71, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "esigning data stores, ETL, data collection, importing, wrangling, querying, and analysing data. It \nalso includes performance monitoring and finetuning to ensure systems are performing at optimal \nlevels. In addition, Data modelling and design techniques, Data storage and warehousing. Also, the \ncourse will discuss the popular data engineering tools such as Airflow. Furthermore, this course \nintroduces you to the core concepts, processes, and tools you need to know to get a foundational", "source": "DS-English (2022).pdf", "chunk_id": 72, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "introduces you to the core concepts, processes, and tools you need to know to get a foundational \nknowledge of data engineering. You will gain an understanding of the modern data ecosystem and \nthe role Data Engineers, Data Scientists, and Data Analysts play in this ecosystem. This course will \ndiscuss the exploratory data analysis, feature generation and extraction. The course also includes \nhands-on labs and assignments that guide you to create and load data into the different types of", "source": "DS-English (2022).pdf", "chunk_id": 73, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "hands-on labs and assignments that guide you to create and load data into the different types of \ndatabases, and perform some basic querying operations that help you understand your dataset. \nLectures will be given in the lab for practical application. This course is assessed through exams, \npractical tests and assignments. \n \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n16 \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nApplied Statistics \n\n1915251 \n\n3 \n\nPrerequisite: (0301131)", "source": "DS-English (2022).pdf", "chunk_id": 74, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Hours \n\nCourse Number \n\nCourse Title \nApplied Statistics \n\n1915251 \n\n3 \n\nPrerequisite: (0301131) \n\nCourse Description \n \nThis course is an introduction to practical applied statistics with R, a programming language and \nsoftware environment for statistical computing, and with RStudio, an integrated development \nenvironment for R. Topics include introduction to R programming, summarizing data, probability", "source": "DS-English (2022).pdf", "chunk_id": 75, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "nt \nenvironment for R. Topics include introduction to R programming, summarizing data, probability \nand statistics in R, simple and multiple linear regression, categorical predictors and interactions, \nmodel diagnostics, collinearity, variable selection and model building, selected data analyses. The \ncourse graphically introduces those concepts utilizing R as a programming environment for applying \nstatistical/probabilistic methods and techniques.", "source": "DS-English (2022).pdf", "chunk_id": 76, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "izing R as a programming environment for applying \nstatistical/probabilistic methods and techniques. This course is a practical course and will contain \nsmall projects and programming assignments for specific problems using R programming language. \n \n\nCredit Hours \n\nCourse Number \n1905220 \n\nCourse Title \nEthics of Artificial Intelligence and Data Science \n\n3 \n\nPrerequisite: (1915121) \n\nCourse Description", "source": "DS-English (2022).pdf", "chunk_id": 77, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "of Artificial Intelligence and Data Science \n\n3 \n\nPrerequisite: (1915121) \n\nCourse Description \n \nThis course focuses on ethical issues in computing special in Artificial Intelligence (AI) and Data \nScience (DS). The main themes are privacy, fairness/bias, and explainability in AI and DS. The \nobjectives are to learn how to identify and measure these aspects in the outputs of algorithms, and \nhow to build algorithms that correct these issues. The course will follow a case-study-based", "source": "DS-English (2022).pdf", "chunk_id": 78, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "and \nhow to build algorithms that correct these issues. The course will follow a case-study-based \napproach, where we will examine these aspects by considering real-world case studies for each of \nthese ethical issues. It is intended to give students a chance to reflect on the ethical, social, and \ncultural impact of AI by focusing on the issues faced by and brought about by professionals in AI \nbut also by citizens, institutions, and societies.", "source": "DS-English (2022).pdf", "chunk_id": 79, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "aced by and brought about by professionals in AI \nbut also by citizens, institutions, and societies. Specific topics addressed in the course include the \ntechnical, safety-related, and economic implications of AI-enabled automation. Specific sub-areas \ninclude transportation, manufacturing, journalism, legal advising, and military applications; AI-\nendowed advisory tools in areas such as environmental and resource planning; biases and \nmediocrities in AIs, which can reinforce human prejudice.", "source": "DS-English (2022).pdf", "chunk_id": 80, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "nmental and resource planning; biases and \nmediocrities in AIs, which can reinforce human prejudice. Furthermore, this course covers ethical \nwriting through many practical skills including referencing styles, citation (i.e., Endnote, Mendeley, \nRefWorks, and Zotero), quotation, and also through the awareness of the good document \nrequirements, plagiarism forms, copyrights, fair use, creative commons, and intellectual property \nrights.", "source": "DS-English (2022).pdf", "chunk_id": 81, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ements, plagiarism forms, copyrights, fair use, creative commons, and intellectual property \nrights. This course will use a combination of lectures, class discussions, reading and writing \nassignments, case studies analysis, and hands-on work. \n \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n17 \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nInformation Security and Privacy \n\n1911322 \n\n3 \n\nPrerequisite: (1901363 + 1902224) \n\nCourse Description", "source": "DS-English (2022).pdf", "chunk_id": 82, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "tion Security and Privacy \n\n1911322 \n\n3 \n\nPrerequisite: (1901363 + 1902224) \n\nCourse Description \n\nThis course introduces information security and privacy. The course covers topics related to \ncryptography such as symmetric and asymmetric encryptions, hash functions, digital signatures, key \nmanagement, and public key infrastructures. Also, the course covers topics related to network \nsecurity as packet sniffing, spoofing, TLS, IPSec, Firewalls, wireless networks security.", "source": "DS-English (2022).pdf", "chunk_id": 83, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "network \nsecurity as packet sniffing, spoofing, TLS, IPSec, Firewalls, wireless networks security. \nFurthermore, topics related to Authentication, Authorization, Web security and Steganography will \nbe covered. Risk analysis and ethics, and their applications to the development of a secure healthcare \nsystems as a case study will be presented. Practical hands-on will be provided. \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nArtificial Intelligence \n\n1905320 \n\n3 \n\nPrerequisite: (1901242)", "source": "DS-English (2022).pdf", "chunk_id": 84, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Course Number \n\nCourse Title \nArtificial Intelligence \n\n1905320 \n\n3 \n\nPrerequisite: (1901242) \n \n \n\nCourse Description \n \nThe aim of the course is to enable students to solve problems using explicit knowledge and \nreasoning techniques and to develop expert systems for simple problems. Students will be able (1) \nto express knowledge of a simple domain in propositional and/or first-order predicate calculus, (2)", "source": "DS-English (2022).pdf", "chunk_id": 85, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "o express knowledge of a simple domain in propositional and/or first-order predicate calculus, (2) \nto design and develop expert solutions to simple problems where AI techniques can be employed, \nand (3) to write simple programs in Prolog that reason about the available knowledge to achieve \ntheir goals. Furthermore, students will learn some simple blind and heuristic search algorithms such \nas depth-first, breadth-first, best-first, hill climbing, and simulated annealing and techniques on how", "source": "DS-English (2022).pdf", "chunk_id": 86, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "pth-first, breadth-first, best-first, hill climbing, and simulated annealing and techniques on how \nto control search using production systems. They will also have the ability to decide the appropriate \nsearch techniques (blind or heuristic) for some problems. The students will also be given some \ngrounding in the principal techniques of data mining and be introduced to some applications of data \nmining.", "source": "DS-English (2022).pdf", "chunk_id": 87, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "g in the principal techniques of data mining and be introduced to some applications of data \nmining. Students will be introduced to some learning techniques to help obtain a clear picture of the \nconcepts of machine learning. This course will use a combination of lectures, class discussions, \nreading and writing assignments, case studies analysis, and hands-on work. \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n18 \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nNoSQL Databases \n\n1915331", "source": "DS-English (2022).pdf", "chunk_id": 88, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Plan- Bachelors \n \n \n18 \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nNoSQL Databases \n\n1915331 \n\n3 \n\nPrerequisite: (1902224) \n \n \n\nCourse Description \n \n\nThis course explores the origins of NoSQL databases and the characteristics that distinguish them \nfrom traditional relational database management systems. Core concepts of NoSQL databases will \nbe presented, followed by an exploration of how different database technologies implement these \ncore concepts.", "source": "DS-English (2022).pdf", "chunk_id": 89, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "d, followed by an exploration of how different database technologies implement these \ncore concepts. It gives a closer look at 1-2 databases from each of the four main NoSQL data models \n(key-value, column family, document, and graph), highlighting the business needs that drive the \ndevelopment and use of each database. This course will introduce some examples of NoSQL \ndatabases such as Cassandra, MongoDB, Apache Hive, HBase, and Neo4j. Finally, it presents", "source": "DS-English (2022).pdf", "chunk_id": 90, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "f NoSQL \ndatabases such as Cassandra, MongoDB, Apache Hive, HBase, and Neo4j. Finally, it presents \ncriteria that decision makers should consider when choosing between relational and non-relational \ndatabases and techniques for selecting the NoSQL database that best addresses specific use cases. \nThe course contains a practical application on NoSQL databases through small projects and weekly \nassignments. \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nTheory of Algorithms \n\n1901341 \n\n3", "source": "DS-English (2022).pdf", "chunk_id": 91, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "y \nassignments. \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nTheory of Algorithms \n\n1901341 \n\n3 \n\nPrerequisite: (1901242) \n\nCourse Description \n \nThis is the first course in algorithms. The main goal is to introduce complexity analysis of algorithms \nwith an emphasis on efficient design techniques for solving various computational problems. Topics \ninclude complexity analysis including big O, big omega, and big theta notations. Recurrence \nequations and recursive algorithms.", "source": "DS-English (2022).pdf", "chunk_id": 92, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "including big O, big omega, and big theta notations. Recurrence \nequations and recursive algorithms. Algorithm design techniques include sequential, divide-and-\nconquer, greedy, and dynamic programming. Sorting algorithms include insertion sort, merge sort, \nheap sort, and quicksort. Searching algorithms include breadth-first search and depth-first search. \nGraph-based algorithms including Kruskal s algorithm. Optimization problems include minimum \nspanning tree and multistage graph problems.", "source": "DS-English (2022).pdf", "chunk_id": 93, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "kal s algorithm. Optimization problems include minimum \nspanning tree and multistage graph problems. Implementation of several algorithms. The assessment \nof this course is through exams, quizzes, and assignments. \n \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n19 \n\nCredit Hours \n\nCourse Number \n1915370 \n\nCourse Title \nMachine Learning and Neural networks \n\n3 \n\nPrerequisite: (1905222) \n \n \n\nCourse Description", "source": "DS-English (2022).pdf", "chunk_id": 94, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "le \nMachine Learning and Neural networks \n\n3 \n\nPrerequisite: (1905222) \n \n \n\nCourse Description \n \nThis course will help students to develop basic understanding of principles of learning theory, \ntheoretical and mathematical foundations of the machine learning and derive practical solutions \nusing predictive analytics. In addition, it explains what machine learning is and how it is related to \nstatistics and data analysis.", "source": "DS-English (2022).pdf", "chunk_id": 95, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "dition, it explains what machine learning is and how it is related to \nstatistics and data analysis. The class will cover topics in regression, classification, mixture models, \nneural networks, basic deep learning, ensemble methods and reinforcement learning, hidden Markov \nmodels, and Bayesian networks, generative/discriminative learning, parametric/non-parametric \nlearning, support vector machines, unsupervised learning, expectation maximization, dimensionality \nreduction, and kernel methods.", "source": "DS-English (2022).pdf", "chunk_id": 96, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "nes, unsupervised learning, expectation maximization, dimensionality \nreduction, and kernel methods. The course will also discuss recent applications of machine learning, \nautonomous navigation, bioinformatics, speech recognition, and text and web data processing. \nDelivery will combine traditional lectures with other active teaching methodologies, such as group \ndiscussions, group solving problems, analysis of cases and debates, case study from different \ndomains, and assignments.", "source": "DS-English (2022).pdf", "chunk_id": 97, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "g problems, analysis of cases and debates, case study from different \ndomains, and assignments. \n \n\nCredit Hours \n\nCourse Number \n1915371 \n\nCourse Title \nPattern Recognition and Information Analysis \n\n3 \n\nPrerequisite: (1905222) \n \n \n\nCourse Description \n \nThe course aims to cover a wide understanding of different related topics, such as pattern recognition \nsystems, pre-processing, and feature extraction from images and documents, supervised and", "source": "DS-English (2022).pdf", "chunk_id": 98, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "gnition \nsystems, pre-processing, and feature extraction from images and documents, supervised and \nunsupervised learning, object classification and recognition. In addition, the course aims at studying \nthe concepts of information retrieval, and text and document mining. Furthermore, the course will \nintroduce the recommendation systems based on pattern recognition such as collaborative and \ncontent-based recommendation systems. Active learning methodologies will be applied through", "source": "DS-English (2022).pdf", "chunk_id": 99, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "e and \ncontent-based recommendation systems. Active learning methodologies will be applied through \nrole-playing, presentations and problem-solving exercises. Moreover, hands-on practice on \ndeveloping and modelling knowledge graphs will be weekly practiced in the lab. \n \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n20 \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nComputer Networks \n\n1901363 \n\n3 \n\nPrerequisite: (1901242) \n \n \n\nCourse Description", "source": "DS-English (2022).pdf", "chunk_id": 100, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Course Title \nComputer Networks \n\n1901363 \n\n3 \n\nPrerequisite: (1901242) \n \n \n\nCourse Description \n \nThis course explores key concepts and essential technologies of computer networks and broad range \nof topics in networking. It includes general overview, networks applications, network classifications \nand topologies, network layers, channel performance measures, transmission media, \ncommunication network protocols and architecture; Data link layer: framing, error detection and", "source": "DS-English (2022).pdf", "chunk_id": 101, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": ", \ncommunication network protocols and architecture; Data link layer: framing, error detection and \ncorrection, CSMA/CD, LAN IEEE standards; Network layer: IP service model, IP addressing, \nsubnetting, host configuration DHCP, ARP Protocol, ICMP protocol; Transport layer: UDP \nprotocol, TCP protocol, TCP reliable transfer and sliding window, TCP flow and congestion \ncontrol; Application layer: DNS protocol, NAT protocol, HTTP protocol, persistent and non-\npersistent HTTP connection.", "source": "DS-English (2022).pdf", "chunk_id": 102, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "on layer: DNS protocol, NAT protocol, HTTP protocol, persistent and non-\npersistent HTTP connection. Weekly practice in the lab. \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nSoftware Engineering \n\n1902372 \n\n3 \n\nPrerequisite: (1902224) \n\nCourse Description \n \nThis course aims is to present software engineering as a body of knowledge. The course is designed \nto present software engineering concepts and principles in parallel with the Software Development \nLife Cycle (SDLC).", "source": "DS-English (2022).pdf", "chunk_id": 103, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "re engineering concepts and principles in parallel with the Software Development \nLife Cycle (SDLC). The course will begin with an introduction to software engineering, giving \nstudents a definition of this body of knowledge, as well as a discussion of the main methodologies \nof software engineering including agile methods i.e., XP. Students will then learn about the five \nmajor phases of the SDLC: requirements gathering and analysis, design, coding/implementation, \nvalidation, and evolution.", "source": "DS-English (2022).pdf", "chunk_id": 104, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "DLC: requirements gathering and analysis, design, coding/implementation, \nvalidation, and evolution. This includes software modelling using Unified Modelling Language \n(UML), a standardized general-purpose modelling language used to create visual models of object-\noriented software, for requirements gathering and analysis, and design. Students will also learn \nabout project management and quality management for the purpose of delivering high-quality", "source": "DS-English (2022).pdf", "chunk_id": 105, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "learn \nabout project management and quality management for the purpose of delivering high-quality \nsoftware that satisfies customer needs and is within budget and schedule. Delivery will be by in-\nclass lectures, recorded lectures, practical sessions in the lab, case studies from different domains \n(i.e., healthcare domain), and assignments. Assignments will include a term project illustrative of \nprofessional practice in developing computer information systems. One or two guest speakers with", "source": "DS-English (2022).pdf", "chunk_id": 106, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "professional practice in developing computer information systems. One or two guest speakers with \nmany years of experience in software engineering will be invited to share their first-hand experience \nwith students. \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n21 \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nNatural Language Processing \n\n1905380 \n\n3 \n\nPrerequisite: (1905320) \n\nCourse Description", "source": "DS-English (2022).pdf", "chunk_id": 107, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Title \nNatural Language Processing \n\n1905380 \n\n3 \n\nPrerequisite: (1905320) \n\nCourse Description \n \nThe aim of the course is to introduce students to the concepts of Natural Language Processing and \nits applications. It discusses linguistic theories and computational techniques. The course covers the \ntopics of Origins of Natural Language Processing (NLP); Language structure representation; The \nrole of knowledge; Knowledge representation; Parsing techniques; Finite-state techniques;", "source": "DS-English (2022).pdf", "chunk_id": 108, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "on; The \nrole of knowledge; Knowledge representation; Parsing techniques; Finite-state techniques; \nRecursive and augmented transition networks; Language ambiguity; Well-Formed constructs; \nFeatures and the lexicon; Language semantics; and Applications. Examples of NLP applications \nthat are covered by this course include; machine translation, information retrieval, text \nsummarization, reference resolution, question answering, parsing, sense disambiguation,", "source": "DS-English (2022).pdf", "chunk_id": 109, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "val, text \nsummarization, reference resolution, question answering, parsing, sense disambiguation, \nmorphological analysis, speech analysis and synthesis. Active learning methodologies will be \napplied through role playing, presentations and problem-solving exercises. Moreover, hands-on \npractice on using NLTK (Natural Language Toolkit) is weekly practiced in the lab. In addition, \nguest speakers belonging to the Jordan s ICT will demonstrate state-of-the-art practices and \napplication of NLP.", "source": "DS-English (2022).pdf", "chunk_id": 110, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "belonging to the Jordan s ICT will demonstrate state-of-the-art practices and \napplication of NLP. \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \n\n1915431 \n\nBig Data \n\n3 \n\nPrerequisite: (1915461) \n \n \n\nCourse Description \n \nThis course shall first introduce the overview Big Data applications, market trend, and the things to \nlearn. Then, will introduce the fundamental platforms, such as MapReduce, Hadoop ecosystem, \nSpark, H2O Framework, Apache Storm, and other tools.", "source": "DS-English (2022).pdf", "chunk_id": 111, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "latforms, such as MapReduce, Hadoop ecosystem, \nSpark, H2O Framework, Apache Storm, and other tools. Afterwards, the course will introduce \nseveral data storage methods and how to upload, distribute, and process them. This shall include \nHDFS, HBase, Pig, and Hive, document database, and graph database. The course will go on to \nintroduce different ways of handling data analytics algorithms on different platforms. Then, the \ncourse will introduce visualization issues on Big Data.", "source": "DS-English (2022).pdf", "chunk_id": 112, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "lgorithms on different platforms. Then, the \ncourse will introduce visualization issues on Big Data. It also provides a first hands-on experience \nin handling and analyzing large, complex structured, semi-structured, and unstructured data. \nStudents will then have fundamental knowledge on Big Data to handle various real-world \nchallenges. The course will zoom in to discuss large-scale machine learning methods, and related \nbig data frameworks.", "source": "DS-English (2022).pdf", "chunk_id": 113, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "urse will zoom in to discuss large-scale machine learning methods, and related \nbig data frameworks. The course contains a set of homeworks and weekly tasks. The course hosts \nseveral experts in the field of big data from the local market to cover the practical side of the course \nand to share their first-hand experience with students. \n \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n22 \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nData Visualization \n\n1915441 \n\n3", "source": "DS-English (2022).pdf", "chunk_id": 114, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "achelors \n \n \n22 \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nData Visualization \n\n1915441 \n\n3 \n\nPrerequisite: (1915370) \n \n \n\nCourse Description \n \nThis course will give you the skills you need to leverage data to reveal valuable insights and advance \nyour career. The course will focus on studying algorithms for creating effective visualizations \ncapable of promoting data comprehension and analysis. The course discusses the key techniques", "source": "DS-English (2022).pdf", "chunk_id": 115, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ons \ncapable of promoting data comprehension and analysis. The course discusses the key techniques \nand theory used in visualization, including data models, graphical perception, and visual encoding \nand interaction. Students will learn about the variety of existing approaches and systems in data \nvisualization and develop skills in evaluating different visualization techniques as applied to \nparticular tasks. Also, these visualization techniques will be used to display data through static and", "source": "DS-English (2022).pdf", "chunk_id": 116, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "icular tasks. Also, these visualization techniques will be used to display data through static and \ninteractive forms and graphics that help in understanding relationships and communicating with \nnon-specialists. The course also discusses visual representation methods, such as graph drawing, \nparallel coordinates, tree mapping, and encourages students to design new innovative visualizations \nand experiment their potentials on case studies of various data sources. In addition, the course will", "source": "DS-English (2022).pdf", "chunk_id": 117, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "experiment their potentials on case studies of various data sources. In addition, the course will \nintroduce the popular packages in python programming and other open sources visualization tools. \nDelivery will combine traditional lectures with other active teaching methodologies, such as group \ndiscussions, group solving problems, analysis of cases and debates, case study from different \ndomains, and assignments. \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nCloud Computing \n\n1915461 \n\n3", "source": "DS-English (2022).pdf", "chunk_id": 118, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": ", and assignments. \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nCloud Computing \n\n1915461 \n\n3 \n\nPrerequisite: (1905222 + 1901363) \n\nCourse Description \n \nThe course discusses the basic APIs used in the Microsoft and Amazon Clouds, including the \ntechniques for building, deploying, and maintaining machine images and applications. Student will \nlearn how to use Cloud as the infrastructure for existing and new services. They will use open source", "source": "DS-English (2022).pdf", "chunk_id": 119, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "rn how to use Cloud as the infrastructure for existing and new services. They will use open source \nimplementations of highly available clustering computational environments, as well as the \nRepresentational State Transfer Web Services called (RESTful), to build very powerful and efficient \napplications. Also, students will learn how to deal with not trivial issues in the Cloud, such as load \nbalancing, caching, distributed transactions, and identity and authorization management. It is", "source": "DS-English (2022).pdf", "chunk_id": 120, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ad \nbalancing, caching, distributed transactions, and identity and authorization management. It is \nexpected that students will become familiar with Linux OS. In addition, the course will cover \nContainer Orchestration, Docker, Kubernetes, Cloud-based File System, Cloud-based Databases, \nScalable Data Storage, Cloud based Machine Learning, Cloud based Analytics, Graph Processing, \nGraph Databases on the Cloud, introduction to Big Data Programming frameworks such as \nMapReduce, Spark, and Hadoop.", "source": "DS-English (2022).pdf", "chunk_id": 121, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "on the Cloud, introduction to Big Data Programming frameworks such as \nMapReduce, Spark, and Hadoop. It covers topics of data centers, virtualization, cloud storage, and \nprogramming models. The course also addresses the motivating factors, benefits, challenges and the \nservice model. The course introduces several concepts in the design and management of data \ncenters. It also presents concepts such data distribution, robustness, consistency and redundancy. \n\nQF-AQAC-02.03.01.2", "source": "DS-English (2022).pdf", "chunk_id": 122, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ents concepts such data distribution, robustness, consistency and redundancy. \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n23 \n\nDelivery will combine traditional lectures with other active teaching methodologies, such as group \ndiscussions, group solving problems, analysis of cases and debates, case study from different \ndomains, and assignments. \n \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nDeep Learning \n\n1915471 \n\n3 \n\nPrerequisite: (1915370) \n \n \n\nCourse Description", "source": "DS-English (2022).pdf", "chunk_id": 123, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Course Title \nDeep Learning \n\n1915471 \n\n3 \n\nPrerequisite: (1915370) \n \n \n\nCourse Description \n \nThis course will introduce students to the concept of Deep learning, and it will help students to \nunderstand its key principles. The course covers feed-forward neural networks, convolutional \nneural networks, recurrent neural network, deep reinforcement learning, and other fundamental \nconcepts and techniques. This course will also teach the students the mathematical foundation", "source": "DS-English (2022).pdf", "chunk_id": 124, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "tal \nconcepts and techniques. This course will also teach the students the mathematical foundation \nunderlying deep learning. It is expected by the end of the course, students will be able to build, train \nand apply fully connected deep neural networks, and to know how to implement efficient deep \nneural networks using the most popular libraries for Deep Learning such as Keras, PyTorch, and \nTensorFlow. The course will introduce students also to a wide spectrum of deep learning", "source": "DS-English (2022).pdf", "chunk_id": 125, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "orch, and \nTensorFlow. The course will introduce students also to a wide spectrum of deep learning \napplications in real-word problems. \nDelivery will combine traditional lectures with other active teaching methodologies, such as group \ndiscussions, group solving problems, analysis of cases and debates, case study from different \ndomains, and assignments. \n \n \n \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nModel Deployment Frameworks \n\n1915481 \n\n3 \n\nPrerequisite: (1915370)", "source": "DS-English (2022).pdf", "chunk_id": 126, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "se Number \n\nCourse Title \nModel Deployment Frameworks \n\n1915481 \n\n3 \n\nPrerequisite: (1915370) \n \n \n\nCourse Description \n \nIn this course, the student will learn how to deploy ML models and make them available to end-\nusers. In addition, the student will learn about the Model Deployment Platforms such as Django and \nFlask, and others. The student will build scalable and reliable infrastructure to deliver inference \nrequests both in real-time and batch depending on the use case.", "source": "DS-English (2022).pdf", "chunk_id": 127, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "infrastructure to deliver inference \nrequests both in real-time and batch depending on the use case. Student will also implement \nworkflow automation and progressive delivery that complies with current MLOps practices to keep \nyour production system running. Additionally, you will continuously monitor your system to detect \nmodel decay, remediate performance drops, and avoid system failures so it can continuously operate \nat all times.", "source": "DS-English (2022).pdf", "chunk_id": 128, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "remediate performance drops, and avoid system failures so it can continuously operate \nat all times. Delivery will combine traditional lectures with other active teaching methodologies, \nsuch as group discussions, group solving problems, analysis of cases and debates, case study from \ndifferent domains, and assignments. \n \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n24 \n\nCredit Hours \n\nCourse Number \n\nCourse Title \n\n1915490 \n\nTraining \n\n0 \n\nPrerequisite: (Success 90 hours)", "source": "DS-English (2022).pdf", "chunk_id": 129, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "rs \n\nCourse Number \n\nCourse Title \n\n1915490 \n\nTraining \n\n0 \n\nPrerequisite: (Success 90 hours) \n \n \n\nCourse Description \n \nThe student must be trained in an institution, for at least 6 weeks. The student must provide a \nreport from the institution/enterprise that shows the efficiency of this training according to the \nregulations of the Dean's Council of the Faculty's Departments or get a certificate in one of the \ninformation technology fields from a recognized institute. \n\nCredit Hours", "source": "DS-English (2022).pdf", "chunk_id": 130, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "tificate in one of the \ninformation technology fields from a recognized institute. \n\nCredit Hours \n\nCourse Number \n\nCourse Title \n\n1915491 \n\nProject-1 \n\n0 \n\nPrerequisite: (Success 90 hours) \n \n \n\nCourse Description \n \nProject includes theoretical and practical aspects in Computer Science; the first stage of the \ngraduation project, includes project proposal, analysis and preparation, and project design stages. A", "source": "DS-English (2022).pdf", "chunk_id": 131, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "duation project, includes project proposal, analysis and preparation, and project design stages. A \nreport at the end of each stage should be delivered to the department and the supervisor. \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \n\n1915492 \n\nProject- 2 \n\n3 \n\nPrerequisite: (1915491) \n \n \n\nCourse Description \n \nIt includes the second stage of the graduation project, which covers the implementation, testing and \nevaluation stages, and completing the project in its final version.", "source": "DS-English (2022).pdf", "chunk_id": 132, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "the implementation, testing and \nevaluation stages, and completing the project in its final version. A documentation of the whole \nproject should be delivered to the department and the supervisor. Finally, the project should be \nsubmitted for presentation and final examination. \n \n \n \n \n \n \n \n \n \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n25 \n\nC - Elective Courses Description \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nBioinformatics \n\n1915342 \n\n3 \n\nPrerequisite: (1905222)", "source": "DS-English (2022).pdf", "chunk_id": 133, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Hours \n\nCourse Number \n\nCourse Title \nBioinformatics \n\n1915342 \n\n3 \n\nPrerequisite: (1905222) \n \n \n\nCourse Description \n \nThis course explores how the integration of computer science, statistics and mathematics knowledge \ncan be used to tackle complex life sciences problems. It covers several topics like: general genomics, \ncells and DNA sequence features; sequence alignment; sequence motifs; search sequence databases;", "source": "DS-English (2022).pdf", "chunk_id": 134, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "cells and DNA sequence features; sequence alignment; sequence motifs; search sequence databases; \nphylogenetic trees; Hidden Markov Models, and microarray data analysis: normalization and \nclustering; other emerging topics. Active learning methodologies will be applied through role-\nplaying, presentations and problem-solving exercises. The students are required to present case \nstudies on one of the related topics. \n \n \n \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title", "source": "DS-English (2022).pdf", "chunk_id": 135, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "case \nstudies on one of the related topics. \n \n \n \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nFinancial and Business Data Analytics \n\n1915252 \n\n3 \n\nPrerequisite: (1905222) \n\nCourse Description \n \nThis course reveals the reality of the data analytics world and outlines clear and actionable steps \nthat will equip the student with the tools needed for this next phase of business evolution. It will \nhelp you understand the basic concepts in data analytics as well as financial and business", "source": "DS-English (2022).pdf", "chunk_id": 136, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "t will \nhelp you understand the basic concepts in data analytics as well as financial and business \napplications. It contains proven steps and strategies on how to use everyday data analytics for \nfinancial services to increase profitability and customer satisfaction. Furthermore, the student will \napply the data mining concepts on different types of financial and business datasets. In addition, the", "source": "DS-English (2022).pdf", "chunk_id": 137, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "y the data mining concepts on different types of financial and business datasets. In addition, the \nstudents will learn about the business intelligence concepts and the popular BI tools such as power \nBI, and Tableau. \n \n \n \n \n \n \n \n \n \n \n \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n26 \n\nCredit Hours \n\nCourse Number \n1915232 \n\nCourse Title \nData Management and Governance \n\n3 \n\nPrerequisite: (1905222) \n \n \n\nCourse Description", "source": "DS-English (2022).pdf", "chunk_id": 138, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "e Title \nData Management and Governance \n\n3 \n\nPrerequisite: (1905222) \n \n \n\nCourse Description \n \n\nThis course introduces the fundamentals of data governance, and management, creating a data \ngovernance strategy, benefits from data governance, data governance implementations, managing, \nmonitoring, and measuring data governance efforts. The student will learn about the roles \n& responsibilities in a data Governance, data Governance challenges, the difference between data", "source": "DS-English (2022).pdf", "chunk_id": 139, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "& responsibilities in a data Governance, data Governance challenges, the difference between data \ngovernance and data Management, setting up a data governance Framework, data governance tools \nand techniques, data governance implementations, and best practices of data governance and data \nmanagement. Delivery will combine traditional lectures with other active teaching methodologies, \nsuch as group discussions, group solving problems, analysis of cases and debates, case study from", "source": "DS-English (2022).pdf", "chunk_id": 140, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "such as group discussions, group solving problems, analysis of cases and debates, case study from \ndifferent domains, and assignments. In addition, The course will host a number of experts in the \nfield of data management from the local market to cover the practical side of the course and share \ntheir first-hand experience with students. \n\nCredit Hours \n\nCourse Number \n1905310 \n\nCourse Title \nAdvance AI programming \n\n3 \n\nPrerequisite: (1915111 + 1902110) \n \n \n\nCourse Description", "source": "DS-English (2022).pdf", "chunk_id": 141, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Title \nAdvance AI programming \n\n3 \n\nPrerequisite: (1915111 + 1902110) \n \n \n\nCourse Description \n \n\nThis course will focus on understanding of how to perform Machine Learning with Python. In this \ncourse, student will learn to understand and format problems to be solved using ML techniques. \nThey will also gain knowledge representation skills for preparing data to be used in prediction tasks \nand they will acquire expertise in creating models by combing the data with algorithms in that can", "source": "DS-English (2022).pdf", "chunk_id": 142, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "and they will acquire expertise in creating models by combing the data with algorithms in that can \npredict the future. Students will learn how to use Python and libraries such as it scikit-learn to create \nMachine Learning solutions. This course will cover an introduction to ML and applications, setting \nup a Python development environment correctly, complete machine learning tool sets, the various \nregression, classification and other ML algorithms performance metrics such as R-squared, MSE,", "source": "DS-English (2022).pdf", "chunk_id": 143, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "us \nregression, classification and other ML algorithms performance metrics such as R-squared, MSE, \naccuracy, confusion matrix, precision, recall, etc., unsupervised Machine Learning (ML) algorithms \nsuch as Hierarchical clustering, k-means clustering etc., Jupyter (IPython) notebook, Spyder and \nvarious IDE, Communicating visually and effectively with Matplotlib and Seaborn, using of \ntrain/test, K-fold and Stratified K-fold cross validation to select correct model and predict model", "source": "DS-English (2022).pdf", "chunk_id": 144, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "rain/test, K-fold and Stratified K-fold cross validation to select correct model and predict model \nperform with unseen data, and much more. Active learning methodologies will be applied through \nrole-playing, presentations and problem-solving exercises. Moreover, hands-on practice on \ndeveloping real-world IoT applications will be weekly practiced in the lab. \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n27 \n\nCredit Hours \n\nCourse Number \n1915341 \n\nCourse Title \nSocial Network Analysis", "source": "DS-English (2022).pdf", "chunk_id": 145, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Bachelors \n \n \n27 \n\nCredit Hours \n\nCourse Number \n1915341 \n\nCourse Title \nSocial Network Analysis \n\n3 \n\nPrerequisite: (1915222 + 1901341) \n \n \n\nCourse Description \n \n\nThis course gives a basic understanding of what social network analysis is and how it can be applied. \nThe course will cover recent information on the structure and analysis of large social and \ninformation networks and on models and algorithms that abstract their basic properties. In this", "source": "DS-English (2022).pdf", "chunk_id": 146, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "d \ninformation networks and on models and algorithms that abstract their basic properties. In this \ncourse student will learn about social networks structure and evolution, and how to practically \nanalyze large-scale network data and how to reason about it. Topics covered in this course includes \ngraph theory, link prediction, recommendation systems, graph mining, network community \ndetection, graph visualization, graph data science, information propagation on the web, and", "source": "DS-English (2022).pdf", "chunk_id": 147, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "unity \ndetection, graph visualization, graph data science, information propagation on the web, and \nconnections with work in the social sciences and economics. \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nHealthcare and Medical Data Analytics \n\n1915352 \n\n3 \n\nPrerequisite: (1905222) \n\nCourse Description \n \n\nThis course introduces the characteristics of medical data and associated data mining challenges on \ndealing with such data.", "source": "DS-English (2022).pdf", "chunk_id": 148, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "he characteristics of medical data and associated data mining challenges on \ndealing with such data. It focuses on studying those data science techniques in the context of \nconcrete healthcare analytic applications such as predictive modelling, computational phenotyping \nand patient similarity, diseases detection. In this course, the students will learn how can the \napplication of data analytics improve health and health care and how the data analytics-based", "source": "DS-English (2022).pdf", "chunk_id": 149, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "the \napplication of data analytics improve health and health care and how the data analytics-based \nsolutions can result in better diagnosis, and better care. In healthcare, large amounts of \nheterogeneous medical data have become available in various healthcare organizations (payers, \nproviders, pharmaceuticals). This data could be an enabling resource for deriving insights for \nimproving care delivery and reducing waste. The enormity and complexity of these datasets present", "source": "DS-English (2022).pdf", "chunk_id": 150, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "improving care delivery and reducing waste. The enormity and complexity of these datasets present \ngreat challenges in analyses and subsequent applications to a practical clinical environment. The \nbasics of data mining within the context of a wide variety of health care settings, and the types of \ndata and data analysis challenges that you will likely encounter by gathering the data, move on to \nclassifying, analyzing and finally visualizing medical data.", "source": "DS-English (2022).pdf", "chunk_id": 151, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "nter by gathering the data, move on to \nclassifying, analyzing and finally visualizing medical data. The course will host a number of experts \nin the field of IT operations and related healthcare sector from the local market to cover the practical \nside of the course and share their first-hand experience with students. \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n28 \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nMining Software Repositories \n\n1915353 \n\n3 \n\nPrerequisite: (1915370)", "source": "DS-English (2022).pdf", "chunk_id": 152, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ourse Number \n\nCourse Title \nMining Software Repositories \n\n1915353 \n\n3 \n\nPrerequisite: (1915370) \n\nCourse Description \n \n\nThis course introduces the methods and tools of mining software repositories and artifacts used by \nsoftware developers and researchers. Students will learn to extract and abstract data from software \nartifacts and repositories such as source code, version control systems and revisions, mailing-lists \nand discussions, and issue-trackers and issues.", "source": "DS-English (2022).pdf", "chunk_id": 153, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ersion control systems and revisions, mailing-lists \nand discussions, and issue-trackers and issues. The students will learn how to use machine learning \nto solve many problems in software Engineering. Students will also learn about various techniques \nof analyzing this data to identify meaningful relationships, patterns and trends, to recover \nbehaviours and software development processes from evidence, or to empirically test hypotheses \nabout software development. \n\nCourse Title", "source": "DS-English (2022).pdf", "chunk_id": 154, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "esses from evidence, or to empirically test hypotheses \nabout software development. \n\nCourse Title \nInformation Technology Entrepreneurship and \n\nCredit Hours \n\nCourse Number \n\n1902383 \n\n3 \n\nInnovation \n\nPrerequisite: (1902224) \n \n \n\nCourse Description \n\nThis course is to introduce students to new and innovative technologies and examine how these \npowerful systems have fundamentally reshaped modern organizations. These new information", "source": "DS-English (2022).pdf", "chunk_id": 155, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ow these \npowerful systems have fundamentally reshaped modern organizations. These new information \ntechnologies are being used to change how organizations operate, produce products and services, \nand communicate both internally and as well as with external partners. Using online collaborative \ntechnologies that were developed in the context of social networking and online communities and \ndata-driven and Artificial Intelligence technologies, corporations are reengineering both internal", "source": "DS-English (2022).pdf", "chunk_id": 156, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "data-driven and Artificial Intelligence technologies, corporations are reengineering both internal \nbusiness processes and those related to customers, suppliers, and business partners. Developing \ninnovative ways to communicate and collaborate can lead to new business opportunities and new \nefficiencies. This course investigates the technologies, methods, and practices of developing new \ninnovations such as online communities, data revolution, and the Artificial Intelligence paradigms", "source": "DS-English (2022).pdf", "chunk_id": 157, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "innovations such as online communities, data revolution, and the Artificial Intelligence paradigms \nto reengineer business processes and develop innovative, value-adding, and sustainable business \nactivities within existing corporations and new start-ups. The students will learn how to translate \ninnovative, data-driven, and AI ideas into concrete project requirements, develop technological \nsolutions, launch a business venture, and assess its effectiveness. Delivery will combine traditional", "source": "DS-English (2022).pdf", "chunk_id": 158, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "utions, launch a business venture, and assess its effectiveness. Delivery will combine traditional \nlectures with other active teaching methodologies. A case study of innovative Healthcare \nInformation Systems (HCIS) is selected for discussion throughout the course to highlight basic \nconcepts of innovative HCIS project development. Students are advised to develop innovative \nsolutions for simple problems in HCIS. \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n29 \n\n \nCourse Number", "source": "DS-English (2022).pdf", "chunk_id": 159, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "simple problems in HCIS. \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n29 \n\n \nCourse Number \n\nCredit Hours \n\nCourse Title \nTime Series Analysis \n\n3 \n\n1915442 \n\nPrerequisite: (1915370) \n \n \n\nCourse Description \n \n\nThis course introduces time series analysis using modern methodologies. Topics covered are: \ndescriptive methods, plots, smoothing, differencing; the autocorrelation function, the correlogram", "source": "DS-English (2022).pdf", "chunk_id": 160, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "descriptive methods, plots, smoothing, differencing; the autocorrelation function, the correlogram \nand variogram, the periodogram; estimation and elimination of trend and seasonal components; \nstationary processes, modelling and forecasting with autoregressive moving average (ARMA) \nmodels; spectral analysis, the fast Fourier transform, periodogram averages and other smooth \nestimates of the spectrum; time-invariant linear filters; non-stationary and seasonal time series", "source": "DS-English (2022).pdf", "chunk_id": 161, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "estimates of the spectrum; time-invariant linear filters; non-stationary and seasonal time series \nmodels; ARIMA processes, identification, estimation and diagnostic checking, and forecasting. In \naddition, forecasting using Machine learning, forecasting using Deep learning (ANNs, CNNs, \nRNNs, and LSTMs) for time series data sets will be discussed. The course will discuss many \napplications such as stock prices forecasting, annual rainfall forecasting, sunspot activity", "source": "DS-English (2022).pdf", "chunk_id": 162, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "many \napplications such as stock prices forecasting, annual rainfall forecasting, sunspot activity \nforecasting, the price of agricultural products forecasting, electricity consumption forecasting, and \nmore. \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nIT Project Management \n\n1904472 \n\n3 \n\nPrerequisite: (1902371) \n \n \n\nCourse Description \n \nStudents are expected to explore the processes, procedures, tools and techniques and results to create", "source": "DS-English (2022).pdf", "chunk_id": 163, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ents are expected to explore the processes, procedures, tools and techniques and results to create \nand execute an integrated project plan; it also expected to create project charter, determine \nrequirements, defining creating and managing the project scope, and validating the deliverables. IT \nproject managers are responsible for planning, organizing, allocating resources, budgeting and \nsuccessfully executing organizations specific IT goals. This course uses active teaching", "source": "DS-English (2022).pdf", "chunk_id": 164, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ing and \nsuccessfully executing organizations specific IT goals. This course uses active teaching \nmethodologies, such as weekly lab applied sessions, group work and technical projects. In addition, \nspeakers from the industry will be invited to discuss case studies and show the latest trends on the \nindustry. \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n30 \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nComputer Vison \n\n1905322 \n\n3 \n\nPrerequisite: (1915370) \n \n \n\nCourse Description", "source": "DS-English (2022).pdf", "chunk_id": 165, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Course Title \nComputer Vison \n\n1905322 \n\n3 \n\nPrerequisite: (1915370) \n \n \n\nCourse Description \n \nThis course introduces the students to the fundamental techniques and concepts of computer vision \nand image processing. This course will cover the following topics: image formation and \nrepresentation, image enhancement in spatial and frequency domain, image morphological \nprocessing, image registration, edge detection and segmentation, feature detection and matching,", "source": "DS-English (2022).pdf", "chunk_id": 166, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "processing, image registration, edge detection and segmentation, feature detection and matching, \nobject recognition and classification, object detection and tracking, 3D vision, and application to \nmodels of human and machine vision. This course will use a combination of lectures, class \ndiscussions, reading and writing assignments, case studies analysis, and hands-on work. Practical \nhands-on computer vision best practices will be given in Lab weekly. \n\nCredit Hours \n\nCourse Number", "source": "DS-English (2022).pdf", "chunk_id": 167, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ds-on computer vision best practices will be given in Lab weekly. \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nDigital Speech Recognition \n\n1905382 \n\n3 \n\nPrerequisite: (1905320) \n \n \n\nCourse Description \n \n\nThis course aims to provide students with the foundation knowledge on speech production and \nperception along with processing of speech signal in digital domain. It helps students to design, \ndevelop, and evaluate intelligent systems that are based on human speech biometric. Various", "source": "DS-English (2022).pdf", "chunk_id": 168, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "sign, \ndevelop, and evaluate intelligent systems that are based on human speech biometric. Various \napplications will be taught in this course including Automatic Speech Recognition, Automatic \nSpeech Synthesis, Automatic Speaker Recognition, Automatic Dialects Recognition, Automatic \nEmotions Recognition, Automatic Speech to Speech Translation, Conversational Agents, and many \nothers. The state-of-the-art digital speech processing tools and algorithms, and written and spoken", "source": "DS-English (2022).pdf", "chunk_id": 169, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "thers. The state-of-the-art digital speech processing tools and algorithms, and written and spoken \nlanguage resources will be covered in this course. Active learning methodologies will be applied \nthrough role playing, presentations and problem-solving exercises. Moreover, hands-on practice on \ndeveloping automatic Speech processing applications will be weekly practiced in the lab. \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n31 \n\nCredit Hours \n\nCourse Number \n\nCourse Title", "source": "DS-English (2022).pdf", "chunk_id": 170, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "QF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n31 \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nArabic Language Engineering \n\n1905480 \n\n3 \n\nPrerequisite: (1905380) \n \n \n\nCourse Description \n \nArabic Language Engineering course is an interdisciplinary course concerned with the use of \nNatural Language Processing tools and techniques to analyze and generate Arabic language in the \nforms of text and speech. It investigates the challenges of processing Arabic language. It discusses", "source": "DS-English (2022).pdf", "chunk_id": 171, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "rms of text and speech. It investigates the challenges of processing Arabic language. It discusses \nthe linguistic theories and computational techniques for machine translation, information retrieval, \ntext summarization, reference resolution, question answering, parsing, sense disambiguation, \nmorphological analysis, speech analysis and synthesis. Active learning methodologies will be \napplied through role playing, presentations and problem-solving exercises. Moreover, hands-on", "source": "DS-English (2022).pdf", "chunk_id": 172, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "be \napplied through role playing, presentations and problem-solving exercises. Moreover, hands-on \npractice on developing NLP applications for Arabic will be weekly practiced in the lab. In addition, \nguest speakers belonging to the Jordan s ICT will demonstrate state-of-the-art practices on Arabic \nNLP applications. \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nComputational Problems and Techniques \n\n1901444 \n\n3 \n\nPrerequisite: ( 1901341\n \n) \n \n \n\nCourse Description", "source": "DS-English (2022).pdf", "chunk_id": 173, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "nal Problems and Techniques \n\n1901444 \n\n3 \n\nPrerequisite: ( 1901341\n \n) \n \n \n\nCourse Description \n \nThe main goal of this course is to enable the students to solve classical computational problems, \nsuch as 0-1 knapsack, rod cutting, matrix chain multiplication, N-queens, and sudoku, using various \ncomputational techniques. The students will be introduced to the theoretical concepts for the \ncomputational problems and techniques and their implementations. The course covers various", "source": "DS-English (2022).pdf", "chunk_id": 174, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "or the \ncomputational problems and techniques and their implementations. The course covers various \ncomputational techniques such as complete search, iterative (all subsets and all permutations), \nbacktracking, greedy approach, dynamic programming, and divide-and-conquer (binary search \ntechnique). Also, the course covers two-pointers and range queries including static (partial and \nprefix sums) and dynamic (segment tree) with their implementations and usage. Weekly problems", "source": "DS-English (2022).pdf", "chunk_id": 175, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "and \nprefix sums) and dynamic (segment tree) with their implementations and usage. Weekly problems \nwill be presented in the lab either individually or within groups. \n \n \n \n \n \n \n \n \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n32 \n\nCredit Hours \n\nCourse Number \n1904253 \n\nCourse Title \nWeb Server Programming \n\n3 \n\nPrerequisite: (1904120) \n \n \n\nCourse Description \n \nThis course is intended to teach students the skills and techniques required to create fully \nfunctioning websites.", "source": "DS-English (2022).pdf", "chunk_id": 176, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "intended to teach students the skills and techniques required to create fully \nfunctioning websites. Students will learn how to configure Internet services, design and publish \ndynamic and interactive web pages, implement both client and server-side scripting, and use data \naccess technologies to manipulate databases. \nSpecifically, students are introduced to the Visual Web Developer, and how to use it to design, \nbuild, configure server side websites built using ASP.Net.", "source": "DS-English (2022).pdf", "chunk_id": 177, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Developer, and how to use it to design, \nbuild, configure server side websites built using ASP.Net. In addition, the VWD is used to introduce \nbuilding DB-based web applications, and introduce the concepts of client state management and \nweb services. This course uses active teaching methodologies, such as weekly lab applied sessions, \ngroup work and technical projects. In addition, speakers from the industry will be invited to discuss \ncase studies and show the latest trends on the industry.", "source": "DS-English (2022).pdf", "chunk_id": 178, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "the industry will be invited to discuss \ncase studies and show the latest trends on the industry. \n \n \n \n \n \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nEmbedded Systems \n\n1905330 \n\n3 \n\nPrerequisite: (1901242 and 1905320) \n \n \n\nCourse Description \n \nThe course aims to introduce students to basic logic design system, logic gates, combinational and \nsequential logic circuits. Then basic input and output devices, after that microcontroller-based", "source": "DS-English (2022).pdf", "chunk_id": 179, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "sequential logic circuits. Then basic input and output devices, after that microcontroller-based \nembedded systems design, development and implementation with focus on real-time applications. \nTopics to be covered include, basic logic design, basic input and output systems. Embedded system \ntypes, microcontroller architecture, programming (Embedded C), interrupt management and other \nrelated topics. This course will use a combination of lectures, class discussions, reading and writing", "source": "DS-English (2022).pdf", "chunk_id": 180, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ted topics. This course will use a combination of lectures, class discussions, reading and writing \nassignments, case studies analysis, and hands-on work. Practical hands-on computer vision best \npractices will be given in Lab weekly. \n \n \n \n \n \n \n \n \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n33 \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nIntelligent Robotics \n\n1905431 \n\n3 \n\nPrerequisite: (1905320) \n \n \n\nCourse Description", "source": "DS-English (2022).pdf", "chunk_id": 181, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "rse Title \nIntelligent Robotics \n\n1905431 \n\n3 \n\nPrerequisite: (1905320) \n \n \n\nCourse Description \n \nThe aim of this course is to introduce students to the basic principles of robotics. It covers the \nassembly, programming, and control of a simple robot. Students are expected to (1) know and \nunderstand key concepts relating to robots and robotics systems, (2) identify examples of robots, \n(3) identify the main parts of a robot and their function, including microcontrollers, actuators,", "source": "DS-English (2022).pdf", "chunk_id": 182, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "(3) identify the main parts of a robot and their function, including microcontrollers, actuators, \nsensors, and power sources, (4) understand the elements of a simple control system, and test a \ncontrol system, (5) understand basic programming concepts, and create and execute a program, and \n(6) set up a robot, implement robotic motion, and control a robot in an environment. Active learning \nmethodologies will be applied through role-playing, presentations and problem-solving exercises.", "source": "DS-English (2022).pdf", "chunk_id": 183, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "methodologies will be applied through role-playing, presentations and problem-solving exercises. \nMoreover, hands-on practice on developing real-world IoT applications will be weekly practiced in \nthe lab. In addition, guest speakers belonging to the Jordan s ICT will demonstrate state-of-the-art \npractices and robot development. \n \n \n \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nVirtual Reality \n\n1905453 \n\n3 \n\nPrerequisite: (1915441) \n \n \n\nCourse Description", "source": "DS-English (2022).pdf", "chunk_id": 184, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Course Title \nVirtual Reality \n\n1905453 \n\n3 \n\nPrerequisite: (1915441) \n \n \n\nCourse Description \n \nThis course introduces the basic principles of Virtual Reality and its applications. The necessary \nhardware and software components of interactive 3D systems as well as human factors are \ndiscussed. The material is reinforced by practical assignments and projects. The topics will be as \nfollows: applications, human sensory/motor system & capabilities. History of VR and AR,", "source": "DS-English (2022).pdf", "chunk_id": 185, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "ill be as \nfollows: applications, human sensory/motor system & capabilities. History of VR and AR, \ndifferences between VR/AR and normal experience. Virtual Reality Technology (VR): VR input \ndevices, filtering & tracking, VR output devices, Augmented Reality (AR) hardware, spatial audio, \nand haptic. This course aims to make students know the basic concept and framework of virtual \nreality, teach students the principles and multidisciplinary features of virtual reality, teach students", "source": "DS-English (2022).pdf", "chunk_id": 186, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "y, teach students the principles and multidisciplinary features of virtual reality, teach students \nthe technology for multimodal user interaction and perception in VR, in particular the visual, audial \nand haptic interface and behaviour, and provide students with an introduction to the VR system \nframework and development tools. Active learning methodologies will be applied through role \nplaying, presentations and problem-solving exercises. Moreover, hands-on practice on virtual", "source": "DS-English (2022).pdf", "chunk_id": 187, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "role \nplaying, presentations and problem-solving exercises. Moreover, hands-on practice on virtual \nreality applications will be weekly practiced in the lab. \n \n \n \n \n \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n34 \n\nCredit Hours \n\nCourse Number \n\nCourse Title \nSpecial Topics in Data Science \n\n1915494 \n\n3 \n\nPrerequisite: (1915370) \n \n \n\nCourse Description \n \nSelected Topics in advanced areas of data science technologies. Department committee should make", "source": "DS-English (2022).pdf", "chunk_id": 188, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "Selected Topics in advanced areas of data science technologies. Department committee should make \nthe formal approval for the selected topic. \n \n \n \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n35", "source": "DS-English (2022).pdf", "chunk_id": 189, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "formal approval for the selected topic. \n \n \n \n\nQF-AQAC-02.03.01.2 \n Study Plan- Bachelors \n \n \n35", "source": "DS-English (2022).pdf", "chunk_id": 190, "language": "English", "was_translated": false, "doc_type": "curriculum", "section_title": "" }, { "text": "نظام امتحانات اللغة الإنجليزية في الجامعة\nنظرة عامة\nيستند نظام امتحانات اللغة الإنجليزية في الجامعة إلى المعايير العالمية لتقييم الكفاءة اللغوية، ويهدف إلى تحديد مستوى الطلبة بدقة وتطوير مهاراتهم الأكاديمية في اللغة الإنجليزية.\nالمصدر: دليل الطلبة الجامعي\nاللغة: العربية\nنوع المستند: معلومات أكاديمية\nالاستخدام: أنظمة الاسترجاع المعزّز بالتوليد (RAG)\nCHUNK 1: هيكلية نظام مستويات اللغة الإنجليزية\nيعتمد نظام امتحانات اللغة الإنجليزية على الإطار العالمي لتقييم اللغة، ويتكون من ثلاثة مستويات رئيسية:\nالمستوى A\nالمستوى B\nالمستوى C\nينقسم كل مستوى إلى قسمين فرعيين كما يلي:\nA1 و A2\nB1 و B2\nC1 و C2\nويتم تقسيم كل قسم إلى جزأين لزيادة الدقة في تحديد المستوى، على النحو التالي:\nA1.1 و A1.2\nA2.1 و A2.2\nB1.", "source": "english_sys.docx", "chunk_id": 1, "language": "Arabic", "was_translated": false, "doc_type": "english_system", "section_title": "" }, { "text": "قسمين فرعيين كما يلي:\nA1 و A2\nB1 و B2\nC1 و C2\nويتم تقسيم كل قسم إلى جزأين لزيادة الدقة في تحديد المستوى، على النحو التالي:\nA1.1 و A1.2\nA2.1 و A2.2\nB1.1 و B1.2\nB2.1 و B2.2\nC1.1 و C1.2\nC2.1 و C2.2\nيتماشى هذا النظام مع المعايير الدولية لتقييم الكفاءة في اللغة الإنجليزية.\nCHUNK 2: امتحان تحديد المستوى\nعند التحاق الطالب بالجامعة، يتوجب عليه التقدم لامتحان تحديد مستوى في اللغة الإنجليزية.\nأهداف الامتحان:\nتقييم مهارات الطالب اللغوية.\nتحديد المستوى المناسب له ضمن النظام المعتمد.\nنتيجة الامتحان:\nيتم تحديد المستوى الأول للطالب بناءً على أدائه.\nمثال: قد يتم تحديد مستوى الطالب عند B1.1.\nCHUNK 3: آلية تسجيل مواد اللغة الإنجليزية", "source": "english_sys.docx", "chunk_id": 2, "language": "Arabic", "was_translated": false, "doc_type": "english_system", "section_title": "" }, { "text": ".\nنتيجة الامتحان:\nيتم تحديد المستوى الأول للطالب بناءً على أدائه.\nمثال: قد يتم تحديد مستوى الطالب عند B1.1.\nCHUNK 3: آلية تسجيل مواد اللغة الإنجليزية\nيجب على الطالب تسجيل ثلاثة مستويات متتالية بناءً على نتيجة امتحان تحديد المستوى.\nقاعدة التسجيل:\nتسجيل المستوى الذي حصل عليه الطالب.\nتسجيل المستويين اللذين يليانه مباشرة.\nمثال توضيحي:\nإذا حصل الطالب على المستوى B1.1، فإنه يسجل ما يلي:\nالفصل الأول: B1.1\nالفصل الثاني: B1.2\nالفصل الصيفي: B2.1\nيعد تسجيل هذه المستويات إلزاميًا وفقًا لتعليمات الجامعة.\nCHUNK 4: الامتحان النهائي للغة الإنجليزية\nبعد إكمال المستويات الثلاثة المقررة، يتوجب على الطالب التقدم لامتحان نهائي في اللغة الإنجليزية.\nشروط النجاح:", "source": "english_sys.docx", "chunk_id": 3, "language": "Arabic", "was_translated": false, "doc_type": "english_system", "section_title": "" }, { "text": "HUNK 4: الامتحان النهائي للغة الإنجليزية\nبعد إكمال المستويات الثلاثة المقررة، يتوجب على الطالب التقدم لامتحان نهائي في اللغة الإنجليزية.\nشروط النجاح:\nيجب أن تكون نتيجة الطالب في الامتحان النهائي أعلى من نتيجته في امتحان تحديد المستوى.\nفي حال عدم تحقيق الشرط:\nيتوجب على الطالب إعادة الامتحان حتى تحقيق النتيجة المطلوبة واجتيازه بنجاح.\nCHUNK 5: ملخص النظام\nيعتمد النظام على معايير عالمية لتقييم اللغة الإنجليزية.\nيتكون من المستويات A وB وC، ويتفرع كل منها إلى مستويات فرعية دقيقة.\nيبدأ الطالب بامتحان تحديد مستوى عند التحاقه بالجامعة.\nيلتزم الطالب بدراسة ثلاثة مستويات متتالية.\nيُشترط اجتياز امتحان نهائي بنتيجة أعلى من نتيجة امتحان تحديد المستوى.", "source": "english_sys.docx", "chunk_id": 4, "language": "Arabic", "was_translated": false, "doc_type": "english_system", "section_title": "" }, { "text": "حان تحديد مستوى عند التحاقه بالجامعة.\nيلتزم الطالب بدراسة ثلاثة مستويات متتالية.\nيُشترط اجتياز امتحان نهائي بنتيجة أعلى من نتيجة امتحان تحديد المستوى.", "source": "english_sys.docx", "chunk_id": 5, "language": "Arabic", "was_translated": false, "doc_type": "english_system", "section_title": "" }, { "text": "Faculty Members of the Faculty of Information Technology University of Jordan\nThe 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, "doc_type": "faculty_info", "section_title": "" }, { "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, "doc_type": "faculty_info", "section_title": "" }, { "text": "rs 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": 3, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "" }, { "text": "Department of Artificial Intelligence (AI)\nThe Department of Artificial Intelligence (AI) at the University 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, "doc_type": "faculty_info", "section_title": "Department of Artificial Intelligence (AI)" }, { "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.\nDr. 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. Nadim Obeid also serves in the AI department and is reachable via obein@ju.edu.jo.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 5, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Artificial Intelligence (AI)" }, { "text": "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.\nProf. 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.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 6, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Artificial Intelligence (AI)" }, { "text": "Omar Al-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.\nProf. 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. Ali Abdullah Al-Rawdan is also affiliated with the AI department, with contact available at a.rodan@ju.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 7, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Artificial Intelligence (AI)" }, { "text": "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.edu.jo.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 8, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Artificial Intelligence (AI)" }, { "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": 9, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Artificial Intelligence (AI)" }, { "text": "Department of Business Information Technology (BIT)\nThe 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. 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.\nProf. Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 10, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Business Information Technology (BIT)" }, { "text": "He can be contacted at r.alsayyed@ju.edu.jo for both academic and administrative matters.\nProf. Dr. Hamed Saqr Al-Bdour is a 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.\nDr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 11, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Business Information Technology (BIT)" }, { "text": "ris also serves as a full professor in BIT, with his email address being Hossam.faris@ju.edu.jo.\nDr. 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. Yazan Yassin Al-Shamaileh is another member of the BIT academic staff and can be reached at y.shamaileh@ju.edu.jo.\nDr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 12, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Business Information Technology (BIT)" }, { "text": "amaileh is another member of the BIT academic staff and can be reached at y.shamaileh@ju.edu.jo.\nDr. 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. 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.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 13, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Business Information Technology (BIT)" }, { "text": "ryam 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.\nDr. 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": 14, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Business Information Technology (BIT)" }, { "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": 15, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Business Information Technology (BIT)" }, { "text": "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": 16, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Business Information Technology (BIT)" }, { "text": "Department of Computer Information Systems (CIS)\nThe 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. Rana Yousef, who holds the position of department chair and can be contacted at rana.yousef@ju.edu.jo. Additionally, Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 17, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Computer Information Systems (CIS)" }, { "text": "ds 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.\nDr. 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": 18, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Computer Information Systems (CIS)" }, { "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.\nProf. 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.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 19, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Computer Information Systems (CIS)" }, { "text": "omputer 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. 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.\nDr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 20, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Computer Information Systems (CIS)" }, { "text": "mmad Abdul Rahman Abu Shariah is another department member, reachable at m.abushariah@ju.edu.jo.\nDr. 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. Salsabeel Fayez Al-Falah is a CIS faculty member who can be reached at s.alfalah@ju.edu.jo. Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 21, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Computer Information Systems (CIS)" }, { "text": "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.\nDr. 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.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 22, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Computer Information Systems (CIS)" }, { "text": "hatib 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. Instructor Rula Al-Khalid also serves in the CIS department and is reachable at r.khalid@ju.edu.jo.\nInstructor 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": 23, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Computer Information Systems (CIS)" }, { "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. Instructor Walaa Qutaichat is also affiliated with the CIS department and can be reached at walaa_qutechate@yahoo.com.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 24, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Computer Information Systems (CIS)" }, { "text": "utaichat 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": 25, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Computer Information Systems (CIS)" }, { "text": "tor 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": 26, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Computer Information Systems (CIS)" }, { "text": "Department of Computer Science (CS)\nThe 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. 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": 27, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Computer Science (CS)" }, { "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.\nProf. 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.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 28, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Computer Science (CS)" }, { "text": "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. 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.\nProf. Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 29, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Computer Science (CS)" }, { "text": "l-Sharaiah also holds a full professorship in CS and can be reached at ssharaeh@ju.edu.jo.\nProf. 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. Emad Salah is a full professor in the same department with the email isalah@ju.edu.jo. Prof. Dr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 30, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Computer Science (CS)" }, { "text": "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.\nProf. 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": 31, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Computer Science (CS)" }, { "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.\nDr. 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.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 32, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Computer Science (CS)" }, { "text": "ment 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. 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.\nDr.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 33, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Computer Science (CS)" }, { "text": "du.jo. Dr. Heba Saadeh is an additional CS faculty member, contactable at heba.saadeh@ju.edu.jo.\nDr. 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.Abualganam@ju.edu.jo. Dr. Ahmad Al-Huwaiyt is a faculty member in CS whose contact email is a.hwaitat@ju.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 34, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Computer Science (CS)" }, { "text": "ganam@ju.edu.jo. Dr. Ahmad Al-Huwaiyt is a faculty member in CS whose contact email is a.hwaitat@ju.edu.jo.\nInstructor 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. 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.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 35, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Computer Science (CS)" }, { "text": "abil 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.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": 36, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Computer Science (CS)" }, { "text": "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": 37, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Department of Computer Science (CS)" }, { "text": "Summary Overview of Faculty Distribution\nThe 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. 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": 38, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Summary Overview of Faculty Distribution" }, { "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. Mohammad Salem Al-Atoum as chair and Prof. Dr. Basel Mahafza as the overarching Dean of the Faculty of Information Technology.", "source": "Faculty_IT_University_of_Jordan_RAG.docx", "chunk_id": 39, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Summary Overview of Faculty Distribution" }, { "text": "chair and Prof. Dr. Basel Mahafza as the overarching Dean of the Faculty of Information Technology.\nAll official faculty 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": 40, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Summary Overview of Faculty Distribution" }, { "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). 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": 41, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Summary Overview of Faculty Distribution" }, { "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": 42, "language": "English", "was_translated": false, "doc_type": "faculty_info", "section_title": "Summary Overview of Faculty Distribution" }, { "text": "King Abdullah II School for Information Technology (KASIT) Knowledge Base", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 1, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "King Abdullah II School for Information Technology (KASIT) – Knowledge Base" }, { "text": "A. Overview of KASIT\nKing 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. 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, "doc_type": "knowledge_base", "section_title": "A. Overview of KASIT" }, { "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.\nKASIT 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, "doc_type": "knowledge_base", "section_title": "A. Overview of KASIT" }, { "text": "Jordan.\nKASIT 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. 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": 4, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "A. Overview of KASIT" }, { "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.\nThe 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": 5, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "A. Overview of KASIT" }, { "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. 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.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 6, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "A. Overview of KASIT" }, { "text": "i are succeeding in the workforce and that the school's programs remain relevant to employer needs.\nKASIT has adopted 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": 7, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "A. Overview of KASIT" }, { "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": 8, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "A. Overview of KASIT" }, { "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.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 9, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "A. Overview of KASIT" }, { "text": "ms, providing training, and advancing e-learning capabilities across the wider University of Jordan.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 10, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "A. Overview of KASIT" }, { "text": "B. Departments\nThe 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": 11, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "B. Departments" }, { "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. The department places a high priority on quality research and effective teaching, with faculty members publishing regularly in internationally refereed and indexed journals.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 12, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "B. Departments" }, { "text": "aching, with faculty members publishing regularly in internationally refereed and indexed journals.\nThe 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": 13, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "B. Departments" }, { "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": 14, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "B. Departments" }, { "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": 15, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "B. Departments" }, { "text": "of driving sustainable development through impactful problem-solving and technological leadership.\nThe 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. 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": 16, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "B. Departments" }, { "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": 17, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "B. Departments" }, { "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.\nThe Department of Business Information Technology (BIT) at KASIT was established in the academic year 2003 2004.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 18, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "B. Departments" }, { "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": 19, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "B. Departments" }, { "text": "information technology and systems within the context of modern, technology-enabled business firms. 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": 20, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "B. Departments" }, { "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.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 21, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "B. Departments" }, { "text": "ts graduates well-suited for roles that sit at the intersection of technology and business strategy.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 22, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "B. Departments" }, { "text": "C. Academic Programs\nKASIT offers a range of undergraduate programs that 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": 23, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "C. Academic Programs" }, { "text": "eral High School Exam (known as Tawjihi), or an equivalent examination for students educated abroad. 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": 24, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "C. Academic Programs" }, { "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": 25, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "C. Academic Programs" }, { "text": "the same classes, take the same examinations, and receive the same certifications upon graduation.\nThe 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": 26, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "C. Academic Programs" }, { "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": 27, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "C. Academic Programs" }, { "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": 28, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "C. Academic Programs" }, { "text": "in professional practice, and to be committed to lifelong learning in a field that evolves quickly.\nThe 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. 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": 29, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "C. Academic Programs" }, { "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": 30, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "C. Academic Programs" }, { "text": "ents, system analysis, and technology management in both public institutions and private companies.\nThe 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": 31, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "C. Academic Programs" }, { "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": 32, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "C. Academic Programs" }, { "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.\nAt 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": 33, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "C. Academic Programs" }, { "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. 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": 34, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "C. Academic Programs" }, { "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": 35, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "C. Academic Programs" }, { "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": 36, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "C. Academic Programs" }, { "text": "extensively supervised master's theses and published widely in prestigious international journals.\nThe 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": 37, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "C. Academic Programs" }, { "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": 38, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "C. Academic Programs" }, { "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.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 39, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "C. Academic Programs" }, { "text": "kes the University of Jordan a credible and capable host for doctoral education in computer science.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 40, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "C. Academic Programs" }, { "text": "D. Faculty Facilities\nKASIT 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. 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.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 41, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "D. Faculty Facilities" }, { "text": "spaces for different departments, lecture halls, computer laboratories, and administrative offices. The University of Jordan's main campus, spanning approximately 1,200 dunums (about 0.46 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": 42, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "D. Faculty Facilities" }, { "text": "es including libraries, sports complexes, student clinics, cafeterias, and transportation services.\nKASIT maintains specialized computer 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": 43, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "D. Faculty Facilities" }, { "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": 44, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "D. Faculty Facilities" }, { "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": 45, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "D. Faculty Facilities" }, { "text": "s such as artificial intelligence, machine learning, network security, and biomedical applications.\nBeyond 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. This is particularly important for postgraduate students and faculty conducting research.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 46, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "D. Faculty Facilities" }, { "text": "echnology. 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. 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": 47, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "D. Faculty Facilities" }, { "text": "f KASIT's teaching infrastructure by integrating digital platforms into the educational experience.\nKASIT 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": 48, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "D. Faculty Facilities" }, { "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": 49, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "D. Faculty Facilities" }, { "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.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 50, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "D. Faculty Facilities" }, { "text": "o industry-standard cloud training environments that supplement the school's physical lab resources.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 51, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "D. Faculty Facilities" }, { "text": "E. Achievements\nOne 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": 52, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "E. Achievements" }, { "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": 53, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "E. Achievements" }, { "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": 54, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "E. Achievements" }, { "text": "mputer Science and Information Systems is a landmark achievement for a public university in Jordan.\nKASIT 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. 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": 55, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "E. Achievements" }, { "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.\nIn competitive programming, KASIT and the University of Jordan have a strong record of success in the Jordanian Collegiate Programming Contest (JCPC).", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 56, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "E. Achievements" }, { "text": "ty 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. 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": 57, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "E. Achievements" }, { "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.\nKASIT 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": 58, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "E. Achievements" }, { "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. 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": 59, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "E. Achievements" }, { "text": "T's focus on integrating contemporary AI topics into its academic programs and research priorities.\nKASIT 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": 60, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "E. Achievements" }, { "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": 61, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "E. Achievements" }, { "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.\nKASIT 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": 62, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "E. Achievements" }, { "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": 63, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "E. Achievements" }, { "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": 64, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "E. Achievements" }, { "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.\nThe 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": 65, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "E. Achievements" }, { "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. 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": 66, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "E. Achievements" }, { "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.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 67, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "E. Achievements" }, { "text": "hool's academic programs are accredited within an internationally recognized and ranked institution.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 68, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "E. Achievements" }, { "text": "F. E-Learning Office\nKASIT 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. 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": 69, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "F. E-Learning Office" }, { "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.\nThe 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": 70, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "F. E-Learning Office" }, { "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": 71, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "F. E-Learning Office" }, { "text": "sources through online platforms, giving them greater flexibility in managing their study schedules. 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": 72, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "F. E-Learning Office" }, { "text": "ncorporating modern instructional methods that reflect current trends in higher education globally.\nKASIT'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": 73, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "F. E-Learning Office" }, { "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. 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.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 74, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "F. E-Learning Office" }, { "text": "hat are functional, regularly updated, and aligned with the academic requirements of their programs.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 75, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "F. E-Learning Office" }, { "text": "G. Student and Academic Life\nStudents at KASIT benefit from access to the 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": 76, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "G. Student and Academic Life" }, { "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. 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": 77, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "G. Student and Academic Life" }, { "text": "lly diverse campus environment that enriches the academic and social experience for KASIT students.\nKASIT 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": 78, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "G. Student and Academic Life" }, { "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. 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": 79, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "G. Student and Academic Life" }, { "text": "ing and its commitment to preparing students for high-performance roles in the technology industry.\nThrough 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": 80, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "G. Student and Academic Life" }, { "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": 81, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "G. Student and Academic Life" }, { "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.\nAdmission 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": 82, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "G. Student and Academic Life" }, { "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. 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": 83, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "G. Student and Academic Life" }, { "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.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 84, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "G. Student and Academic Life" }, { "text": "all KASIT students receive a consistent standard of education regardless of their admission pathway.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 85, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "G. Student and Academic Life" }, { "text": "H. Additional Information\nKASIT'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": 86, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "H. Additional Information" }, { "text": "y of Jordan and are explicitly aligned with the United Nations Sustainable Development Goals (SDGs). 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": 87, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "H. Additional Information" }, { "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.\nCybersecurity is one of the prominent research and teaching themes at KASIT.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 88, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "H. Additional Information" }, { "text": "real-world challenges.\nCybersecurity 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": 89, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "H. Additional Information" }, { "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": 90, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "H. Additional Information" }, { "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.\nArtificial Intelligence and Intelligent Systems represent a growing focus area within KASIT's research and academic programs.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 91, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "H. Additional Information" }, { "text": "nd 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. 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": 92, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "H. Additional Information" }, { "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.\nThe 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": 93, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "H. Additional Information" }, { "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": 94, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "H. Additional Information" }, { "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. 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": 95, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "H. Additional Information" }, { "text": "within a framework of accountability and quality assurance at both the school and university level.\nKASIT 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. 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": 96, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "H. Additional Information" }, { "text": "gram in information technology must remain practically relevant in order to serve its students well. 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": 97, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "H. Additional Information" }, { "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.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 98, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "H. Additional Information" }, { "text": "position itself as one of the leading information technology schools in Jordan and the Arab region.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 99, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "H. Additional Information" }, { "text": "I. Academic Staff\nKASIT at the University of Jordan 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": 100, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "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. All KASIT faculty members are reachable through the University of Jordan's academic staff directory at computer.ju.edu.jo.\nProf.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 101, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "text": "e reachable through the University of Jordan's academic staff directory at computer.ju.edu.jo.\nProf. 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": 102, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "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. His academic work is in computer science, and he is affiliated with the Department of Computer Science at KASIT.\nProf.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 103, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "text": "is in computer science, and he is affiliated with the Department of Computer Science at KASIT.\nProf. Fawaz Al-Zaghoul is a Full Professor of Software 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": 104, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "text": "e ACM, and has published over 80 research papers in international refereed journals and conferences. 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": 105, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "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.\nProf. 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": 106, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "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. 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": 107, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "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.\nProf. 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": 108, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "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": 109, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "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. 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.\nProf. Basel A.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 110, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "text": "fice is located on the third floor of the KASIT building at the University of Jordan.\nProf. 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. 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": 111, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "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.\nProf. 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.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 112, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "text": "g 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. in Computer Science with a specialization in Software Engineering from the University of Pisa, Italy.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 113, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "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. Hudaib has been a faculty member at the University of Jordan since 2016.\nProf.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 114, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "text": "lity Assurance. Prof. Hudaib has been a faculty member at the University of Jordan since 2016.\nProf. Ahmad Sharieh is a 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": 115, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "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.\nDr. 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.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 116, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "text": "T, 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. 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": 117, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "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.\nProf. Rizik M. H. Al-Sayyed is a Professor of Computer Science in the Information Technology Department at KASIT, University of Jordan.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 118, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "text": "ofessor 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. 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.\nDr.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 119, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "text": "ohort that supports both teaching and research supervision within KASIT's postgraduate programs.\nDr. 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": 120, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "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": 121, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "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.\nDr. Sherenaz W. Al-Haj Baddar is an Associate Professor in the Department of Computer Science at KASIT, University of Jordan.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 122, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "text": "ddar 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. She has published in IEEE Transactions on Pattern Analysis and Machine Intelligence and other international journals.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 123, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "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.\nDr.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 124, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "text": "commitment to research in both applied and theoretical dimensions of computer network security.\nDr. 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": 125, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "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": 126, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "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.\nDr.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 127, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "text": "flecting the school's expansion in response to growing demand for AI-specific academic programs.\nDr. 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. 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": 128, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "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": 129, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "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.\nKASIT'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": 130, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "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": 131, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "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 others.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 132, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "text": "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. 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": 133, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "text": "and who maintain active research collaborations with institutions and researchers around the world.", "source": "KASIT_Knowledge_Base (2).docx", "chunk_id": 134, "language": "English", "was_translated": false, "doc_type": "knowledge_base", "section_title": "I. Academic Staff" }, { "text": "المكرمة الملكية السامية مكرمة العشائر\nالجهة الناشرة: وحدة تنسيق القبول الموحد الأردن\nالتصنيف: Makruma Al-Ashaer\nتاريخ النشر: 18-08-2025", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 1, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "المكرمة الملكية السامية – مكرمة العشائر" }, { "text": "القسم 1: آلية التقديم على المكرمة الملكية السامية ورسوم الطلب", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 2, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "القسم 1: آلية التقديم على المكرمة الملكية السامية ورسوم الطلب" }, { "text": "المحتوى\nيتم تقديم 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": 3, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "المحتوى" }, { "text": "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": 4, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "المحتوى" }, { "text": "البيانات الوصفية (Metadata)\nsection: General Info\nintent: application_overview\nfees: 5 JOD\npayment_method: eFAWATEERcom, إي-فواتيركم, اي فواتيركم\nkeywords: رسوم المكرمة, طريقة التقديم, الدفع, قبول موحد", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 5, "language": "Mixed", "was_translated": false, "doc_type": "scholarship", "section_title": "البيانات الوصفية (Metadata)" }, { "text": "ntent: application_overview\nfees: 5 JOD\npayment_method: eFAWATEERcom, إي-فواتيركم, اي فواتيركم\nkeywords: رسوم المكرمة, طريقة التقديم, الدفع, قبول موحد", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 6, "language": "Mixed", "was_translated": false, "doc_type": "scholarship", "section_title": "البيانات الوصفية (Metadata)" }, { "text": "الأسئلة الشائعة (Q&A)\nس: كيف يتم تقديم طلب المكرمة الملكية؟\nج: يتم التقديم إلكترونياً عبر موقع وحدة تنسيق القبول الموحد.\nس: كم رسوم المكرمة الملكية؟\nج: 5 دنانير أردنية.\nس: كيف يتم دفع رسوم المكرمة؟\nج: عن طريق خدمة إي-فواتيركم (eFAWATEERcom).", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 7, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "الأسئلة الشائعة (Q&A)" }, { "text": "وقع وحدة تنسيق القبول الموحد.\nس: كم رسوم المكرمة الملكية؟\nج: 5 دنانير أردنية.\nس: كيف يتم دفع رسوم المكرمة؟\nج: عن طريق خدمة إي-فواتيركم (eFAWATEERcom).", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 8, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "الأسئلة الشائعة (Q&A)" }, { "text": "القسم 2: شروط الأهلية للمكرمة الملكية السامية 2025 في الأردن", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 9, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "القسم 2: شروط الأهلية للمكرمة الملكية السامية 2025 في الأردن" }, { "text": "المحتوى\nللاستفادة 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": 10, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "المحتوى" }, { "text": "دماً 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": 11, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "المحتوى" }, { "text": "البيانات الوصفية (Metadata)\nsection: Eligibility\nintent: eligibility_check\nmin_grade: 65%\nyear: 2025\nkeywords: شروط المكرمة, معدل القبول, الثانوية العامة, الأهلية", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 12, "language": "Mixed", "was_translated": false, "doc_type": "scholarship", "section_title": "البيانات الوصفية (Metadata)" }, { "text": "صفية (Metadata)\nsection: Eligibility\nintent: eligibility_check\nmin_grade: 65%\nyear: 2025\nkeywords: شروط المكرمة, معدل القبول, الثانوية العامة, الأهلية", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 13, "language": "Mixed", "was_translated": false, "doc_type": "scholarship", "section_title": "البيانات الوصفية (Metadata)" }, { "text": "الأسئلة الشائعة (Q&A)\nس: ما هي شروط الاستفادة من المكرمة الملكية؟\nج: أن يكون الطالب أردني الجنسية، متقدم للقبول الموحد، حاصل على توجيهي 2025 بمعدل 65% على الأقل.\nس: هل يمكن لطلاب السنوات السابقة التقديم؟\nج: لا، فقط طلاب 2025.", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 14, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "الأسئلة الشائعة (Q&A)" }, { "text": "ن الطالب أردني الجنسية، متقدم للقبول الموحد، حاصل على توجيهي 2025 بمعدل 65% على الأقل.\nس: هل يمكن لطلاب السنوات السابقة التقديم؟\nج: لا، فقط طلاب 2025.", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 15, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "الأسئلة الشائعة (Q&A)" }, { "text": "القسم 3: شروط الدراسة في المدارس المشمولة أو الرافدة للمكرمة", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 16, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "القسم 3: شروط الدراسة في المدارس المشمولة أو الرافدة للمكرمة" }, { "text": "المحتوى\nيشترط 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": 17, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "المحتوى" }, { "text": "ن 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": 18, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "المحتوى" }, { "text": "البيانات الوصفية (Metadata)\nsection: Schooling History\nintent: eligibility_check\nkeywords: مدارس مشمولة, مدارس رافدة, سنوات الدراسة", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 19, "language": "Mixed", "was_translated": false, "doc_type": "scholarship", "section_title": "البيانات الوصفية (Metadata)" }, { "text": "الأسئلة الشائعة (Q&A)\nس: كم سنة يجب أن أدرس في مدرسة مشمولة؟\nج: سنتين دراسيتين أخيرتين.\nس: ماذا عن المدارس الرافدة؟\nج: يجب الدراسة فيها 7 سنوات على الأقل.", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 20, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "الأسئلة الشائعة (Q&A)" }, { "text": "ئلة الشائعة (Q&A)\nس: كم سنة يجب أن أدرس في مدرسة مشمولة؟\nج: سنتين دراسيتين أخيرتين.\nس: ماذا عن المدارس الرافدة؟\nج: يجب الدراسة فيها 7 سنوات على الأقل.", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 21, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "الأسئلة الشائعة (Q&A)" }, { "text": "المحتوى\nلا يستفيد من المكرمة خريجو المدارس الخاصة، ولا طلبة الدراسة الخاصة (غير المنتظمين).", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 22, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "المحتوى" }, { "text": "البيانات الوصفية (Metadata)\nsection: Eligibility Constraints\nintent: eligibility_check\nkeywords: استثناءات, مدارس خاصة, دراسة خاصة", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 23, "language": "Mixed", "was_translated": false, "doc_type": "scholarship", "section_title": "البيانات الوصفية (Metadata)" }, { "text": "ction: Eligibility Constraints\nintent: eligibility_check\nkeywords: استثناءات, مدارس خاصة, دراسة خاصة", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 24, "language": "Mixed", "was_translated": false, "doc_type": "scholarship", "section_title": "البيانات الوصفية (Metadata)" }, { "text": "الأسئلة الشائعة (Q&A)\nس: هل طلاب المدارس الخاصة مشمولين؟\nج: لا، غير مشمولين.\nس: هل الدراسة الخاصة مشمولة؟\nج: لا، غير مشمولة.", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 25, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "الأسئلة الشائعة (Q&A)" }, { "text": "المحتوى\nفي 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": 26, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "المحتوى" }, { "text": "كمل 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": 27, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "المحتوى" }, { "text": "البيانات الوصفية (Metadata)\nsection: Documentation\nintent: document_requirements\nkeywords: وثائق, نقل, مدارس رافدة, موظف حكومي", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 28, "language": "Mixed", "was_translated": false, "doc_type": "scholarship", "section_title": "البيانات الوصفية (Metadata)" }, { "text": "الأسئلة الشائعة (Q&A)\nس: ما الوثائق المطلوبة إذا انتقلت بسبب عمل ولي الأمر؟\nج: شهادة من جهة العمل توضح سبب وتاريخ النقل.\nس: ما المطلوب لطلاب المدارس الرافدة؟\nج: شهادة مصدقة تثبت الدراسة وسبب النقل.", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 29, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "الأسئلة الشائعة (Q&A)" }, { "text": "ا انتقلت بسبب عمل ولي الأمر؟\nج: شهادة من جهة العمل توضح سبب وتاريخ النقل.\nس: ما المطلوب لطلاب المدارس الرافدة؟\nج: شهادة مصدقة تثبت الدراسة وسبب النقل.", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 30, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "الأسئلة الشائعة (Q&A)" }, { "text": "المحتوى\nيتم 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": 31, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "المحتوى" }, { "text": "حتوى\nيتم 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": 32, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "المحتوى" }, { "text": "البيانات الوصفية (Metadata)\nsection: Application Steps\nintent: application_steps\nkeywords: تسجيل الدخول, رقم وطني, كلمة المرور", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 33, "language": "Mixed", "was_translated": false, "doc_type": "scholarship", "section_title": "البيانات الوصفية (Metadata)" }, { "text": "المحتوى\nإذا 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": 34, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "المحتوى" }, { "text": "البيانات الوصفية (Metadata)\nsection: Application Steps\nintent: application_steps", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 35, "language": "Mixed", "was_translated": false, "doc_type": "scholarship", "section_title": "البيانات الوصفية (Metadata)" }, { "text": "المحتوى\nإذا 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": 36, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "المحتوى" }, { "text": "البيانات الوصفية (Metadata)\nsection: Application Steps\nintent: application_steps", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 37, "language": "Mixed", "was_translated": false, "doc_type": "scholarship", "section_title": "البيانات الوصفية (Metadata)" }, { "text": "المحتوى\nبعد 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": 38, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "المحتوى" }, { "text": "البيانات الوصفية (Metadata)\nsection: Payment\nintent: payment\nkeywords: دفع, رقم الدفع, طلب غير مكتمل", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 39, "language": "Mixed", "was_translated": false, "doc_type": "scholarship", "section_title": "البيانات الوصفية (Metadata)" }, { "text": "الأسئلة الشائعة (Q&A)\nس: متى يعتبر طلب المكرمة غير مكتمل؟\nج: إذا لم يتم دفع الرسوم عبر إي-فواتيركم.", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 40, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "الأسئلة الشائعة (Q&A)" }, { "text": "المحتوى\nيمكن معرفة المدارس المشمولة بالمكرمة الملكية السامية حسب المحافظة من خلال موقع وحدة تنسيق القبول الموحد.", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 41, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "المحتوى" }, { "text": "البيانات الوصفية (Metadata)\nsection: Resources\nintent: information_lookup\nlink: https://admhec.gov.jo/RulesRoyalitySchools.aspx", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 42, "language": "Mixed", "was_translated": false, "doc_type": "scholarship", "section_title": "البيانات الوصفية (Metadata)" }, { "text": "section: Resources\nintent: information_lookup\nlink: https://admhec.gov.jo/RulesRoyalitySchools.aspx", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 43, "language": "English", "was_translated": false, "doc_type": "scholarship", "section_title": "البيانات الوصفية (Metadata)" }, { "text": "المحتوى\nيمكن تقديم طلب الاستفادة من المكرمة الملكية السامية عبر الرابط الرسمي لوحدة تنسيق القبول الموحد.", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 44, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "المحتوى" }, { "text": "البيانات الوصفية (Metadata)\nsection: Application Link\nintent: application_link\nlink: https://admhec.gov.jo/AKLApp2025-2025/", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 45, "language": "Mixed", "was_translated": false, "doc_type": "scholarship", "section_title": "البيانات الوصفية (Metadata)" }, { "text": "ata)\nsection: Application Link\nintent: application_link\nlink: https://admhec.gov.jo/AKLApp2025-2025/", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 46, "language": "English", "was_translated": false, "doc_type": "scholarship", "section_title": "البيانات الوصفية (Metadata)" }, { "text": "الأسئلة الشائعة (Q&A)\nس: ما هو رابط تقديم طلب المكرمة؟\nج: https://admhec.gov.jo/AKLApp2025-2025/", "source": "Makruma_Al_Ashaer_Knowledge_Base.docx", "chunk_id": 47, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "الأسئلة الشائعة (Q&A)" }, { "text": "F. Examination Schedule for March and Early April 2026\nWednesday, March 11, 2026\nThe examination schedule commences with a dedicated reservation for the Faculty of Medicine. Coordinated internally by the Faculty of Medicine, this administrative session does not list a specific course code or student count. The reservation is scheduled from 11:10 AM to 2:20 PM and will occupy Technology Labs 202, 206, and 207.\nThursday, March 12, 2026", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 1, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "rom 11:10 AM to 2:20 PM and will occupy Technology Labs 202, 206, and 207.\nThursday, March 12, 2026\nA subsequent general reservation for the Faculty of Medicine will take place, once again managed internally by the faculty. This session is scheduled to run from 12:00 PM to 2:30 PM and will be hosted in Technology Labs 201, 202, and 206.\nWednesday, March 25, 2026\nThe examination for Advanced Java Programming - Practical Eclipse (Course Code: 1902214) will be overseen by Dr.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 2, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "ion for Advanced Java Programming - Practical Eclipse (Course Code: 1902214) will be overseen by Dr. Israa Al-Zghoul, accommodating a total of 66 students. This assessment is scheduled to occur from 11:30 AM to 12:30 PM and will be conducted across Technology Labs 205, 206, and 207.\nWednesday, April 1, 2026\nThe day begins with a massive session for Modern Digital Skills (Course Code: 0309103), coordinated by Eng. Lama Rajab for an exceptionally large cohort of 3,628 students.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 3, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "Code: 0309103), coordinated by Eng. Lama Rajab for an exceptionally large cohort of 3,628 students. This comprehensive examination will run from 9:00 AM to 1:00 PM and will be hosted across numerous facilities, specifically Rehabilitation 1, Rehabilitation ST, the Scientific facilities, and Engineering 2.\nLater that afternoon, the Computer Architecture and Assembly Language - Short examination (Course Code: 1911231) will be directed by Prof. Saleh Al-Sharaieh for a cohort of 102 students.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 4, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "ion (Course Code: 1911231) will be directed by Prof. Saleh Al-Sharaieh for a cohort of 102 students. This session will take place from 12:30 PM to 1:00 PM, utilizing Technology Labs 206, 207, and 301.\nImmediately following this, the Computer Graphics - Short examination (Course Code: 1901359) will be managed by Prof. Hazem Al-Hiyari for 81 students. This exam is scheduled from 1:00 PM to 1:30 PM and will be hosted in Technology Labs 101, 102, and 205.\nThursday, April 2, 2026", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 5, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "1:00 PM to 1:30 PM and will be hosted in Technology Labs 101, 102, and 205.\nThursday, April 2, 2026\nThe Theory of Algorithms - Short examination (Course Code: 1901341) will be overseen by Prof. Azzam Sleit, catering to a large group of 330 students. This session is scheduled from 3:30 PM to 4:00 PM and will span an extensive array of venues: Technology Labs 002, 102, 201, 202, 205, 206, 207, 301, 302, and the specially highlighted Technology Lab 104.\nMonday, April 6, 2026", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 6, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "2, 205, 206, 207, 301, 302, and the specially highlighted Technology Lab 104.\nMonday, April 6, 2026\nThe examination for Social Media - First (Course Code: 0309101) will be administered by Prof. Ruzaiq Al-Sayyed for a large cohort of 600 students. This session will occur from 10:00 AM to 11:00 AM and will occupy a wide selection of facilities, including halls ST.A, ST.B, ST.C, ST.D, ST.E, ST.F, ST.G, and ST.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 7, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "py a wide selection of facilities, including halls ST.A, ST.B, ST.C, ST.D, ST.E, ST.F, ST.G, and ST.H, as well as the Faculty of Rehabilitation Sciences 1, the Engineering Lab, the Faculty of Rehabilitation Sciences 2, and the Scientific building.\nTuesday, April 7, 2026\nThe Computer Networks examination (Course Code: 1901363) will be directed by Prof. Saleh Al-Sharaieh for 291 students.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 8, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "rks examination (Course Code: 1901363) will be directed by Prof. Saleh Al-Sharaieh for 291 students. This assessment is scheduled from 2:00 PM to 3:00 PM and will be located across the Faculty of Rehabilitation Sciences 2, the Agriculture Lab, the Arts Lab, the Engineering Lab, and the Faculty of Rehabilitation Sciences 1.\nThursday, April 9, 2026\nThe afternoon sessions commence with the Discrete Mathematics examination (Course Code: 1901101), managed by Eng. Lubna Nasser El-Din for 194 students.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 9, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "athematics examination (Course Code: 1901101), managed by Eng. Lubna Nasser El-Din for 194 students. This exam is scheduled from 2:00 PM to 3:00 PM and will be hosted in the Law Lab, Agriculture Lab, Arts Lab, and the Scientific Halls Complex.\nConcluding the day's scheduled exams, the Theory of Algorithms examination (Course Code: 1901341) will be overseen by Prof. Azzam Sleit for a group of 330 students.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 10, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "xamination (Course Code: 1901341) will be overseen by Prof. Azzam Sleit for a group of 330 students. This comprehensive examination will take place from 3:30 PM to 4:30 PM across Technology Labs 002, 102, 201, 202, 205, 206, 207, 301, 302, and 104.\nExamination Schedule for April 2026\nSaturday, April 11, 2026\nThe examination for Data Structures (Course Code: 1901242) will be overseen by Mr. Nabeel Al-Assaf, accommodating a total of 212 students.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 11, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "ourse Code: 1901242) will be overseen by Mr. Nabeel Al-Assaf, accommodating a total of 212 students. This assessment is scheduled to occur from 9:00 AM to 10:00 AM and will be conducted across multiple venues, specifically Technology Labs 101, 102, 103, 202, 203, 204, and 205.\nSimultaneously, the Digital Forensics examination (Course Code: 1911483) will be coordinated by Dr. Ahmad Al-Huweitat for 62 enrolled students.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 12, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "nation (Course Code: 1911483) will be coordinated by Dr. Ahmad Al-Huweitat for 62 enrolled students. This session will also take place from 9:00 AM to 10:00 AM, utilizing Technology Labs 206 and 207.\nFollowing the morning sessions, the Advanced Programming in Special Languages course (Course Code: 1901212) will be administered by Mr. Ahmad Al-Oudat for a group of 81 students. This examination is scheduled from 10:00 AM to 11:00 AM and will be hosted in Technology Labs 301, 302, and 303.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 13, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "ion is scheduled from 10:00 AM to 11:00 AM and will be hosted in Technology Labs 301, 302, and 303.\nTuesday, April 14, 2026\nThe examination period begins with Statistical Packages (Course Code: 1904255), coordinated by Dr. Bashar Al-Shboul for a smaller cohort of 15 students. The exam will run from 8:30 AM to 9:30 AM, located on Floor 1, Hall 5 of the Technology building.\nLater that morning, the Programming for Cybersecurity examination (Course Code: 1911211) will be directed by Dr.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 14, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "orning, the Programming for Cybersecurity examination (Course Code: 1911211) will be directed by Dr. Malek Al-Issa for 23 students. This assessment is scheduled from 9:30 AM to 10:30 AM and will be situated in Technology Lab 104.\nDuring the same time slot, from 9:30 AM to 10:30 AM, the Operations Research examination (Course Code: 1904341) will be overseen by Prof. Hamed Al-Bdour. This session accommodates 19 students and will be held in Technology Lab 303.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 15, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "Prof. Hamed Al-Bdour. This session accommodates 19 students and will be held in Technology Lab 303.\nConcluding the day's scheduled exams, the Numerical Analysis course (Course Code: 1901351) will be administered by Prof. Shirnaz for 73 students. This examination will occur from 10:30 AM to 11:30 AM across Technology Labs 104, 105, and 203.\nWednesday, April 15, 2026", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 16, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "occur from 10:30 AM to 11:30 AM across Technology Labs 104, 105, and 203.\nWednesday, April 15, 2026\nThe morning sessions commence with the Systems Programming and Compiler Construction examination (Course Code: 1901476), managed by Prof. Sami Serhan for 56 students. This exam is scheduled from 9:00 AM to 10:00 AM on Floor 1, Hall 3 of the Technology building.\nConcurrently, the Data Visualization examination (Course Code: 1915441) will be coordinated by Prof.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 17, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "Concurrently, the Data Visualization examination (Course Code: 1915441) will be coordinated by Prof. Omar Al-Qadi for a cohort of 32 students. Taking place from 9:00 AM to 10:00 AM, this session will be hosted in Technology Lab 304.\nAlso operating in the 9:00 AM to 10:00 AM window is the Fundamentals of Data Science examination (Course Code: 1915121). Dr. Ali Al-Rodhan will oversee 44 students across Technology Labs 001 and 002.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 18, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "urse Code: 1915121). Dr. Ali Al-Rodhan will oversee 44 students across Technology Labs 001 and 002.\nFollowing these, the Computer Architecture and Assembly Language examination (Course Code: 1911231) will be administered by Prof. Saleh Al-Sharaieh for a large group of 102 students. This session is scheduled from 11:30 AM to 12:30 PM, utilizing Technology Labs 206, 207, and 301.\nIn the afternoon, the Theory of Computation examination (Course Code: 1901241) will be directed by Dr.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 19, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "the afternoon, the Theory of Computation examination (Course Code: 1901241) will be directed by Dr. Abdullatif Abu Dalhoum for 48 students. This exam will take place from 1:00 PM to 2:00 PM in Technology Labs 302 and 303.\nSubsequently, a cluster of examinations will be held simultaneously from 2:30 PM to 3:30 PM. The Project Management examination (Course Code: 1902478) will be coordinated by Prof. Rana Yousef for 67 students, located in Technology Labs 206 and 207.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 20, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": ") will be coordinated by Prof. Rana Yousef for 67 students, located in Technology Labs 206 and 207.\nAlongside this, the Computer Ethics examination (Course Code: 1904345) will be overseen by Prof. Hamed Al-Bdour for 48 students in Technology Labs 301 and 302.\nFinally, the Special Topics examination (Course Code: 1904485) will be administered by Dr. Yousef Sanjalawi for 35 students in Technology Lab 303.\nThursday, April 16, 2026", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 21, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "dministered by Dr. Yousef Sanjalawi for 35 students in Technology Lab 303.\nThursday, April 16, 2026\nThe day begins with the Security Risk Management and Ethics examination (Course Code: 1911221), coordinated by Dr. Mohammad Al-Ma'aieh for 57 students. This session is scheduled from 10:30 AM to 11:30 AM and will be held in Technology Labs 104 and 105.\nConcurrently from 10:30 AM to 11:30 AM, the Database Technologies and Applications examination (Course Code: 1902324) will be managed by Dr.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 22, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "the Database Technologies and Applications examination (Course Code: 1902324) will be managed by Dr. Reem Al-Fayez. This exam accommodates 62 students and will be situated on Floor 2, Halls 2 and 3 of the Technology building.\nAlso within the 10:30 AM to 11:30 AM timeframe, the Mobile Programming examination (Course Code: 1904211) will be overseen by Dr. Sharif Makhadmeh for 22 students, designated to Lab 303.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 23, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "rse Code: 1904211) will be overseen by Dr. Sharif Makhadmeh for 22 students, designated to Lab 303.\nConcluding the 10:30 AM to 11:30 AM academic exam block, the Introduction to Artificial Intelligence examination (Course Code: 1905120) will be directed by Dr. Ali Al-Rodhan. This session caters to 82 students and will span across Technology Lab 001, as well as the specially highlighted Technology Labs 201 and 301.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 24, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "l span across Technology Lab 001, as well as the specially highlighted Technology Labs 201 and 301.\nFollowing the standard academic examinations, a joint Career Preparation session will be held from 11:00 AM to 12:00 PM. This shared administrative event does not list a specific course code or student count but is scheduled across numerous venues, including halls ST.A, ST.B, ST.C, ST.D, ST.E, ST.F, ST.G, and ST.H, as well as the Engineering, Scientific, and Agriculture facilities.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 25, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": ".D, ST.E, ST.F, ST.G, and ST.H, as well as the Engineering, Scientific, and Agriculture facilities.\nIn the afternoon, the Social Media - Second session examination (Course Code: 0309101) will be administered by Prof. Ruzaiq Al-Sayyed for a massive cohort of 600 students. This comprehensive examination will take place from 1:00 PM to 2:00 PM and will occupy a wide array of facilities: halls ST.A, ST.B, ST.C, ST.D, ST.E, ST.F, ST.G, and ST.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 26, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "and will occupy a wide array of facilities: halls ST.A, ST.B, ST.C, ST.D, ST.E, ST.F, ST.G, and ST.H, Arts - 3, Arts - 4, the general Arts building, the Agriculture building, the Psychology building, and the Graduate Studies facility.\nExamination Schedule Continuation (Mid-to-Late April 2026)\nThursday, April 16, 2026\nThe examination for Object-Oriented Programming (Course Code: 1902110) will be overseen by Dr. Israa Al-Zghoul, accommodating a total of 549 students.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 27, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "ourse Code: 1902110) will be overseen by Dr. Israa Al-Zghoul, accommodating a total of 549 students. This assessment is scheduled to occur from 2:00 PM to 3:00 PM and will be conducted across multiple venues, specifically halls ST.A, ST.B, ST.C, ST.D, ST.E, ST.F, ST.G, and ST.H, as well as the Arts, Dentistry, Nursing, and Agriculture Labs.\nSaturday, April 18, 2026\nThe examination period begins with Artificial Intelligence (Course Code: 1905320), coordinated by Dr.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 28, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "he examination period begins with Artificial Intelligence (Course Code: 1905320), coordinated by Dr. Deema Suleiman for a cohort of 246 students. The exam will run from 10:00 AM to 11:00 AM, located in Technology Labs 001, 002, 101, 102, 103, 202, 203, and the specially highlighted Technology Lab 105.\nSimultaneously, the Internet of Things examination (Course Code: 1905430) will be directed by Dr. Mousa Al-Akhras for 74 students.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 29, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "f Things examination (Course Code: 1905430) will be directed by Dr. Mousa Al-Akhras for 74 students. This session will also take place from 10:00 AM to 11:00 AM, utilizing Technology Labs 204 and 303.\nSunday, April 19, 2026\nThe morning sessions commence with the Digital Image Processing examination (Course Code: 1902454), managed by Dr. Huda Karajeh for 86 students. This exam is scheduled from 9:30 AM to 10:30 AM in Technology Labs 202, 301, and 303.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 30, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "86 students. This exam is scheduled from 9:30 AM to 10:30 AM in Technology Labs 202, 301, and 303.\nFollowing this, the Verification and Security Models examination (Course Code: 1911461) will be coordinated by Dr. Ghareeb Abu Al-Ghanam for a cohort of 59 students. Taking place from 10:30 AM to 11:30 AM, this session will be hosted in Technology Labs 104 and 105.\nDuring the midday slot, from 12:30 PM to 1:30 PM, two examinations are scheduled.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 31, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "Labs 104 and 105.\nDuring the midday slot, from 12:30 PM to 1:30 PM, two examinations are scheduled. The Computer Vision examination (Course Code: 1905322) will be overseen by Prof. Omar Al-Qadi for 48 students in Technology Labs 103 and 303. At the exact same time, the Ontology and Knowledge Graphs examination (Course Code: 1905321) will be administered by Dr. Marwan Al-Tawil for 29 students in Technology Lab 101.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 32, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "e Code: 1905321) will be administered by Dr. Marwan Al-Tawil for 29 students in Technology Lab 101.\nIn the afternoon, from 2:30 PM to 3:30 PM, the Document Analysis and Recognition examination (Course Code: 1904484) will be directed by Dr. Bashar Al-Shboul for 41 students, located on Floor 1, Hall 3 of the Technology building. Concurrently, the Cryptography examination (Course Code: 1911241) will be overseen by Dr. Ghareeb Abu Al-Ghanam for 56 students on Floor 1, Hall 5 of the same building.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 33, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "l be overseen by Dr. Ghareeb Abu Al-Ghanam for 56 students on Floor 1, Hall 5 of the same building.\nConcluding the day's scheduled exams, the Computer Graphics course (Course Code: 1901359) will be administered by Prof. Hazem Al-Hiyari for 81 students. This examination will occur from 3:30 PM to 4:30 PM across Technology Labs 103, 104, and 105.\nMonday, April 20, 2026\nThe day begins with two concurrent examinations from 10:00 AM to 11:00 AM.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 34, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "5.\nMonday, April 20, 2026\nThe day begins with two concurrent examinations from 10:00 AM to 11:00 AM. The Intelligent Robotics examination (Course Code: 1905431), coordinated by Dr. Mousa Al-Yameen for 36 students, will be held on Floor 1, Hall 5 of the Technology building. Meanwhile, the Parallel and Distributed Systems examination (Course Code: 1901468) will be managed by Prof. Sami Serhan for 42 students on Floor 1, Hall 3 of the Technology building.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 35, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "will be managed by Prof. Sami Serhan for 42 students on Floor 1, Hall 3 of the Technology building.\nIn the afternoon, a cluster of examinations will be held simultaneously from 1:00 PM to 2:00 PM. The Data Engineering and Analytics examination (Course Code: 1915231) will be overseen by Dr. Huthaifa Abu Hammad for 41 students, located on Floor 1, Hall 3 of the Technology building. Alongside this, the Advanced Java Programming examination (Course Code: 1902214) will be coordinated by Dr.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 36, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "de this, the Advanced Java Programming examination (Course Code: 1902214) will be coordinated by Dr. Israa Al-Zghoul for 66 students, situated on Floor 2, Halls 2 and 5 of the Technology building. Finally, the Information Technology Fundamentals examination (Course Code: 1904101) will be administered by Dr. Malak Al-Hassan for a large group of 144 students across Technology Labs 001, 002, 101, 301, and 303.\nTuesday, April 21, 2026", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 37, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "e group of 144 students across Technology Labs 001, 002, 101, 301, and 303.\nTuesday, April 21, 2026\nThe examination period begins with Security Intelligence (Course Code: 1911489), coordinated by Dr. Malek Al-Issa for a cohort of 64 students. The exam will run from 12:30 PM to 1:30 PM, located in Technology Labs 101 and 103.\nFollowing this, the Database Management Systems examination (Course Code: 1902224) will be directed by Eng. Walaa Qteishat for an extensive cohort of 232 students.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 38, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "urse Code: 1902224) will be directed by Eng. Walaa Qteishat for an extensive cohort of 232 students. This comprehensive examination will take place from 2:00 PM to 3:00 PM and will occupy a wide array of facilities, including the Nursing, Agriculture, Sharia, Law, and Dentistry Labs, alongside Halls 3 and 4 of the Faculty of Educational Sciences.\nLater that afternoon, the Computer Organization examination (Course Code: 1901322) will be overseen by Prof. Sami Serhan.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 39, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "the Computer Organization examination (Course Code: 1901322) will be overseen by Prof. Sami Serhan. This session accommodates 78 students and will be held from 2:30 PM to 3:30 PM on Floor 1, Halls 2 and 3 of the Technology building.\nWednesday, April 22, 2026\nThe morning sessions commence with the Special Topic in Digital Skills / Artificial Intelligence Applications examination (Course Code: 309104), managed by Dr. Emam Al-Serhan for a large group of 246 students.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 40, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "examination (Course Code: 309104), managed by Dr. Emam Al-Serhan for a large group of 246 students. This exam is scheduled from 10:00 AM to 11:00 AM and will be conducted across multiple venues, specifically Technology Labs 001, 002, 103, 105, 203, 206, and 302.\nExamination Schedule Continuation (Late April 2026)\nWednesday, April 22, 2026 (Continued)\nContinuing the morning sessions, the E-learning and its Applications examination (Course Code: 1904355) will be overseen by Dr.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 41, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "ions, the E-learning and its Applications examination (Course Code: 1904355) will be overseen by Dr. Dana Qutaiba for 26 students. This exam is scheduled from 10:00 AM to 11:00 AM in Technology Lab 304.\nConcurrently, the Pattern Recognition and Information Analysis examination (Course Code: 1915371) will be directed by Dr. Tammam Al-Serhan for 40 students. This session will also take place from 10:00 AM to 11:00 AM, utilizing Floor 3, Halls 2 and 3 of the Technology building.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 42, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "take place from 10:00 AM to 11:00 AM, utilizing Floor 3, Halls 2 and 3 of the Technology building.\nFollowing these, the Artificial Intelligence Programming examination (Course Code: 1915111) will be administered by Dr. Ruba Obeidat for a group of 104 students. This session is scheduled from 11:30 AM to 12:30 PM on Floor 3, Halls 2 and 3 of the Technology building.\nIn the afternoon, the Computability and Complexity Theory examination (Course Code: 1901444) will be coordinated by Dr.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 43, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "he Computability and Complexity Theory examination (Course Code: 1901444) will be coordinated by Dr. Basma Al-Shqirat for 43 students. This exam will run from 1:00 PM to 2:00 PM on Floor 1, Halls 2 of the Technology building.\nDuring this same 1:00 PM to 2:00 PM timeframe, a specialized administrative reservation for the Faculty of Agriculture is noted to take place on Floor 2, Hall 5 of the Technology building.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 44, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "or the Faculty of Agriculture is noted to take place on Floor 2, Hall 5 of the Technology building.\nSimultaneously, the Introduction to Programming examination (Course Code: 1941102) will be managed by Eng. zaina Al-Qubat for a massive cohort of 247 students. This comprehensive session, also running from 1:00 PM to 2:00 PM, will span across Technology Labs 001, 002, 101 202, 206, 302, and 303.\nConcluding the day, two exams will be held concurrently from 2:30 PM to 3:30 PM.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 45, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "206, 302, and 303.\nConcluding the day, two exams will be held concurrently from 2:30 PM to 3:30 PM. The Cyber Physical Systems Security (CPSS) examination (Course Code: 1911431) will be directed by Dr. Mohammad Al-Ma'aieh for 33 students in Technology Lab 104. Alongside it, the Total Quality Management examination (Course Code: 1904481) will be overseen by Dr. Yazan Al-Shamaileh for 22 students in Technology Lab 302.\nThursday, April 23, 2026", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 46, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "overseen by Dr. Yazan Al-Shamaileh for 22 students in Technology Lab 302.\nThursday, April 23, 2026\nThe day begins with a major session for Computer Fundamentals (Course Code: 0309099), coordinated by Eng. Hiba Khadraoui for an exceptionally large cohort of 1,922 students. This extended examination will run from 9:00 AM to 1:00 PM and will be hosted in the Center Labs.\nFollowing this, the Modeling and Simulation examination (Course Code: 1901353) will be administered by Prof.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 47, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "g this, the Modeling and Simulation examination (Course Code: 1901353) will be administered by Prof. Shirnaz Al-Haj Baddar for 64 students. This session is scheduled from 12:30 PM to 1:30 PM in Technology Labs 103 and 301.\nIn the afternoon, a large cluster of examinations will be held simultaneously from 1:30 PM to 2:30 PM. The Advanced Topics in Databases examination (Course Code: 1902323) will be overseen by Prof. Bassam Hammo for 41 students in Technology Lab 206.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 48, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "(Course Code: 1902323) will be overseen by Prof. Bassam Hammo for 41 students in Technology Lab 206. Concurrently, the Multimedia examination (Course Code: 1902351) will be managed by Dr. Nihaya Al-Khateeb for 46 students in Technology Lab 104. An overflow session to accommodate the remainder of the students from both the Advanced Topics in Databases and Multimedia exams will be facilitated during this same hour in Technology Lab 102.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 49, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "in Databases and Multimedia exams will be facilitated during this same hour in Technology Lab 102.\nAlso within the 1:30 PM to 2:30 PM window, the Knowledge Management Systems examination (Course Code: 1904323) will be directed by Dr. Malak Al-Hassan for 27 students in Technology Lab 101. The Enterprise Resource Planning Systems examination (Course Code: 1904351) will be coordinated by Dr. Dana al-qdah for 34 students on Floor 3, Hall 3 of the Technology building.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 50, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "ll be coordinated by Dr. Dana al-qdah for 34 students on Floor 3, Hall 3 of the Technology building. The Business Simulation examination (Course Code: 1904442) will be overseen by Dr. Yousef Sanjalawi for 40 students on Floor 2, Hall 2 of the Technology building, sharing the venue with the Knowledge Representation and Reasoning examination (Course Code: 1905221), which is managed by Dr. Huthaifa Abu Hammad for 35 students is in Floor 3,HAll 2.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 51, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "se Code: 1905221), which is managed by Dr. Huthaifa Abu Hammad for 35 students is in Floor 3,HAll 2. Furthermore, the Big Data examination (Course Code: 1915431) will be administered by Dr. Mohammad Al-Sharaieh for 45 students across Technology Labs 201 and 302. Finally, the Reverse Engineering and Malware Analysis examination (Course Code: 1911481) will be directed by Dr. Mazen Al-Wadi for 37 students in Technology Lab 105.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 52, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "(Course Code: 1911481) will be directed by Dr. Mazen Al-Wadi for 37 students in Technology Lab 105.\nConcluding the day's scheduled exams, the Special Topic in Digital Skills / Problem Solving in Python examination (Course Code: 309104) will be managed by Dr. Nihaya Al-Khateeb. This session caters to 240 students and will occur from 2:30 PM to 3:30 PM across Technology Labs 002, 102, 201, 203, 206, 302, and 303.\nSaturday, April 25, 2026", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 53, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "M to 3:30 PM across Technology Labs 002, 102, 201, 203, 206, 302, and 303.\nSaturday, April 25, 2026\nThe examination schedule resumes with Information Security and Privacy (Course Code: 1911322), coordinated by Dr. Ahmad Huweitat for a large cohort of 271 students. The exam will run from 9:00 AM to 10:00 AM, located across Technology Labs 102, 103, 104, 202, 203, 204, 206, and the specially highlighted Technology Lab 105.\nSunday, April 26, 2026", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 54, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": ", 104, 202, 203, 204, 206, and the specially highlighted Technology Lab 105.\nSunday, April 26, 2026\nThe morning sessions commence with the Applied Statistics examination (Course Code: 1915251), managed by Dr. Luai Al-Nimer for 32 students. This exam is scheduled from 8:30 AM to 9:30 AM in Technology Lab 203.\nFollowing this, the Web Applications Security examination (Course Code: 1911351) will be coordinated by Dr. Mohammad Al-Ma'aieh for a cohort of 67 students.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 55, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "n (Course Code: 1911351) will be coordinated by Dr. Mohammad Al-Ma'aieh for a cohort of 67 students. Taking place from 10:30 AM to 11:30 AM, this session will be hosted in Technology Labs 104 and 105.\nDuring the midday slot, the Computer Ethics and Documentation examination (Course Code: 1902203) will be overseen by Dr. Huda Karajeh for 55 students. This exam will take place from 12:30 PM to 1:30 PM in Technology Labs 101 and 103.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 56, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "for 55 students. This exam will take place from 12:30 PM to 1:30 PM in Technology Labs 101 and 103.\nIn the afternoon, two examinations are scheduled concurrently from 2:30 PM to 3:30 PM. The Smart Business Systems examination (Course Code: 1904371) will be directed by Dr. Dana Qutaiba for 28 students on Floor 3, Hall 3 of the Technology building. Alongside it, the Administrative Information Systems examination (Course Code: 1904232) will be managed by Dr.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 57, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "it, the Administrative Information Systems examination (Course Code: 1904232) will be managed by Dr. Yazan Al-Shamaileh for 24 students in Technology Lab 301.\nConcluding the day, another pair of exams will occur simultaneously from 3:30 PM to 4:30 PM. The IT Project Management examination (Course Code: 1904472) will be overseen by Dr. Mohammad Al-Sharaieh for 54 students in Technology Labs 104 and 105.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 58, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "904472) will be overseen by Dr. Mohammad Al-Sharaieh for 54 students in Technology Labs 104 and 105. Concurrently, the Geographic Information Systems examination (Course Code: 1902459) will be administered by Prof. Mohammad Bilal Al-Zoubi for 41 students in Technology Lab 103.\nMonday, April 27, 2026\nThe day begins with a cluster of five concurrent examinations scheduled from 11:30 AM to 12:30 PM. The Principles of Security examination (Course Code: 1911101) will be coordinated by Dr.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 59, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "o 12:30 PM. The Principles of Security examination (Course Code: 1911101) will be coordinated by Dr. Mohammad Otoum for 24 students in Technology Lab 105. The Digital Logic examination (Course Code: 1901204) will be managed by Prof. Imad Salah for 52 students on Floor 1, Hall 2 of the Technology building. The Entrepreneurship and Innovation in IT examination (Course Code: 1902383) will be overseen by Dr. Reem Al-Fayez for 62 students across Technology Labs 001 and 304.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 60, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": ": 1902383) will be overseen by Dr. Reem Al-Fayez for 62 students across Technology Labs 001 and 304. The Non-Relational Databases examination (Course Code: 1915331) will be directed by Prof. Ruzaiq Al-Sayyed for 40 students in Technology Labs 104 and 203. Finally, the Deep Learning examination (Course Code: 1915471) will be administered by Dr. Tammam Al-Serhan for 43 students on Floor 3, Hall 3 of the Technology building.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 61, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "administered by Dr. Tammam Al-Serhan for 43 students on Floor 3, Hall 3 of the Technology building.\nIn the afternoon, two distinct sections of the Penetration Testing and Ethical Hacking examination will be held simultaneously from 1:00 PM to 2:00 PM, both managed by Dr. Ahmad Huweitat. The first section (Course Code: 1911381) accommodates a highlighted group of 44 students and will take place in Technology Lab 001.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 62, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "1911381) accommodates a highlighted group of 44 students and will take place in Technology Lab 001. The second section (Course Code: 1911393) is designated for 24 students and will be situated in Technology Lab 002.\nExamination Schedule Continuation (Late April to Early May 2026)\nTuesday, April 28, 2026\nThe examination for Security Operations (Course Code: 1911387) will be overseen by Dr. Ghareeb Abu Al-Ghanam, accommodating 67 students.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 63, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "ons (Course Code: 1911387) will be overseen by Dr. Ghareeb Abu Al-Ghanam, accommodating 67 students. This assessment is scheduled to occur from 10:30 AM to 11:30 AM and will be conducted in Technology Labs 104 and 105.\nConcurrently, the Machine Learning and Neural Networks examination (Course Code: 1915370) will be directed by Dr. Ali Al-Rodhan for a cohort of 62 students. This session will also take place from 10:30 AM to 11:30 AM, utilizing Technology Labs 203 and 301.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 64, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "This session will also take place from 10:30 AM to 11:30 AM, utilizing Technology Labs 203 and 301.\nIn the afternoon, the Advanced Topics in Software Engineering examination (Course Code: 1902472) will be managed by Prof. Amjad Hudaib for 43 students. This exam is scheduled from 2:30 PM to 3:30 PM and will be hosted on Floor 1, Hall 3 of the Technology building.\nFollowing this, the Special Topics in Data Science examination (Course Code: 1915494) will be administered by Dr.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 65, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "s, the Special Topics in Data Science examination (Course Code: 1915494) will be administered by Dr. Yousef Sanjalawi for 23 students. This session will take place from 3:30 PM to 4:30 PM in Technology Lab 302.\nSimultaneously, the Computer Ethics examination (Course Code: 1901301) will be coordinated by Dr. Mazen Al-Wadi for 54 students. This exam will also run from 3:30 PM to 4:30 PM and will be located in Technology Labs 103 and 104.\nWednesday, April 29, 2026", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 66, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "om 3:30 PM to 4:30 PM and will be located in Technology Labs 103 and 104.\nWednesday, April 29, 2026\nThe Systems Analysis and Design examination (Course Code: 1902474) will be overseen by Dr. Hamad Al-Sawalqah, accommodating 72 students. This session is scheduled from 11:30 AM to 12:30 PM and will be conducted on Floor 3, Halls 2 and 3 of the Technology building.\nLater that afternoon, the Software Engineering examination (Course Code: 1902372) will also be managed by Dr.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 67, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "t afternoon, the Software Engineering examination (Course Code: 1902372) will also be managed by Dr. Hamad Al-Sawalqah for an extensive cohort of 298 students. This comprehensive examination will take place from 1:00 PM to 2:00 PM and will span multiple venues: Floor 1, Hall 1; Floor 2, Halls 2, 3, and 5; and Floor 3, Halls 1 and 3 of the Technology building.\nThursday, April 30, 2026", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 68, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "Halls 2, 3, and 5; and Floor 3, Halls 1 and 3 of the Technology building.\nThursday, April 30, 2026\nThe day begins with the Special Topic in Digital Skills / Smart Web Tools examination (Course Code: 0309104), coordinated by Eng. Leen Abu Nasser for 76 students. The exam will run from 1:30 PM to 2:30 PM, located in Technology Labs 101, 102, and 201.\nFollowing this, the Linear Algebra for Computing Sciences examination (Course Code: 1915101) will be directed by Prof.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 69, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "e Linear Algebra for Computing Sciences examination (Course Code: 1915101) will be directed by Prof. Omar Al-Qadi for a large group of 208 students. This session is scheduled from 2:30 PM to 3:30 PM across Technology Labs 002, 102, 201, 206, 302, and the specially highlighted Technology Lab 303.\nConcluding the day, a major cluster of five examinations will occur simultaneously from 3:30 PM to 4:30 PM. The Secure Software Engineering examination (Course Code: 1911371) will be overseen by Eng.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 70, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "4:30 PM. The Secure Software Engineering examination (Course Code: 1911371) will be overseen by Eng. Saleem Al-Sarayreh for 42 students in Technology Lab 101.\nAlongside it, the Graph Theory examination (Course Code: 1901443) will be administered by Dr. Basma Al-Shqirat for 56 students in Technology Labs 206 and 207.\nConcurrently, the Special Topics in Artificial Intelligence examination (Course Code: 1905493) will be managed by Dr.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 71, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "Special Topics in Artificial Intelligence examination (Course Code: 1905493) will be managed by Dr. Tammam Al-Serhan for 43 students on Floor 3, Hall 3 of the Technology building.\nDuring the same time, the Cloud Computing examination (Course Code: 1915461) will be directed by Eng. Ubay Shalbak for 40 students in Technology Lab 001.\nFinally, the Adaptive User Systems examination (Course Code: 1905323) will be coordinated by Eng.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 72, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "1.\nFinally, the Adaptive User Systems examination (Course Code: 1905323) will be coordinated by Eng. Asia Bataineh for 20 students, situated on Floor 3, Hall 2 of the Technology building.\nSaturday, May 2, 2026\nThe examination schedule resumes with a massive session for Web Application Development (Course Code: 1904120), overseen by Dr. Sharif Makhadmeh for an exceptionally large cohort of 481 students.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 73, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "Code: 1904120), overseen by Dr. Sharif Makhadmeh for an exceptionally large cohort of 481 students. The exam will run from 9:00 AM to 10:00 AM and will be hosted across Technology Labs 001, 002, 101, 102, 104, 105, 202, 203, 204, 206, 207, 301, 302, and 303.\nFollowing this, the Human-Computer Interaction examination (Course Code: 1902353) will be managed by Prof. Bassam Hammo for 123 students. This session is scheduled from 10:30 AM to 11:30 AM in Technology Labs 101, 102, 103, and 105.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 74, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "nts. This session is scheduled from 10:30 AM to 11:30 AM in Technology Labs 101, 102, 103, and 105.\nSunday, May 3, 2026\nThe afternoon sessions commence with the Natural Language Processing examination (Course Code: 1905380), coordinated by Dr. Luai Al-Nimer for 90 students. This exam is scheduled from 2:30 PM to 3:30 PM and will be hosted on Floor 2, Hall 3, as well as Floor 3, Hall 3 of the Technology building.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 75, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "30 PM and will be hosted on Floor 2, Hall 3, as well as Floor 3, Hall 3 of the Technology building.\nFollowing this, the Operating Systems examination (Course Code: 1901473) will be directed by Eng. Ramah Bani Younes for a large cohort of 239 students. This session will take place from 3:30 PM to 4:30 PM across Technology Labs 002, 103, 104, 105, 301, 302, and 304.\nMonday, May 4, 2026\nThe Information Systems and Applications examination (Course Code: 1902225) will be administered by Dr.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 76, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "Information Systems and Applications examination (Course Code: 1902225) will be administered by Dr. Mohammad Abu Sharia, accommodating 89 students. This session is scheduled from 11:30 AM to 12:30 PM and will be conducted on Floor 1, Hall 2 and Floor 3, Hall 3 of the Technology building.\nConcluding this dataset, the Advanced Web Applications examination (Course Code: 1904254) will be managed by Dr. Bashar Al-Shboul for 64 students.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 77, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "ications examination (Course Code: 1904254) will be managed by Dr. Bashar Al-Shboul for 64 students. This exam will run from 1:00 PM to 2:00 PM and will be situated on Floor 2, Halls 3 and 5 of the Technology building.\nExamination Schedule Conclusion (Early May 2026)\nTuesday, May 5, 2026\nThe examination for Network Security (Course Code: 1911361) will be overseen by Dr. Malek Al-Issa, accommodating a total of 75 students.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 78, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "(Course Code: 1911361) will be overseen by Dr. Malek Al-Issa, accommodating a total of 75 students. This assessment is scheduled to occur from 10:30 AM to 11:30 AM and will be conducted across Technology Labs 104, 105, and 203.\nIn the afternoon, the Data Mining examination (Course Code: 1905222) will be directed by Prof. Ruzaiq Al-Sayyed for a cohort of 113 students. This session will take place from 3:30 PM to 4:30 PM, utilizing Technology Labs 002, 103, 104, and 105.\nWednesday, May 6, 2026", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 79, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "e from 3:30 PM to 4:30 PM, utilizing Technology Labs 002, 103, 104, and 105.\nWednesday, May 6, 2026\nThe day begins with three concurrent examinations scheduled from 11:30 AM to 12:30 PM. The Embedded Systems examination (Course Code: 1905330), coordinated by Dr. Mousa Al-Yameen for 49 students, will be held on Floor 3, Hall 3 of the Technology building.\nMeanwhile, the Web Server Programming examination (Course Code: 1904253) will be managed by Dr.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 80, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "ing.\nMeanwhile, the Web Server Programming examination (Course Code: 1904253) will be managed by Dr. Mohammad Al-Sharaieh for 41 students in Technology Labs 301 and 303.\nConcurrently, the Security Management and Auditing examination (Course Code: 1911321) will be overseen by Dr. Mohammad Otoum for 41 students in Technology Lab 207.\nFollowing these morning sessions, the AI and Data Science Ethics examination (Course Code: 1905220) will be administered by Dr. Tahani Al-Khateeb.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 81, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "ata Science Ethics examination (Course Code: 1905220) will be administered by Dr. Tahani Al-Khateeb. This session caters to 59 students and will occur from 1:00 PM to 2:00 PM across Technology Labs 001 and 002.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 82, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "ion caters to 59 students and will occur from 1:00 PM to 2:00 PM across Technology Labs 001 and 002.", "source": "Mid_Exam_Scheduale.docx", "chunk_id": 83, "language": "English", "was_translated": false, "doc_type": "exam_schedule", "section_title": "" }, { "text": "omprehensive Faculty Office Hours Schedule (Strictly Audited)\nProf. Omar Al-Qadi\nSunday: The dedicated office hours are scheduled from 10:30 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.\nMonday: The dedicated office hours are scheduled from 10:00 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.\nTuesday: The dedicated office hours are scheduled from 10:30 AM to 11:30 AM.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 1, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "ignated faculty office.\nTuesday: The dedicated office hours are scheduled from 10:30 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: The dedicated office hours are scheduled from 10:00 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.\nThursday: The dedicated office hours are scheduled from 10:30 AM to 11:30 AM.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 2, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "gnated faculty office.\nThursday: The dedicated office hours are scheduled from 10:30 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.\nProf. Ruba Obeidat\nSunday: The dedicated office hours are scheduled from 12:30 PM to 1:30 PM. Students may visit for consultations during this period at their designated faculty office.\nMonday: There are no dedicated office hours scheduled for this day.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 3, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "heir designated faculty office.\nMonday: There are no dedicated office hours scheduled for this day.\nTuesday: The dedicated office hours are scheduled from 12:30 PM to 1:30 PM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: The dedicated office hours are scheduled from 12:30 PM to 1:30 PM.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 4, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "scheduled for this day.\nThursday: The dedicated office hours are scheduled from 12:30 PM to 1:30 PM. Students may visit for consultations during this period at their designated faculty office.\nProf. Ruzaiq Al-Sayyed\nSunday: The dedicated office hours are scheduled from 10:30 AM to 12:30 PM. Students may visit for consultations during this period at their designated faculty office.\nMonday: There are no dedicated office hours scheduled for this day.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 5, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "heir designated faculty office.\nMonday: There are no dedicated office hours scheduled for this day.\nTuesday: The dedicated office hours are scheduled from 10:30 AM to 12:30 PM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: The dedicated office hours are scheduled from 10:30 AM to 12:30 PM.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 6, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "cheduled for this day.\nThursday: The dedicated office hours are scheduled from 10:30 AM to 12:30 PM. Students may visit for consultations during this period at their designated faculty office.\nDr. Ali Al-Rodhan\nSunday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM. Students may visit for consultations during this period at their designated faculty office.\nMonday: The dedicated office hours are scheduled from 11:30 AM to 1:00 PM.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 7, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "esignated faculty office.\nMonday: The dedicated office hours are scheduled from 11:30 AM to 1:00 PM. Students may visit for consultations during this period at their designated faculty office.\nTuesday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 8, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "r designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM. Students may visit for consultations during this period at their designated faculty office.\nProf. Yazan Al-Shamaileh\nSunday: The dedicated office hours are scheduled from 12:30 PM to 2:30 PM. Students may visit for consultations during this period at their designated faculty office.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 9, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": ":30 PM. Students may visit for consultations during this period at their designated faculty office.\nMonday: The dedicated office hours are scheduled from 12:00 PM to 1:00 PM. Students may visit for consultations during this period at their designated faculty office.\nTuesday: The dedicated office hours are scheduled from 12:30 PM to 2:30 PM. Students may visit for consultations during this period at their designated faculty office.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 10, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": ":30 PM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: The dedicated office hours are scheduled from 12:00 PM to 1:00 PM. Students may visit for consultations during this period at their designated faculty office.\nThursday: The dedicated office hours are scheduled from 12:30 PM to 2:30 PM. Students may visit for consultations during this period at their designated faculty office.\nProf. Hamed Saqer Al-Bdour", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 11, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "for consultations during this period at their designated faculty office.\nProf. Hamed Saqer Al-Bdour\nSunday: There are no dedicated office hours scheduled for this day.\nMonday: There are no dedicated office hours scheduled for this day.\nTuesday: There are no dedicated office hours scheduled for this day.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: There are no dedicated office hours scheduled for this day.\nDr. Deema Mahmoud Suleiman", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 12, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "y.\nThursday: There are no dedicated office hours scheduled for this day.\nDr. Deema Mahmoud Suleiman\nSunday: The dedicated office hours are scheduled from 12:30 PM to 1:00 PM. Students may visit for consultations during this period at their designated faculty office.\nMonday: There are no dedicated office hours scheduled for this day.\nTuesday: The dedicated office hours are scheduled from 12:30 PM to 1:00 PM.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 13, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "scheduled for this day.\nTuesday: The dedicated office hours are scheduled from 12:30 PM to 1:00 PM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: There are no dedicated office hours scheduled for this day.\nDr. Bashar Al-Shboul\nSunday: The dedicated office hours are scheduled from 9:30 AM to 11:30 AM.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 14, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "day.\nDr. Bashar Al-Shboul\nSunday: The dedicated office hours are scheduled from 9:30 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.\nMonday: There are no dedicated office hours scheduled for this day.\nTuesday: The dedicated office hours are scheduled from 9:30 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 15, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "r designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: The dedicated office hours are scheduled from 9:30 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.\nDr. Ahmad Al-Huweitat\nSunday: The dedicated office hours are scheduled from 10:30 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 16, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": ":30 AM. Students may visit for consultations during this period at their designated faculty office.\nMonday: There are no dedicated office hours scheduled for this day.\nTuesday: The dedicated office hours are scheduled from 10:30 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: There are no dedicated office hours scheduled for this day.\nDr.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 17, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "rs scheduled for this day.\nThursday: There are no dedicated office hours scheduled for this day.\nDr. Huda Abdel Rahim Karajeh\nSunday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM. Students may visit for consultations during this period at their designated faculty office.\nMonday: There are no dedicated office hours scheduled for this day.\nTuesday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 18, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "scheduled for this day.\nTuesday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: There are no dedicated office hours scheduled for this day.\nProf. Amjad Ahmad Hudaib\nSunday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 19, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "Prof. Amjad Ahmad Hudaib\nSunday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM. Students may visit for consultations during this period at their designated faculty office.\nMonday: The dedicated office hours are scheduled from 11:30 AM to 1:00 PM. Students may visit for consultations during this period at their designated faculty office.\nTuesday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 20, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "ignated faculty office.\nTuesday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM. Students may visit for consultations during this period at their designated faculty office.\nDr. Mohammad Abdel Rahman Abu Sharia", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 21, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "tations during this period at their designated faculty office.\nDr. Mohammad Abdel Rahman Abu Sharia\nSunday: The dedicated office hours are scheduled from 10:30 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.\nMonday: The dedicated office hours are scheduled from 11:30 AM to 1:00 PM. Students may visit for consultations during this period at their designated faculty office.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 22, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": ":00 PM. Students may visit for consultations during this period at their designated faculty office.\nTuesday: The dedicated office hours are scheduled from 10:30 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: The dedicated office hours are scheduled from 11:30 AM to 1:00 PM. Students may visit for consultations during this period at their designated faculty office.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 23, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": ":00 PM. Students may visit for consultations during this period at their designated faculty office.\nThursday: There are no dedicated office hours scheduled for this day.\nProf. Thaer Mahmoud Hamtini\nSunday: There are no dedicated office hours scheduled for this day.\nMonday: There are no dedicated office hours scheduled for this day.\nTuesday: There are no dedicated office hours scheduled for this day.\nWednesday: The dedicated office hours are scheduled from 3:00 PM to 4:00 PM.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 24, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "scheduled for this day.\nWednesday: The dedicated office hours are scheduled from 3:00 PM to 4:00 PM. Students may visit for consultations during this period at their designated faculty office.\nThursday: The dedicated office hours are scheduled from 12:30 PM to 1:30 PM. Students may visit for consultations during this period at their designated faculty office.\nDr. Abdel Baset Jamal Assaf\nSunday: The dedicated office hours are scheduled from 10:30 AM to 11:30 AM.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 25, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "Abdel Baset Jamal Assaf\nSunday: The dedicated office hours are scheduled from 10:30 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.\nMonday: There are no dedicated office hours scheduled for this day.\nTuesday: The dedicated office hours are scheduled from 10:30 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 26, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": ":30 AM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: The dedicated office hours are scheduled from 11:30 AM to 1:00 PM. Students may visit for consultations during this period at their designated faculty office.\nThursday: The dedicated office hours are scheduled from 10:30 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.\nDr. Mousa Tawfiq Al-Akhras", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 27, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "for consultations during this period at their designated faculty office.\nDr. Mousa Tawfiq Al-Akhras\nSunday: The dedicated office hours are scheduled from 3:30 PM to 4:30 PM. Students may visit for consultations during this period at their designated faculty office.\nMonday: There are no dedicated office hours scheduled for this day.\nTuesday: The dedicated office hours are scheduled from 3:30 PM to 4:30 PM. Students may visit for consultations during this period at their designated faculty office.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 28, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "4:30 PM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: There are no dedicated office hours scheduled for this day.\nProf. Rana Mohammad Yousef\nSunday: There are no dedicated office hours scheduled for this day.\nMonday: The dedicated office hours are scheduled from 8:30 AM to 10:00 AM.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 29, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "s scheduled for this day.\nMonday: The dedicated office hours are scheduled from 8:30 AM to 10:00 AM. Students may visit for consultations during this period at their designated faculty office.\nTuesday: There are no dedicated office hours scheduled for this day.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: There are no dedicated office hours scheduled for this day.\nInstructor Hiba Ali Mohammad\nSunday: There are no dedicated office hours scheduled for this day.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 30, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "y.\nInstructor Hiba Ali Mohammad\nSunday: There are no dedicated office hours scheduled for this day.\nMonday: There are no dedicated office hours scheduled for this day.\nTuesday: There are no dedicated office hours scheduled for this day.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: There are no dedicated office hours scheduled for this day.\nInstructor Tamara Yousef Al-Maraabeh\nSunday: There are no dedicated office hours scheduled for this day.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 31, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "uctor Tamara Yousef Al-Maraabeh\nSunday: There are no dedicated office hours scheduled for this day.\nMonday: There are no dedicated office hours scheduled for this day.\nTuesday: There are no dedicated office hours scheduled for this day.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: There are no dedicated office hours scheduled for this day.\nDr. Tahani Salah Al-Khateeb\nSunday: The dedicated office hours are scheduled from 10:30 AM to 11:30 AM.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 32, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "Tahani Salah Al-Khateeb\nSunday: The dedicated office hours are scheduled from 10:30 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.\nMonday: There are no dedicated office hours scheduled for this day.\nTuesday: The dedicated office hours are scheduled from 10:30 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 33, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "ir designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: There are no dedicated office hours scheduled for this day.\nInstructor Aseel Mohammad Al-Anani\nSunday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM. Students may visit for consultations during this period at their designated faculty office.\nMonday: There are no dedicated office hours scheduled for this day.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 34, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "heir designated faculty office.\nMonday: There are no dedicated office hours scheduled for this day.\nTuesday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: There are no dedicated office hours scheduled for this day.\nInstructor Lama Rajab Abdel Majeed", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 35, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "day: There are no dedicated office hours scheduled for this day.\nInstructor Lama Rajab Abdel Majeed\nSunday: There are no dedicated office hours scheduled for this day.\nMonday: The dedicated office hours are scheduled from 11:00 AM to 12:00 PM. Students may visit for consultations during this period at their designated faculty office.\nTuesday: There are no dedicated office hours scheduled for this day.\nWednesday: There are no dedicated office hours scheduled for this day.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 36, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "ours scheduled for this day.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: The dedicated office hours are scheduled from 9:30 AM to 10:30 AM. Students may visit for consultations during this period at their designated faculty office.\nInstructor Rula Ismail Khalid\nSunday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM. Students may visit for consultations during this period at their designated faculty office.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 37, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": ":30 PM. Students may visit for consultations during this period at their designated faculty office.\nMonday: There are no dedicated office hours scheduled for this day.\nTuesday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: There are no dedicated office hours scheduled for this day.\nDr. Yousef Sanjalawi", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 38, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "his day.\nThursday: There are no dedicated office hours scheduled for this day.\nDr. Yousef Sanjalawi\nSunday: The dedicated office hours are scheduled from 12:30 PM to 1:30 PM. Students may visit for consultations during this period at their designated faculty office.\nMonday: There are no dedicated office hours scheduled for this day.\nTuesday: The dedicated office hours are scheduled from 12:30 PM to 1:30 PM.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 39, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "scheduled for this day.\nTuesday: The dedicated office hours are scheduled from 12:30 PM to 1:30 PM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: The dedicated office hours are scheduled from 12:30 PM to 1:30 PM. Students may visit for consultations during this period at their designated faculty office.\nDr. Hamad Oqab Al-Sawalqah", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 40, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "for consultations during this period at their designated faculty office.\nDr. Hamad Oqab Al-Sawalqah\nSunday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM. Students may visit for consultations during this period at their designated faculty office.\nMonday: The dedicated office hours are scheduled from 9:30 AM to 10:00 AM. Students may visit for consultations during this period at their designated faculty office.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 41, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": ":00 AM. Students may visit for consultations during this period at their designated faculty office.\nTuesday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: The dedicated office hours are scheduled from 9:30 AM to 10:00 AM. Students may visit for consultations during this period at their designated faculty office.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 42, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": ":00 AM. Students may visit for consultations during this period at their designated faculty office.\nThursday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM. Students may visit for consultations during this period at their designated faculty office.\nProf. Bassam Hasan Hammo\nSunday: The dedicated office hours are scheduled from 12:30 PM to 1:30 PM. Students may visit for consultations during this period at their designated faculty office.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 43, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": ":30 PM. Students may visit for consultations during this period at their designated faculty office.\nMonday: There are no dedicated office hours scheduled for this day.\nTuesday: The dedicated office hours are scheduled from 12:30 PM to 1:30 PM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: There are no dedicated office hours scheduled for this day.\nDr. Sharif Makhadmeh", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 44, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "his day.\nThursday: There are no dedicated office hours scheduled for this day.\nDr. Sharif Makhadmeh\nSunday: The dedicated office hours are scheduled from 8:30 AM to 9:30 AM. Students may visit for consultations during this period at their designated faculty office.\nMonday: There are no dedicated office hours scheduled for this day.\nTuesday: The dedicated office hours are scheduled from 8:30 AM to 9:30 AM. Students may visit for consultations during this period at their designated faculty office.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 45, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "9:30 AM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: The dedicated office hours are scheduled from 8:30 AM to 9:30 AM. Students may visit for consultations during this period at their designated faculty office.\nDr. Mazen Al-Wadi\nSunday: There are no dedicated office hours scheduled for this day.\nMonday: There are no dedicated office hours scheduled for this day.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 46, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "e hours scheduled for this day.\nMonday: There are no dedicated office hours scheduled for this day.\nTuesday: There are no dedicated office hours scheduled for this day.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM. Students may visit for consultations during this period at their designated faculty office.\nMr. Nabeel Al-Assaf", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 47, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "visit for consultations during this period at their designated faculty office.\nMr. Nabeel Al-Assaf\nSunday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM. Students may visit for consultations during this period at their designated faculty office.\nMonday: There are no dedicated office hours scheduled for this day.\nTuesday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 48, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "scheduled for this day.\nTuesday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: There are no dedicated office hours scheduled for this day.\nDr. Mohammad Abdullah Al-Sharaieh\nSunday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 49, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "mad Abdullah Al-Sharaieh\nSunday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM. Students may visit for consultations during this period at their designated faculty office.\nMonday: There are no dedicated office hours scheduled for this day.\nTuesday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM. Students may visit for consultations during this period at their designated faculty office.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 50, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": ":30 PM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: The dedicated office hours are scheduled from 10:00 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.\nThursday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM. Students may visit for consultations during this period at their designated faculty office.\nProf. Saleh Al-Sharaieh", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 51, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "it for consultations during this period at their designated faculty office.\nProf. Saleh Al-Sharaieh\nSunday: The dedicated office hours are scheduled from 9:30 AM to 10:30 AM. Students may visit for consultations during this period at their designated faculty office.\nMonday: There are no dedicated office hours scheduled for this day.\nTuesday: The dedicated office hours are scheduled from 9:30 AM to 10:30 AM.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 52, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "scheduled for this day.\nTuesday: The dedicated office hours are scheduled from 9:30 AM to 10:30 AM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: There are no dedicated office hours scheduled for this day.\nInstructor Ramah Bani Younes\nSunday: The dedicated office hours are scheduled from 10:30 AM to 11:30 AM.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 53, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "ructor Ramah Bani Younes\nSunday: The dedicated office hours are scheduled from 10:30 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.\nMonday: There are no dedicated office hours scheduled for this day.\nTuesday: The dedicated office hours are scheduled from 10:30 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 54, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "ir designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: There are no dedicated office hours scheduled for this day.\nEng. Lubna Nasser El-Din\nSunday: There are no dedicated office hours scheduled for this day.\nMonday: The dedicated office hours are scheduled from 8:30 AM to 10:00 AM. Students may visit for consultations during this period at their designated faculty office.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 55, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": ":00 AM. Students may visit for consultations during this period at their designated faculty office.\nTuesday: The dedicated office hours are scheduled from 8:30 AM to 9:30 AM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: There are no dedicated office hours scheduled for this day.\nDr. Malek Al-Issa (Corrected from earlier batch)", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 56, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "no dedicated office hours scheduled for this day.\nDr. Malek Al-Issa (Corrected from earlier batch)\nSunday: The dedicated office hours are scheduled from 10:30 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.\nMonday: The dedicated office hours are scheduled from 10:00 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 57, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": ":30 AM. Students may visit for consultations during this period at their designated faculty office.\nTuesday: The dedicated office hours are scheduled from 10:30 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: The dedicated office hours are scheduled from 10:00 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 58, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": ":30 AM. Students may visit for consultations during this period at their designated faculty office.\nThursday: The dedicated office hours are scheduled from 10:30 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.\nDr. Ghareeb Abu Al-Ghanam\nSunday: There are no dedicated office hours scheduled for this day.\nMonday: The dedicated office hours are scheduled from 11:30 AM to 1:00 PM.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 59, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "s scheduled for this day.\nMonday: The dedicated office hours are scheduled from 11:30 AM to 1:00 PM. Students may visit for consultations during this period at their designated faculty office.\nTuesday: The dedicated office hours are scheduled from 10:30 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 60, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "r designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: The dedicated office hours are scheduled from 10:30 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.\nInstructor Zeina Mohammad Rateb Yousef\nSunday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM. Students may visit for consultations during this period at their designated faculty office.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 61, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": ":30 PM. Students may visit for consultations during this period at their designated faculty office.\nMonday: There are no dedicated office hours scheduled for this day.\nTuesday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 62, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "cheduled for this day.\nThursday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM. Students may visit for consultations during this period at their designated faculty office.\nDr. Mohammad Al-Otoum\nSunday: There are no dedicated office hours scheduled for this day.\nMonday: The dedicated office hours are scheduled from 10:00 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 63, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": ":30 AM. Students may visit for consultations during this period at their designated faculty office.\nTuesday: The dedicated office hours are scheduled from 1:30 PM to 2:30 PM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: There are no dedicated office hours scheduled for this day.\nProf. Imad Salah\nSunday: There are no dedicated office hours scheduled for this day.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 64, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "for this day.\nProf. Imad Salah\nSunday: There are no dedicated office hours scheduled for this day.\nMonday: The dedicated office hours are scheduled from 10:00 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.\nTuesday: There are no dedicated office hours scheduled for this day.\nWednesday: The dedicated office hours are scheduled from 10:00 AM to 11:30 AM.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 65, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "heduled for this day.\nWednesday: The dedicated office hours are scheduled from 10:00 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.\nThursday: There are no dedicated office hours scheduled for this day.\nProf. Sami Serhan\nSunday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM. Students may visit for consultations during this period at their designated faculty office.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 66, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": ":30 PM. Students may visit for consultations during this period at their designated faculty office.\nMonday: There are no dedicated office hours scheduled for this day.\nTuesday: The dedicated office hours are scheduled from 11:30 AM to 12:30 PM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: There are no dedicated office hours scheduled for this day.\nProf. Azzam Sleit", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 67, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "r this day.\nThursday: There are no dedicated office hours scheduled for this day.\nProf. Azzam Sleit\nSunday: There are no dedicated office hours scheduled for this day. (Note: Only Academic Counseling is listed during this time).\nMonday: There are no dedicated office hours scheduled for this day.\nTuesday: The dedicated office hours are scheduled from 10:30 AM to 11:30 AM. Students may visit for consultations during this period at their designated faculty office.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 68, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": ":30 AM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: There are no dedicated office hours scheduled for this day.\nProf. Basel Mahafzah\nSunday: The dedicated office hours are scheduled from 3:00 PM to 4:00 PM. Students may visit for consultations during this period at their designated faculty office.\nMonday: There are no dedicated office hours scheduled for this day.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 69, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "heir designated faculty office.\nMonday: There are no dedicated office hours scheduled for this day.\nTuesday: The dedicated office hours are scheduled from 3:00 PM to 4:00 PM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: There are no dedicated office hours scheduled for this day.\nInstructor Kholoud Al-Zoubi", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 70, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": ".\nThursday: There are no dedicated office hours scheduled for this day.\nInstructor Kholoud Al-Zoubi\nSunday: There are no dedicated office hours scheduled for this day.\nMonday: There are no dedicated office hours scheduled for this day.\nTuesday: There are no dedicated office hours scheduled for this day.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: The dedicated office hours are scheduled from 1:30 PM to 2:30 PM.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 71, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "scheduled for this day.\nThursday: The dedicated office hours are scheduled from 1:30 PM to 2:30 PM. Students may visit for consultations during this period at their designated faculty office.\nInstructor Alaa Abu Khalil\nSunday: There are no dedicated office hours scheduled for this day.\nMonday: There are no dedicated office hours scheduled for this day.\nTuesday: The dedicated office hours are scheduled from 2:30 PM to 3:30 PM.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 72, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "s scheduled for this day.\nTuesday: The dedicated office hours are scheduled from 2:30 PM to 3:30 PM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: There are no dedicated office hours scheduled for this day.\nInstructor Ahmad Obeidat\nSunday: There are no dedicated office hours scheduled for this day.\nMonday: There are no dedicated office hours scheduled for this day.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 73, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "e hours scheduled for this day.\nMonday: There are no dedicated office hours scheduled for this day.\nTuesday: The dedicated office hours are scheduled from 12:30 PM to 1:30 PM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: There are no dedicated office hours scheduled for this day.\nInstructor Saleem Al-Sarayreh", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 74, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "Thursday: There are no dedicated office hours scheduled for this day.\nInstructor Saleem Al-Sarayreh\nSunday: There are no dedicated office hours scheduled for this day.\nMonday: The dedicated office hours are scheduled from 1:00 PM to 2:30 PM. Students may visit for consultations during this period at their designated faculty office.\nTuesday: The dedicated office hours are scheduled from 2:30 PM to 3:30 PM. Students may visit for consultations during this period at their designated faculty office.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 75, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "3:30 PM. Students may visit for consultations during this period at their designated faculty office.\nWednesday: There are no dedicated office hours scheduled for this day.\nThursday: There are no dedicated office hours scheduled for this day.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 76, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "hours scheduled for this day.\nThursday: There are no dedicated office hours scheduled for this day.", "source": "Office_Hours_for_Proffs.docx", "chunk_id": 77, "language": "English", "was_translated": false, "doc_type": "office_hours", "section_title": "" }, { "text": "Institution: King Abdullah II School for Information Technology (KASIT)\nProgram: Bachelor of Artificial Intelligence\nTotal Credits: 132\nCourse Credit Value: 3 Credit Hours per Course\nStructure: Courses are organized with prerequisite relationships indicated by arrows.\n University Requirements\nSeminar (ندوة الطريق إلى احتراف البرمجيات)\nCalculus 1\nLinear Algebra\nDiscrete Mathematics\nStatistics\n Foundation Courses\nCourse: Fundamentals of Information Technology (Fund)\nCredits: 3", "source": "study plans.docx", "chunk_id": 1, "language": "English", "was_translated": false, "doc_type": "study_plan", "section_title": "" }, { "text": "cs\nStatistics\n Foundation Courses\nCourse: Fundamentals of Information Technology (Fund)\nCredits: 3\nPrerequisites: None\nCourse: Computer Ethics\nCredits: 3\nPrerequisites: None\nCourse: Ethics of Artificial Intelligence and Data Science\nCredits: 3\nPrerequisites: None\nCourse: Introduction to Artificial Intelligence\nCredits: 3\nPrerequisites: Fundamentals of IT\nCourse: Algorithms (Algo)\nCredits: 3\nPrerequisites: None\nCourse: Discrete Mathematics\nCredits: 3\nPrerequisites: None\nCourse: Linear Algebra", "source": "study plans.docx", "chunk_id": 2, "language": "English", "was_translated": false, "doc_type": "study_plan", "section_title": "" }, { "text": "requisites: None\nCourse: Discrete Mathematics\nCredits: 3\nPrerequisites: None\nCourse: Linear Algebra\nCredits: 3\nPrerequisites: Calculus 1\n Programming and Systems Courses\nCourse: C++ Programming\nCredits: 3\nPrerequisites: Fundamentals of IT\nCourse: Object-Oriented Programming (OOP)\nCredits: 3\nPrerequisites: C++ Programming\nCourse: Artificial Intelligence Programming\nCredits: 3\nPrerequisites: Introduction to AI, OOP\nCourse: Data Structures\nCredits: 3\nPrerequisites: OOP\nCourse: Operating Systems", "source": "study plans.docx", "chunk_id": 3, "language": "English", "was_translated": false, "doc_type": "study_plan", "section_title": "" }, { "text": "oduction to AI, OOP\nCourse: Data Structures\nCredits: 3\nPrerequisites: OOP\nCourse: Operating Systems\nCredits: 3\nPrerequisites: Data Structures\nCourse: Computer Networks\nCredits: 3\nPrerequisites: OOP\nCourse: Web Applications Development (WEB)\nCredits: 3\nPrerequisites: OOP\nCourse: Human-Computer Interaction (HCI)\nCredits: 3\nPrerequisites: WEB\nCourse: Embedded Systems\nCredits: 3\nPrerequisites: Computer Networks\n Data Science and Intelligent Systems\nCourse: Database Systems (DataBase)\nCredits: 3", "source": "study plans.docx", "chunk_id": 4, "language": "English", "was_translated": false, "doc_type": "study_plan", "section_title": "" }, { "text": "uter Networks\n Data Science and Intelligent Systems\nCourse: Database Systems (DataBase)\nCredits: 3\nPrerequisites: Data Structures\nCourse: Data Mining\nCredits: 3\nPrerequisites: Database Systems, Statistics\nCourse: Cloud Computing\nCredits: 3\nPrerequisites: Data Mining\nCourse: Big Data\nCredits: 3\nPrerequisites: Data Mining\nCourse: Knowledge Representation and Reasoning (KRR)\nCredits: 3\nPrerequisites: Introduction to AI\nCourse: Ontologies\nCredits: 3\nPrerequisites: KRR", "source": "study plans.docx", "chunk_id": 5, "language": "English", "was_translated": false, "doc_type": "study_plan", "section_title": "" }, { "text": "(KRR)\nCredits: 3\nPrerequisites: Introduction to AI\nCourse: Ontologies\nCredits: 3\nPrerequisites: KRR\nCourse: Knowledge Management Systems\nCredits: 3\nPrerequisites: Database Systems\nCourse: Business Intelligence\nCredits: 3\nPrerequisites: Database Systems\n Artificial Intelligence Core Courses\nCourse: Artificial Intelligence (AI)\nCredits: 3\nPrerequisites: Linear Algebra, Discrete Mathematics, Introduction to AI\nCourse: Machine Learning (ML)\nCredits: 3\nPrerequisites: AI, Statistics, Linear Algebra", "source": "study plans.docx", "chunk_id": 6, "language": "English", "was_translated": false, "doc_type": "study_plan", "section_title": "" }, { "text": "uction to AI\nCourse: Machine Learning (ML)\nCredits: 3\nPrerequisites: AI, Statistics, Linear Algebra\nCourse: Deep Learning\nCredits: 3\nPrerequisites: Machine Learning\nCourse: Natural Language Processing (NLP)\nCredits: 3\nPrerequisites: AI, Linear Algebra\nCourse: Computer Vision\nCredits: 3\nPrerequisites: Machine Learning\nCourse: Pattern Recognition\nCredits: 3\nPrerequisites: AI, Statistics\nCourse: Intelligent Robotics\nCredits: 3\nPrerequisites: Embedded Systems, AI\nCourse: Game AI\nCredits: 3", "source": "study plans.docx", "chunk_id": 7, "language": "English", "was_translated": false, "doc_type": "study_plan", "section_title": "" }, { "text": "rse: Intelligent Robotics\nCredits: 3\nPrerequisites: Embedded Systems, AI\nCourse: Game AI\nCredits: 3\nPrerequisites: AI\nCourse: Cognitive Computing\nCredits: 3\nPrerequisites: AI\nCourse: Digital Image Processing\nCredits: 3\nPrerequisites: Linear Algebra\nCourse: Arabic Language Processing\nCredits: 3\nPrerequisites: NLP\n Internet of Things and Advanced Topics\nCourse: Internet of Things (IoT)\nCredits: 3\nPrerequisites: Networks, Embedded Systems\nCourse: Social Network Analysis\nCredits: 3", "source": "study plans.docx", "chunk_id": 8, "language": "English", "was_translated": false, "doc_type": "study_plan", "section_title": "" }, { "text": "oT)\nCredits: 3\nPrerequisites: Networks, Embedded Systems\nCourse: Social Network Analysis\nCredits: 3\nPrerequisites: Data Mining\nCourse: Information Retrieval and Search Engines\nCredits: 3\nPrerequisites: Data Mining\nCourse: Bioinformatics\nCredits: 3\nPrerequisites: Data Analysis Foundations\nCourse: Medical Data Analytics\nCredits: 3\nPrerequisites: Data Mining\nCourse: Virtual Reality (VR)\nCredits: 3\nPrerequisites: Computer Vision\nCourse: Mobile Application Development Frameworks\nCredits: 3", "source": "study plans.docx", "chunk_id": 9, "language": "English", "was_translated": false, "doc_type": "study_plan", "section_title": "" }, { "text": "dits: 3\nPrerequisites: Computer Vision\nCourse: Mobile Application Development Frameworks\nCredits: 3\nPrerequisites: OOP\nCourse: Advanced Topics in AI\nCredits: 3\nPrerequisites: AI\n Supporting Courses\nCourse: Software Engineering\nCredits: 3\nPrerequisites: Data Structures\nCourse: Information Security\nCredits: 3\nPrerequisites: Computer Networks\nCourse: Network Security\nCredits: 3\nPrerequisites: Computer Networks\nCourse: Systems Analysis and Design\nCredits: 3\nPrerequisites: Software Engineering", "source": "study plans.docx", "chunk_id": 10, "language": "English", "was_translated": false, "doc_type": "study_plan", "section_title": "" }, { "text": "omputer Networks\nCourse: Systems Analysis and Design\nCredits: 3\nPrerequisites: Software Engineering\nCourse: Innovation and Entrepreneurship (ITE)\nCredits: 3\nPrerequisites: None\nCourse: NoSQL Databases\nCredits: 3\nPrerequisites: Database Systems\nCourse: Database Tools\nCredits: 3\nPrerequisites: Database Systems\n Graduation Requirements\nCourse: Practical Training\nCredits: 3\nPrerequisites: Completion of 90 Credit Hours\nCourse: Graduation Project 1\nCredits: 3", "source": "study plans.docx", "chunk_id": 11, "language": "English", "was_translated": false, "doc_type": "study_plan", "section_title": "" }, { "text": "ing\nCredits: 3\nPrerequisites: Completion of 90 Credit Hours\nCourse: Graduation Project 1\nCredits: 3\nPrerequisites: Completion of 90 Credit Hours\nCourse: Graduation Project 2\nCredits: 3\nPrerequisites: Graduation Project 1", "source": "study plans.docx", "chunk_id": 12, "language": "English", "was_translated": false, "doc_type": "study_plan", "section_title": "" }, { "text": "etion of 90 Credit Hours\nCourse: Graduation Project 2\nCredits: 3\nPrerequisites: Graduation Project 1", "source": "study plans.docx", "chunk_id": 13, "language": "English", "was_translated": false, "doc_type": "study_plan", "section_title": "" }, { "text": "مكرمة المعلمين في الأردن\nTeachers' Grant Guidelines (Jordan)\nCategory: Makruma Al-Moalimeen\nPublished Date: 2024\nLast Updated: 2026-04-13\nPrepared for Retrieval-Augmented Generation (RAG) Systems", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 1, "language": "Mixed", "was_translated": false, "doc_type": "scholarship", "section_title": "مكرمة المعلمين في الأردن" }, { "text": "lished Date: 2024\nLast Updated: 2026-04-13\nPrepared for Retrieval-Augmented Generation (RAG) Systems", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 2, "language": "English", "was_translated": false, "doc_type": "scholarship", "section_title": "مكرمة المعلمين في الأردن" }, { "text": "Document Information\nSource: Teachers' Grant FAQ and Conditions\nLanguage: ar\nLast Updated: 2026-04-13", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 3, "language": "English", "was_translated": false, "doc_type": "scholarship", "section_title": "Document Information" }, { "text": "ocument Information\nSource: Teachers' Grant FAQ and Conditions\nLanguage: ar\nLast Updated: 2026-04-13", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 4, "language": "English", "was_translated": false, "doc_type": "scholarship", "section_title": "Document Information" }, { "text": "Search Optimization Text\nشروط مكرمة المعلمين وزارة التربية والتعليم العمر 21 سنة الجنسية أردني ثانوية عامة نفس السنة معدل تنافسي", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 5, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "Search Optimization Text" }, { "text": "Main Content\nللاستفادة 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 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. 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": 6, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "Main Content" }, { "text": "م. 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": 7, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "Main Content" }, { "text": "Metadata\nintent: eligibility\nmin_service_years: 5\nmax_age: 21\nentities:\n- organization: وزارة التربية والتعليم\n- program: مكرمة المعلمين\n- target_audience: الطلبة الأردنيين\nkeywords: شروط, مكرمة المعلمين, العمر, خدمة, التربية والتعليم, معدل تنافسي", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 8, "language": "Mixed", "was_translated": false, "doc_type": "scholarship", "section_title": "Metadata" }, { "text": "ربية والتعليم\n- program: مكرمة المعلمين\n- target_audience: الطلبة الأردنيين\nkeywords: شروط, مكرمة المعلمين, العمر, خدمة, التربية والتعليم, معدل تنافسي", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 9, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "Metadata" }, { "text": "Frequently Asked Questions (Q&A)\nQ: كم عدد سنوات الخدمة المطلوبة لوالد أو والدة الطالب للاستفادة من مكرمة المعلمين؟\nA: يُشترط ألا تقل مدة الخدمة في وزارة التربية والتعليم عن 5 سنوات دراسية، باستثناء حالات الوفاة على رأس العمل أو إنهاء الخدمة لأسباب صحية.\nShort Answer: 5 سنوات خدمة على الأقل\nQ: هل يمكن التقديم لمكرمة المعلمين بشهادة ثانوية من سنوات سابقة؟\nA: لا، يُشترط أن تكون شهادة الثانوية العامة أردنية لنفس سنة التقديم فقط.\nShort Answer: لا، فقط لشهادة نفس السنة\nQ: ما هو العمر الأقصى المسموح به للتقديم على مكرمة أبناء المعلمين؟\nA: يجب ألا يزيد عمر الطالب عن 21 سنة حتى اليوم الأخير من شهر كانون الأول للسنة التي يتقدم فيها.\nShort Answer: 21 سنة كحد أقصى", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 10, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "Frequently Asked Questions (Q&A)" }, { "text": "لى مكرمة أبناء المعلمين؟\nA: يجب ألا يزيد عمر الطالب عن 21 سنة حتى اليوم الأخير من شهر كانون الأول للسنة التي يتقدم فيها.\nShort Answer: 21 سنة كحد أقصى", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 11, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "Frequently Asked Questions (Q&A)" }, { "text": "Document Information\nSource: Teachers' Grant FAQ and Conditions\nLanguage: ar\nLast Updated: 2026-04-13", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 12, "language": "English", "was_translated": false, "doc_type": "scholarship", "section_title": "Document Information" }, { "text": "ocument Information\nSource: Teachers' Grant FAQ and Conditions\nLanguage: ar\nLast Updated: 2026-04-13", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 13, "language": "English", "was_translated": false, "doc_type": "scholarship", "section_title": "Document Information" }, { "text": "Search Optimization Text\nطريقة تقديم مكرمة المعلمين القبول الموحد الرقم الوزاري مراجعة الوزارة تسجيل", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 14, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "Search Optimization Text" }, { "text": "Main Content\nيتم التقديم 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": 15, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "Main Content" }, { "text": "ل 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": 16, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "Main Content" }, { "text": "Metadata\nintent: application_steps\nrequired_input: الرقم الوزاري\nentities:\n- platform: موقع وحدة تنسيق القبول الموحد\nkeywords: القبول الموحد, الرقم الوزاري, آلية التقديم, تسجيل المكرمة", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 17, "language": "Mixed", "was_translated": false, "doc_type": "scholarship", "section_title": "Metadata" }, { "text": "required_input: الرقم الوزاري\nentities:\n- platform: موقع وحدة تنسيق القبول الموحد\nkeywords: القبول الموحد, الرقم الوزاري, آلية التقديم, تسجيل المكرمة", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 18, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "Metadata" }, { "text": "Frequently Asked Questions (Q&A)\nQ: كيف أقدم طلب للاستفادة من مكرمة أبناء المعلمين؟\nA: التقديم يكون إلكترونياً من خلال طلب القبول الموحد.\nShort Answer: إلكترونياً عبر القبول الموحد\nQ: هل أحتاج لمراجعة وزارة التربية والتعليم؟\nA: لا، التقديم إلكتروني بالكامل.\nShort Answer: لا، التقديم إلكتروني بالكامل", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 19, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "Frequently Asked Questions (Q&A)" }, { "text": ": إلكترونياً عبر القبول الموحد\nQ: هل أحتاج لمراجعة وزارة التربية والتعليم؟\nA: لا، التقديم إلكتروني بالكامل.\nShort Answer: لا، التقديم إلكتروني بالكامل", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 20, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "Frequently Asked Questions (Q&A)" }, { "text": "Document Information\nSource: Teachers' Grant FAQ and Conditions\nLanguage: ar\nLast Updated: 2026-04-13", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 21, "language": "English", "was_translated": false, "doc_type": "scholarship", "section_title": "Document Information" }, { "text": "ocument Information\nSource: Teachers' Grant FAQ and Conditions\nLanguage: ar\nLast Updated: 2026-04-13", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 22, "language": "English", "was_translated": false, "doc_type": "scholarship", "section_title": "Document Information" }, { "text": "Search Optimization Text\nشو بتغطي مكرمة المعلمين رسوم الساعات مخصصات مالية بدل كتب", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 23, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "Search Optimization Text" }, { "text": "Main Content\nتتكفل 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": 24, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "Main Content" }, { "text": "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": 25, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "Main Content" }, { "text": "Metadata\nintent: financial_benefits\nstructured_allowances_jod:\n- first_semester: 98\n- second_semester: 78\n- summer_semester: 18\nkeywords: مخصصات, بدل كتب, رسوم الساعات", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 26, "language": "Mixed", "was_translated": false, "doc_type": "scholarship", "section_title": "Metadata" }, { "text": "rst_semester: 98\n- second_semester: 78\n- summer_semester: 18\nkeywords: مخصصات, بدل كتب, رسوم الساعات", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 27, "language": "Mixed", "was_translated": false, "doc_type": "scholarship", "section_title": "Metadata" }, { "text": "Frequently Asked Questions (Q&A)\nQ: هل تغطي المكرمة رسوم الرسوب أو الإسقاط؟\nA: لا، يتحملها الطالب شخصياً.\nShort Answer: لا\nQ: كم يبلغ بدل الكتب؟\nA: 98 ديناراً للفصل الأول، 78 للفصل الثاني، و18 للفصل الصيفي.\nShort Answer: 98، 78، 18 ديناراً", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 28, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "Frequently Asked Questions (Q&A)" }, { "text": "ا الطالب شخصياً.\nShort Answer: لا\nQ: كم يبلغ بدل الكتب؟\nA: 98 ديناراً للفصل الأول، 78 للفصل الثاني، و18 للفصل الصيفي.\nShort Answer: 98، 78، 18 ديناراً", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 29, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "Frequently Asked Questions (Q&A)" }, { "text": "Document Information\nSource: Teachers' Grant FAQ and Conditions\nLanguage: ar\nLast Updated: 2026-04-13", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 30, "language": "English", "was_translated": false, "doc_type": "scholarship", "section_title": "Document Information" }, { "text": "ocument Information\nSource: Teachers' Grant FAQ and Conditions\nLanguage: ar\nLast Updated: 2026-04-13", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 31, "language": "English", "was_translated": false, "doc_type": "scholarship", "section_title": "Document Information" }, { "text": "Search Optimization Text\nنتائج مكرمة المعلمين مسج القبول دفعات", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 32, "language": "Mixed", "was_translated": false, "doc_type": "scholarship", "section_title": "Search Optimization Text" }, { "text": "Main Content\nيتم 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": 33, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "Main Content" }, { "text": "ntent\nيتم 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": 34, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "Main Content" }, { "text": "Metadata\nintent: acceptance_notification\nnotification_method: SMS\nkeywords: رسالة نصية, نتائج القبول, دفعات", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 35, "language": "Mixed", "was_translated": false, "doc_type": "scholarship", "section_title": "Metadata" }, { "text": "a\nintent: acceptance_notification\nnotification_method: SMS\nkeywords: رسالة نصية, نتائج القبول, دفعات", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 36, "language": "Mixed", "was_translated": false, "doc_type": "scholarship", "section_title": "Metadata" }, { "text": "Frequently Asked Questions (Q&A)\nQ: كيف أعرف أنني قُبلت في المكرمة؟\nA: عبر رسالة نصية (SMS).\nShort Answer: عبر رسالة SMS", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 37, "language": "Mixed", "was_translated": false, "doc_type": "scholarship", "section_title": "Frequently Asked Questions (Q&A)" }, { "text": "Document Information\nSource: Teachers' Grant FAQ and Conditions\nLanguage: ar\nLast Updated: 2026-04-13", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 38, "language": "English", "was_translated": false, "doc_type": "scholarship", "section_title": "Document Information" }, { "text": "ocument Information\nSource: Teachers' Grant FAQ and Conditions\nLanguage: ar\nLast Updated: 2026-04-13", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 39, "language": "English", "was_translated": false, "doc_type": "scholarship", "section_title": "Document Information" }, { "text": "Search Optimization Text\nأوراق مكرمة المعلمين كفالة عدلية عقد بعثة استرداد الرسوم", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 40, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "Search Optimization Text" }, { "text": "Main Content\nبعد القبول 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.", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 41, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "Main Content" }, { "text": "لة العدلية. كما يدفع الطالب رسوم الفصل الأول ويتم استردادها لاحقاً. ويمكن تحويل المكرمة مع الطالب عند تغيير التخصص بعد مراجعة مكتب المكرمة في الجامعة.", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 42, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "Main Content" }, { "text": "Metadata\nintent: post_acceptance_procedures\nrequired_documents: عقد البعثة, كفالة عدلية\nkeywords: استرداد الرسوم, تحويل التخصص, كفالة عدلية", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 43, "language": "Mixed", "was_translated": false, "doc_type": "scholarship", "section_title": "Metadata" }, { "text": "Frequently Asked Questions (Q&A)\nQ: ما هي الأوراق المطلوبة بعد القبول؟\nA: عقد البعثة والكفالة العدلية.\nShort Answer: عقد بعثة وكفالة عدلية\nQ: هل يتم استرداد رسوم الفصل الأول؟\nA: نعم، يتم استردادها بنهاية الفصل.\nShort Answer: نعم", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 44, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "Frequently Asked Questions (Q&A)" }, { "text": "البعثة والكفالة العدلية.\nShort Answer: عقد بعثة وكفالة عدلية\nQ: هل يتم استرداد رسوم الفصل الأول؟\nA: نعم، يتم استردادها بنهاية الفصل.\nShort Answer: نعم", "source": "Teachers_Grant_Makruma_Al_Moalimeen_RAG.docx", "chunk_id": 45, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "Frequently Asked Questions (Q&A)" }, { "text": "التقويم الأكاديمي الجامعة الأردنية\nالفصل الثاني 2025 2026\nتم إعداد هذا المستند بصيغة نصية منظمة لتسهيل تحويله إلى JSON واستخدامه في أنظمة الاسترجاع المعزّز بالتوليد (RAG).\nCHUNK 1: معلومات الفصل الحالي\nالعنوان: الفصل الحالي\nالفصل الدراسي: الفصل الثاني 2025 2026\nالمؤسسة: الجامعة الأردنية\nالنوع: التقويم الأكاديمي\nاللغة: العربية\nCHUNK 2: بداية الفصل والإجراءات الأكاديمية\nبدء الدوام الرسمي لأعضاء الهيئة التدريسية في الفصل الثاني 2025/2026\nالتاريخ: 15/02/2026\nاليوم: الأحد\nأسبوع السحب والإضافة\nمن تاريخ: 15/02/2026\nإلى تاريخ: 19/02/2026\nالأيام: الأحد الخميس\nبدء التدريس في الفصل الثاني 2025/2026\nالتاريخ: 22/02/2026\nاليوم: الأحد\nأسبوع الاكتمال\nمن تاريخ: 22/02/2026\nإلى تاريخ: 26/02/2026", "source": "uni_cal.docx", "chunk_id": 1, "language": "Arabic", "was_translated": false, "doc_type": "academic_calendar", "section_title": "" }, { "text": "لأيام: الأحد الخميس\nبدء التدريس في الفصل الثاني 2025/2026\nالتاريخ: 22/02/2026\nاليوم: الأحد\nأسبوع الاكتمال\nمن تاريخ: 22/02/2026\nإلى تاريخ: 26/02/2026\nالأيام: الأحد الخميس\nCHUNK 3: العطل الرسمية خلال الفصل\nعيد الفطر المبارك (تقديراً)\nمن تاريخ: 20/03/2026\nإلى تاريخ: 23/03/2026\nالأيام: الجمعة الاثنين\nعيد العمال\nالتاريخ: 01/05/2026\nاليوم: الجمعة\nعيد الاستقلال\nالتاريخ: 25/05/2026\nاليوم: الاثنين\nعيد الأضحى المبارك (تقديراً)\nمن تاريخ: 26/05/2026\nإلى تاريخ: 30/05/2026\nالأيام: الثلاثاء السبت\nرأس السنة الهجرية (تقديراً)\nالتاريخ: 16/06/2026\nاليوم: الثلاثاء\nCHUNK 4: الامتحانات والتسجيل\nالفترة التي يتم خلالها إجراء امتحان منتصف الفصل الثاني 2025/2026\nمن تاريخ: 12/04/2026\nإلى تاريخ: 23/04/2026", "source": "uni_cal.docx", "chunk_id": 2, "language": "Arabic", "was_translated": false, "doc_type": "academic_calendar", "section_title": "" }, { "text": "وم: الثلاثاء\nCHUNK 4: الامتحانات والتسجيل\nالفترة التي يتم خلالها إجراء امتحان منتصف الفصل الثاني 2025/2026\nمن تاريخ: 12/04/2026\nإلى تاريخ: 23/04/2026\nالأيام: الأحد الخميس\nبدء التسجيل على مواد الفصل الصيفي 2025/2026\nالتاريخ: 26/04/2026\nاليوم: الأحد\nآخر يوم للتدريس في الفصل الثاني 2025/2026\nالتاريخ: 07/06/2026\nاليوم: الأحد\nآخر موعد للانسحاب من دراسة المواد أو من الفصل الدراسي الثاني 2025/2026 (البكالوريوس + الدراسات العليا)\nالتاريخ: 08/06/2026\nاليوم: الاثنين\nالامتحانات النهائية للفصل الثاني 2025/2026\nمن تاريخ: 09/06/2026\nإلى تاريخ: 22/06/2026\nالأيام: الثلاثاء الاثنين\nCHUNK 5: تسليم النتائج ومنح الدرجات\nإجازة ما بين الفصلين للطلبة\nمن تاريخ: 23/06/2026\nإلى تاريخ: 09/07/2026", "source": "uni_cal.docx", "chunk_id": 3, "language": "Arabic", "was_translated": false, "doc_type": "academic_calendar", "section_title": "" }, { "text": "اريخ: 22/06/2026\nالأيام: الثلاثاء الاثنين\nCHUNK 5: تسليم النتائج ومنح الدرجات\nإجازة ما بين الفصلين للطلبة\nمن تاريخ: 23/06/2026\nإلى تاريخ: 09/07/2026\nالأيام: الثلاثاء الخميس\nآخر موعد لتسليم عضو هيئة التدريس نتائج الامتحانات إلى الكلية الساعة الواحدة ظهراً\nالتاريخ: 23/06/2026\nاليوم: الثلاثاء\nآخر موعد لتقديم نتائج امتحانات الفصل الثاني 2025/2026 إلى وحدة القبول والتسجيل الساعة الواحدة ظهراً\nالتاريخ: 24/06/2026\nاليوم: الأربعاء\nآخر موعد لتقديم تنسيب مجالس الكليات بمنح الدرجات العلمية والشهادات إلى مجلس العمداء\nالتاريخ: 24/06/2026\nاليوم: الأربعاء\nقرار مجلس العمداء بمنح الدرجات العلمية والشهادات\nالتاريخ: 29/06/2026\nاليوم: الاثنين\nCHUNK 6: التخرج ونهاية العام الأكاديمي", "source": "uni_cal.docx", "chunk_id": 4, "language": "Arabic", "was_translated": false, "doc_type": "academic_calendar", "section_title": "" }, { "text": "24/06/2026\nاليوم: الأربعاء\nقرار مجلس العمداء بمنح الدرجات العلمية والشهادات\nالتاريخ: 29/06/2026\nاليوم: الاثنين\nCHUNK 6: التخرج ونهاية العام الأكاديمي\nأسبوع التخرج، وعلى جميع أعضاء الهيئة التدريسية حضور حفل تخريج الطلبة خلال أسبوع التخرج\nمن تاريخ: 30/07/2026\nإلى تاريخ: 08/08/2026\nالأيام: الخميس السبت", "source": "uni_cal.docx", "chunk_id": 5, "language": "Arabic", "was_translated": false, "doc_type": "academic_calendar", "section_title": "" }, { "text": "سبوع التخرج، وعلى جميع أعضاء الهيئة التدريسية حضور حفل تخريج الطلبة خلال أسبوع التخرج\nمن تاريخ: 30/07/2026\nإلى تاريخ: 08/08/2026\nالأيام: الخميس السبت", "source": "uni_cal.docx", "chunk_id": 6, "language": "Arabic", "was_translated": false, "doc_type": "academic_calendar", "section_title": "" }, { "text": "University of Jordan IT Faculty Admissions & Fees Guide\nSource: University of Jordan Majors and Fees Guide\nCategory: IT Faculty Admissions & Fees\nPublished Date: 2024\nPrepared for Retrieval-Augmented Generation (RAG) Systems", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 1, "language": "English", "was_translated": false, "doc_type": "admissions_fees", "section_title": "University of Jordan – IT Faculty Admissions & Fees Guide" }, { "text": "lty Admissions & Fees\nPublished Date: 2024\nPrepared for Retrieval-Augmented Generation (RAG) Systems", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 2, "language": "English", "was_translated": false, "doc_type": "admissions_fees", "section_title": "University of Jordan – IT Faculty Admissions & Fees Guide" }, { "text": "Table of Contents\n1. Overview of the IT Faculty\n2. Computer Science (CS) Fees\n3. Computer Information Systems (CIS) Fees\n4. Business Information Technology (BIT) Fees\n5. Data Science (DS) Fees\n6. Artificial Intelligence (AI) Fees\n7. Cyber Security (CYS) Fees", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 3, "language": "English", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Table of Contents" }, { "text": "IT) Fees\n5. Data Science (DS) Fees\n6. Artificial Intelligence (AI) Fees\n7. Cyber Security (CYS) Fees", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 4, "language": "English", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Table of Contents" }, { "text": "IT_101: معلومات عامة: كلية الملك عبد الله الثاني لتكنولوجيا المعلومات (IT)", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 5, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "IT_101: معلومات عامة: كلية الملك عبد الله الثاني لتكنولوجيا المعلومات (IT)" }, { "text": "Search Optimization Text\nكلية الملك عبد الله الثاني لتكنولوجيا المعلومات IT الجامعة الأردنية معدل القبول شروط الساعات تكنولوجيا معلومات", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 6, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Search Optimization Text" }, { "text": "Main Content\nالحد الأدنى لمعدل الثانوية 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": 7, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Main Content" }, { "text": "ول 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": 8, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Main Content" }, { "text": "Metadata\nfaculty: IT\nmajor: All IT Majors\nintent: faculty_overview\nmin_grade_percentage: 65\ncredit_hours: 132\nkeywords: تكنولوجيا المعلومات, كلية الـ IT, معدل القبول, عدد الساعات", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 9, "language": "Mixed", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Metadata" }, { "text": "ercentage: 65\ncredit_hours: 132\nkeywords: تكنولوجيا المعلومات, كلية الـ IT, معدل القبول, عدد الساعات", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 10, "language": "Mixed", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Metadata" }, { "text": "Frequently Asked Questions (Q&A)\nQ: كم الحد الأدنى للقبول في تخصصات كلية تكنولوجيا المعلومات؟\nA: الحد الأدنى للقبول في جميع تخصصات الكلية هو 65%.\nQ: كم عدد الساعات المطلوبة لتخرج طالب الـ IT؟\nA: عدد الساعات لجميع تخصصات تكنولوجيا المعلومات هو 132 ساعة معتمدة.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 11, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Frequently Asked Questions (Q&A)" }, { "text": "للقبول في جميع تخصصات الكلية هو 65%.\nQ: كم عدد الساعات المطلوبة لتخرج طالب الـ IT؟\nA: عدد الساعات لجميع تخصصات تكنولوجيا المعلومات هو 132 ساعة معتمدة.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 12, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Frequently Asked Questions (Q&A)" }, { "text": "Search Optimization Text\nرسوم علم الحاسوب الجامعة الأردنية CS fees Jordan University تنافس عادي موازي دولي سعر الساعة", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 13, "language": "Mixed", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Search Optimization Text" }, { "text": "Main Content\nرسوم 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": 14, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Main Content" }, { "text": "لم 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": 15, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Main Content" }, { "text": "Metadata\nfaculty: IT\nmajor: Computer Science\nmajor_code: CS\nintent: major_fees\nstructured_fees:\n- regular_jod: 47\n- parallel_jordanian_jod: 90\n- parallel_non_jordanian_jod: 120\n- international_usd: 190\nkeywords: علم الحاسوب, Computer Science, رسوم, CS", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 16, "language": "English", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Metadata" }, { "text": "el_non_jordanian_jod: 120\n- international_usd: 190\nkeywords: علم الحاسوب, Computer Science, رسوم, CS", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 17, "language": "Mixed", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Metadata" }, { "text": "Frequently Asked Questions (Q&A)\nQ: كم سعر ساعة علم الحاسوب تنافس (عادي)؟\nA: سعر ساعة علم الحاسوب للبرنامج العادي هو 47 دينار.\nQ: كم رسوم ساعة علم الحاسوب موازي أردني؟\nA: سعر ساعة الموازي لتخصص علم الحاسوب للشهادة الأردنية هو 90 دينار.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 18, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Frequently Asked Questions (Q&A)" }, { "text": "علم الحاسوب للبرنامج العادي هو 47 دينار.\nQ: كم رسوم ساعة علم الحاسوب موازي أردني؟\nA: سعر ساعة الموازي لتخصص علم الحاسوب للشهادة الأردنية هو 90 دينار.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 19, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Frequently Asked Questions (Q&A)" }, { "text": "Search Optimization Text\nرسوم أنظمة المعلومات الحاسوبية الجامعة الأردنية CIS fees Jordan University تنافس عادي موازي دولي سعر الساعة", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 20, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Search Optimization Text" }, { "text": "Main Content\nرسوم 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": 21, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Main Content" }, { "text": "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": 22, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Main Content" }, { "text": "Metadata\nfaculty: IT\nmajor: Computer Information Systems\nmajor_code: CIS\nintent: major_fees\nstructured_fees:\n- regular_jod: 47\n- parallel_jordanian_jod: 90\n- parallel_non_jordanian_jod: 120\n- international_usd: 190\nkeywords: أنظمة المعلومات الحاسوبية, CIS, رسوم", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 23, "language": "Mixed", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Metadata" }, { "text": "allel_non_jordanian_jod: 120\n- international_usd: 190\nkeywords: أنظمة المعلومات الحاسوبية, CIS, رسوم", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 24, "language": "Mixed", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Metadata" }, { "text": "Frequently Asked Questions (Q&A)\nQ: كم رسوم تخصص أنظمة المعلومات الحاسوبية للبرنامج الدولي؟\nA: رسوم البرنامج الدولي لتخصص أنظمة المعلومات الحاسوبية هي 190 دولار للساعة.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 25, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Frequently Asked Questions (Q&A)" }, { "text": "uestions (Q&A)\nQ: كم رسوم تخصص أنظمة المعلومات الحاسوبية للبرنامج الدولي؟\nA: رسوم البرنامج الدولي لتخصص أنظمة المعلومات الحاسوبية هي 190 دولار للساعة.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 26, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Frequently Asked Questions (Q&A)" }, { "text": "Search Optimization Text\nرسوم تكنولوجيا معلومات الأعمال الجامعة الأردنية BIT fees Jordan University تنافس عادي موازي دولي سعر الساعة", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 27, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Search Optimization Text" }, { "text": "Main Content\nرسوم 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": 28, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Main Content" }, { "text": "ات 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": 29, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Main Content" }, { "text": "Metadata\nfaculty: IT\nmajor: Business Information Technology\nmajor_code: BIT\nintent: major_fees\nstructured_fees:\n- regular_jod: 60\n- parallel_jordanian_jod: 90\n- parallel_non_jordanian_jod: 120\n- international_usd: 190\nkeywords: تكنولوجيا معلومات الأعمال, BIT, رسوم", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 30, "language": "Mixed", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Metadata" }, { "text": "allel_non_jordanian_jod: 120\n- international_usd: 190\nkeywords: تكنولوجيا معلومات الأعمال, BIT, رسوم", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 31, "language": "Mixed", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Metadata" }, { "text": "Frequently Asked Questions (Q&A)\nQ: كم سعر ساعة تكنولوجيا معلومات الأعمال في البرنامج العادي؟\nA: سعر ساعة تكنولوجيا معلومات الأعمال للبرنامج العادي هو 60 دينار.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 32, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Frequently Asked Questions (Q&A)" }, { "text": "Asked Questions (Q&A)\nQ: كم سعر ساعة تكنولوجيا معلومات الأعمال في البرنامج العادي؟\nA: سعر ساعة تكنولوجيا معلومات الأعمال للبرنامج العادي هو 60 دينار.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 33, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Frequently Asked Questions (Q&A)" }, { "text": "Search Optimization Text\nرسوم علم البيانات الجامعة الأردنية Data Science fees Jordan University داتا تنافس عادي موازي دولي سعر الساعة", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 34, "language": "Mixed", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Search Optimization Text" }, { "text": "Main Content\nرسوم 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": 35, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Main Content" }, { "text": "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": 36, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Main Content" }, { "text": "Metadata\nfaculty: IT\nmajor: Data Science\nmajor_code: DS\nintent: major_fees\nstructured_fees:\n- regular_jod: 70\n- parallel_jordanian_jod: 100\n- parallel_non_jordanian_jod: 120\n- international_usd: 215\nkeywords: علم البيانات, Data Science, رسوم, داتا", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 37, "language": "Mixed", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Metadata" }, { "text": "lel_non_jordanian_jod: 120\n- international_usd: 215\nkeywords: علم البيانات, Data Science, رسوم, داتا", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 38, "language": "Mixed", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Metadata" }, { "text": "Frequently Asked Questions (Q&A)\nQ: كم رسوم ساعة علم البيانات موازي للشهادة الأردنية؟\nA: رسوم ساعة علم البيانات للموازي (شهادة أردنية) هي 100 دينار.\nQ: كم سعر ساعة علم البيانات تنافس؟\nA: سعر ساعة علم البيانات للبرنامج العادي (تنافس) هو 70 دينار.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 39, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Frequently Asked Questions (Q&A)" }, { "text": "اعة علم البيانات للموازي (شهادة أردنية) هي 100 دينار.\nQ: كم سعر ساعة علم البيانات تنافس؟\nA: سعر ساعة علم البيانات للبرنامج العادي (تنافس) هو 70 دينار.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 40, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Frequently Asked Questions (Q&A)" }, { "text": "IT_106: تخصص الذكاء الاصطناعي (Artificial Intelligence) - رسوم الساعات", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 41, "language": "Mixed", "was_translated": false, "doc_type": "admissions_fees", "section_title": "IT_106: تخصص الذكاء الاصطناعي (Artificial Intelligence) - رسوم الساعات" }, { "text": "Search Optimization Text\nرسوم الذكاء الاصطناعي الجامعة الأردنية AI fees Jordan University تنافس عادي موازي دولي سعر الساعة", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 42, "language": "Mixed", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Search Optimization Text" }, { "text": "Main Content\nرسوم 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": 43, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Main Content" }, { "text": "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": 44, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Main Content" }, { "text": "Metadata\nfaculty: IT\nmajor: Artificial Intelligence\nmajor_code: AI\nintent: major_fees\nstructured_fees:\n- regular_jod: 70\n- parallel_jordanian_jod: 100\n- parallel_non_jordanian_jod: 120\n- international_usd: 215\nkeywords: الذكاء الاصطناعي, AI, رسوم", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 45, "language": "Mixed", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Metadata" }, { "text": "100\n- parallel_non_jordanian_jod: 120\n- international_usd: 215\nkeywords: الذكاء الاصطناعي, AI, رسوم", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 46, "language": "Mixed", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Metadata" }, { "text": "Frequently Asked Questions (Q&A)\nQ: كم تبلغ رسوم تخصص الذكاء الاصطناعي للبرنامج الدولي؟\nA: تبلغ رسوم ساعة الذكاء الاصطناعي للبرنامج الدولي 215 دولار.\nQ: كم سعر ساعة الذكاء الاصطناعي عادي (تنافس)؟\nA: سعر ساعة الذكاء الاصطناعي للبرنامج العادي هو 70 دينار.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 47, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Frequently Asked Questions (Q&A)" }, { "text": "عة الذكاء الاصطناعي للبرنامج الدولي 215 دولار.\nQ: كم سعر ساعة الذكاء الاصطناعي عادي (تنافس)؟\nA: سعر ساعة الذكاء الاصطناعي للبرنامج العادي هو 70 دينار.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 48, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Frequently Asked Questions (Q&A)" }, { "text": "IT_107: تخصص الأمن السيبراني (Cyber Security) - رسوم الساعات", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 49, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "IT_107: تخصص الأمن السيبراني (Cyber Security) - رسوم الساعات" }, { "text": "Search Optimization Text\nرسوم الأمن السيبراني الجامعة الأردنية Cyber Security fees Jordan University سيبراني تنافس عادي موازي دولي سعر الساعة", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 50, "language": "Mixed", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Search Optimization Text" }, { "text": "Main Content\nرسوم 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 الدولي.", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 51, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Main Content" }, { "text": "السيبراني في الجامعة الأردنية: 60 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": 52, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Main Content" }, { "text": "Metadata\nfaculty: IT\nmajor: Cyber Security\nmajor_code: CYS\nintent: major_fees\nstructured_fees:\n- regular_jod: 60\n- parallel_jordanian_jod: 100\n- parallel_non_jordanian_jod: 120\n- international_usd: 215\nkeywords: الأمن السيبراني, Cyber Security, رسوم, سيبراني", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 53, "language": "Mixed", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Metadata" }, { "text": "jordanian_jod: 120\n- international_usd: 215\nkeywords: الأمن السيبراني, Cyber Security, رسوم, سيبراني", "source": "University_of_Jordan_IT_Faculty_Admissions_Fees_RAG.docx", "chunk_id": 54, "language": "Mixed", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Metadata" }, { "text": "Frequently Asked Questions (Q&A)\nQ: كم سعر ساعة الأمن السيبراني في البرنامج العادي والموازي؟\nA: 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": 55, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Frequently Asked Questions (Q&A)" }, { "text": "ساعة الأمن السيبراني في البرنامج العادي والموازي؟\nA: 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": 56, "language": "Arabic", "was_translated": false, "doc_type": "admissions_fees", "section_title": "Frequently Asked Questions (Q&A)" }, { "text": "أسس معاملة الطلبة المتميزين من البرنامج الموازي من حيث رسوم الساعات المعتمدة معاملة البرنامج التنافسي\nصادرة مجلس الأمناء بموجب قراره رقم  (26/2017 )  تاريخ 13/2/2017\nبالاستناد إلى البند (ثانياً/2) من قرار مجلس الأمناء في جلسته رقم (7/2016) تاريخ 6/4/2016\n \nالمادة (1): تسمى هذه الأسس( أسس معاملة الطلبة المتميزين من البرنامج الموازي من حيث رسوم الساعات المعتمدة معاملة البرنامج التنافسي)،وتطبق على البرنامج الموازي اعتباراً من نهاية الفصل الثاني 2016/2017 .\n \nالمادة (2): يكون للكلمات والعبارات التالية المعاني المبينة ازاء كل منها مالم تدل القرينة على خلاف ذلك:\nالجامعة:             الجامعة الأردنية.\nالمجلس:            مجلس أمناء الجامعة\nالرئيس:             رئيس الجامعة.\nالكلية :              أي كلية من كليات الجامعة.\nالطالب:              الطالب الأردني من طلبة البكالوريوس المقبول في الجامعة     \n                        على البرنامج الموازي.\nمعدل التخصص: معدل الطالب في المواد الداخلة في خطته الدراسية باستثناء متطلبات الجامعة والمواد الحرة.\n                       * (2) (*)       معدل الطالب في المواد الداخلة في خطته الدراسية باستثناء متطلبات الجامعة والمواد الحرة التي لا تقل عن ثلاث مواد تخصص في الفصل\nالمادة (3):  تطبق هذه الأسس على الطالب في حال توافر الشرطين التاليين :\nأ .     أن يكون الطالب قد اتم دراسة فصلين دراسيين في الجامعة  باستثناء طلبة الطب وطب الأسنان ودكتور صيدله فيجب أن يكون الطالب قد أنهى دراسة السنة الثانية.\nب. ان لا يكون الطالب قد اوقعت بحقه إي عقوبة تأديبية وفق التشريعات النافذة،    \n     وغير محكوم  بجناية أو بجنحة مخلة بالشرف والأخلاق والآداب العامة.\n  \nالمادة(4):  مع مراعاة المادة (3) مع هذه الأسس يعامل الطالب المتميز في التخصص الذي قبل فيه من البرنامج الموازي من حيث رسوم الساعات المعتمدة معاملة البرنامج التنافسي.\n \n(1)المادة (5): يشترط لاستفادة الطالب من هذه الأسس ما يلي :-\nأ -   أن يكون مسجلاً ومنتظماً في الفصل الدراسي وبعدد ساعات لا يقل عن (15) ساعة معتمدة، ويستثنى من ذلك الطالب في كلية الطب أو كلية طب الأسنان، إذ يشترط أن يكون مسجلاً لكامل الساعات الدراسية للسنة الدراسية الوارد في الخطة الدراسية ومنتظماً فيها.\nب- (3)  أن لا يقل معدل الطالب عن (3.9) نقطة من (4.0) نقطة،  لجميع التخصصات. \n \nالمادة (6): أ-     تطبق هذه الأسس على أساس فصلي على طلبة جميع التخصصات باستثناء طلبة تخصصي الطب وطب الأسنان فتطبق عليهم على أساس سنوي.\nب -             يدفع فرق الرسوم بشكل رديات للطالب المستفيد بعد انتهاء الفصل الدراسي او السنة الدراسية حسب مقتضى الحال.\n \nالمادة (7):   توقف استفادة الطالب من هذه الأسس إذا أحيل إلى إي من لجان التحقيق او المجالس التأديبية في الجامعة او إلى الجهات القضائية لحين البت في موضوعه بصورة نهائية.\n \nالمادة (8):  يستثنى من هذه الأسس طلبة الموازي من أبناء العاملين في الجامعات    الرسمية والطلبة المنتقلين من البرنامج العادي إلى البرنامج الموازي، والطلبة الدارسين كلياً أو جزئياً على حساب إي جهة أخرى.\n \n   المادة (9):    يبت المجلس  في الحالات التي لم يرد عليها نص في هذه الأسس .", "source": "أسس معاملة الطلبة المتميزين من البرنامج الموازي من حيث الرسوم معاملة البرنامج التنافسي.docx", "chunk_id": 1, "language": "Arabic", "was_translated": false, "doc_type": "general", "section_title": "" }, { "text": "(1) عدلت بموجب قرار مجلس الأمناء رقم (2019/70) تاريخ 2019/4/10.\n(2) عدلت بموجب قرار مجلس الأمناء رقم (46/2021) تاريخ 23/3/2021 على أن يطبق هذا التعديل اعتباراً من بدء الفصل الثاني 2020/2021.\n (3) عدلت الفقرة ب من المادة 5 بموجب قرار مجلس الأمناء 182/2024 المتخذ في جلسته رقم 11/2024 تاريخ 28/11/2024 وعدل القرار المشار اليه أعلاه في جلسته رقم 2/2025 تاريخ 25/2/2025 بتطبيق القرار على الطلبة المتميزين اعتبارا من بدء العام الجامعي 2026/2025.\n(*) عدل بموجب قرارمجلس الأمناء رقم (224/2021) تاريخ 10/11/2021 على النحو التالي:\nلاحقاً لقرار المجلس رقم (46/2021) تاريخ 23/3/2021، المتضمن تعديل عبارة (معدل التخصص) الوارد في  المادة (2) من \"أسس معاملة الطلبة المتميزين من البرنامج الموازي من حيث رسوم الساعات المعتمدة معاملة البرنامج التنافسي\"،يقرر المجلس الموافقة على توصيات اللجنة المشكلة بكتابهم رقم 1/2021/1572تاريخ 7/11/2021، وذلك على النحو الآتي:-\n1-  يُطبق قرار المجلس رقم (46/2021) تاريخ 23/3/2021، اعتباراً من بدء الفصل الصيفي 2020/2021.\n2-  عدم شمول الطلبة الذين كانوا قد سجلوا على الفصل الثاني 2020/2021 من اشتراط أن لا تقل المواد عن ثلاث مواد تخصص في الفصل، وأن يصار إلى صرف الرديات للطلبة كما كان الحال عليه في الفصل الأول من العام الجامعي 2020/2021.\n3-  الاعتذار للطلبة عن طلبهم بإعادة الحال إلى ما كان عليه، وعدم اشتراط أن لا يقل عدد المواد عن ثلاث مواد تخصص، حيث إن التعديل تم حسب الأصول.", "source": "أسس معاملة الطلبة المتميزين من البرنامج الموازي من حيث الرسوم معاملة البرنامج التنافسي.docx", "chunk_id": 2, "language": "Arabic", "was_translated": false, "doc_type": "general", "section_title": "" }, { "text": "مقدمة عامة\nتُعدّ 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). ويستعرض هذا الدليل تفاصيل كل مكرمة من حيث الشروط، وآليات التقديم، والمزايا، والتعليمات الخاصة بها، بأسلوب دقيق ومنهجي يصلح للاستخدام في أنظمة الذكاء الاصطناعي.\n أولًا: مكرمة المعلمين\n التعريف بمكرمة المعلمين", "source": "المكرمات الثلاث.docx", "chunk_id": 1, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "" }, { "text": "قديم، والمزايا، والتعليمات الخاصة بها، بأسلوب دقيق ومنهجي يصلح للاستخدام في أنظمة الذكاء الاصطناعي.\n أولًا: مكرمة المعلمين\n التعريف بمكرمة المعلمين\nمكرمة المعلمين 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.\n نسبة المقاعد وآلية التوزيع\nتُخصص 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": 2, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "" }, { "text": "يع هذه النسبة بين المحافظات وفقًا لعدد المتقدمين من كل محافظة مقارنةً بإجمالي عدد المتقدمين في المملكة، مما يضمن تحقيق العدالة في التنافس بين الطلبة.\n الفئات المستفيدة من المكرمة\nيستفيد من مكرمة المعلمين الطلبة الذين تتوفر فيهم الشروط التالية:\nأن يكون أحد الوالدين أو كلاهما موظفًا في وزارة التربية والتعليم.\nأن لا تقل مدة خدمة ولي الأمر عن خمس سنوات.\nأن لا يتجاوز عمر الطالب 21 عامًا في سنة التقديم.\nأن يكون الطالب مستوفيًا لشروط القبول في الجامعات الأردنية.\n آلية التقديم\nلا 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": 3, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "" }, { "text": "تقديم 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. 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.\n المزايا التي تقدمها مكرمة المعلمين\nتغطية رسوم الساعات المعتمدة ضمن الخطة الدراسية للتخصص.\nتقديم مكافأة فصلية للطالب المستفيد.\nتوفير دعم مالي يساهم في استقرار الطالب أكاديميًا.\n قيمة المكافآت الفصلية\n100 دينار أردني للفصل الأول.\n80 دينارًا أردنيًا للفصل الثاني.\n20 دينارًا أردنيًا للفصل الصيفي.\n ملاحظات وتعليمات هامة\nيتم إعلان نتائج القبول ضمن قائمة القبول الموحد وعلى دفعات.", "source": "المكرمات الثلاث.docx", "chunk_id": 4, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "" }, { "text": "80 دينارًا أردنيًا للفصل الثاني.\n20 دينارًا أردنيًا للفصل الصيفي.\n ملاحظات وتعليمات هامة\nيتم إعلان نتائج القبول ضمن قائمة القبول الموحد وعلى دفعات.\nيدفع الطالب رسوم التسجيل والساعات للفصل الأول، ثم تُسترد رسوم الساعات بعد تأكيد القبول في المكرمة.\nيتوفر في كل جامعة ضابط ارتباط خاص بمكرمة المعلمين.\nتغطي المكرمة عدد الساعات المحددة في الخطة الدراسية فقط.\nيتحمل الطالب رسوم الساعات الزائدة أو المواد المعادة.\nيتطلب تغيير التخصص أو الجامعة مراجعة مكتب الارتباط.\nفي حال الانسحاب من الدراسة، تُسترد المبالغ المصروفة من الطالب أو ولي أمره.\n ثانيًا: مكرمة القوات المسلحة الأردنية (مكرمة الجيش)\n التعريف بمكرمة الجيش", "source": "المكرمات الثلاث.docx", "chunk_id": 5, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "" }, { "text": "حال الانسحاب من الدراسة، تُسترد المبالغ المصروفة من الطالب أو ولي أمره.\n ثانيًا: مكرمة القوات المسلحة الأردنية (مكرمة الجيش)\n التعريف بمكرمة الجيش\nمكرمة القوات المسلحة الأردنية هي منحة دراسية مخصصة 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.\n نسبة المقاعد وآلية التنافس\nتُخصص نسبة 20% من المقاعد الجامعية الحكومية للمستفيدين من مكرمة الجيش، ويتم التنافس عليها ضمن المحافظة الواحدة بناءً على مكان ولادة ولي الأمر.\n الفئات المستفيدة\nتشمل المكرمة أبناء العاملين والمتقاعدين في:\nالقوات المسلحة الأردنية.\nمديرية الأمن العام.\nالدفاع المدني.", "source": "المكرمات الثلاث.docx", "chunk_id": 6, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "" }, { "text": "على مكان ولادة ولي الأمر.\n الفئات المستفيدة\nتشمل المكرمة أبناء العاملين والمتقاعدين في:\nالقوات المسلحة الأردنية.\nمديرية الأمن العام.\nالدفاع المدني.\nدائرة المخابرات العامة.\nقوات الدرك.\n شروط الاستفادة من المكرمة\nأن يكون الطالب أردني الجنسية.\nالحصول على شهادة الثانوية العامة للسنة نفسها.\nتحقيق الحد الأدنى لمعدل القبول الموحد.\nعدم الاستفادة من منحة أو بعثة أخرى.\nألا يتجاوز عمر الطالب 21 عامًا.\nألا يكون موظفًا في جهة حكومية.\n آلية التقديم\nيتم التقديم من خلال نظام القبول الموحد، حيث يختار الطالب الاستفادة من مكرمة الجيش أثناء تعبئة الطلب الإلكتروني.\n ميزات مكرمة الجيش\nتغطية رسوم الساعات الدراسية كاملة.\nتقديم راتب شهري بقيمة 20 دينارًا أردنيًا.", "source": "المكرمات الثلاث.docx", "chunk_id": 7, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "" }, { "text": "استفادة من مكرمة الجيش أثناء تعبئة الطلب الإلكتروني.\n ميزات مكرمة الجيش\nتغطية رسوم الساعات الدراسية كاملة.\nتقديم راتب شهري بقيمة 20 دينارًا أردنيًا.\nإتاحة فرصة الحصول على تخصصات تنافسية وفق نظام خاص.\n الاعتراض على نتائج المكرمة\nيمكن للطالب تقديم اعتراض إلكتروني بعد إعلان النتائج، حيث يختار ثلاثة تخصصات أعلى من معدله، وتصدر النتائج خلال أسبوعين وفق الشواغر المتاحة.\n ملاحظات هامة\nلا ترفع المكرمة معدل الطالب، وإنما تغيّر آلية التنافس.\nالتقديم يكون سنويًا ولا يشمل الدورة التكميلية.\nيمكن التقديم لأكثر من مكرمة، ولكن يتم اعتماد واحدة فقط.\n ثالثًا: مكرمة أبناء الشهداء والمصابين العسكريين (مكرمة الجسيم)\n التعريف بالمكرمة", "source": "المكرمات الثلاث.docx", "chunk_id": 8, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "" }, { "text": "لتكميلية.\nيمكن التقديم لأكثر من مكرمة، ولكن يتم اعتماد واحدة فقط.\n ثالثًا: مكرمة أبناء الشهداء والمصابين العسكريين (مكرمة الجسيم)\n التعريف بالمكرمة\nمكرمة 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.\n الفئات المستفيدة\nأبناء الشهداء العسكريين.\nأبناء المصابين العسكريين بنسبة عجز لا تقل عن 40%.\n مزايا مكرمة الجسيم\nالدراسة في الجامعات الحكومية على نظام الموازي مع تغطية كافة الرسوم.\nشمول رسوم التسجيل والساعات الدراسية.\nاسترداد الرسوم المدفوعة في الفصل الأول.\nإمكانية الاستفادة من المكرمة في الدراسات العليا.\nاستمرار المكرمة حتى سن الثلاثين.\nعدم تأثرها بزواج الطالب أو الطالبة.", "source": "المكرمات الثلاث.docx", "chunk_id": 9, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "" }, { "text": "الرسوم المدفوعة في الفصل الأول.\nإمكانية الاستفادة من المكرمة في الدراسات العليا.\nاستمرار المكرمة حتى سن الثلاثين.\nعدم تأثرها بزواج الطالب أو الطالبة.\n آلية التقديم\nتتم عملية التقديم وفق الخطوات التالية:\nالحصول على قبول في برنامج الموازي بإحدى الجامعات الحكومية.\nتجهيز الوثائق المطلوبة، وتشمل:\nإثبات القبول الجامعي.\nوثيقة إصابة ولي الأمر بنسبة عجز 40% فأكثر.\nمراجعة مكتب الثقافة العسكرية.\nإرسال كتاب رسمي من القيادة العامة إلى الجامعة لتحويل القبول من الموازي إلى المكرمة.\n ملاحظات هامة\nلا تُلغى المكرمة عند تغيير التخصص.\nتشمل الدراسات العليا (الماجستير والدكتوراه).\nفي حال الرسوب بمادة، تُعامل الرسوم معاملة الطالب الموازي.\n مقارنة شاملة بين المكارم الملكية", "source": "المكرمات الثلاث.docx", "chunk_id": 10, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "" }, { "text": "غيير التخصص.\nتشمل الدراسات العليا (الماجستير والدكتوراه).\nفي حال الرسوب بمادة، تُعامل الرسوم معاملة الطالب الموازي.\n مقارنة شاملة بين المكارم الملكية", "source": "المكرمات الثلاث.docx", "chunk_id": 11, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "" }, { "text": "المعيار: الفئة المستفيدة | مكرمة المعلمين: أبناء المعلمين | مكرمة الجيش: أبناء العسكريين | مكرمة الجسيم: أبناء الشهداء والمصابين", "source": "المكرمات الثلاث.docx", "chunk_id": 12, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "" }, { "text": "المعيار: نسبة المقاعد | مكرمة المعلمين: 10% | مكرمة الجيش: 20% | مكرمة الجسيم: غير محددة", "source": "المكرمات الثلاث.docx", "chunk_id": 13, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "" }, { "text": "المعيار: التنافس | مكرمة المعلمين: حسب المحافظة | مكرمة الجيش: حسب محافظة ولي الأمر | مكرمة الجسيم: لا يعتمد على التنافس", "source": "المكرمات الثلاث.docx", "chunk_id": 14, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "" }, { "text": "المعيار: الحد الأقصى للعمر | مكرمة المعلمين: 21 سنة | مكرمة الجيش: 30 سنة", "source": "المكرمات الثلاث.docx", "chunk_id": 15, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "" }, { "text": "المعيار: راتب شهري | مكرمة المعلمين: مكافأة فصلية | مكرمة الجيش: 20 دينارًا شهريًا | مكرمة الجسيم: لا يوجد", "source": "المكرمات الثلاث.docx", "chunk_id": 16, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "" }, { "text": "المعيار: الدراسات العليا | مكرمة المعلمين: لا | مكرمة الجيش: نعم", "source": "المكرمات الثلاث.docx", "chunk_id": 17, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "" }, { "text": "المعيار: نظام القبول | مكرمة المعلمين: موحد | مكرمة الجيش: موازي مدعوم", "source": "المكرمات الثلاث.docx", "chunk_id": 18, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "" }, { "text": "أسئلة شائعة (FAQ)\nما عدد أنواع المكارم الملكية في الأردن؟\nتوجد ثلاثة أنواع رئيسية: مكرمة المعلمين، ومكرمة القوات المسلحة الأردنية، ومكرمة أبناء الشهداء والمصابين العسكريين.\nهل يمكن الجمع بين أكثر من مكرمة؟\nيمكن التقديم لأكثر من مكرمة، لكن لا يُسمح بالاستفادة إلا من واحدة فقط.\nهل تغطي المكارم الساعات الزائدة؟\nلا، يتحمل الطالب رسوم أي ساعات إضافية أو مواد معادة.\nهل تؤثر المكرمة على معدل القبول؟\nلا ترفع المكرمة المعدل، لكنها تغيّر آلية التنافس.", "source": "المكرمات الثلاث.docx", "chunk_id": 19, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "" }, { "text": "ساعات الزائدة؟\nلا، يتحمل الطالب رسوم أي ساعات إضافية أو مواد معادة.\nهل تؤثر المكرمة على معدل القبول؟\nلا ترفع المكرمة المعدل، لكنها تغيّر آلية التنافس.", "source": "المكرمات الثلاث.docx", "chunk_id": 20, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "" }, { "text": "تعليمات عمليات التسجيل والسحب والإضافة في الجامعة الأردنية\nصادرة عن مجلس العمداء بقراره رقم (266/2005) تاريخ 22/8/2005\nاستناداً إلى نص المادة (12) من قانون الجامعات الأردنية\n \nالمادة ( 1 ):-   تسُمى هذه التعليمات \" تعليمات عمليات السحب والإضافة في الجامعة الأردنية\"، ويعمل بها اعتباراً من تاريخ إصدارها.\nالمادة ( 2 ):-   يكون للكلمات والعبارات التالية المعاني المحددة لها فيما يلي إلا إذا دلت القرينة على خلاف ذلك.\nفترة التسجيل :           هي الفترة المحددة في التقويم الجامعي لقيام الطلبة بتسجيل مواد الفصل الدراسي خلالها، وتحدد وحدة القبول والتسجيل موعداً لكل طالب لإجراء هذه العملية.\nفترة السحب والإضافة:  هي الفترة المحددة في التقويم الجامعي لقيام الطلبة بسحب أو إضافة بعض المواد للفصل الدراسي، وتحدد وحدة القبول والتسجيل موعداً لكل طالب لإجراء هذه العملية.\nالمادة ( 3 ):-   أ -    لا يجوز طرح مواد جديدة بعد بدء فترة التسجيل إلا في حالات اضطرارية يقدرها نائب الرئيس المختص.\nب -     لا يجوز تغيير المواعيد المعلنة لتدريس المواد إلا بقرار من عميد الكلية بعد أخذ رأي مدير وحدة القبول والتسجيل.\nج -     تحدد أسماء أعضاء الهيئة التدريسية المكلفين بتدريس المواد المطروحة عند إعداد الجدول الدراسي، ولا يجوز تعديل هذه الأسماء إلا في حالات اضطرارية يقدرها عميد الكلية ويوافق عليها.\nد -      يقفل باب الانتقال من كلية إلى أخرى أو من تخصص إلى آخر مع بداية فترة السحب والإضافة.\nالمادة ( 4 ):-     أ -     تحدد أعداد الطلبة الذين يُسمح لهم بالتسجيل لدراسة أي مادة وفق سياسة عامة يضعها مجلس العمداء.\nب -     يجوز بموافقة نائب الرئيس المختص بناءً على تنسيب من عميد الكلية التي تدرس المادة أن يقل عدد الطلبة المسجلين في المادة عن الحد الأدنى الذي يقره مجلس العمداء إذا اقتضت الضرورة لذلك.\nج (1)  في الحالات الاضطرارية وبموافقة رئيس القسم المختص بتدريس المادة يُسمح للطالب بتسجيل مادة مغلقة ( استكمال تسجيل الحد الأعلى المقرر)، حسب نموذج تعده وحدة القبول والتسجيل ، على أن لا يتجاوز ذلك السعة المقررة للقاعة التدريسية المخصصة للمادة.\nالمادة ( 5 ):-   تقوم وحدة الشؤون المالية بإلغاء تسجيل الطالب الذي لا يقوم بدفع الرسوم الجامعية المقررة بعد مرور أسبوع واحد على تاريخ موعد تسجيله.\nالمادة ( 6 ):-     أ -     يجوز تخصيص موعد جديد ولمرة ثانية مجاناً للطالب الذي لم يتمكن من التسجيل أو السحب والإضافة في الموعد الأول المعلن له.\nب -     يستوفى مبلغ (5) خمسة دنانير تدفع مسبقاً عن كل مرة بعد المرة الثانية، من الطالب الذي يرغب في تخصيص موعد جديد لإجراء عملية تسجيله في فترة التسجيل أو في تخصيص موعد جديد لإجراء عملية سحب وإضافة في فترة السحب والإضافة.\nج -     يستوفى مبلغ (15) خمسة عشر ديناراً إضافية للرسوم المقررة من كل طالب يسمح له بالتسجيل لمواد الفصل الدراسي بعد انتهاء فترة التسجيل، وقبل بدء الفصل الدراسي، ويستثنى من دفع هذا المبلغ الطالب الذي تنطبق عليه إحدى الحالات التالية:-\n1-     إذا كان من المتوقع تخرجه في الفصل الدراسي العادي السابق ولم يحقق متطلبات التخرج.\n2-     إذا كان مؤجلاً للفصل الدراسي العادي السابق.\n3-     إذا مُنع من التسجيل في الفترة المخصصة لهذه العملية، وكان هذا المنع من جهـــــــــــــــــات\n         مختصة في الجامعة أو لظروف قاهرة ليس مسؤولاً عنها مباشرة.\nالمادة ( 7 ):-   تحُال الحالات التي لم يرد عليها نص في هذه التعليمات إلى رئيس الجامعة للبت فيها.\nالمادة ( 8 ):-   تلغي هذه التعليمات \" تعليمات السحب والإضافة في الجامعة الأردنية\" الصادرة عن رئيس الجامعة بقراره رقم 10/1/22620 تاريخ 31/12/1990 وتعديلاتها.\nالمادة (9):-     رئيس الجامعة وعمداء الكليات ومدير الشؤون المالية ومدير القبول والتسجيل مسؤولون عن تنفيذ هذه التعليمات.", "source": "تعليمات عمليات التسجيل والسحب والإضافة في الجامعة الأردنية.docx", "chunk_id": 1, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "(1) معدله بقرار مجلس العمداء رقم (310/2007) تاريخ 10/9/2007.", "source": "تعليمات عمليات التسجيل والسحب والإضافة في الجامعة الأردنية.docx", "chunk_id": 2, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية\nصادرة بقرار من مجلس العمداء رقم (91/2005) تاريخ 25/4/2005\nالمادة ( 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.\nالمادة ( 2 ):-  يحدد مجلس العمداء قبل بداية كل عام جامعي أعداد الطلبة الذين سيتم قبولهم في البرنامج الموازي في كل كلية / تخصص.\nالمادة ( 3 ):-  يقبل الطالب في البرنامج الموازي، إذا توافرت فيه الشروط التالية:-\nأ -       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": 1, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "الشروط التالية:-\nأ -       أن يكون حاصلا ً على شهادة الدراسة الثانوية العامة الأردنية أو ما يعادلها بشهادة صادرة عن وزارة التربية والتعليم الأردنية.\nب -     يجوز قبول الطالب الحاصل على شهادة دراسة ثانوية أجنبية غير معادلة من وزارة التربية والتعليم  الأردنية، إذا أبرز ما يلي :-\n-        شهادة معادلة صادرة عن الجهات المختصة في البلد الذي حصل منه على هذه الشهادة.\n-        أو حصل على رسالة قبول من جامعة معترف بها حسب قيود وزارة التعليم العالي والبحث العلمي الأردنية.\nج -     أن تكون شهادة الدراسة الثانوية التي يحملها الطالب من فرع يؤهله للالتحاق بالكلية/ التخصص المتقدم إليه، وذلك على النحو التالي:-\n-        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": 2, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "هله للالتحاق بالكلية/ التخصص المتقدم إليه، وذلك على النحو التالي:-\n-        شهادة الدراسة الثانوية / الفرع العلمي: مقبولة في جميع الكليات / التخصصات.\n-        شهادة الدراسة الثانوية/ الفرع الأدبي: مقبولة في الكليات الإنسانية: الآداب، إدارة الأعمال، الشريعة، العلوم التربوية، الحقوق، التربية الرياضية، العلوم الاجتماعية والإنسانية، الفنون والتصميم.\n-        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": 3, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "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.\n-        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.\nالمادة ( 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:-\n-        كليتي الطب وطب الأسنان                 85%\n-        كليتي الهندسة والتكنولوجيا، والصيدلة   80%\n-        كلية علوم التأهيل                           75%", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 4, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "يتي الطب وطب الأسنان                 85%\n-        كليتي الهندسة والتكنولوجيا، والصيدلة   80%\n-        كلية علوم التأهيل                           75%\n-        باقي كليات الجامعة                         65%\nالمادة ( 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:-\nأ -       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": 5, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "على شهادة دبلوم كليات المجتمع أو ما يعادلها وذلك ضمن الشروط التالية:-\nأ -       أن يكون الطالب ناجحاً في شهادة الدراسة الثانوية العامة أو ما يعادلها.\nب -     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%).\nج -     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": 6, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "ول على شهادة معادلة له من وزارة التعليم العالي والبحث العلمي الأردنية، وعليه كذلك اجتياز امتحان القبول الذي تعقده الكلية المعنية في الجامعة الأردنية.\nالمادة ( 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:-\n1-            أن يكون ناجحاً في هذه المواد.\n2-     أن لا يقل عدد الساعات المعتمدة للمادة المعادلة عن عدد الساعات المقررة للمادة المقابلة لها في الجامعة الأردنية.\n3-            أن تكون هذه المواد ضمن الخطة الدراسية للكلية أو التخصص الملتحق به الطالب.", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 7, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "عدد الساعات المقررة للمادة المقابلة لها في الجامعة الأردنية.\n3-            أن تكون هذه المواد ضمن الخطة الدراسية للكلية أو التخصص الملتحق به الطالب.\n4-            أن لا تحسب علامات الطالب في هذه المواد في معدله التراكمي في الجامعة الأردنية.\nب -     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": 8, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "لية 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.\nج -     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 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": 9, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "دراسة الفصلان الأخيران لدراسته، أما في كليتي الطب وطب الأسنان، فعلى الطالب أن يدرس في الجامعة الأردنية ثلاث سنوات دراسية متتالية على الأقل قبل تخرجه.\nالمادة ( 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.\nالمادة ( 8 ):-   لا يجوز لمن التحق بالبرنامج الموازي التحويل إلى البرنامج العادي.\nالمادة ( 9 ):-   لا تسري الإعفاءات المالية على أي طالب التحق بالبرنامج الموازي في الجامعة.", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 10, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "ز لمن التحق بالبرنامج الموازي التحويل إلى البرنامج العادي.\nالمادة ( 9 ):-   لا تسري الإعفاءات المالية على أي طالب التحق بالبرنامج الموازي في الجامعة.\nالمادة (10):-   تستوفى من الطالب الملتحق في البرنامج الموازي الرسوم المحددة في الجدول رقم (1) والجدول رقم (2).\nالمادة (11):-   تلغي هذه التعليمات ( تعليمات قبول الطلبة في البرنامج الدولي) و (تعليمات قبول الطلبة في البرنامج الاستكمالي) و(تعليمات قبول الطلبة في البرنامج المسائي).\nالمادة (12):-   يبت رئيس الجامعة في الحالات التي لم يرد عليها نص في هذه التعليمات.\nالجدول رقم (1)\nرسوم الساعات المعتمدة", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 11, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "ل الطلبة في البرنامج المسائي).\nالمادة (12):-   يبت رئيس الجامعة في الحالات التي لم يرد عليها نص في هذه التعليمات.\nالجدول رقم (1)\nرسوم الساعات المعتمدة", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 12, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "أسم التخصص | الطلبة الأردنيون الحاصلون على الشهادة الثانوية الأردنية بالدينار الأردني | الطلبة غير الأردنيين أو الطلبة الأردنيون الحاصلون على الشهادة الثانوية غير الأردنية بالدولار الأمريكي", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 13, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "1-: 3- | اللغة العربية: اللغة الانجليزية التطبيقية | 30: 60 | 70: 105", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 14, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "1-: 5- | اللغة العربية: اللغتين الألمانية والإنجليزية | 30: 50 | 70: 70", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 15, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "1-: 6- | اللغة العربية: اللغتين الإيطالية والإنجليزية | 30: 50 | 70: 70", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 16, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "1-: 7- | اللغة العربية: اللغتين الإسبانية والإنجليزية | 30: 50 | 70: 70", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 17, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "1-: 6- | المحاسبة: نظم المعلومات الإدارية | 60: 75 | 105: 130", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 18, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "1-: 2- | الإرشاد والصحة النفسية: التربية الخاصة | 40: 40 | 70: 70", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 19, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "1-: 3- | الإرشاد والصحة النفسية: تربية الطفل | 40: 40 | 70: 70", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 20, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "1-: 4- | الإرشاد والصحة النفسية: معلم الصف | 40: 40 | 70: 70", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 21, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "تخصصات كلية العلوم الاجتماعية والانسانية\nتخصصات كلية الفنون والتصميم", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 22, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "1-: 2- | قسم الفنون التشكيلية والبصرية: قسم الفنون المسرحية | 70 (1): 70 (2) | 105: 105", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 23, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "1-: 3- | قسم الفنون التشكيلية والبصرية: قسم الموسيقى | 70 (1): 70 (3) | 105: 105", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 24, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "1-: 5- | الرياضيات: الجيولوجيا البيئية والتطبيقية | 40: 40 | 85: 85", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 25, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "1-: 2- | البستنة والمحاصيل: الوقاية النباتية | 50: 50 | 85: 85", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 26, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "1-: 3- | البستنة والمحاصيل: الإنتاج الحيواني | 50: 50 | 85: 85", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 27, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "1-: 4- | البستنة والمحاصيل: التغذية والتصنيع الغذائي | 50: 65 | 85: 105", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 28, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "1-: 5- | البستنة والمحاصيل: الأراضي والمياه والبيئة | 50: 50 | 85: 85", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 29, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "1-: 6- | البستنة والمحاصيل: الاقتصاد وإدارة الأعمال الزراعية | 50: 40 | 85: 85", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 30, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "1-: 3- | الهندسة المدنية: الهندسة الكهربائية | 65: 75 | 130: 130", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 31, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "1-: 5- | الهندسة المدنية: هندسة الميكاترونكس | 65: 70 | 130: 130", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 32, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "1-: 6- | الهندسة المدنية: الهندسة الميكانيكية | 65: 65 | 130: 130", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 33, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "1-: 7- | الهندسة المدنية: الهندسة الكيميائية | 65: 65 | 130: 130", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 34, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "1-: 8- | الهندسة المدنية: الهندسة الصناعية | 65: 70 | 130: 130", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 35, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "1-: 3- | العلاج الطبيعي: الأطراف الاصطناعية | 50: 50 | 140: 140", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 36, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "1-: 4- | العلاج الطبيعي: علوم السمع والنطق | 50: 50 | 140: 140", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 37, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "تخصصات كلية الصيدلة\nتخصصات كلية الملك عبدالله الثاني لتكنولوجيا المعلومات", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 38, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "1-: 2- | أنظمة المعلومات الحاسوبية: علم الحاسوب | 75: 75 | 130: 130", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 39, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "1-: 3- | أنظمة المعلومات الحاسوبية: أنظمة معلومات الأعمال | 75: 75 | 130: 130", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 40, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "الرسوم المتفرقة | الطلبة الأردنيون الحاصلون على الشهادة الثانوية الأردنية بالدينار الأردني | الطلبة غير الأردنيين أو الطلبة الأردنيون الحاصلون على الشهادة الثانوية غير الأردنية بالدولار الأمريكي", "source": "تعليمات قبول الطلبة في البرنامج الموازي للحصول على درجة البكالوريوس في الجامعة الأردنية.docx", "chunk_id": 41, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "\"(*) تعليمات قبول الطلبة في الجامعة الأردنية لمرحلة البكالوريوس\"\nصادرة عن مجلس العمداء بموجب قراره رقم (1276/ 2015) تاريخ 13/8/2015\nاستناداً إلى المادة (17/ب/11) من (قانون الجامعات الأردنية رقم 20 لسنة 2009) وتعديلاته.\nالمادة (1):  تسمى هذه التعليمات \"تعليمات قبول الطلبة في الجامعة الأردنية لمرحلة البكالوريوس\"،  ويُعمل بها اعتباراً من بدء العام الجامعي 2015/2016.\nالمادة (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.\nالمادة (3):  يقبل الطلبة في الجامعة الأردنية في مختلف التخصصات وفق أسس القبول التي يصدرها مجلس التعليم العالي سنوياً.", "source": "تعليمات قبول الطلبة في الجامعة الأردنية لمرحلة البكالوريوس.docx", "chunk_id": 1, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "ب بذلك إلى مجلس التعليم العالي.\nالمادة (3):  يقبل الطلبة في الجامعة الأردنية في مختلف التخصصات وفق أسس القبول التي يصدرها مجلس التعليم العالي سنوياً.\nالمادة (4): يُحدد مجلس العمداء الشروط الإضافية الأخرى لقبول الطلبة في بعض التخصصات التي تقتضي طبيعتها ذلك وذلك وفق أسس يصدرها مجلس العمداء لهذه الغاية.\nالمادة (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": 2, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "ول الطلبة في كلية التربية الرياضية لفحص طبي تجريه لجنة طبية خاصة تشكل لهذه الغاية، وتقيس هذه اللجنة اللياقة الصحية والبدنية للطلبة قبل التحاقهم فيها.\nالمادة (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 وفقاً لمعدلات القبول الموحد في السنة التي قبل فيها.", "source": "تعليمات قبول الطلبة في الجامعة الأردنية لمرحلة البكالوريوس.docx", "chunk_id": 3, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "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.\n2- 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.\n3- يقبل أبناء أعضاء هيئة التدريس وأعضاء هيئة الباحثين الذين انتهت خدماتهم بسبب المرض، أو بلوغهم السن القانونية، أو الوفاة.\n4-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": 4, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "نية، أو الوفاة.\n4-لا يجوز لأعضاء هيئة التدريس وأعضاء هيئة الباحثين الذين يقضون في الجامعة إجازة تفرغ علمي أو إجازة بدون راتب الاستفادة من هذه المادة.\nالمادة (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 عزلوا من الخدمة.", "source": "تعليمات قبول الطلبة في الجامعة الأردنية لمرحلة البكالوريوس.docx", "chunk_id": 5, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "يُقبل كذلك أبناء العاملين الذين انتهت خدماتهم بسبب المرض، أو  بلوغهم السن القانونية أو الوفاة ، باستثناء الذين استغني عن خدماتهم، أو عزلوا من الخدمة.\nالمادة (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.\nالمادة (9): يجوز قبول الطلبة المتفوقين رياضياً وفنياً وعلمياً وبحثياً وفق الأسس التي يقرها مجلس التعليم العالي.\nالمادة (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": 6, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "ريس 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 .\nالمادة (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.\nالمادة (12): أ- تُقبل في البرنامج الموازي الفئات التالية حسب نسبة المتقدمين من كل نوع من أنواع الشهادات:\n1.  الطلبة الأردنيون الحاصلون على شهادة الدراسة الثانوية العامة الأردنية.\n2.  الطلبة الأردنيون الحاصلون على شهادة الدراسة الثانوية العامة غير الأردنية.\n3.  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": 7, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "هادة الدراسة الثانوية العامة غير الأردنية.\n3.  الطلبة الأردنيون الحاصلون على شهادة الدراسة الثانوية العامة الأردنية وغير الأردنية في السنوات السابقة.\nب )   يُخصّص ما لا يزيد على (10%) من مقاعد كل تخصص في البرنامج الموازي لأبناء أعضاء هيئة التدريس وأبناء العاملين في الجامعة\nج) يُقبل في البرنامج الدولي الطالب الذي يحمل جنسية غير أردنية وحصل على شهادة الدراسة الثانوية العامة من داخل الأردن أو خارجه.\nالمادة (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.\nالمادة (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": 8, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "تمت معادلتها في المعدل التراكمي في الجامعة الأردنية.\nالمادة (14): لا يجوز لمن التحق بالبرنامج الموازي أو البرنامج الدولي التحويل إلى البرنامج العادي.\nالمادة (15): لا تسري الإعفاءات المالية على أي طالب التحق بالبرنامج الموازي أو البرنامج الدولي في الجامعة.\nالمادة (16): تقرأ هذه التعليمات مع أسس القبول التي يقرها مجلس التعليم العالي في بداية كل عام جامعي .\nالمادة (17): يبت رئيس الجامعة في الحالات التي لم يرد فيها نص في هذه التعليمات.\nالمادة (18): تُلغي هذه التعليمات أي تعليمات أخرى سابقة تتعارض مع مضمونها.\nالمادة (19): رئيس الجامعة والمسجل العام مسؤولان عن تنفيذ هذه التعليمات.", "source": "تعليمات قبول الطلبة في الجامعة الأردنية لمرحلة البكالوريوس.docx", "chunk_id": 9, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "مات.\nالمادة (18): تُلغي هذه التعليمات أي تعليمات أخرى سابقة تتعارض مع مضمونها.\nالمادة (19): رئيس الجامعة والمسجل العام مسؤولان عن تنفيذ هذه التعليمات.", "source": "تعليمات قبول الطلبة في الجامعة الأردنية لمرحلة البكالوريوس.docx", "chunk_id": 10, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "دليل أعضاء هيئة التدريس مع توضيح البريد الإلكتروني (للأنظمة الذكية)\nهذا المستند مُهيأ لأنظمة RAG حيث يتم توضيح البريد الإلكتروني نصيًا داخل الجملة، مع ذكر الاسم بالعربية والإنجليزية والقسم بشكل صريح.", "source": "دليل_اعضاء_هيئة_التدريس_RAG.docx", "chunk_id": 1, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "ي (للأنظمة الذكية)\nهذا المستند مُهيأ لأنظمة RAG حيث يتم توضيح البريد الإلكتروني نصيًا داخل الجملة، مع ذكر الاسم بالعربية والإنجليزية والقسم بشكل صريح.", "source": "دليل_اعضاء_هيئة_التدريس_RAG.docx", "chunk_id": 2, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "قسم علوم الحاسوب (Computer Science - CS) الأساتذة\nالاسم: أ.د. عبداللطيف أبودلهوم (Abdullatif Abudlahom)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: a.latif@ju.edu.jo.\nالاسم: أ.د. أحمد الشرايعة (Ahmad Al-Sharaiah)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: sharieh@ju.edu.jo.\nالاسم: أ.د. عزام سليط (Azzam Sleit)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: azzam.sleit@ju.edu.jo.\nالاسم: أ.د. باسل محافظة (Basel Mahafzah)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: b.mahafzah@ju.edu.jo.\nالاسم: أ.د. حازم الحياري (Hazem Al-Hiyari)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: hazemh@ju.edu.", "source": "دليل_اعضاء_هيئة_التدريس_RAG.docx", "chunk_id": 3, "language": "Mixed", "was_translated": false, "doc_type": "regulation", "section_title": "قسم علوم الحاسوب (Computer Science - CS) – الأساتذة" }, { "text": "هو: b.mahafzah@ju.edu.jo.\nالاسم: أ.د. حازم الحياري (Hazem Al-Hiyari)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: hazemh@ju.edu.jo.\nالاسم: أ.د. عماد صلاح (Imad Salah)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: isalah@ju.edu.jo.\nالاسم: أ.د. محمد الشريدة (Mohammad Al-Shridah)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: mshridah@ju.edu.jo.\nالاسم: أ.د. محمد القطاونة (Mohammad Al-Qatawneh)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: mohd.qat@ju.edu.jo.\nالاسم: أ.د. محمد عبيدات (Mohammad Obaidat)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: Obaidat@ju.edu.jo.\nالاسم: أ.د.", "source": "دليل_اعضاء_هيئة_التدريس_RAG.docx", "chunk_id": 4, "language": "Mixed", "was_translated": false, "doc_type": "regulation", "section_title": "قسم علوم الحاسوب (Computer Science - CS) – الأساتذة" }, { "text": "ju.edu.jo.\nالاسم: أ.د. محمد عبيدات (Mohammad Obaidat)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: Obaidat@ju.edu.jo.\nالاسم: أ.د. صالح الشرايعة (Saleh Al-Sharaiah)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: ssharaeh@ju.edu.jo.\nالاسم: أ.د. سامي السرحان (Sami Al-Serhan)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: samiserh@ju.edu.jo.\nالاسم: أ.د. وسام المبيضين (Wisam Almobaideen)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: almobaideen@inf.ju.edu.jo.", "source": "دليل_اعضاء_هيئة_التدريس_RAG.docx", "chunk_id": 5, "language": "Mixed", "was_translated": false, "doc_type": "regulation", "section_title": "قسم علوم الحاسوب (Computer Science - CS) – الأساتذة" }, { "text": "@ju.edu.jo.\nالاسم: أ.د. وسام المبيضين (Wisam Almobaideen)، القسم: Computer Science (CS). البريد الإلكتروني الخاص به/بها هو: almobaideen@inf.ju.edu.jo.", "source": "دليل_اعضاء_هيئة_التدريس_RAG.docx", "chunk_id": 6, "language": "Mixed", "was_translated": false, "doc_type": "regulation", "section_title": "قسم علوم الحاسوب (Computer Science - CS) – الأساتذة" }, { "text": "قسم نظم المعلومات الحاسوبية (Computer Information Systems - CIS)\nالاسم: أ.د. محمد بلال الزعبي (Mohammad Bilal Al-Zoubi)، القسم: Computer Information Systems (CIS). البريد الإلكتروني الخاص به/بها هو: mba@ju.edu.jo.\nالاسم: أ.د. عمار الحنيطي (Ammar Huneiti)، القسم: Computer Information Systems (CIS). البريد الإلكتروني الخاص به/بها هو: a.huneiti@ju.edu.jo.\nالاسم: أ.د. بسام حمو (Bassam Hammo)، القسم: Computer Information Systems (CIS). البريد الإلكتروني الخاص به/بها هو: b.hammo@ju.edu.jo.\nالاسم: د. لؤي النمر (Loay Nemer)، القسم: Computer Information Systems (AI). البريد الإلكتروني الخاص به/بها هو: l.nemer@ju.edu.jo.", "source": "دليل_اعضاء_هيئة_التدريس_RAG.docx", "chunk_id": 7, "language": "Mixed", "was_translated": false, "doc_type": "regulation", "section_title": "قسم نظم المعلومات الحاسوبية (Computer Information Systems - CIS)" }, { "text": ": b.hammo@ju.edu.jo.\nالاسم: د. لؤي النمر (Loay Nemer)، القسم: Computer Information Systems (AI). البريد الإلكتروني الخاص به/بها هو: l.nemer@ju.edu.jo.", "source": "دليل_اعضاء_هيئة_التدريس_RAG.docx", "chunk_id": 8, "language": "Mixed", "was_translated": false, "doc_type": "regulation", "section_title": "قسم نظم المعلومات الحاسوبية (Computer Information Systems - CIS)" }, { "text": "قسم الذكاء الاصطناعي (Artificial Intelligence - AI)\nالاسم: د. ابراهيم الجراح (Ibrahim Aljarah)، القسم: Artificial Intelligence (AI). البريد الإلكتروني الخاص به/بها هو: i.aljarah@ju.edu.jo.\nالاسم: د. مجدي صوالحة (Majdi Sawalha)، القسم: Artificial Intelligence (AI). البريد الإلكتروني الخاص به/بها هو: sawalha.majdi@ju.edu.jo.\nالاسم: 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": 9, "language": "Mixed", "was_translated": false, "doc_type": "regulation", "section_title": "قسم الذكاء الاصطناعي (Artificial Intelligence - AI)" }, { "text": "awalha.majdi@ju.edu.jo.\nالاسم: 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": 10, "language": "Mixed", "was_translated": false, "doc_type": "regulation", "section_title": "قسم الذكاء الاصطناعي (Artificial Intelligence - AI)" }, { "text": "قانون رقم (52) لسنة 1972(1)\n \n \nقانون الجامعة الأردنية\n \n \nوالتعديلات التي طرأت عليه\n \n \n \nقانون رقم 27 لسنة 1985 قانون معدل لقانون الجامعة الأردنية لسنة 72 (2)\n \n \nقانون رقم 15 لسنة 1985 قانون معدل لقانون الجامعة الأردنية لسنة 72   (3)\n \n \nقانون رقم 24 لسنة 1981 قانون معدل لقانون الجامعة الأردنية لسنة 72 (4)\n \nالمادة ( 1 ):-  يسمى هذا القانون (قانون الجامعة الأردنية لسنة 1972) ويعمل به من تاريخ نشره في الجريدة الرسمية.\nالمادة ( 2 ):-  الجامعة الأردنية مؤسسة وطنية للتعليم العالي مركزها عمان، وموقعها الجبيهة.\nالمادة ( 3 ):-  للجامعة الأردنية (شخصية معنوية مستقلة) ماليا ً وإداريا ، ولها أن تقاضي وتقاضى بهذه الصفة. ولها حق التملك والبيع والرهن والاقتراض والتبرع وقبول التبرعات عن طريق الوقف والمنح والوصايا والهبات، وأن تنيب عنها في الإجراءات القضائية أو الناشئة عن أعمالها النائب العام أو من تنيبه أو أي محام تعينه لهذه الغاية.\nالمادة ( 4 ):-  اللغة العربية هي لغة التدريس في كليات الجامعة ومعاهدها، ولمجلس الجامعة أن يقرر استعمال  لغة أخرى للتدريس حينما تقضي الضرورة بذلك.\nالمادة ( 5 ):-  تهدف الجامعة الأردنية إلى خدمة المجتمع الإنساني والعربي وخاصة الأردني بالوسائل الممكنة وأهمها:-\n                 أ -  إتاحة فرص الدراسة والتخصص والتعمق في ميادين المعرفة تلبية لحاجات البلاد مع الاعتناء بالثقافة العامة والتركيز على المستوى والنوعية.\nب-    القيام بالبحث العلمي وتشجيعه.\nج -  تنمية روح البحث العلمي والاستقلال الفكري والمبادرة الشخصية وروح العمل الجماعي عند الطلبة.\nد -  العناية بالحضارة العربية والإسلامية ونشر تراثها والاهتمام بالقيم الأخلاقية.\nهـ - تنمية الشعور بالانتماء للوطن وروح المسؤولية.\nو -    تنمية التقنية (التكنولوجيا) وتطويرها في خدمة المجتمع.\nز -   العمل على رقي الآداب والفنون وتقدم العلوم.\nح -     تنمية الاهتمام بالثقافة القومية والعالمية وتطوير التراث الوطني.\nط -   توثيق الروابط مع الجامعات والهيئات العلمية العربية والعالمية.\nي - تقديم الرعاية الطبية عن طريق المؤسسات الطبية التابعة لها.\nك - التركيز على تعميق العقيدة الإسلامية وقيمها الروحية والأخلاقية.\n \nالمادة ( 6 ):-  تضم الجامعة كليات ومعاهد ومستشفيات جامعية ومراكز علمية للبحوث والتعليم والتدريب والاستشارات والخدمات، تنشأ كل منها وتلغى وتدمج بغيرها بقرار من مجلس الأمناء بناء على تنسيب من مجلس الجامعة بعد أخذ رأي مجلس العمداء، على أن يقترن القرار بالإرادة الملكية السامية.\nالمادة (7 ):-  أ -  للجامعة مجلس أمناء يتألف من ثمانية عشر عضواً من ذوي الرأي والخبرة يكون ثلثاهم على الأقل من الأردنيين، ويكون رئيس الجامعة واحداً منهم بحكم منصبه.\nب- يعين الملك أعضاء مجلس أمناء الجامعة ويعين من بينهم رئيس مجلس الأمناء ويقيلهم ويقبل استقالاتهم.\nج - يتم تعيين الأعضاء غير الأردنيين في الوقت الذي يرتأيه الملك.\n المادة ( 8 ):-يكون تعيين أعضاء مجلس أمناء الجامعة لمدة ست سنوات قابلة للتجديد.\n المادة ( 9 ):- يتولى مجلس الأمناء المسؤوليات والصلاحيات التالية:-\nأ -   دعم استقلال الجامعة وصيانته واتخاذ جميع الوسائل المؤدية إلى رفع شأنها وتمكينها من أداء رسالتها وتحقيق أهدافها.\nب - تدبير موارد الجامعة وتنظيم استثمار أموالها.\nج -  مناقشة وإقرار مشروع الميزانية السنوية.\nد -  مناقشة وإقرار الأنظمة الداخلية المتعلقة بالأمور المالية والإسكانية التي يقترحها مجلس الجامعة.\nهـ - تنسيب شخص أو أكثر لرئاسة الجامعة، ويتم التعيين بإرادة ملكية سامية.\nو -  تعيين نواب الرئيس والعمداء ومديري المستشفيات بناء على تنسيب من رئيس الجامعة على أن يقترن بالإرادة الملكية السامية.\n  المادة (10):-   يؤلف مجلس الجامعة على الوجه التالي :-\n                    أ -    1-      رئيس الجامعة.\n                            2-      نائب ( أو نواب ) الرئيس.\n                            3-      العمداء.\n4-   عضو هيئة تدريس من كل كلية تنتخبه الهيئة التدريسية في الكلية في مطلع كل عام جامعي لمدة سنة قابلة للتجديد.\n                         5-     مدير ( أو عميد) شؤون الطلبة.\n                         6-     الأمين العام للجامعة.\n                        7-     مدير التنمية والتخطيط في الجامعة.\n                        8-      أمين عام المجلس القومي للتخطيط.\n                        9-    أمين عام وزارة التربية والتعليم.\n                       10-   وكيل وزارة الصحة.\n                       11-  وكيل وزارة الزراعة.\n                       12-  وكيل وزارة الأشغال العامة.\n                       13-  مدير مستشفى الجامعة الأردنية.\n                        14-  مدير مكتبة الجامعة.\nب-  يجوز أن يضم إلى عضوية مجلس الجامعة بناء على اقتراح من مجلس الجامعة وقرار من مجلس الأمناء أعضاء آخرون من الفئات التالية:-\n         1-   أعضاء هيئة تدريس.\n         2-   موظفون إداريون بحكم وظائفهم.\n         3-    وكلاء الوزارات.\n         4-   أحد الطلبة.\n         5-    أحد الخريجين.\n6- أي شخص أو ممثل مؤسسة لها علاقة وثيقة بالجامعة.\nوتكون مدة عضوية هؤلاء في مجلس الجامعة سنة قابلة للتجديد.\n \n   المادة (11):- يتولى مجلس الجامعة المسؤوليات والصلاحيات المحددة في هذا القانون وفي الأنظمة الصادرة بمقتضاه وذلك فيما يلي :-\nأ -   مناقشة الميزانية السنوية للجامعة ورفعها إلى مجلس الأمناء.\nب - مناقشة مشاريع الأنظمة الداخلية الخاصة وإقرار ما يقع منها ضمن صلاحية مجلس الجامعة ورفع ما يقع من هذه المشاريع ضمن صلاحيات مجلس الأمناء إلى ذلك المجلس ، وفي كل حال يجري تعديل الأنظمة الخاصة بالأمور الأكاديمية الواردة من مجلس العمداء بأكثرية الثلثين.\nج -  توثيق علاقة الجامعة مع المؤسسات والأجهزة في القطاعين العام والخاص وتنسيقها.\nد - توثيق الروابط بين الكليات والدوائر والنشاطات في الجامعة وتنسيقها.\nهـ -  تقييم أعمال الجامعة عن طريق النظر في التقارير السنوية التي يرفعها إليه رئيس الجامعة وتشكيل اللجان الخاصة بتقييم فعالية خريجي الجامعة في تلبية حاجات المجتمع والتأثير فيه.\nو -   مناقشة وإقرار المشاريع التي يعدها مجلس العمداء لتنظيم شؤون نشاطات الطلبة.\nز -  مناقشة وإقرار المشاريع التي يعدها مجلس العمداء لتنظيم الشؤون التأديبية للطلبة.\nح -  النظر فيما يعرضه عليه رئيس الجامعة من أمور أخرى.\nالمادة (12):-  أ -  يشترط في رئيس الجامعة أن يكون أردنياً ، وأن تتوافر فيه الشروط الواجب توافرها لدى الأستاذ في الجامعة.\nب - يعين رئيس الجامعة بقرار من مجلس الأمناء وبإرادة ملكية سامية.\nج -  إذا انتهت خدمة رئيس الجامعة استمر في منصب الأستاذية.\nالمادة (13):-  أ - رئيس الجامعة مسؤول عن إدارة شؤون الجامعة، ويتولى الصلاحيات التي تضمن حسن سير العمل في الجامعة وفق أحكام هذا القانون والأنظمة الصادرة بمقتضاه وأية تعليمات أخرى.\n   ب - يمارس رئيس الجامعة، بصورة خاصة، المسؤوليات والصلاحيات التالية:-\n1-    تمثيل الجامعة في صلاتها بكافة السلطات والهيئات والأشخاص ويجوز له أن يفوض كلا أو جزءا ً من هذه الصلاحيات إلى أي  شخص أخر.\n2- إدارة شؤون الجامعة العلمية والتعليمية والإدارية والمالية وغيرها بما يحقق غايات الجامعة وأهدافها.\n3-  تنفيذ قانون الجامعة والأنظمة الصادرة بموجبه.\n4-  رئاسة مجلس الجامعة ومجلس العمداء والدعوة إلى اجتماعاتهما وتنظيم شؤونهما.\n5-    تنفيذ موازنة الجامعة، وإصدار أوامر الصرف الخاصة بالمصروفات الجامعية، وفقاً للأنظمة المالية.\n6-      تقديم تقرير إلى مجلس الأمناء في نهاية كل سنة جامعية عن شؤون الجامعة ونشاطاتها المختلفة.\nج -  لرئيس الجامعة عند الضرورة حق تعليق الدراسة في الجامعة كلياً أو جزئياً ، على أن يعلم مجلس الأمناء ومجلس العمداء بذلك.\nد -   لرئيس الجامعة دعوة عدد من الموظفين أو الخبراء للاستئناس بارائهم عند الضرورة في مناقشات مجلس الجامعة ومجلس العمداء وذلك لمدة محددة أو في موضوعات معينة.\nهـ -   لرئيس الجامعة أن يفوض إلى نوابه أو العمداء أو إلى غيرهم من العاملين في الجامعة أياً من الصلاحيات المخولة إليه بمقتضى هذا القانون والأنظمة والتعليمات الصادرة بموجبه بما في ذلك صلاحياته في الأمور المالية وأن يحدد شروط ممارسة ذلك التفويض.\n   المادة (14):-  أ - يعاون رئيس الجامعة نائب له أو أكثر يقوم كل منهم بالأعمال والصلاحيات التي يكلفه بها، ويشترط فيمن يعين نائباً لرئيس الجامعة أن يكون قد شغل رتبة الأستاذية.\nب -  يختار الرئيس أحد نوابه ليتولى القيام بأعماله وممارسة صلاحياته عند غيابه وذلك بصفته رئيساً للجامعة بالوكالة وأما في حالة خلو منصب رئيس الجامعة فينتدب رئيس مجلس الأمناء أحد نواب الرئيس ليقوم بأعماله ويمارس صلاحياته إلى حين تعيين رئيس أصيل للجامعة.\n  ج - تنتهي خدمة نائب رئيس الجامعة بالاستقالة أو بتعيين نائب للرئيس عوضاً عنه، وإذا انتهت خدمة نائب الرئيس فله أن يستمر في مهام الأستاذية.\n   المادة (15):-   يؤلف مجلس العمداء من :-\n                    أ -       رئيس الجامعة.\n                    ب-      نائب (أو نواب) الرئيس.\n                    ج -     العمداء.\n   المادة (16):- 1- يمارس مجلس العمداء الصلاحيات المحددة في هذا القانون والأنظمة الداخلية الخاصة للجامعة وتعليماتها وبصورة خاصة ما يلي :-\nأ -     الموافقة على خطط الدراسة.\nب-    منح الدرجات العلمية.\nج -    وضع تعليمات قبول الطلبة.\nد -   إنشاء كراسي الأستاذية.\nهـ -  التنسيق بين أعمال الكليات فيما يتصل بالدروس والمحاضرات والبحوث العلمية وإدارة الامتحانات.\nو - تعيين أعضاء هيئة التدريس وترقيتهم والنظر بأوضاعهم الوظيفية المختلفة من إعارة وندب وإجازة وغير ذلك في حدود الأنظمة الداخلية الخاصة بذلك.\nز -    إنشاء الأقسام ودمجها.\nح -  دراسة الموضوعات التي يحيلها عليه رئيس الجامعة.\n2-  يعتبر  مجلس العمداء مفوضاً حكماً بصلاحيات مجلس الجامعة إذا تعذر اجتماع  مجلس الجامعة بنصابه القانوني لأسباب قاهرة يقدرها مجلس العمداء بعد الاستماع إلى الأسباب المبررة التي يعرضها رئيس الجامعة. \n    المادة (17):-  أ - يشترط فيمن يعين عميداً أن يكون قد شغل رتبة الأستاذية، إلا أنه يجوز لمجلس الأمناء بناء على تنسيب رئيس الجامعة أن يعين أحد أعضاء الهيئة التدريسية عميداً بالنيابة بحيث يمارس جميع أعمال العميد وصلاحياته وفقاً لأحكام هذا القانون والأنظمة الصادرة بموجبه.\nب -   تنتهي خدمة العميد أو العميد بالنيابة بالاستقالة أو بتعيين بديل عن أي منهما، وإذا انتهت خدمة أي منهما فله أن يستمر في مهام رتبته الأكاديمية.\n  المادة (18)  (5):-  أ -  عميد الكلية مسؤول عن إدارة شؤون الكلية التعليمية والإدارية والمالية، وبهذه الصفة يمارس جميع الحقوق والصلاحيات التي تضمن حسن سير العمل في الكلية بما لا يتعارض مع أحكام هذا القانون والأنظمــــــــــة الداخلية الخاصة للجامعة وتعليماتها، ويقدم إلى رئاسة الجامعة، في نهاية كل سنة جامعية تقريراً عن شؤون الكلية ونشاطاتها.\nب -  مدير مستشفى الجامعة مسؤول عن إدارة شؤون المستشفى الطبية والإدارية والمالية، وبهذه الصفة يمارس جميع الحقوق والصلاحيات التي تضمن حسن سير العمل في المستشفى بما لا يتعارض مع أحكام هذا القانون والأنظمة الداخلية للجامعة والمستشفى والتعليمات الصادرة بالاستناد إليها ويقدم في نهاية كل سنة تقريراً عن شؤون المستشفى.\nج -  العمداء الآخرون، في غير الكليات، يقومون بالأعمال والصلاحيات التي يكلفهم بها هذا القانون والأنظمة الداخلية الخاصة للجامعة وتعليماتها، إلى جانب الأعمال الأخرى التي يكلفهم بها رئيس الجامعة.\n    المادة (19):-  أ - لرئيس الجامعة تعيين نائب أو أكثر للعميد من الأساتذة بتنسيب من العميد وذلك لمدة سنة قابلة للتجديد.  ويتولى نائب العميد القيام بالأعمال والمهام التي يكلفه بها العميد، وممارسة الصلاحيات التي يفوضها إليه. على أنه يجوز عند الضرورة تعيين أحد أعضاء الهيئة التدريسية ممن لم يشغلوا رتبة الأستاذية نائباً للعميد.\nب-     يختار العميد أحد نوابه ليتولى القيام بأعماله وممارسة صلاحياته عند غيابه. وفي حالة عدم وجود نائب له أو شغور منصب العميد يكلف رئيس الجامعة أحد أعضاء الهيئة التدريسية القيام بأعمال العميد وممارسة صلاحياته طيلة مدة غيابه أو شغور منصبه.\n    المادة(20):-    أ -  يؤلف مجلس الكلية من :-\n1-        عميد الكلية / رئيساً .\n2-        نواب العميد.\n3-        رؤساء الأقسام.\n4-    عضو هيئة تدريسية عن كل قسم ينتخبه أعضاء ذلك القسم في مطلع كل عام جامعي، لمدة سنة قابلة للتجديد.\nب-  لمجلس العمداء بتنسيب من عميد الكلية تعيين عضوين على الأكثر في مجلس الكلية من ذوي الرأي والخبرة، لمدة سنة قابلة للتجديد.\nج -  إذا كانت الكلية مستحدثة فيتم تشكيل مجلس مؤقت لها، ويعين رئيس له بقرار من مجلس الأمناء بناء على تنسيب رئيس الجامعة يتألف من عدد لا يقل عن ثلاثة أعضاء ولا يزيد على سبعة من أعضاء الهيئة التدريسية في الجامعة وغيرهم، ويتولى رئيس المجلس المؤقت صلاحيات عميد الكلية إلى حين تعيين عميد لها أو عميد بالنيابة، كما يتولى المجلس المؤقت صلاحيات مجلس الكلية ومجالس الأقسام فيها، وتنتهي مدة المجلس المؤقت عندما يتوافر في الكلية قسمان على الأقل يضم كل منهما عضوين كحد أدنى.\nد -    لمجلس الأمناء أن يجمع أكثر من كلية في هيئة واحدة، وعلى أن تحدد تسمية هذه الهيئة وتشكيلاتها وصلاحياتها وعضويتها في مجالس ولجان الجامعة، بنظام يصدره لهذه الغاية.\nهـ -    لعميد الكلية دعوة عدد من الموظفين او الخبراء للاستئناس بآرائهم عند الضرورة في مناقشات مجلس الكلية، وذلك لمدة محددة أو في موضوعات معينة.\n المادة (21):- يتولى مجلس الكلية المسؤوليات والصلاحيات المنصوص عليها في هذا القانون وفي الأنظمة الصادرة بموجبه، وعلى الأخص ما يلي :-\nأ -   اقتراح خطة الدراسة في الكلية وشروط منح الدرجات العلمية والشهادات فيها.\nب- إقرار المناهج الدراسية التي تقترحها مجالس الأقسام.\nج -  إقرار شروط قبول الطلبة في الأقسام.\nد -  التنسيق مع عمادة الدراسات العليا في تعيين المشرفين على الرسائل العلمية، وتشكيل لجان المناقشة.\nهـ -  الإشراف على تنظيم الدراسة في الكلية، والتنسيق بين الأقسام المختلفة فيها .\nو -  تنظيم إجراءات الامتحانات في الكلية، والإشراف عليها، والتداول في نتائجها الواردة من الأقسام المختصة للبت فيها .\nز -  التنسيب إلى مجلس العمداء بمنح الدرجات العلمية والشهادات.\nح -  الإشراف على تنظيم البحث العلمي في الكلية وتشجيعه بالتنسيق مع عمادة البحث العلمي.\nط - التوصية في جميع الأمور المتعلقة بأعضاء هيئة التدريس في الكلية وغيرهم من القائمين بأعمال التدريس فيها، من تعيين، وترقية ونقل، وندب، وإعارة، وإيفاد، ومنح الإجازات الدراسية، وقبول الاستقالة, وغير ذلك من الأمور الجامعية بموجب أحكام الأنظمة الصادرة بمقتضى هذا القانون.\nي -     إعداد مشروع الموازنة السنوية للكلية.\nك -  النظر في المسائل التي يحيلها إليه عميد الكلية.\n    المادة (22):- أ-  لكل قسم من أقسام الكلية مجلس يتألف من رئيس القسم وجميع أعضاء هيئة التدريس فيه.\n  ب-  يمارس مجلس القسم المسؤوليات والصلاحيات التالية:-\n1-   تقديم الاقتراحات إلى مجلس الكلية حول الخطط الدراسية في القسم وما من شأنه النهوض بالقسم والكلية.\n                           2-  تنسيق المناهج التدريسية للمواد في                                    القسم.\n3- تشجيع وتنسيق نشاطات البحث العلمي في القسم.\n4-  إبداء الرأي في الترقيات وطلبات التعيين لأعضاء هيئة التدريس أو المحاضرين للقسم مع مراعاة عدم اشتراك عضو هيئة التدريس في النظر في الترقية أو التعيين في مرتبة أعلى من مرتبته.\n5-  تقديم الاقتراحات حول توزيع الدروس والمحاضرات.\n6- إبداء الرأي في أية موضوعات يعرضها عميد الكلية أو رئيس القسم.\nج -  رئيس القسم مسؤول عن حسن سير التدريس في قسمه بما لا يتعارض مع أحكام هذا القانون والأنظمة الداخلية الخاصة للجامعة وتعليماتها.\nد -   يعين أحد أساتذة القسم رئيساً له لمدة سنة قابلة للتجديد بقرار من رئيس الجامعة بناء على تنسيب العميد إلا أنه يجوز في حالات خاصة يقدرها عميد الكلية ورئيس الجامعة.  تعيين أحد أعضاء هيئة التدريس في القسم رئيساً له بالنيابة، وفي حالة غياب رئيس القسم يترأس العميد مجلس القسم.\n   المادة (23) (6):-  أعضاء هيئة التدريس في الجامعة هم:-\nأ -                   الأساتذة.\nب -              الأساتذة المشاركون.\nج -                الأساتذة المساعدون.\nد -      المدرسون.\n   المادة (24):-  يشكل مجلس لمستشفى الجامعة يطلق عليه أسم (مجلس المستشفى) تحدد كيفية تشكيله واختصاصاته بأنظمة تصدر لهذا الغرض.\n     المادة (25):-    أ -   1-  يدعو إلى اجتماع كل مجلس من المجالس الواردة في هذا القانون رئيس ذلك المجلس أو من ينوب عنه في حالة غيابه.\n2- لرئيس الجامعة دعوة أي من مجالسها للاجتماع.\n3-  لنصف أعضاء أي مجلس على الأقل تقديم طلب الاجتماع، وعلى رئيس المجلس في هذه الحالة دعوة المجلس للاجتماع خلال أسبوعين على الأكثر.\nب-    لكل من المجالس المشكلة بموجب هذا القانون أن يفوض إلى رئيسه أو إلى اللجان المنبثقة عنه، بعضاً من الصلاحيات التي يمارسها ، بما في ذلك صلاحيات المجلس في الأمور المالية.\n   المادة (26):-  أ-  يتألف النصاب القانوني لجلسة كل مجلس من المجالس الواردة في هذا القانون بحضور الأكثرية لعدد أعضائه ويشترط في ذلك أن يكون نصاب الأكثرية للحاضرين في أية جلسة من جلسات مجلس أمناء الجامعة من الأعضاء الأردنيين.\nب-   تصدر القرارات لكل مجلس من المجالس الواردة في هذا القانون بأصوات الأكثرية المطلقة للحضور واذا تساوت الأصوات يكون صوت رئيس الجلسة هو المرجح.\n    المادة (27):-  يجوز الاعتراض على القرارات الصادرة عن أي مجلس الى المجلس الذي يعلوه تسلسلا ً ويكون القرار الصادر عن المجلس المعترض إليه قراراً قطعيا ً غير قابل للطعن أمام أية جهة أخرى.\n    المادة (28):-   أ - يقسم نواب رئيس الجامعة والعمداء وأعضاء هيئة التدريس ومدير المستشفى الأردنيون قبل مباشرة أعمالهم وكذلك المعينون منهم قبل نفاذ هذا القانون أمام رئيس الجامعة اليمين التالية:-\n\" أقسم بالله العظيم أن أكون مخلصاً للملك والوطن وأن أحافظ على شرف المهنة وأن أقوم بواجبي بكل أمانه وإخلاص \".\nب-  أما أعضاء مجلس الأمناء الأردنيون ورئيس الجامعة فيقسمون اليمين ذاتها أمام الملك.\nج - يقسم الأشخاص غير الأردنيين المذكورون في الفقرة (أ) من هذه المادة أمام رئيس الجامعة اليمين التالية:-\n\" أقسم بالله العظيم أن أحافظ على شرف المهنة وأن أقوم بواجبي بكل أمانة وإخلاص وأن لا أقوم بأي عمل قولا ً أو فعلا ً يتعارض مع سيادة وسلامة المملكة الأردنية الهاشمية وقوانينها وأنظمتها\".\n   المادة (29):-    أ -للجامعة الأردنية (ميزانية مستقلة) خاصة بها يعدها رئيس الجامعة ومجلس العمداء ويناقشها مجلس الجامعة ويقرها مجلس الأمناء.\nب-  تدير الجامعة أموالها وتنفق منها وفق نظام داخلي خاص يصدر بموجب أحكام هذا القانون.\n                    ج -  تتكون موارد الجامعة من :-\n1-  الرسوم الجامعية.\n2- الرسوم القانونية لمصلحة الجامعة.\n3- ريع أموالها المنقولة وغير المنقولة.\n4-      الهبات والإعانات والتبرعات والمنح الأخرى، على أن تؤخذ موافقة مجلس الوزراء على الخارجية منها.\n5-   منحة سنوية تخصصها لها الحكومة.\n6-   أية موارد أخرى.\n7-  دخل مستشفى الجامعة.\nد-    تحصل أموال الجامعة الأردنية المستحقة قبل أو بعد نفاذ أحكام هذا القانون وفقاً لقانون تحصيل الأموال الأميرية المعمول به وأي تشريع آخر يحل محله أو يعد له.\n   المادة (30):-   أ - تعفى الجامعة الأردنية من الضرائب والرسوم والعوائد سواء أكانت حكومية أم بلدية وغيرها.\nب -  بالرغم مما ورد في أي قانون آخر تتولى الجامعة الأردنية داخل الحرم الخاص بها، القيام بجميع الأعمال وتوفير الوسائل التي يقتضيها تحقيق أهدافها وغاياتها المنصوص عليها في هذا القانون، بما في ذلك إقامة الأبنية والإنشاءات التي تحتاج إليها وفقاً للتنظيم الذي تقرره والمخططات والتصاميم التي تراها مناسبة. وتقديم الخدمات العامة في داخل حرمها، وتوفير المرافق الضرورية لها.\n  المادة (31):- يتولى مراقبة وتدقيق حسابات الجامعة ديوان المحاسبة إلا إذا ارتأى رئيس الجامعة غير ذلك فعندئذ يعين مجلس الأمناء فاحص حسابات قانونياً ويحدد أتعابه بتنسيب من مجلس الجامعة.\n   المادة (32):- أ-(7) تحدد شروط وإجراءات تعيين                     وترقية التدريس والمحاضرين والمعارين والمتعاقدين           والمعيدين والموظفين والمستخدمين وجميع العاملين في     الجامعة وتعيين حقوقهم وواجباتهم الوظيفية والمالية           وسائر الشؤون المتصلة بعملهم الجامعي بموجب نظام          داخلي خاص يصدر بمقتضى أحكام هذا القانون.\n\nب-  بالرغم مما ورد في هذا القانون وفي أي نظام صادر بمقتضاه لمجلس الأمناء إنهاء خدمات أي من العاملين في الجامعة على أن يقترن قراره بالإرادة الملكية السامية إذا كان تعيين الشخص الذي أنهيت خدماته قد اقترن بها وتدفع له جميع استحقاقاته المالية عن خدماته في الجامعة.\n  المادة (33):- تنظم نشاطات الطلاب الثقافية والاجتماعية والرياضية من قبل مجلس الجامعة.\n  المادة (34):-  لمجلس الوزراء إصدار الأنظمة اللازمة لتنفيذ أحكام هذا القانون بتنسيب من مجلس الأمناء.\n  المادة (35):- بالرغم مما ورد في هذا القانون من أحكام يجوز أيضاً تعليق الدراسة في الجامعة بقرار من مجلس الوزراء.\n  المادة (36):- أ - يستمر العمل بالأنظمة والتعليمات الجامعية المعمول بها حين صدور هذا القانون إلى أن تصدر الأنظمة الداخلية الخاصة أو التعليمات الجديدة التي تلغيها أو تعدلها.\nب-    يلغى هذا القانون قانون الجامعة الأردنية رقم (17) لسنة 1964.\n    المادة (37):-  رئيس الوزراء والوزراء مكلفون بتنفيذ هذا القانون ضمن أحكام الدستور.", "source": "قانون الجامعة الاردنية.docx", "chunk_id": 1, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "(1)   نشر في العدد (2384) من الجريدة الرسمية، الصادرة بتاريخ 5/10/1972.\n(2)   القانون المعدل رقم (27) لسنة (85) المنشور في العدد (3320) من الجريدة الرسمية ، الصادر بتاريخ 28/5/1985.\n(3)   القانون المعدل رقم (15) لسنة (85) المنشور في العدد (3310) من الجريدة الرسمية، الصادر بتاريخ 2/5/1985.\n(4)   القانون المعدل رقم (24) لسنة (81) المنشور في العدد (3023) الصادر بتاريخ 16/9/1981.\nوأصبح هذا القانون دائمياً بموجب الإعلان المنشور في الجريدة الرسمية، وكتاب رئيس الوزراء رقم ج أ/3540 تاريخ 2/4/1985.\n(5)   عدلت بموجب القانون المعدل رقم (12) لسنة 1999.\n(6)   تم تعديل المسميات في ضوء قانون الجامعات الأردنية رقم (29) لسنة 1987.\n(7)   نشر هذا التعديل في العدد (3310) من الجريدة الرسمية الصادر بتاريخ 2/5/1985.", "source": "قانون الجامعة الاردنية.docx", "chunk_id": 2, "language": "Arabic", "was_translated": false, "doc_type": "regulation", "section_title": "" }, { "text": "مقدمة\nهذا المستند يوضح المعلومات الأساسية المتعلقة بمكرمة الجيش ومكرمة الجسيم (المصاب العسكري)، وآلية التقديم، والفروقات بينهما، إضافة إلى المزايا والشروط المهمة للطلبة.", "source": "مكرمة_الجيش_والجسيم.docx", "chunk_id": 1, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "مقدمة" }, { "text": "وضح المعلومات الأساسية المتعلقة بمكرمة الجيش ومكرمة الجسيم (المصاب العسكري)، وآلية التقديم، والفروقات بينهما، إضافة إلى المزايا والشروط المهمة للطلبة.", "source": "مكرمة_الجيش_والجسيم.docx", "chunk_id": 2, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "مقدمة" }, { "text": "أولاً: مكرمة الجسيم (المصاب العسكري)\nهي مكرمة مخصصة للطلبة الذين يكون أحد والديهم شهيداً أو مصاباً عسكرياً بنسبة عجز 40% فما فوق.", "source": "مكرمة_الجيش_والجسيم.docx", "chunk_id": 3, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "أولاً: مكرمة الجسيم (المصاب العسكري)" }, { "text": "آلية التقديم\n1. يقوم الطالب بالتسجيل على نظام الموازي في جامعة حكومية.\n2. بعد القبول، يتم دفع الرسوم كاملة بشكل مؤقت (مسترد).\n3. تجهيز الوثائق التالية:\n- إثبات تسجيل أو قبول في الجامعة الحكومية.\n- وثيقة تثبت حالة الجسيم لأحد الوالدين بنسبة عجز 40% فما فوق.\n4. تقديم الوثائق إلى مكتب الثقافة العسكرية.\n5. تقوم الثقافة العسكرية بإصدار كتاب رسمي لتحويل الطالب من الموازي إلى مكرمة أبناء الشهداء والمصابين.", "source": "مكرمة_الجيش_والجسيم.docx", "chunk_id": 4, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "آلية التقديم" }, { "text": "فوق.\n4. تقديم الوثائق إلى مكتب الثقافة العسكرية.\n5. تقوم الثقافة العسكرية بإصدار كتاب رسمي لتحويل الطالب من الموازي إلى مكرمة أبناء الشهداء والمصابين.", "source": "مكرمة_الجيش_والجسيم.docx", "chunk_id": 5, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "آلية التقديم" }, { "text": "ثانياً: مكرمة الجيش\nهي مكرمة يتم التقديم لها من خلال القبول الموحد وتشمل دعماً مالياً للطلبة.", "source": "مكرمة_الجيش_والجسيم.docx", "chunk_id": 6, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "ثانياً: مكرمة الجيش" }, { "text": "آلية التقديم\n1. تعبئة طلب القبول الموحد.\n2. شراء نموذج طلب مكرمة الجيش من البريد.\n3. تعبئة البيانات واختيار حتى 30 تخصصاً، ويفضل اختيار تخصصات ضمن جامعات قريبة.", "source": "مكرمة_الجيش_والجسيم.docx", "chunk_id": 7, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "آلية التقديم" }, { "text": "يم\n1. تعبئة طلب القبول الموحد.\n2. شراء نموذج طلب مكرمة الجيش من البريد.\n3. تعبئة البيانات واختيار حتى 30 تخصصاً، ويفضل اختيار تخصصات ضمن جامعات قريبة.", "source": "مكرمة_الجيش_والجسيم.docx", "chunk_id": 8, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "آلية التقديم" }, { "text": "مكرمة الجسيم\n- دفع الرسوم للفصل الأول بشكل كامل (مسترد لاحقاً).\n- لا يوجد مخصص شهري.\n- بعد انتهاء الدراسة، يتم دفع تكلفة الساعات الزائدة أو المعادة.", "source": "مكرمة_الجيش_والجسيم.docx", "chunk_id": 9, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "مكرمة الجسيم" }, { "text": "مكرمة الجيش\n- يحصل الطالب على مخصص شهري (20 25 دينار).\n- بعد انتهاء الدراسة، يتم دفع الساعات الزائدة بسعر التنافس.", "source": "مكرمة_الجيش_والجسيم.docx", "chunk_id": 10, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "مكرمة الجيش" }, { "text": "مزايا مكرمة الجيش\nيمكن للطالب تقديم اعتراض بعد صدور نتائج القبول، واختيار تخصصات أعلى، وغالباً يتم تعديل التخصص حسب الشواغر.", "source": "مكرمة_الجيش_والجسيم.docx", "chunk_id": 11, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "مزايا مكرمة الجيش" }, { "text": "مزايا مكرمة الجسيم\nتستمر المكرمة حتى الدراسات العليا (ماجستير ودكتوراه)، وتشمل المتزوجين حتى سن 30 عاماً.", "source": "مكرمة_الجيش_والجسيم.docx", "chunk_id": 12, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "مزايا مكرمة الجسيم" }, { "text": "ملاحظات هامة\nقد لا تقبل بعض الجامعات المتزوجين ضمن هذه المكرمات، مثل جامعتي اليرموك والهاشمية (غير مؤكد).", "source": "مكرمة_الجيش_والجسيم.docx", "chunk_id": 13, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "ملاحظات هامة" }, { "text": "معلومات التواصل\nللاستفسار، يمكن التواصل عبر واتساب على الرقم: 0786222737\nنقلاً عن صفحة الأستاذ رائد أبو شهاب.", "source": "مكرمة_الجيش_والجسيم.docx", "chunk_id": 14, "language": "Arabic", "was_translated": false, "doc_type": "scholarship", "section_title": "معلومات التواصل" } ]