"{\"lab\": {\"list\": [\"The Programming Lab1 and 2 (C, C++ programming)\", \"The Network Lab (Network programming and simulation training)\", \"The OOP Lab (Object Oriented Programming)\", \"The Advance Computing Lab (Data Mining and Business Intelligence)\", \"The Internet and Advance Programming lab 1 and 2 (final and pre-final year students for project work)\", \"The High Performance server and network infrastructure (connectivity to the institute)\", \"The Hardware Lab (8085 & 8086 Microprocessor hardware kits, Raspberry PI-3 B+ Kits, GPS tracker, Sensor Kits, LoRa)\"], \"details\": \"Programming Lab1 and 2 has desktop computers with open source programming SDKs for C and C++ programming courses. Network Lab has high-end desktop computers with networking software, network simulators including Wireshark and Packet Tracer, and programming languages C, C++, Java, and Python 2.7 on Windows 10 for network application programming. OOP Lab has desktop computers with Object Oriented Programming SDKs, Integrated Development Environments including Eclipse and EditPlus, and Object Oriented Software Engineering tools. Advance Computing Lab has desktop computers with SDKs for Machine Learning, Data Mining, and Hadoop Cluster used for Data Mining and Business Intelligence and Python Programming courses. Internet and Advance Programming lab 1 and 2 has high-end desktop computers with open source tools for formal specification and verification, advanced static analysis, dynamic analysis and testing tools, modeling languages, CASE tools, and general programming environments used by final and pre-final year students for project work. High Performance server and network infrastructure is the Network Operation Center providing fiber connectivity with central rack containing networking switches and servers including web server, application server MIS, Oracle Database Server, and file server. Hardware Lab handles Microprocessor, Digital Electronics, and Internet of Things subjects with 8085 and 8086 Microprocessor hardware kits, Digital Trainer Kits with Basic gates, and IoT sensors and devices including Raspberry PI-3 B+ Kits, GPS tracker, Sensor Kits, and LoRa.\"}, \"faculty\": {\"list\": [\"Professor Kajal S. Patel (Associate Professor, Ph.D., HOD)\", \"Professor Hetal A. Joshiara (Associate Professor, Ph.D.)\", \"Professor Viral Borisagar (Associate Professor, Ph.D.)\", \"Professor Jalpa M. Ramavat (Assistant Professor, Ph.D.)\", \"Professor Nakul R. Dave (Assistant Professor, Ph.D.)\", \"Professor Amit H. Rathod (Assistant Professor, Ph.D.)\", \"Professor Nirav B. Suthar (Assistant Professor, M.E.)\", \"Professor Jaimin M. Shroff (Assistant Professor, M.Tech)\", \"Professor Jigna J. Jadav (Assistant Professor, Ph.D.)\", \"Professor Vinodray D. Thumar (Assistant Professor, Ph.D.)\", \"Professor Karan P. Bhatt (Assistant Professor, M.E.)\", \"Professor Avani Nakul Dave (Assistant Professor, M.E.)\", \"Professor Rahul K. Shah (Assistant Professor, M.Tech)\", \"Professor Bhavinkumar N. Patel (Assistant Professor, M.E)\", \"Mrs. Vital R. Patel (Computer Operator, D.E.)\"], \"details\": \"The department has fifteen faculty members including three Associate Professors with Ph.D. qualifications and eight Assistant Professors with Ph.D. qualifications. The remaining Assistant Professors hold M.E. or M.Tech degrees. The Head of Department is Professor Kajal S. Patel who is an Associate Professor with Ph.D. qualification. Other Associate Professors include Professor Hetal A. Joshiara and Professor Viral Borisagar both with Ph.D. qualifications. Assistant Professors with Ph.D. include Professor Jalpa M. Ramavat, Professor Nakul R. Dave, Professor Amit H. Rathod, Professor Jigna J. Jadav, and Professor Vinodray D. Thumar. Assistant Professors with M.E. or M.Tech qualifications include Professor Nirav B. Suthar with M.E., Professor Jaimin M. Shroff with M.Tech, Professor Karan P. Bhatt with M.E., Professor Avani Nakul Dave with M.E., Professor Rahul K. Shah with M.Tech, and Professor Bhavinkumar N. Patel with M.E. The department also has Mrs. Vital R. Patel serving as Computer Operator with D.E. qualification.\"}, \"core_faculty\": {\"list\": [], \"details\": \"\"}, \"intake\": {\"list\": [\"Undergraduate (UG) program intake (120 students)\"], \"details\": \"The Undergraduate program has an intake capacity of 120 students.\"}, \"hod\": {\"list\": [\"Professor Kajal S. Patel (Head of Department)\"], \"details\": \"The Head of Department is Professor Kajal S. Patel who holds the position of Associate Professor and has Ph.D. qualification.\"}, \"achievements\": {\"list\": [], \"details\": \"\"}, \"syllabus\": {\"list\": [\"Semester 1 & 2 (Common): Basic Electrical Engineering (3110005), Environmental Science (3110007), Engineering Graphics & Design (3110013), Mathematics-I (3110014), Programming for Problem Solving (3110003), Basic Mechanical Engineering (3110006), Mathematics-II (3110015), Basic Electronics (3110016), Physics Group - II (3110018)\", \"Semester 3: Effective Technical Communication (3130004), Probability and Statistics (3130006), Indian Constitution (3130007), Data Structures (3130702), Database Management Systems (3130703), Digital Fundamentals (3130704)\", \"Semester 4: Object Oriented Programming with C++ (2140705), Operating System (3140702), Object Oriented Programming - I (3140705), Computer Organization & Architecture (3140707), Discrete Mathematics (3140708), Principles of Economics and Management (3140709)\", \"Semester 5: Analysis and Design of Algorithms (3150703), Professional Ethics (3150709), Computer Networks (3150710), Software Engineering (3150711), Computer Graphics (3150712), Python for Data Science (3150713), Cyber Security (3150714)\", \"Semester 6: Theory of Computation (2160704/3160704), Advanced Java (2160707/3160707), Web Technology (2160708), Microprocessor and Interfacing (3160712), Web Programming (3160713), Data Mining (3160714), IoT and Applications (3160716)\", \"Semester 7: Compiler Design (2170701/3170701), Information and Network Security (2170709), Mobile Computing and Wireless Communication (2170710/3170710), Data Mining and Business Intelligence (2170715), Artificial Intelligence (3170716), Distributed System (3170719), Big Data Analytics (3170722), Mobile Application Development (3170726)\", \"Semester 8: Artificial Intelligence (2180703), Cloud Infrastructure and Services (2180712), Web Data Management (2180713), iOS Programming (2180714), Android Programming (2180715)\"], \"details\": \"The Computer Engineering program at VGEC is a 4-year B.E. program following GTU curriculum with intake of 120 students. The syllabus spans 8 semesters starting with foundation courses in programming, mathematics, and basic sciences. Core computing subjects begin in Semester 3 (Data Structures, DBMS, Digital Fundamentals) and progress to advanced topics like Operating Systems, Computer Networks, and Software Engineering. Semester 5-6 cover specialized areas including Cyber Security, Data Science, Web Technology, and IoT. Final year focuses on emerging technologies: Artificial Intelligence, Cloud Computing, Big Data Analytics, Mobile Computing, and platform-specific development (iOS, Android). The program emphasizes practical skills through programming labs, project work, and industry-relevant technologies. Multiple elective options allow specialization in AI/ML, Cyber Security, or Mobile Development tracks.\"}, \"research\": {\"list\": [\"Industry partnerships\", \"Government agency collaborations\", \"R&D organization partnerships\", \"Entrepreneurship development\", \"Higher studies preparation\", \"Research and development in computing\", \"Modern software frameworks\", \"Data science techniques\", \"Machine learning techniques\", \"Large volume data problem solving\"], \"details\": \"The department fosters an environment for research and entrepreneurship developing partnerships with industries government agencies and R&D organizations for knowledge sharing. Graduates are equipped with skills to pursue entrepreneurship higher studies research and development in computing utilizing modern software frameworks and data science and machine learning techniques for solving problems with large volumes of data.\"}}"