Computer Science and Engineering

The Department of Computer Science and Engineering at OP Jindal University imparts quality education at undergraduate and post graduate level with emphasis on basic computing principles, rapidly evolving technology, and continuous need for innovation in this field. To ensure that students are sought by IT companies, the department provides training in various cutting edge technologies, inculcate professional behavior, instill ethical values and develop leadership and team working capabilities. Our program provides flexible curriculum enabling the students to achieve their goals and make them industry ready.

Department has experienced and energetic faculty with specialization in different areas like Computer networks, Embedded and IoT, Artificial Intelligence, Data Mining etc. Department has got state of the art laboratories, latest hardware-software and teaching learning tools to create a learning environment and impart quality education.

Department Highlights

  • Well qualified and dedicated staff and faculty with an inclination towards teaching, programming and research activities.

  • State of the art computing facilities with licensed software.

  • Partnership with Intel & FICE to provide latest technological exposure to the students.

  • MSDN Academic alliance for campus software licensing.

  • Moodle LMS (Learning Management System ) for Online Courses, quiz, assignment. Feedback etc.

  • Contemporary pedagogy – OnLine Learning, Virtual Labs, Blended Learning etc

  • Different Clubs, Societies, professional chapters for all round development of students.

  • Fully integrated network - entire campus is Wi-Fi enabled and all the machines on LAN/Wi-Fi are interconnected thus provides seamless connectivity throughout the campus.

  • 50 MBPs 1:1 dedicated leased line which provides 24x7 internet connectivity.

  • More than 500 Desktop/Laptop in different computer labs.

Learning by doing is the driving philosophy of the department. The Department has state of the art laboratories, latest hardware-software, round the clock internet connectivity and much more to support teaching –learning. The laboratories are well equipped with LMS system to make lab sessions and learning more effective. Following is a list of different laboratories :

  • Intel Intelligent Systems Lab in partenership with Intel Inc and FICE.

  • Android and App Devloment Lab

  • Cloud Computing Lab

  • Internet Technology Lab

  • Software Engineering Lab

  • Artificial Intelligence Lab

  • Mobile Computing Lab

  • Computer Networks and Network Security Lab

  • Data Structure and Programming Lab

  • LAMP Lab

  • Soft Computing Lab

  • Big Data Analytics & Machine Learning Lab

  • J2EE and Dot Net Lab

  • Hardware Simulation Lab

  • DBMS Lab

The Department’s Teaching Learning aims at enabling students to face real-world challenges using Problem-Based Learning (PBL), interactive and participative processes and constant mentoring.

Society / Chapter/ Club

  • NPTEL Student Chapter

  • ACM Student Chapter

  • IEEE student Chapter

  • CSI student chapter

  • UNICODE (Union of Computer Department for Excellence)

  • Android Club

  • IUCEE (Indo Universal Colloboration for Engineering Education)

Activities / Events

  • Industry Visits

  • Programming and Problem-solving Contests

  • Projects and Quiz Competitions

  • Students Seminars and Debates

  • Interviews and Group Discussions

  • Team-building Exercises

  • O2C2 (OPJU Open Coding Competetion)

  • Webinar Conductions

  • In house Training program

Department researchers are working extensively in some of the thrust areas like Digital Image Processing, Data Science, Machine Learing, Cloud Computing, IoT etc. . Department has collaborated with leading Industries and renowned institutes across the India. Students along with the teachers constantly involved in exciting and interesting problems/projects to explore and innovate new methods and finding sustainable solutions, published in various national and international journals.

Key Research Area:

  • Big Data

  • Internet of Things

  • Cloud Computing

  • Network Security

  • Machine Learning

  • Digital Image Processing