Ever since its inception on 7th October 1996, the Department of Computer Science and Engineering at Amrita Vishwa Vidyapeetham has been progressing towards excellence in the field of teaching and research. With a team of dedicated, experienced and qualified faculty members, the department has witnessed tremendous growth in academics and research. Major research areas include Image Processing, Multimedia Mining, Evolutionary Computing, Network Security and Wireless Networks. The department is progressing towards setting up of research laboratories and R & D centers.
The department offers B.Tech in Computer Science and Engineering and M.Tech in Computer Vision and Image Processing. Regular interaction with software companies has helped the department in maintaining its syllabus abreast with technology and industrial standards. The rigorous learning environment has helped make students job-ready.
- Curriculum based on recommendations of IEEE-ACM Joint task force on Computing Curricula
- Right combination of courses from Humanities, Basic Sciences, Engineering, and Computer Science
- Mathematics courses to supplement the Computer Science requirements
- Unique course in India on “Computational Thinking for Problem Solving” to aid in better logical thinking and strengthen programming skills
- Innovative use of tools and programming languages like Scratch, Raptor, Python and Visual Java
- Industry case studies in courses like Software Engineering, Database Management Systems and Data Mining
- Project based courses to integrate the theoretical and practical aspects of computer science
- Courses reflecting industry trends like Machine Learning and Data Mining, Cloud Computing, Service Oriented Architecture, OS for Smart Devices, Pervasive Computing, Big Data Analytics, etc
- Open Labs for tech geeks and coders to take up competitive coding
- Curriculum prepares the students towards internship at industries, Research labs and Exchange Programmes at International Universities
- Support for publications, patenting and entrepreneurship
| SEMESTER I | SEMESTER II | SEMESTER III | SEMESTER IV |
| Communicative English | Vector Calculus and Ordinary Differential Equations | Humanities-1 | Humanities II |
| Calculus and Matrix Algebra | Chemistry/Physics | Amrita Value Program-1 | Amrita Value Program II |
| Computational Thinking and Problem Solving | Computer Programming | Discrete Mathematics | Probability & Random Processes |
| Physics/Chemistry | Computer Science Essentials | Digital Systems | Design and Analysis of Algorithms |
| Physics/Chemistry Lab | Fundamentals of Electrical and Electronics Engineering | Data Structures & Algorithms | Introduction to Embedded Systems |
| Workshop A/Workshop B | Chemistry Lab. / Physics Lab. | Object Oriented Programming | Operating Systems |
| Engg.Drawing- CAD | Workshop B / Workshop A | Digital systems lab | Embedded Systems Lab |
| Cultural Education I | Computer programming lab | Data Structures lab | Operating Systems Lab |
| Cultural Education II | Object Oriented Programming Lab | Soft Skills I |
| SEMESTER V | SEMESTER VI | SEMESTER VII | SEMESTER VIII |
| Linear Algebra, Queuing theory and Optimization | Computer Networks | Machine Learning and Data Mining | Elective VI |
| Environmental Studies | Compiler Design | Structure and Interpretation of Computer Programs | Software project Management |
| Computer Organization and Architecture | Software Engineering | Project Based Elective | Project Phase II |
| Theory of Computation | Elective 2 | Elective IV | |
| Database Management Systems | Elective 3 | Elective V | |
| Elective I | Compiler Design Lab | Machine Learning and Data Mining Lab | |
| Computer Organization and Architecture Lab | Computer Networks Lab | Project Phase I | |
| Soft Skills II | Open Lab | Live in Labs | |
| Live in Lab | Soft Skills III |
