M.Tech. CSE is designed to offer eligible candidates the requisite skills needed in the application, research, and development activities in emerging areas of Computer Science. The course focuses on AI and AI-related applications in a distributed computing environment.
The program includes subjects like Computer Architecture, Networking, Algorithms, Databases, Distributed Computing and Computational Intelligence. One of the principal objectives of the course is to produce trained human resource capable of supporting research and development activities in critical areas such as automated, secured, monitoring and surveillance systems, medical diagnostics, intelligent monitoring systems, etc.
This program aims to build analytical abilities for tackling technical problems, formulating and testing new techniques, using advanced communications and multimedia equipment and working for product development in the candidates.
A semester-wise breakup of the course’s syllabus is tabulated below.
| Semester I | Semester II |
|---|---|
| Computer Networks | Formal Models in Computer Science |
| Advances in OS | Advanced Algorithms |
| Advanced Database Management System | Advanced Computer Architecture |
| Computer System Performance Analysis | Cloud Computing |
| Fundamentals of Computer and Introduction to C programming | Elective 2 |
| Elective 1 | Project Phase-I (6-week duration) |
| Seminar | Seminar |
| Semester III | Semester IV |
| Information Security | Embedded Systems |
| Elective 3 | Project Work Evaluation and Viva-Voce |
| Elective 4 | Optical Networks |
| Project Phase-II | Advances in DIP |
| Evaluation of Project Phase-I | Computer graphics and visualization |