The M.Tech program in Computer Science enables B.Tech engineering students of CSE, AI, EEE and ECE branches to acquire essential knowledge related to Computer Science and advanced knowledge in one of the streams of technology development relevant to industry and academic research.
Computer Science and Engineering
The M.Tech program in Computer Science enables B.Tech engineering students of CSE, AI, EEE and ECE branches to acquire essential knowledge related to Computer Science and advanced knowledge in one of the streams of technology development relevant to industry and academic research. The curriculum is designed to sharpen understanding of fundamentals, strengthen the foundations required to acquire specialization in one of the theme areas of current R&D effort.
Program Outcomes
Total Credits = 63
Semester 1 | Semester 2 | Semester 3 | Semester 4 |
---|---|---|---|
Mathematics for Computer Science(3) | Network Softwarization: Principles & Foundations (3) | Elective – 3 (3) | Dissertation Project (16) |
High Performance Computing (3) | Big Data Analytics (3) | Elective – 4 (3) | |
Machine Learning (3) | Modern Operating Systems (3) | Dissertation Project (6) | |
Algorithm Design Techniques (3) | Elective from Basket – 1*(3) | ||
Advanced Database Systems (3) | Elective from Basket – 2# (3) | ||
Seminar Paper (1) |
Summer
Industry Internship (4)
*Elective Basket 1 Courses = 3, 5 and 8
#Elective Basket 2 Courses = 1, 6 and 18
Streams:
List of Elective Courses:
Credit of Course
S.No. | Course Name | Credit | Remarks |
---|---|---|---|
1 | Mathematics for Computer Science | 3 | Basic mathematics for CS students |
2 | High Performance Computing | 3 | Current approaches to HPC* |
3 | Machine Learning | 3 | Latest trends in Deep Learning, AI |
4 | Algorithm Design Techniques | 3 | Algorithmic aspects & Data Structures in current computing approaches |
5 | Advanced Databases | 3 | Advances in DBMS & Novel Databases |
*HPC = High Performance Computing
S.No. | Course Name | Credit | Remarks |
---|---|---|---|
1 | Network Softwarization: Principles & Foundations | 3 | Current Networking Concepts like SDN1 |
2 | Big Data Analytics | 3 | Challenges of Analytics for Big Data |
3 | Modern Operating Systems | 3 | Latest Concepts in OS Embedded OS, Realtime OS etc |
4 | Elective – 1 | 3 | |
5 | Elective - 2 | 3 |
1SDN = Software Defined Networking
2DBMS = Database Management Systems
S.No. | Course Name | Credit | Remarks |
---|---|---|---|
1 | Industry Internship | 4 | To have an exposure of industry |
S.No. | Course Name | Credit | Remarks |
---|---|---|---|
1 | Elective -3 | 3 | |
2 | Elective -4 | 3 | |
3 | Dissertation Project | 6 | Problem Statement Identification. |
S.No. | Course Name | Credit | Remarks |
---|---|---|---|
1 | Dissertation Project | 16 | Project Demonstration with Publication |