M.Tech.
Computer and Information Science (2020) |
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Semester
- I |
| Sl.
No. |
Course
code |
Course
Title |
Core/
Elective |
Credits |
Lec. |
Lab/
Tutorial |
Marks |
1 |
20-435-0101 |
Mathematical
concepts for computer science |
C |
4 |
4 |
2 |
100 |
2 |
20-435-0102 |
Machine
Learning Algorithms |
C |
4 |
4 |
3 |
100 |
3 |
20-435-0103 |
Design
and Analysis of Algorithms |
C |
3 |
4 |
3 |
100 |
4 |
- |
Elective
I |
E |
3 |
4 |
1 |
100 |
5 |
- |
Elective
II |
E |
3 |
4 |
1 |
100 |
Total
for Semester I |
18 |
20 |
10 |
500 |
Electives |
| 20-435-0104:
Virtualized Systems |
| 20-435-0105:
Computational Linguistics |
| 20-435-0106:
Advanced Optimization Techniques |
| 20-435-0107:
Algorithms for Modern Data Models |
| 20-435-0108:
Digital Image and Video Processing |
| 20-435-0109:
Mathematics for Machine Learning |
| 20-435-0110:
Number Theory and Cryptography |
Semester
- II |
1 |
20-435-0201 |
Algorithms
for Massive Datasets |
C |
4 |
4 |
2 |
100 |
2 |
20-435-0202 |
Probabilistic
Graphical Models |
C |
4 |
4 |
2 |
100 |
3 |
20-435-0203 |
Seminar
|
C |
1 |
0 |
3 |
50 |
4 |
- |
Elective
III |
E |
3 |
4 |
1 |
100 |
5 |
- |
Elective
IV |
E |
3 |
4 |
1 |
100 |
6 |
- |
Elective
V |
E |
3 |
4 |
1 |
100 |
Total
for Semester II |
18 |
20 |
10 |
550 |
Electives |
| 20-435-0204:
Bioinformatics |
| 20-435-0205:
Programming Massively Parallel Processors |
| 20-435-0206:
Deep Learning |
| 20-435-0207:
Modelling Cyber Physical Systems |
| 20-435-0208:
Algorithmic Game Theory |
| 20-435-0209:
Deep Learning for Computer Vision |
| 20-435-0210:
Image and Video Coding |
| 20-435-0211:
Reinforcement Learning |
| 20-435-0212:
Natural Language Processing with Deep Learning |
Semester
- III |
1 |
20-435-0301 |
Elective
- VI |
E |
2 |
0 |
10 |
50 |
2 |
20-435-0302 |
Project
& Viva Voce |
C |
16 |
0 |
20 |
350 |
Total
for Semester III |
18 |
20 |
30 |
400 |
Semester
- IV |
1 |
20-435-0401 |
Project
& Viva Voce |
C |
18 |
0 |
30 |
500 |
Total
credits for Degree: 72 |
