M.Tech
Computer Science and Engineering (Data Science and
Artificial Intelligence) (2019) |
Semester
- I |
Sl.
No. |
Course
code |
Course
Title |
Core/Elective |
Credits |
Lec. |
Tut |
Lab |
Marks |
1 |
19-475-0101 |
Probability
and Statistics for Data Science |
C |
4 |
4 |
2 |
2 |
100 |
2 |
19-475-0102 |
Artificial
Intelligence |
C |
4 |
4 |
2 |
2 |
100 |
Total
for Semester I |
8 |
8 |
4 |
4 |
200 |
Semester
- II |
1 |
19-475-0201 |
Foundations
of Data Science |
C |
4 |
4 |
2 |
2 |
100 |
2 |
19-475-0202 |
Machine
Learning Algorithms |
C |
4 |
4 |
2 |
2 |
100 |
Total
for Semester II |
8 |
8 |
4 |
4 |
200 |
Semester
- III |
1 |
19-475-0301 |
Probabilistic
Graphical Models |
C |
4 |
4 |
2 |
2 |
100 |
2 |
|
Elective I |
E |
4 |
4 |
2 |
2 |
100 |
Total
for Semester III |
8 |
8 |
4 |
4 |
200 |
Electives |
19-475-0302
: Image and Video Processing |
19-475-0303
: Complex Networks: Theory and Applications |
19-475-0304
: Advanced Optimization Techniques |
Semester
- IV |
1 |
19-475-0401 |
Deep
Learning Architectures |
C |
4 |
4 |
2 |
2 |
100 |
2 |
|
Elective II |
E |
4 |
4 |
2 |
2 |
100 |
Total
for Semester IV |
8 |
8 |
4 |
4 |
200 |
Electives |
19-475-0402
:Natural Language Processing with Deep Learning |
19-475-0403
:Real-time Video Analytics |
19-475-0404
:Bioinformatics |
Semester
-V |
1 |
19-475-0501 |
Project & Viva
Voce |
C |
16 |
0 |
0 |
13 |
300 |
2 |
|
Elective III |
E |
4 |
4 |
2 |
2 |
100 |
Total
for Semester V |
20 |
4 |
2 |
15 |
400 |
Electives |
19-475-0502
: Parallel Computing with GPU |
19-475-0503
: Mining of Massive Datasets |
19-475-0504
: Reinforcement Learning |
Semester
- VI |
1 |
19-475-0601 |
Project & Viva
Voce |
C |
20 |
0 |
0 |
15 |
400 |
Total
credits for Degree: 72 |