Course Title: PG Diploma in Machine Learning
Semester: First
|
S. No.
|
Paper Title
|
Paper Category
Skill Compulsory (SC)
Skill Elective (SE)
|
Credits
|
Total Credits
|
EoSE Duration
|
|
Theory
|
Practical
|
Self/ project/ Industry
|
T
|
P
|
S
|
|
1
|
Mathematical concept for Machine Learning
|
SC
|
4
|
0
|
0
|
4
|
4
|
0
|
0
|
|
2
|
Introduction to Machine Learning
|
SC
|
3
|
4
|
0
|
7
|
3
|
6
|
0
|
|
3
|
Introduction to Neural Networks
|
SC
|
3
|
4
|
0
|
7
|
3
|
6
|
0
|
|
4
|
Introduction to Deep Learning
|
SC
|
2
|
2
|
0
|
4
|
2
|
3
|
0
|
|
5
|
Python Programming
|
SC
|
0
|
2
|
0
|
2
|
0
|
3
|
0
|
|
6
|
Project- I
|
SC
|
0
|
0
|
6
|
6
|
0
|
0
|
12
|
|
|
|
12
|
12
|
6
|
30
|
12
|
18
|
12
|
Semester: Second
|
S. No.
|
Paper Title
|
Paper Category
Skill Compulsory (SC)
Skill Elective (SE)
|
Credits
|
Total Credits
|
EoSE Duration
|
|
Theory
|
Practical
|
Self/ project/ Industry
|
T
|
P
|
S
|
|
1
|
Applications of Machine Learning
|
SC
|
3
|
4
|
0
|
7
|
3
|
6
|
0
|
|
2
|
Elective- 1
|
SE
|
3
|
2
|
0
|
5
|
3
|
3
|
0
|
|
3
|
Elective- 2
|
SE
|
3
|
2
|
0
|
5
|
3
|
3
|
0
|
|
4
|
Industry Internship
|
SC
|
0
|
0
|
7
|
7
|
0
|
0
|
14
|
|
5
|
Project- II
|
SC
|
0
|
0
|
6
|
6
|
0
|
0
|
12
|
|
|
|
9
|
8
|
13
|
30
|
9
|
12
|
26
|