<<<<<<< HEAD rgpv scheme MTech Grading System 2nd Semester Microsoft Word - II Sem AI & Machine Learning _Scheme_

image

Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal(M.P.)

Scheme of Examination (w.e.f. 20-21)

Second Semester- M.E./M.Tech (Artificial Intelligence & Machine Learning, CSE-Artificial Intelligence & Machine Learning)


S.No.

Subject Code

Subject Name

Periods per week

Credits

Maximum Marks (Theory Slot)

Maximum Marks (Practical Slot)

Total Marks

End Sem. Exam.

Tests (Two)

Assign ments

/Quiz

End Sem. Practical

/Viva

Practical Record/ Assignm ent/Quiz

/Present

ation


L


T


P

1.

MTAL 201

Software Project Management

3

1

-

4

70

20

10

-

-

100

2.

MTAL 202

Computational intelligence

3

1

-

4

70

20

10

-

-

100

3.

MTAL 203

Big Data

3

1

-

4

70

20

10

-

-

100

4.

MTAL 204

Deep Learning

3

1

-

4

70

20

10

-

-

100

5.

MTAL 205

Elective II

3

1

-

4

70

20

10

-

-

100

6.

MTAL 206

Lab-III

-

-

6

6

-

-

-

90

60

150

7.

MTAL

207

Lab-IV

-

-

6

6

-

-

-

90

60

150



Total

15

5

12

32

350

100

50

180

120

800

L: Lecture - T: Tutorial - P: Practical


Elective-II:

  1. Reinforcement Learning

  2. Modern Computer Networks

  3. Expert System

  4. Bioinformatics Computing

======= rgpv scheme MTech Grading System 2nd Semester Microsoft Word - II Sem AI & Machine Learning _Scheme_

image

Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal(M.P.)

Scheme of Examination (w.e.f. 20-21)

Second Semester- M.E./M.Tech (Artificial Intelligence & Machine Learning, CSE-Artificial Intelligence & Machine Learning)


S.No.

Subject Code

Subject Name

Periods per week

Credits

Maximum Marks (Theory Slot)

Maximum Marks (Practical Slot)

Total Marks

End Sem. Exam.

Tests (Two)

Assign ments

/Quiz

End Sem. Practical

/Viva

Practical Record/ Assignm ent/Quiz

/Present

ation


L


T


P

1.

MTAL 201

Software Project Management

3

1

-

4

70

20

10

-

-

100

2.

MTAL 202

Computational intelligence

3

1

-

4

70

20

10

-

-

100

3.

MTAL 203

Big Data

3

1

-

4

70

20

10

-

-

100

4.

MTAL 204

Deep Learning

3

1

-

4

70

20

10

-

-

100

5.

MTAL 205

Elective II

3

1

-

4

70

20

10

-

-

100

6.

MTAL 206

Lab-III

-

-

6

6

-

-

-

90

60

150

7.

MTAL

207

Lab-IV

-

-

6

6

-

-

-

90

60

150



Total

15

5

12

32

350

100

50

180

120

800

L: Lecture - T: Tutorial - P: Practical


Elective-II:

  1. Reinforcement Learning

  2. Modern Computer Networks

  3. Expert System

  4. Bioinformatics Computing

>>>>>>> html