<<<<<<< HEAD rgpv scheme MTech Grading System 2nd Semester Microsoft Word - Scheme of second Sem mtech csds

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

Scheme of Examination (w.e.f. 22-23)

Second Semester- M.E./M.Tech. Computer Science and Engineering (Data Science)

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.

MTCD 201


Statistical

Foundations For Data Science

3

1

-

4

70

20

10

-

-

100

2.

MTCD 202

Deep Learning

3

1

-

4

70

20

10

-

-

100

3.

MTCD 203

Computational Intelligence

3

1

-

4

70

20

10

-

-

100

4.

MTCD 204

Recommender Systems

3

1

-

4

70

20

10

-

-

100

5.

MTCD

205

Elective II

3

1

-

4

70

20

10

-

-

100

6.

MTCD 206

Lab-III

-

-

6

6

-

-

-

90

60

150

7.

MTCD

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. EXPERT SYSTEM

  2. RESEARCH METHODOLOGY AND IPR

  3. NATURAL LANGUAGE PROCESSING THEORY

  4. BUSINESS STATISTICS & ANALYTICS

======= rgpv scheme MTech Grading System 2nd Semester Microsoft Word - Scheme of second Sem mtech csds

image

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

Scheme of Examination (w.e.f. 22-23)

Second Semester- M.E./M.Tech. Computer Science and Engineering (Data Science)

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.

MTCD 201


Statistical

Foundations For Data Science

3

1

-

4

70

20

10

-

-

100

2.

MTCD 202

Deep Learning

3

1

-

4

70

20

10

-

-

100

3.

MTCD 203

Computational Intelligence

3

1

-

4

70

20

10

-

-

100

4.

MTCD 204

Recommender Systems

3

1

-

4

70

20

10

-

-

100

5.

MTCD

205

Elective II

3

1

-

4

70

20

10

-

-

100

6.

MTCD 206

Lab-III

-

-

6

6

-

-

-

90

60

150

7.

MTCD

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. EXPERT SYSTEM

  2. RESEARCH METHODOLOGY AND IPR

  3. NATURAL LANGUAGE PROCESSING THEORY

  4. BUSINESS STATISTICS & ANALYTICS

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