<<<<<<< HEAD rgpv scheme MTech Grading System 1st Semester Microsoft Word - I sem AI & Machine Learning _Scheme_

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

Scheme of Examination (w.e.f. 2020-21)

First 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 101

Data Structures & Algorithms

3

1

-

4

70

20

10

-

-

100

2.

MTAL

102

Advances in

Operating System

3

1

-

4

70

20

10

-

-

100

3.

MTAL 103

Mathematics for Machine Learning

3

1

-

4

70

20

10

-

-

100

4.

MTAL

104

Machine Learning

3

1

-

4

70

20

10

-

-

100

5.

MTAL

105

Elective I

3

1

-

4

70

20

10

-

-

100

6.

MTAL

106

Lab-I (101 and 102)

-

-

6

6

-

-

-

90

60

150

7.

MTAL

107

Lab-II (104 and Elective I)

-

-

6

6

-

-

-

90

60

150



Total

15

5

12

32

350

100

50

180

120

800



L: Lecture - T: Tutorial - P: Practical

Elective I : (A) Programming System (B) Data Engineering (C) Database Engineering (D) Artificial intelligence

======= rgpv scheme MTech Grading System 1st Semester Microsoft Word - I sem AI & Machine Learning _Scheme_

image

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

Scheme of Examination (w.e.f. 2020-21)

First 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 101

Data Structures & Algorithms

3

1

-

4

70

20

10

-

-

100

2.

MTAL

102

Advances in

Operating System

3

1

-

4

70

20

10

-

-

100

3.

MTAL 103

Mathematics for Machine Learning

3

1

-

4

70

20

10

-

-

100

4.

MTAL

104

Machine Learning

3

1

-

4

70

20

10

-

-

100

5.

MTAL

105

Elective I

3

1

-

4

70

20

10

-

-

100

6.

MTAL

106

Lab-I (101 and 102)

-

-

6

6

-

-

-

90

60

150

7.

MTAL

107

Lab-II (104 and Elective I)

-

-

6

6

-

-

-

90

60

150



Total

15

5

12

32

350

100

50

180

120

800



L: Lecture - T: Tutorial - P: Practical

Elective I : (A) Programming System (B) Data Engineering (C) Database Engineering (D) Artificial intelligence

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