<<<<<<< HEAD rgpv scheme MTech Grading System 3rd Semester Microsoft Word - III Sem AI & Machine Learning _Scheme_ - Copy

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

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

Third 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. Practic al/Viva

Practical Record/ Assignm ent/Quiz

/Present

ation


L


T


P

1.

MTAL 301

Elective III

3

1

-

4

70

20

10

-

-

100

2.

MTAL 302

Elective IV

3

1

-

4

70

20

10

-

-

100

3.

MTAL 303

Seminar

-

-

4

4

-

-

-

-

100

100

4.

MTAL 304

Dissertation Part- I

(Literature Review/Problem

Formulation/ Synopsis)

-

-

8

8

-

-

-

120

80

200



Total

6

2

12

20

140

40

20

120

180

500



L: Lecture - T: Tutorial - P: Practical


Elective-III: Elective-IV:

  1. Computer Vision & Robotics (A) Machine learning in Computer Vision & Robotics

  2. Natural Language Processing (B) Machine learning in natural language processing

  3. Information Security (C) Machine learning in information Security

  4. Internet of Things (D) Machine learning in internet of things

======= rgpv scheme MTech Grading System 3rd Semester Microsoft Word - III Sem AI & Machine Learning _Scheme_ - Copy

image

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

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

Third 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. Practic al/Viva

Practical Record/ Assignm ent/Quiz

/Present

ation


L


T


P

1.

MTAL 301

Elective III

3

1

-

4

70

20

10

-

-

100

2.

MTAL 302

Elective IV

3

1

-

4

70

20

10

-

-

100

3.

MTAL 303

Seminar

-

-

4

4

-

-

-

-

100

100

4.

MTAL 304

Dissertation Part- I

(Literature Review/Problem

Formulation/ Synopsis)

-

-

8

8

-

-

-

120

80

200



Total

6

2

12

20

140

40

20

120

180

500



L: Lecture - T: Tutorial - P: Practical


Elective-III: Elective-IV:

  1. Computer Vision & Robotics (A) Machine learning in Computer Vision & Robotics

  2. Natural Language Processing (B) Machine learning in natural language processing

  3. Information Security (C) Machine learning in information Security

  4. Internet of Things (D) Machine learning in internet of things

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