<<<<<<< HEAD rgpv scheme BTech Grading System 5th Semester Microsoft Word - B.Tech V sem CSE-AIDS scheme-2022

Rajiv Gandhi Proudhyogiki Vishwavidyalaya, Bhopal

Scheme of Examination as per AICTE Flexible Curricula

V Semester Bachelor of Technology (B.Tech) [Artificial Intelligence & Data Science]



S.No.


Subject Code


Cat ego ry


Subject Name

Maximum Marks Allotted


Total Marks

Contact Hours per week


Total Credits

Theory

Practical

End Sem.

Mid Sem. Exam.

Quiz/ Assignment


End Sem

Term work


L


T


P

Lab Work & Sessional

1.

AD-501

DC

Theory of Computation

70

20

10

30

20

150

3

-

2

4

2.

AD-502

DC

Machine Learning

70

20

10

30

20

150

3

-

2

4

3.

AD-503

DE

Departmental Elective

70

20

10

-

-

100

3

1

-

4

4.

AD-504

OE

Open Elective

70

20

10

-

-

100

3

-

-

3

5.

AD-505

D Lab

Departmental Elective Lab

-

-

-

30

20

50

-

-

4

2

6.

AD-506

Lab

Linux Lab

-

-

-

30

20

50

-

-

4

2

7.

BT-407

IN

Evaluation of Internship-II

-

-

-

-

100

100

-

-

6

3

8.


IN

Internship – III

To be completed anytime during Fifth/Sixth semester. Its evaluation/credit to be added in Seventh Semester.

9.

AD-508

P

Minor Project- I

-

-

-

-

50

50



4

2

10.

Additional Credits#

#Additional credits can be earned through successful completion of credit based MOOCs Courses available on SWAYAM platform (MHRD) at respective UG level.




Total

280

80

40

120

230

750

12

1

22

24


Departmental Electives

Open Electives

AD-503 (A) Internet and Web Technology

AD-504 (A) Management Information System

AD-503 (B) Computer Graphics & Multimedia

AD-504 (B) Game Theory with Engineering Applications

AD-503 (C)Computer Organization & Architecture

AD-504 (C) Operations Research



image

1 Hr Lecture   1 Hr Tutorial 2 Hr Practical

1 Credit1 Credit1 Credit

======= rgpv scheme BTech Grading System 5th Semester Microsoft Word - B.Tech V sem CSE-AIDS scheme-2022

Rajiv Gandhi Proudhyogiki Vishwavidyalaya, Bhopal

Scheme of Examination as per AICTE Flexible Curricula

V Semester Bachelor of Technology (B.Tech) [Artificial Intelligence & Data Science]



S.No.


Subject Code


Cat ego ry


Subject Name

Maximum Marks Allotted


Total Marks

Contact Hours per week


Total Credits

Theory

Practical

End Sem.

Mid Sem. Exam.

Quiz/ Assignment


End Sem

Term work


L


T


P

Lab Work & Sessional

1.

AD-501

DC

Theory of Computation

70

20

10

30

20

150

3

-

2

4

2.

AD-502

DC

Machine Learning

70

20

10

30

20

150

3

-

2

4

3.

AD-503

DE

Departmental Elective

70

20

10

-

-

100

3

1

-

4

4.

AD-504

OE

Open Elective

70

20

10

-

-

100

3

-

-

3

5.

AD-505

D Lab

Departmental Elective Lab

-

-

-

30

20

50

-

-

4

2

6.

AD-506

Lab

Linux Lab

-

-

-

30

20

50

-

-

4

2

7.

BT-407

IN

Evaluation of Internship-II

-

-

-

-

100

100

-

-

6

3

8.


IN

Internship – III

To be completed anytime during Fifth/Sixth semester. Its evaluation/credit to be added in Seventh Semester.

9.

AD-508

P

Minor Project- I

-

-

-

-

50

50



4

2

10.

Additional Credits#

#Additional credits can be earned through successful completion of credit based MOOCs Courses available on SWAYAM platform (MHRD) at respective UG level.




Total

280

80

40

120

230

750

12

1

22

24


Departmental Electives

Open Electives

AD-503 (A) Internet and Web Technology

AD-504 (A) Management Information System

AD-503 (B) Computer Graphics & Multimedia

AD-504 (B) Game Theory with Engineering Applications

AD-503 (C)Computer Organization & Architecture

AD-504 (C) Operations Research



image

1 Hr Lecture   1 Hr Tutorial 2 Hr Practical

1 Credit1 Credit1 Credit

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