<<<<<<< HEAD rgpv scheme BTech Grading System 5th Semester Microsoft Word - B.Tech V sem CSE-AIML scheme-2022 (1)

Rajiv Gandhi Proudhyogiki Vishwavidyalaya, Bhopal

Scheme of Examination as per AICTE Flexible Curricula

V Semester Bachelor of Technology (B.Tech.) [CSE-Artificial Intelligence and Machine Learning/ Artificial

Intelligence and Machine Learning]



S.No.


Subject Code


Category


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.

AL-501

DC

Operating Systems

70

20

10

30

20

150

3

-

2

4

2.

AL-502

DC

Database Management

Systems

70

20

10

30

20

150

3

-

2

4

3.

AL-503

DE

Departmental Elective

70

20

10

-

-

100

3

1

-

4

4.

AL-504

OE

Open Elective

70

20

10

-

-

100

3

-

-

3

5.

AL-505

D Lab

Departmental Elective Lab

-

-

-

30

20

50

-

-

4

2

6.

AL-506

O/ELab

Open Elective Lab

-

-

-

30

20

50

-

-

4

2

7.

AL-507

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.

AL-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 respectiveUG level.




Total

280

80

40

120

230

750

12

1

22

24


Departmental Electives

Open Electives

AL 503 (A) Information Retrieval

AL 504 (A) AI in Health Care

AL503 (B) Deep Learning

AL 504 (B) Natural Language Processing

AL 503 (C) Optimization Techniques in Machine Learning

AL 504 (C) Computational Intelligence

======= rgpv scheme BTech Grading System 5th Semester Microsoft Word - B.Tech V sem CSE-AIML scheme-2022 (1)

Rajiv Gandhi Proudhyogiki Vishwavidyalaya, Bhopal

Scheme of Examination as per AICTE Flexible Curricula

V Semester Bachelor of Technology (B.Tech.) [CSE-Artificial Intelligence and Machine Learning/ Artificial

Intelligence and Machine Learning]



S.No.


Subject Code


Category


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.

AL-501

DC

Operating Systems

70

20

10

30

20

150

3

-

2

4

2.

AL-502

DC

Database Management

Systems

70

20

10

30

20

150

3

-

2

4

3.

AL-503

DE

Departmental Elective

70

20

10

-

-

100

3

1

-

4

4.

AL-504

OE

Open Elective

70

20

10

-

-

100

3

-

-

3

5.

AL-505

D Lab

Departmental Elective Lab

-

-

-

30

20

50

-

-

4

2

6.

AL-506

O/ELab

Open Elective Lab

-

-

-

30

20

50

-

-

4

2

7.

AL-507

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.

AL-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 respectiveUG level.




Total

280

80

40

120

230

750

12

1

22

24


Departmental Electives

Open Electives

AL 503 (A) Information Retrieval

AL 504 (A) AI in Health Care

AL503 (B) Deep Learning

AL 504 (B) Natural Language Processing

AL 503 (C) Optimization Techniques in Machine Learning

AL 504 (C) Computational Intelligence

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