<<<<<<< HEAD rgpv scheme BTech Grading System 7th Semester Microsoft Word - B.Tech CSE-AIML VII sem scheme june 2023 _2_

Rajiv Gandhi Proudhyogiki Vishwavidyalaya, Bhopal

Scheme of Examination as per AICTE Flexible Curricula

(w.e.f. July, 2023)

VII 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.

AL701

DC-1

Computer Vision

70

20

10

30

20

150

2

1

2

4

2.

AL702

DE

Departmental Elective

70

20

10



100

3

1

0

4

3.

AL703

OE

Open Elective

70

20

10



100

3

-

-

3

4.

AL704

D Lab

Departmental Elective Lab

-

-

-

30

20

50


-

6

3

5.

AL705

O/E Lab

Skill Development Lab

-

-

-

30

20

50

-

-

6

3

6.

AL706

P

Major Project-I

-

-

-

100

50

150

-

-

8

4

7.

AL607

IN

Evaluation of Internship -III





100

100

-

-

6

3

8.

Additional

Credits#

#Additional credits can be earned through successful completion of credit based MOOC’s Courses available on SWAYAM platform (MHRD) at

respective UG level.




Total

210

60

30

190

210

700

8

2

28

24


Departmental Electives

Open Electives

AL702(A) AI in Gaming

AL703(A) Compiler Design

AL702 (B) Advanced Machine Learning

AL703(B) Augmented and Virtual Reality

AL702 (C) Predictive Analytics

AL703(C) Agile Software Development

AL702 (D) Machine Learning for Data Science

AL703(D) Internet and Web Technology


image

======= rgpv scheme BTech Grading System 7th Semester Microsoft Word - B.Tech CSE-AIML VII sem scheme june 2023 _2_

Rajiv Gandhi Proudhyogiki Vishwavidyalaya, Bhopal

Scheme of Examination as per AICTE Flexible Curricula

(w.e.f. July, 2023)

VII 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.

AL701

DC-1

Computer Vision

70

20

10

30

20

150

2

1

2

4

2.

AL702

DE

Departmental Elective

70

20

10



100

3

1

0

4

3.

AL703

OE

Open Elective

70

20

10



100

3

-

-

3

4.

AL704

D Lab

Departmental Elective Lab

-

-

-

30

20

50


-

6

3

5.

AL705

O/E Lab

Skill Development Lab

-

-

-

30

20

50

-

-

6

3

6.

AL706

P

Major Project-I

-

-

-

100

50

150

-

-

8

4

7.

AL607

IN

Evaluation of Internship -III





100

100

-

-

6

3

8.

Additional

Credits#

#Additional credits can be earned through successful completion of credit based MOOC’s Courses available on SWAYAM platform (MHRD) at

respective UG level.




Total

210

60

30

190

210

700

8

2

28

24


Departmental Electives

Open Electives

AL702(A) AI in Gaming

AL703(A) Compiler Design

AL702 (B) Advanced Machine Learning

AL703(B) Augmented and Virtual Reality

AL702 (C) Predictive Analytics

AL703(C) Agile Software Development

AL702 (D) Machine Learning for Data Science

AL703(D) Internet and Web Technology


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