<<<<<<< HEAD rgpv scheme BTech Grading System 8th Semester Microsoft Word - AIDS SCHEME VIII SEM

Rajiv Gandhi ProudyogikiVishwavidyalaya, Bhopal

New Scheme of Examination as per AICTE Flexible Curricula

VIII Semester Bachelor of Technology (B.Tech.) Artificial Intelligence and Data Science


For batches admitted in July, 20 (w.e.f. July, 2021)


S.N

o.


Subject Code


Categ ory


Subject Name

Maximum Marks Allotted


Total Mar ks

Contact

Hours per week


Total Credi ts

Theory

Practical

End Sem

Mid Sem Exam

Quiz/ Assignment

End Sem

Term work


L


T


P

Lab Work &

Sessional

1.

AD801

DC

Big Data

70

20

10

30

20

150

2

1

2

4

2.

AD802

DE

Departmental Elective

70

20

10

-

-

100

3

1

-

4

3.

AD803

OE

Open Elective

70

20

10

-

-

100

3

-

-

3

4.

AD804

D/O/E Lab

Departmental/Open Elective lab

-

--

-

30

20

50

-

-

6

3

5.

AD805

P

Major Project-II

-

-

-

70

30

100

-

-

8

4

6.

Additional Credits#

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

level.




Total

210

60

30

130

70

500

8

2

16

18


Departmental Electives

Open Electives

802 (A) Natural Language Processing

803 (A)AI for Remote Sensing

802 (B)Reinforcement Learning

803 (B) Augmented & Virtual Reality

802 (C)Robotic Process Automation

803(C) Managing Innovation and Entrepreneurship

# These Open Electives can be offered to students of all branches including the AI & DS branch. However, they can be offered to students of Non-AI&DS branches only if they have not taken any similar courses previously and have sufficient knowledge of pre-requisite courses (if any) of respective open electives subject.


image

1 Hr Lecture 1 Hr Tutorial 2 Hr Practical

1 Credit1 Credit1 Credit

======= rgpv scheme BTech Grading System 8th Semester Microsoft Word - AIDS SCHEME VIII SEM

Rajiv Gandhi ProudyogikiVishwavidyalaya, Bhopal

New Scheme of Examination as per AICTE Flexible Curricula

VIII Semester Bachelor of Technology (B.Tech.) Artificial Intelligence and Data Science


For batches admitted in July, 20 (w.e.f. July, 2021)


S.N

o.


Subject Code


Categ ory


Subject Name

Maximum Marks Allotted


Total Mar ks

Contact

Hours per week


Total Credi ts

Theory

Practical

End Sem

Mid Sem Exam

Quiz/ Assignment

End Sem

Term work


L


T


P

Lab Work &

Sessional

1.

AD801

DC

Big Data

70

20

10

30

20

150

2

1

2

4

2.

AD802

DE

Departmental Elective

70

20

10

-

-

100

3

1

-

4

3.

AD803

OE

Open Elective

70

20

10

-

-

100

3

-

-

3

4.

AD804

D/O/E Lab

Departmental/Open Elective lab

-

--

-

30

20

50

-

-

6

3

5.

AD805

P

Major Project-II

-

-

-

70

30

100

-

-

8

4

6.

Additional Credits#

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

level.




Total

210

60

30

130

70

500

8

2

16

18


Departmental Electives

Open Electives

802 (A) Natural Language Processing

803 (A)AI for Remote Sensing

802 (B)Reinforcement Learning

803 (B) Augmented & Virtual Reality

802 (C)Robotic Process Automation

803(C) Managing Innovation and Entrepreneurship

# These Open Electives can be offered to students of all branches including the AI & DS branch. However, they can be offered to students of Non-AI&DS branches only if they have not taken any similar courses previously and have sufficient knowledge of pre-requisite courses (if any) of respective open electives subject.


image

1 Hr Lecture 1 Hr Tutorial 2 Hr Practical

1 Credit1 Credit1 Credit

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