<<<<<<< HEAD rgpv scheme BTech Grading System 7th Semester Microsoft Word - CSE-Data Science I-VIII scheme _1_

Rajiv Gandhi ProudyogikiVishwavidyalaya, Bhopal

(w.e.f. July, 2023

New Scheme of Examination as per AICTE Flexible Curricula

VII Semester Bachelor of Technology (B.Tech.) [CSE - Data Science/Data Science]


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/

Assign ment

End Sem

Term work


L


T


P

Lab Work &

Sessional

1.

CD701

DC-1

Data Engineering

70

20

10

30

20

150

2

1

2

4

2.

CD702

DE

Departmental Elective

70

20

10



150

3

1

-

4

3.

CD703

OE

Open Elective

70

20

10



100

3

-

-

3

4.

CD704

D Lab

Departmental Elective Lab

-

-

-

30

20

50

-

-

6

3

5.

CD705

O/E Lab

Open Elective Lab

-

-

-

30

20

50

-

-

6

3

6.

CD706

P

Major Project-I

-

-

-

100

50

150

-

-

8

4

7.

CD607

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

CD 702(A) Data Analytics & Visualization

CD 703(A) Cryptography & Information Security

CD 702 (B) Wireless and Mobile Computing

CD 703(B) Intelligent Systems for Robotics

CD 702 (C) Cloud Computing

CD 703(C) Computer Vision

CD 702 (D)Advanced statistics for DataScience

CD 703(D) ) Data Mining and Warehousing

======= rgpv scheme BTech Grading System 7th Semester Microsoft Word - CSE-Data Science I-VIII scheme _1_

Rajiv Gandhi ProudyogikiVishwavidyalaya, Bhopal

(w.e.f. July, 2023

New Scheme of Examination as per AICTE Flexible Curricula

VII Semester Bachelor of Technology (B.Tech.) [CSE - Data Science/Data Science]


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/

Assign ment

End Sem

Term work


L


T


P

Lab Work &

Sessional

1.

CD701

DC-1

Data Engineering

70

20

10

30

20

150

2

1

2

4

2.

CD702

DE

Departmental Elective

70

20

10



150

3

1

-

4

3.

CD703

OE

Open Elective

70

20

10



100

3

-

-

3

4.

CD704

D Lab

Departmental Elective Lab

-

-

-

30

20

50

-

-

6

3

5.

CD705

O/E Lab

Open Elective Lab

-

-

-

30

20

50

-

-

6

3

6.

CD706

P

Major Project-I

-

-

-

100

50

150

-

-

8

4

7.

CD607

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

CD 702(A) Data Analytics & Visualization

CD 703(A) Cryptography & Information Security

CD 702 (B) Wireless and Mobile Computing

CD 703(B) Intelligent Systems for Robotics

CD 702 (C) Cloud Computing

CD 703(C) Computer Vision

CD 702 (D)Advanced statistics for DataScience

CD 703(D) ) Data Mining and Warehousing

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