<<<<<<< HEAD rgpv scheme BTech Grading System 6th Semester Microsoft Word - Data Science VI sem scheme

Rajiv Gandhi Proudhyogiki Vishwavidyalaya, Bhopal

Scheme of Examination as per AICTE Flexible Curricula

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

(w.e.f. Jan, 2023)




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.

CD601

DC

Deep Learning

70

20

10

30

20

150

2

1

2

4

2.

CD602

DC

Computer Networks

70

20

10

30

20

150

2

1

2

4

3.

CD603

DE

Departmental Elective

70

20

10

-

-

100

4

-

0

4

4.

CD604

OE

Open Elective

70

20

10

-

-

100

4

-

0

4

5.

CD605

D Lab

DE Lab

-

-

-

30

20

50

-

-

6

3

6.

CD606

O/E Lab

OE Lab

-

-

-

30

20

50

-

-

6

3

7.

CD607

IN

Internship-III

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

8.

CD608

P

Minor Project II

-

-

-

-

50

50

-

-

4

2

9.

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

280

80

40

120

130

650

12

2

20

24


image

Departmental Electives

CD 603 (A)Big Data Analytics CD 603 (B)Data Acquisition

CD 603 (C) Advanced Database Management Systems

Open Electives CD 604(A) Information Extraction and Retrieval CD 604(B) Agile Software Development

CD 604 (C) Natural Language Processing


1HrLecture

1 HrTutorial

2 HrPractical

1Credit

1Credit

1Credit


image

======= rgpv scheme BTech Grading System 6th Semester Microsoft Word - Data Science VI sem scheme

Rajiv Gandhi Proudhyogiki Vishwavidyalaya, Bhopal

Scheme of Examination as per AICTE Flexible Curricula

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

(w.e.f. Jan, 2023)




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.

CD601

DC

Deep Learning

70

20

10

30

20

150

2

1

2

4

2.

CD602

DC

Computer Networks

70

20

10

30

20

150

2

1

2

4

3.

CD603

DE

Departmental Elective

70

20

10

-

-

100

4

-

0

4

4.

CD604

OE

Open Elective

70

20

10

-

-

100

4

-

0

4

5.

CD605

D Lab

DE Lab

-

-

-

30

20

50

-

-

6

3

6.

CD606

O/E Lab

OE Lab

-

-

-

30

20

50

-

-

6

3

7.

CD607

IN

Internship-III

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

8.

CD608

P

Minor Project II

-

-

-

-

50

50

-

-

4

2

9.

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

280

80

40

120

130

650

12

2

20

24


image

Departmental Electives

CD 603 (A)Big Data Analytics CD 603 (B)Data Acquisition

CD 603 (C) Advanced Database Management Systems

Open Electives CD 604(A) Information Extraction and Retrieval CD 604(B) Agile Software Development

CD 604 (C) Natural Language Processing


1HrLecture

1 HrTutorial

2 HrPractical

1Credit

1Credit

1Credit


image

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