<<<<<<< HEAD rgpv scheme BTech Grading System 4th Semester Microsoft Word - AIDS IV Sem Scheme

Rajiv Gandhi Proudhyogiki Vishwavidyalaya, Bhopal

Scheme of Examination as per AICTE Flexible Curricula

IV Semester Bachelor of Technology (B.Tech) [Artificial Intelligence & Data Science]

For batches admitted in July, 2020 (w.e.f. Jan, 2022)


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.

BT 401

BSC

Mathematics III

70

20

10

-

-

100

3

1

-

4

2.

AD402

DC

Database Management Systems

70

20

10

30

20

150

4

0

2

5

3.

AD403

DC

Software Engineering with Agile

Methodology

70

20

10

30

20

150

4

0

2

5

4.

AD404

DC

Data Science

70

20

10

30

20

150

3

0

2

4

5.

AD405

DC

Operating Systems

70

20

10

30

20

150

3

0

2

4

6.

AD406

DLC*

Data Analytics using tools

R/Power BI/Table au

-

-

-

30

20

50

-

-

4

2

7.

BT407

DLC

Internship II: 90 hrs Internship

based on using various softwares

To be completed anytime during fourth semester. Its evaluation/credit to be added in fifth semester.

3



Total

350

100

50

150

100

750

17

1

12

24

8.

BT408

MC

Cyber Security

Audit course

9

BT409I

MC

Indian Knowledge System

Audit course


NC001


NSS/NCC


*A minimum of 2 hrs per week should be allotted for the Virtual Lab along with the slot fixed for the conventional lab classes.

MST: Minimum of two mid semester tests to be conducted.

*Students can earn additional credits from the University recognized MOOC courses.


image

image

1 Credit 1 Credit 1 Credit

1 Hr Lecture 1 Hr Tutorial 2 Hr Practical

======= rgpv scheme BTech Grading System 4th Semester Microsoft Word - AIDS IV Sem Scheme

Rajiv Gandhi Proudhyogiki Vishwavidyalaya, Bhopal

Scheme of Examination as per AICTE Flexible Curricula

IV Semester Bachelor of Technology (B.Tech) [Artificial Intelligence & Data Science]

For batches admitted in July, 2020 (w.e.f. Jan, 2022)


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.

BT 401

BSC

Mathematics III

70

20

10

-

-

100

3

1

-

4

2.

AD402

DC

Database Management Systems

70

20

10

30

20

150

4

0

2

5

3.

AD403

DC

Software Engineering with Agile

Methodology

70

20

10

30

20

150

4

0

2

5

4.

AD404

DC

Data Science

70

20

10

30

20

150

3

0

2

4

5.

AD405

DC

Operating Systems

70

20

10

30

20

150

3

0

2

4

6.

AD406

DLC*

Data Analytics using tools

R/Power BI/Table au

-

-

-

30

20

50

-

-

4

2

7.

BT407

DLC

Internship II: 90 hrs Internship

based on using various softwares

To be completed anytime during fourth semester. Its evaluation/credit to be added in fifth semester.

3



Total

350

100

50

150

100

750

17

1

12

24

8.

BT408

MC

Cyber Security

Audit course

9

BT409I

MC

Indian Knowledge System

Audit course


NC001


NSS/NCC


*A minimum of 2 hrs per week should be allotted for the Virtual Lab along with the slot fixed for the conventional lab classes.

MST: Minimum of two mid semester tests to be conducted.

*Students can earn additional credits from the University recognized MOOC courses.


image

image

1 Credit 1 Credit 1 Credit

1 Hr Lecture 1 Hr Tutorial 2 Hr Practical

>>>>>>> html