<<<<<<< HEAD rgpv scheme BTech Grading System 3rd Semester Microsoft Word - B.Tech Scheme AIML III Sem

Rajiv Gandhi ProudyogikiVishwavidyalaya, Bhopal

New Scheme of Examination as per AICTE Flexible Curricula

III Semester Bachelor of Technology (B.Tech.) [CSE-Artificial Intelligence and Machine Learning/ Artificial

Intelligence and Machine Learning]

For batches admitted in July,2020 (w.e.f. July, 2021)


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.

AL301

HSMC-3

Technical Communication

70

20

10

-

-

100

3

1

-

4

2.

AL302

DC-1

Introduction to Probability and Statistics

70

20

10

-

-

100

3

1

-

4

3.

AL303

DC-2

Data Structures

70

20

10

30

20

150

3

-

2

4

4.

AL304

DC-3

Artificial Intelligence

70

20

10

30

20

150

3

-

2

4

5.

AL305

DC-4

Object Oriented Programming & Methodology

70

20

10

30

20

150

3

-

2

4

6.

AL306

DLC-3

Computer Workshop/ Introduction to python - I

-

-

-

30

20

50

-

-

4

2

7.

BT107

DLC-1

Evaluation of Internship-I completed at I year level

-

-

-

-

50

50



4

2

8.

BT307

DLC-4

Internship-II : 90 hrs Internship based on using various softwares

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




Total

350

100

50

120

130

750

15

2

14

24

9.

BT308

MC

Indian Constitution

Non-credit course

NC301

NSS/NCC



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


1HrLecture

1 HrTutorial

2 HrPractical

1Credit

1Credit

1Credit

======= rgpv scheme BTech Grading System 3rd Semester Microsoft Word - B.Tech Scheme AIML III Sem

Rajiv Gandhi ProudyogikiVishwavidyalaya, Bhopal

New Scheme of Examination as per AICTE Flexible Curricula

III Semester Bachelor of Technology (B.Tech.) [CSE-Artificial Intelligence and Machine Learning/ Artificial

Intelligence and Machine Learning]

For batches admitted in July,2020 (w.e.f. July, 2021)


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.

AL301

HSMC-3

Technical Communication

70

20

10

-

-

100

3

1

-

4

2.

AL302

DC-1

Introduction to Probability and Statistics

70

20

10

-

-

100

3

1

-

4

3.

AL303

DC-2

Data Structures

70

20

10

30

20

150

3

-

2

4

4.

AL304

DC-3

Artificial Intelligence

70

20

10

30

20

150

3

-

2

4

5.

AL305

DC-4

Object Oriented Programming & Methodology

70

20

10

30

20

150

3

-

2

4

6.

AL306

DLC-3

Computer Workshop/ Introduction to python - I

-

-

-

30

20

50

-

-

4

2

7.

BT107

DLC-1

Evaluation of Internship-I completed at I year level

-

-

-

-

50

50



4

2

8.

BT307

DLC-4

Internship-II : 90 hrs Internship based on using various softwares

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




Total

350

100

50

120

130

750

15

2

14

24

9.

BT308

MC

Indian Constitution

Non-credit course

NC301

NSS/NCC



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


1HrLecture

1 HrTutorial

2 HrPractical

1Credit

1Credit

1Credit

>>>>>>> html