<<<<<<< HEAD rgpv scheme MCA 2 Year Grading System 3rd Semester Microsoft Word - III Sem _Scheme MCA

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Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal(M.P.)

Scheme of Examination (w.e.f. 2020-2021)

Third Semester- Master of Computer Application


S.No.

Subject

Code

Subject Name

Periods per week

Credits

Maximum Marks

(Theory Slot)

Maximum Marks

(Practical Slot)

Total

Marks

End Sem.

Exam.

Tests

(Two)

Assignm

ents/Qui z

End Sem.

Practical/Viv a

Practical

Record/Qui z/Assignme nt/Present ation


L


T


P

1.

MCA 301

Data Mining

3

1

-

4

70

20

10

-

-

100

2.

MCA 302

Artificial Intelligence

3

1

-

4

70

20

10

-

-

100

3.

MCA 303

Elective – I

3

1

-

4

70

20

10

-

-

100

4.

MCA 304

Elective-II

3

1

-

4

70

20

10

-

-

100

5.

MCA 305

Elective-III

3

1

-

4

70

20

10

-

-

100

6.

MCA 306

Minor Project

-

-

8

8

-

-

-

120

80

200

7.

MCA 307

Elective -1 Lab

-

-

2

2




30

20

50



Total

15

5

10

30

350

100

50

150

100

750


L: Lecture - T: Tutorial - P: Practical


Elective – I

Elective-II

Elective-III

1. Python

1.Machine Learning

1. Computer Ethics

2. Web Technology

2. Soft Computing

2. Advanced Databases

3. Introduction to data Science and big data

3 Internet of Things

3. Distributed Systems

======= rgpv scheme MCA 2 Year Grading System 3rd Semester Microsoft Word - III Sem _Scheme MCA

image

Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal(M.P.)

Scheme of Examination (w.e.f. 2020-2021)

Third Semester- Master of Computer Application


S.No.

Subject

Code

Subject Name

Periods per week

Credits

Maximum Marks

(Theory Slot)

Maximum Marks

(Practical Slot)

Total

Marks

End Sem.

Exam.

Tests

(Two)

Assignm

ents/Qui z

End Sem.

Practical/Viv a

Practical

Record/Qui z/Assignme nt/Present ation


L


T


P

1.

MCA 301

Data Mining

3

1

-

4

70

20

10

-

-

100

2.

MCA 302

Artificial Intelligence

3

1

-

4

70

20

10

-

-

100

3.

MCA 303

Elective – I

3

1

-

4

70

20

10

-

-

100

4.

MCA 304

Elective-II

3

1

-

4

70

20

10

-

-

100

5.

MCA 305

Elective-III

3

1

-

4

70

20

10

-

-

100

6.

MCA 306

Minor Project

-

-

8

8

-

-

-

120

80

200

7.

MCA 307

Elective -1 Lab

-

-

2

2




30

20

50



Total

15

5

10

30

350

100

50

150

100

750


L: Lecture - T: Tutorial - P: Practical


Elective – I

Elective-II

Elective-III

1. Python

1.Machine Learning

1. Computer Ethics

2. Web Technology

2. Soft Computing

2. Advanced Databases

3. Introduction to data Science and big data

3 Internet of Things

3. Distributed Systems

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