Ph.D. Admission Details (K.U. Kurukshetra)
Form Advt. : August
Last Date of Form submission: 30th Sept.
Entrance Test : November
Result December(Pre) and Jan (Main)
Course Work: Feb-March to Aug-Sept.
Guide Allocation: October

1. Entrance Test Syllabu2 Course Work Syllbus3. Sample Q.4.PhD Ordinance

Ph.D. Submission

Ph.D Related Forms and Letters

1. Topic Approval23 Chairman Forwarding4 No Dues56 Chairman Forwarding

M.Tech Syllabus Proposed                                      M.Tech. Syllabus (Old)

MCA I,  II ,  III and IV Semester Syllabus (Non-CBCS) w.e.f. 2020-21


Scheme of Examination for Master of Computer Applications ( CBCS )

w. e. f. Academic Session 2020-21

Paper Code

Nomenclature of Paper

Credits

Workload Per Week (Hrs.)

Exam Time (Hrs.)

External Marks

Internal Marks

Total Marks

Pass Marks

Max.

Pass

First Semester

MCA-20-11

Programming in Java

4

4

3

75

30

25

100

40

MCA-20-12

Data Structures using C++

4

4

3

75

30

25

100

40

MCA-20-13

Operating Systems

4

4

3

75

30

25

100

40

MCA-20-14

Data Communication and Computer Networks

4

4

3

75

30

25

100

40

MCA-20-15

Object-Oriented Analysis and Design using UML

4

4

3

75

30

25

100

40

MCA-20-16

S/W Lab – I Based on MCA-20-11

2.5

5

3

100

40

100

40

MCA-20-17

S/W Lab – II Based on MCA-20-12

2.5

5

3

100

40

100

40

Total

25

30

 

575

230

125

700

280

Second Semester

MCA-20-21

Web Technologies

4

4

3

75

30

25

100

40

MCA-20-22

Linux And Shell Programming

4

4

3

75

30

25

100

40

MCA-20-23

Advanced Data Base Systems

4

4

3

75

30

25

100

40

MCA-20-24

Elective-I

4

4

3

75

30

25

100

40

MCA-20-25

Elective-II

4

4

3

75

30

25

100

40

MCA-20-26

S/W Lab – III Based on MCA-20-21 and MCA-20-23

2.5

5

3

100

40

100

40

MCA-20-27

S/W Lab – IV Based on MCA-20-22

2.5

5

3

100

40

100

40

OE-20-28

Open Elective Based on MOOCs ( The selected course should not be directly related with Computer Science ) Or As Per University Guidelines

2

2

3

35

14

15

50

20

Total

27

32

 

610

244

140

750

300

Elective – I

MCA-20-24 (i)

Principles of Programming Languages

4

4

3

75

30

25

100

40

MCA-20-24 (ii)

High Performance Networks

4

4

3

75

30

25

100

40

MCA-20-24 (iii)

Compiler Design

4

4

3

75

30

25

100

40

Elective – II

MCA-20-25 (i)

Theory of Computation

4

4

3

75

30

25

100

40

MCA-20-25 (ii)

Design and Analysis of Algorithms

4

4

3

75

30

25

100

40

MCA-20-25 (iii)

Security in Computing

4

4

3

75

30

25

100

40

Summer Training/Internship (Industry Based)

MCA-20-ST

Summer Training/Internship

8

Viva Voce

150

60

50

200

80

Total

8

 

150

60

50

200

80

Note:Summer Training/Internship will be held immediately after 2nd Semester Examination and will be having a minimum duration of 45 days and maximum duration of 60 days. Viva-Voce will be held during 3rd Semester.

Third Semester

MCA-20-31

Computer Architecture and Parallel Processing

4

4

3

75

30

25

100

40

MCA-20-32

Data Mining and Integration using R

4

4

3

75

30

25

100

40

MCA-20-33

Artificial Intelligence

4

4

3

75

30

25

100

40

MCA-20-34

Elective-III

4

4

3

75

30

25

100

40

MCA-20-35

Elective-IV

4

4

3

75

30

25

100

40

MCA-20-36

S/W Lab – V Based on Mca-20-32

2.5

5

3

100

40

100

40

MCA-20-37

S/W Lab – VI Based on Mca-20-35

2.5

5

3

100

40

100

40

OE-20-38

Open Elective Based on MOOCs ( The selected course should not be directly related with Computer Science ) Or As Per University Guidelines

2

2

3

35

14

15

50

20

Total

27

32

 

610

244

140

750

300

Elective – III

MCA-20-34 (i)

Cloud Computing and IoT

4

4

3

75

30

25

100

40

MCA-20-34 (ii)

Cyber Security

4

4

3

75

30

25

100

40

MCA-20-34 (iii)

Digital Marketing

4

4

3

75

30

25

100

40

Elective – IV

MCA-20-35 (i)

Advances in Java

4

4

3

75

30

25

100

40

MCA-20-35 (ii)

Advanced Web Technologies

4

4

3

75

30

25

100

40

MCA-20-35 (iii)

Programming with Kotlin

4

4

3

75

30

25

100

40

Fourth Semester

MCA-20-41

Big Data and Pattern Recognition

4

4

3

75

30

25

100

40

MCA-20-42

Computer Graphics and Animation

4

4

3

75

30

25

100

40

MCA-20-43

Mobile Application Development

4

4

3

75

30

25

100

40

MCA-20-44

Elective-V

4

4

3

75

30

25

100

40

MCA-20-45

Elective-VI

4

4

3

75

30

25

100

40

MCA-20-46

S/W Lab – VII Based on MCA-20-41 and MCA-20-42

2.5

5

3

100

40

100

40

MCA-20-47

Project Based on MCA-20-43

2.5

5

3

75

30

25

100

40

Total

25

30

 

550

220

150

700

280

Grand Total

112

124

 

2495

998

605

3100

1240

Elective – V

MCA-20-44 (i)

Soft Computing

4

4

3

75

30

25

100

40

MCA-20-44 (ii)

Machine Learning using Python

4

4

3

75

30

25

100

40

MCA-20-44(iii)

Digital Image Processing

4

4

3

75

30

25

100

40

Elective – VI

MCA-20-45(i)

Optimization Techniques

4

4

3

75

30

25

100

40

MCA-20-45(ii)

Information Systems

4

4

3

75

30

25

100

40

MCA-20-45(iii)

Blockchain Architecture

4

4

3

75

30

25

100

40

 

Note 1: Every student has to earn 2 credits by selecting an open elective/MOOC course during second and third semester.

Note 2: The credits for the first year will be 52(25+27) and for the second year will be 52(27+25). In addition to this there shall be 8 credits for summer training/internship. Total credits of the course will be 52+52+8 = 112.

Note 3:For the purpose of computation of work-load the following mechanism may be adopted:

  • 1 Credit = 1 Theory period of one hour duration
  • 1 Credit = 1 Practical period of two hour duration

Note 4: Internal assessment in each theory paper will be awarded by the concerned teacher on the basis of marks obtained in class test(s) and/or evaluation of attendance/assignments/seminars/quizzes/etc.

Note 5: Size of groups for all practicals should not be more than thirty students.

M.Sc I, II, III and IV Semester Syllabus                                                 M.Sc Old Syllabus