DAV UNIVERSITY JALANDHAR FACULTY OF SCIENCE

DAV UNIVERSITY JALANDHAR

FACULTY OF SCIENCE

Course Scheme and Syllabus

for

Master of Science in Computer Science

(Two Years Degree Course)

1st to 4th Semester

(As per Choice Based Credit System)

Syllabi Applicable for 2021 Batch

Master of Science in Computer Science

Syllabus 2021-23

Duration: 2 years (4 Semesters)

Eligibility: B.Tech/BE in relevant subject/BCA/B.Sc. (CS)/B.Sc. (IT)/BIT or

equivalent from any recognized university with at least 50% aggregate marks

(45% in case of candidate belonging to SC/ST) or a bachelor¡¯s degree with

Computers/Mathematics/ Statistics /Business Mathematics /Business Statistics/

Quantitative Techniques as compulsory/elective/optional/additional subject with

at least 50% aggregate marks (45% in case of candidate belonging to SC/ST).

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Master of Science in Computer Science

Syllabus 2021-23

Semester 1

S.No

Paper

Code

Course Title

Discrete Mathematical

Structures

Advanced Database

Management System

Data Structures and File

Processing

Course

Type

L

T

P

Cr

Core

4

0

0

4

Core

4

0

0

4

Core

4

0

0

4

1

CSA517

2

CSA518

3

CSA519

4

CSA520

Software Testing and Quality

Assurance

Core

4

0

0

4

5

CSA521

Python Programming

Core

4

0

0

4

Core

0

0

4

2

Core

0

0

4

2

Core

0

0

4

2

20

0

12

26

L

T

P

Cr

4

0

0

4

Core

4

0

0

4

Core

4

0

0

4

Core

4

0

0

4

Core

4

0

0

4

Core

0

0

4

2

Core

0

0

4

2

Core

0

0

4

2

20

0

12

26

6

CSA522

7

CSA523

8

CSA524

Advanced Database

Management Systems

Laboratory

Data Structures and File

Processing Laboratory

Python Programming

Laboratory

Semester 2

S.No

1

2

3

4

5

Paper

Code

CSA510

CSA577

CSA578

CSA579

CSA580

CSA516

6

7

8

CSA581

CSA582

Course Title

Computer Networks and

Data Communication

Design and Analysis of

Algorithms

Computer Based

Optimization Techniques

Interactive Computer

Graphics

Theory of Computer Science

Computer Networks and

Data Communication

Laboratory

Design and Analysis of

Algorithms Laboratory

Interactive Computer

Graphics Laboratory

Page 3 of 64

Course

Type

Core

Master of Science in Computer Science

Syllabus 2021-23

Semester 3

S. No

1

2

Paper

Code

CSAXXX

Course Title

Course Type

L

T

P

Cr

DSE

Core

4

4

0

0

0

0

4

4

Core

4

0

0

4

Discipline Elective-I

3

CSA623

CSA627

.NET Framework and C#

Research Methodology

4

CSA629

Advances in Operating

System

Core

4

0

0

4

5

CSA676

Artificial Intelligence

Core

4

0

0

4

6

CSA624

Core

0

0

4

2

Core

0

0

4

2

7

CSA679

.NET Framework and C#

Laboratory

Artificial Intelligence

(LISP and PROLOG)

Laboratory

20

0

8

24

Course Type

L

T

P

Cr

Semester 4

S. No

Course Title

1

CSAXXX

Discipline Elective-I

DSE

4

0

0

4

2

CSAXXX

Discipline Elective-I

DSE

4

0

0

4

3

CSAXXX

Discipline Elective-I

DSE

4

0

0

4

4

CSAXXX

Discipline Elective-II

DSE

0

0

4

2

5

CSAXXX

Discipline Elective-II

DSE

0

0

4

2

6

CSA689

Major Project

DSE

0

0

16

8

12

0

24

24

0

0

48

24

OR

7

CSA600

DSE

On Job Training*

Page 4 of 64

Master of Science in Computer Science

Syllabus 2021-23

Discipline

CSA605

CSA609

CSA616

CSA619

CSA632

CSA633

CSA634

CSA635

CSA671

CSA675

Elective-I

Data Mining and Data Warehousing

Information Systems

System Simulation and Modeling

Advanced Software Engineering

Big Data Analytics

Machine Learning

Internet of Things

R Programming

Microprocessor and Its

Applications

Distributed and Parallel Processing

CSA678

CSA682

CSA683

CSA691

Digital Image Processing

Soft Computing

System Software

Natural Language Processing

Discipline

CSA639

CSA640

CSA641

CSA642

CSA680

CSA689

Elective-II

Big Data Analytics Laboratory

Machine Learning Laboratory

Internet of Things Laboratory

R programming Laboratory

Digital Image Processing

Laboratory

Major Project

Note: The Major Project will include the development of application/system software under the

supervision of internal supervisor assigned from the department. For evaluation, 20% weightage

will be given to the synopsis of the project and 80% weightage will be given to the Viva, Project

Execution, and Project Report.

*As per the university policy, in the case of On Job Training/Live Project Training which

ranges for a period of three months to 6 months, student shall be evaluated on the basis of written

report of On Job Training/Live Project Training for the award of marks in the course by the

committee constituted for this purpose.

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