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PhD Computer Science

CURRICULUM STRUCTURE
Duration3-Years
Semesters06
Courses work06 (18 Credit Hours)
DissertationRest of the time will spend on research work (36 Credit Hours)


Semester 0

S.No

Code

Course Title

1

CSC 724

Optimization Methods

2

CSC 726

Data Analytics

3

XXXXXX

Discrete Structure

Semester 1

S.No

Code

Course Title

1

CSC 705

Computational intelligence and Probability

2

CSC 701

Empirical Research

3

CSC 703

Theoretical Computer Science


Semester 2

S.No

Code

Course Title

1

xxxxxx

Elective I

2

xxxxxx

Elective 2

3

xxxxxx

Elective 3

Semester 3

S.No

Code

Course Title

1

xxxxxx

Dissertation I

Semester 4

S.No

Code

Course Title

1

xxxxxx

Dissertation I

Semester 5

S.No

Code

Course Title

1

xxxxxx

Dissertation II

Semester 6

S.No

Code

Course Title

1

xxxxxx

Dissertation II

Domain Elective

S.No

Code

Course Title

Domain

Pre-Requisite

Credit Hour

1

CSC706-PHD@(1390)

Applied Genetic Algorithm

Domain Elective

Artificial Intelligence

3

2

CSC 705

Computational Intelligence & probabilistic Reasoning

Domain Elective

Artificial Intelligence

3

3

CSC-

Modern Heuristic optimization Techniques

Domain Elective

Artificial Intelligence

3

4

CSC

Multi-Agent Systems

Domain Elective

Artificial Intelligence

3

5

CSC

Neuro- Fuzzy Systems

Domain Elective

Artificial Intelligence

3

6

CSC-724-PHD0

Optimization Methods

Domain Elective

None

3

7

CSC 712

Advanced Information Security

Domain Elective

None

3

8

PhD(CS) 702

Advanced Topics in Fog & IOT Computing

Domain Elective

None

3

9

CSC

Advanced Computer Architecture

Domain Elective

None

3

10

PhD

Essentials of Theoretical Computer Science

Domain Elective

None

3

11

PhD(CS)-02

Knowledge Discovery and Data Mining

Domain Elective

None

3

12

PhD(SC)

Research tools and techniques

Domain Elective

None

3