Invitation letter regarding reopening of Institute

Dear Students,

Enclosed please find the invitation letter containing guidance in connection with reopening of the Institute for your information and compliance, please. In case of any query, please contact the Student Affairs Department of the Institute.
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Faculty of Computer Sciences and Engineering

Courses Offered:

MS degrees

The courses offered by the FCSE are categorized as core courses, faculty and inter-faculty electives. An MS student, specializing in any area, will be required to take all the core courses and a minimum of two courses from one of the areas of concentration. The remaining courses are electives and can be selected from the faculty elective courses or from those offered by other faculties.

 

PhD degrees

The courses to be taken up by a student will be decided by the student’s PhD Guidance Committee and approved by the Dean of Graduate School. Out of eight courses, at least five must be from the list of FCSE courses and the remainder from other faculties.

 

COURSE WORK

Core Courses (for CE)

S. No.

Code

Course Title

Cr. Hrs.

1

CSE 501

Advanced Algorithms and Computational Techniques

3

2

CSE 503

Advanced Operating Systems

3

3

CSE 504

Advanced Computer Architecture

3

4

CSE 602

Probability and Stochastic Processes

3

 

 

Specialization Electives

 

Software Engineering

 

S. No.

Code

Course Title

Cr. Hrs.

1

CSE 517

Semantic Web

3

2

CSE 518

Web Engineering

3

3

CSE 541

Advanced Software Engineering

3

4

CSE 542

Software Testing and Reliability

3

5

CSE 543

Advanced Software Quality Assurance

3

6

CSE 544

Advanced Human Computer Architecture

3

7

CSE 545

Software Risk Management

3

8

CSE 546

Advanced Human Computer Interaction

3

9

CSE 547

Formal Methods in Software Engineering

3

10

CSE 549

Software Process Engineering

3

11

CSE 550

Software Process Management and Improvement

3

 

Database Management and Data Mining

S. No.

Code

Course Title

Cr. Hrs.

1

CSE 551

Advanced Database Management Systems

3

2

CSE 552

Multimedia and Hypermedia Systems

3

3

CSE 553

Data Mining

3

4

CSE 554

Big Data Analytics

3

 

 

 

Digital Signal Processing

S. No.

Code

Course Title

Cr. Hrs.

1

CSE 573

Statistical Signal Processing

3

2

CSE 574

Video Signal processing

3

3

CSE 576

Speech and Audio Processing

3

 

Digital Image Processing and Computer Vision

S. No.

Code

Course Title

Cr. Hrs.

1

CSE532

Signal & Image Processing

3

2

CSE 533

Pattern Recognition/VR based Systems

3

3

CSE 534

Advanced Computer Graphics

3

4

CSE 535

Advance Image Processing

3

5

CSE 536

Medical Image Processing

3

6

CSE 537

Multimedia Systems

3

7

CSE 538

Computer Vision

3

8

CSE 540

Image and Video Coding

3

9

CSE 632

Machine Learning

3

10

CSE 633

Digital Image Watermarking

3

11

CSE 681

Optical Computing

3

 

 

Computer Networks and Distributed Computing

S. No.

Code

Course Title

Cr. Hrs.

1

CSE 521

Queuing Theory/Computer Networks II

3

2

CSE 522

Mobile and Wireless Networks

3

3

CSE 523

Advanced Security and Forensics

3

4

CSE 524

Multimedia Services Over IP Networks

3

5

CSE 525

Parallel and Distributed Computing

3

6

CSE 526

Cluster and Cloud Computing

3

7

CSE 527

Routing and Switching

3

8

CSE 528

High Performance Networks

3

9

CSE 529

Mobile and Pervasive Computing

3

 

 

 

Communications

 

S. No.

Code

Course Title

Cr. Hrs.

1

CSE 581

Advanced Digital Communication

3

2

CSE 582

Advanced Mobile & Wireless Communication

3

3

CSE 583

QOS in Telecommunication Networks

3

 

 

Artificial Intelligence and Scientific Computing

 

S. No.

Code

Course Title

Cr. Hrs.

1

CSE 561

Advanced Artificial Intelligence

3

2

CSE 562

Advance Artificial Neural Networks

3

3

CSE 563

Knowledge Engineering & Expert Systems

3

4

CSE 564

Pattern Recognition

3

5

CSE 565

Genetic Algorithms / Evolutionary Computation

3

6

CSE 566

Knowledge Management

3

7

CSE 568

Information Retrieval and Query Processing

3

8

CSE 571

Graph Theory

3

9

CSE 572

Natural Language Processing

3

10

CSE 573

Statistical Image Processing

3

11

CSE 574

Finite Element Methods

3

12

CSE 660

Advance Numerical and Simulation Techniques

3

13

CSE 661

Machine Learning and Computer Vision        

3

14

CSE 671

Analysis of Stochastic Processes

3

 

Advance Topics

S. No.

Code

Course Title

Cr. Hrs.

1

CSE 511

Theory of Automata II

3

2

CSE 512

Compiler Construction

3

3

CSE 513

Quantum Computing

3

4

CSE 636

Advance Numerical and Simulation Techniques

3

 

Duration of the MS Program and semester wise workload:

 

The courses offered by the FCSE are categorized as core courses, faculty and inter-faculty electives. An MS student, specializing in any area, will be required to take three out of four core courses and a minimum of two courses from one of the areas of concentration. The remaining courses are elective and can be selected from the FCSE elective courses or from those offered by other faculties.

 

Semester 1

S. No.

Code

Course Title

Cr. Hrs.

1

CSE

Core -1

3

2

CSE

Core -2

3

3

CSE

Elective – I

3

 

Semester 2

S. No.

Code

Course Title

Cr. Hrs.

1

CSE

Core -3

3

2

CSE

Elective II

3

3

CSE

Elective – III

3

 

 

Semester 3

S.No.

Code

Course Title

Cr. Hrs.

1

CSExx

Elective – IV

3

2

CSExx

Elective – V

3

3

CSE599

Thesis-I

3

 

Semester 4

S.No.

Code

Course Title

Cr. Hrs.

1

CSE599

Thesis-2

3

 

 

 

Duration of the PhD Program and semester wise workload:

 

The courses offered by the FCSE are categorized as core courses, faculty and inter-faculty electives. A PhD student, specializing in any area, will be required to take courses that PhD Guidance Committee decides and approved by the Dean of Graduate School. Out of eight at least five must be from the list of FCSE courses and the remaining courses may be from other faculties.

 

Semester 1

S.No.

Code

Course Title

Cr. Hrs.

1

CSE

Core -1

3

2

CSE

Core -2

3

3

CSE

Elective - I

3

 

 

 

Semester 2

S.No.

Code

Course Title

Cr. Hrs.

1

CSE

Core -3

3

2

CSE

Elective – II

3

3

CSE

Elective – III

3

 

Semester 3

S.No.

Code

Course Title

Cr. Hrs.

1

CSE

Elective – IV

3

2

CSE

Elective – V

3

3

CSE

Thesis-I

3

 

Semester 4

S.No.

Code

Course Title

Cr. Hrs.

1

CSE

Thesis-II

3

 

 

 

Semester 5

S.No.

Code

Course Title

Cr. Hrs.

1

CSE

Thesis-III

3

 

 

Semester 6

S.No.

Code

Course Title

Cr. Hrs.

1

CSE

Thesis-IV

3

 

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