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Post-Graduate Programmes in CSE
The International Institute of Information Technology has a number of
Post-Graduate programmes at the Masters and the Ph.D. levels. The
M.Tech. programmes involve an optional project work. The MS by Research
and Ph.D. programmes are completely research oriented. In Computer
Science and Engineering, the institute has M.Tech, MS by Research, and
Ph.D. programmes. The curriculum and other details of the programme are
given in thsi document.
Curriculum
Master of Technology (M.
Tech.) in CSE
| Semester
I |
|
| CS3000 |
Advanced Problem Solving |
4-0-4-6 |
| CS3301 |
Computer Systems |
4-1-3-6 |
| CS3001 |
Scripting & Computer Environments |
2-0-2-3 |
| MA3201 |
Discrete Mathematics & Algorithms
|
3-0-2-4 |
Semester II |
|
| CS3105 |
Algorithms |
3-0-2-4 |
| CS3400 |
Database Management Systems |
3-0-2-4 |
| CS3600 |
Software Engineering |
3-0-2-4 |
|
Elective |
|
| CS3002 |
Software Technologies (H1) |
2-0-2-2 |
Semester III |
|
| CS3350 |
Computer Networks |
3-0-2-4 |
|
Elective |
|
|
Elective |
|
|
Elective |
|
Semester IV |
|
| |
Elective |
|
|
Elective |
|
|
Elective |
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|
Elective |
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Note:
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A student can get a waiver from any of the courses listed as compulsory
if he or she can demonstrate the knowledge of the course. The
instructor
who is offering the course should be approached with this request. The
instructor will evaluate the student and recommend to the Dean. The
student
should then substitute that course slot with another course being
offered
that semester of level 3000 or above.
-
A student can substitute a maximum of 5 electives in Semesters III and
IV with projects done under a faculty member. A student can also
combine
these into a single 20 credit M.Tech. project. This project can be done
at an industry with a co-advisor in the institute to ensure the
academic
content of the project.
M. S. by
Research in CSE
| Semester
I |
|
|
Breadth Elective |
|
| |
Breadth Elective |
|
|
Stream Elective |
|
|
Stream/Breadth Elective |
|
Semester II |
|
|
|
Breadth Elective |
|
|
Stream Elective |
|
|
Elective |
|
|
Stream/Breadth Elective |
|
|
Literature Survey |
|
Semester III |
|
|
| CS9900 |
MS Thesis |
0-0-16-16 |
Semester IV |
|
|
| CS9900 |
MS Thesis |
0-0-16-16 |
Ph. D.
The Ph. D. programme does not have any suggested curriculum outline.
The
students should take courses to build up their background for the
breadth
qualifiers and to equip them for the research work. They must satisfy
the
course requirements before being eligible to take the depth qualifiers.
Streams and
Courses
The stream names and the courses that belonging to the stream are
listed
below. In all cases, there is a basic course in the stream and there
are
several advanced courses. The basic courses of each stream is listed in
boldface
followed by the advanced courses. Courses shown in italics are
auxiliary
stream courses ``owned'' by another stream.
-
AI/NLP: Artificial Intelligence. Introduction to
NLP, Machine
Translation & Information Extraction, Semantics, Speech Processing,
Multi-Agent systems. PR, SC.
-
Data Engineering: Introduction to DBMS. Distributed
DBMS,
Database Implementation, Data Warehousing & Data Mining, Web Data
&
Knowledge Management. PR, MAS.
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Visual Information Processing: Image Processing or
Computer Graphics.
Computer Graphics, Image Processing, Computer Vision, Multimedia, Soft
Computing, Pattern Recognition. AI, DSP.
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VLSI & Embedded Systems: Microprocessor Design.
Embedded
Systems, VLSI 1, VLSI 2, VLSI 3, VHDL. DSP.
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Communications: Digital Signal Processing or
Telecommunications,
Digital Communications, Advanced Communications, Cryptography. Networks,
IP.
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Computer Systems: Computer Networks. Performance
Evaluation,
Advanced Computer Networks. Microprocessors, ES, DC.
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Theory and Algorithms: Algorithms Theory of
Computation,
Formal Methods, Advanced Algorithms. FM.
-
Programming Languages: Principles of Programming
Languages.
Programming Language Processors, Formal Methods.
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Optimization & Numerical Analysis: PR, SC.
List and
Schedule of Courses
The semester-wise list of elective/flexi-core courses of 3000 or higher
level offered at the institute are given below. This list is indicative
only. The offerings may change in the future.
| Monsoon Semester:
Introduction to NLP
Distributed DBMS
Web Data & Knowledge Management
Database Implementation
Digital Image Processing
Multimedia Systems
Pattern Recognition
Principles of Programming Languages
Programming Language Processors
Microprocessor Design
VLSI Algorithms
Digital Design with VHDL
Analog and Mixed Signal Design
Digital Communications
Computer Networks
Software Engineering
|
| Spring Semester:
Artificial Intelligence
NLP Semantics
Machine Translation & Information Extraction
Multi-Agent Systems
Speech Processing
Database Management Systems
Data Warehousing & Data Mining
Performance Evaluation of Computer Systems
Applied Data Mining
Computer Graphics
Computer Vision
Advanced Signal & Image Processing
Soft Computing
Computer Architecture
Embedded Systems
Mathematical Methods in VLSI Design
Digital Signal Processing
Telecommunications
Cryptography
Algorithms
Theory of Computation
Advanced Algorithms
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