Indian Statistical Institute M.Tech Computer Science

Hello sir, here I came to get admission in Indian Statistical Institute for M.Tech Computer Science. Can any one provide me course structure of M.Tech in computer science?

[Shaleen]

Indian Statistical Institute is the first institute in Asia to acquire a digital compute and in India to participate in successfully building an indigenous digital computer.

ISI offers a two-year degree programme on M.Tech. in Computer Science is being offered in Kolkata since 1981. It is a One of the first postgraduate degrees in Computer Science offered in India.

Eligibility:

Candidates have knowledge of mathematics at the graduate level, and
Those who possess any one of the following minimum academic qualifications:
Candidate shave a Master's degree in Mathematics / Statistics / Physics / Electronics / Computer Science / Computer Applications (MCA)/ Business Administration (MBA)

Also have a Bachelor's degree in Engineering/Technology, or any other qualification considered equivalent (such as AMIE, GRAD-IETE).

Course Structure for M.Tech In Computer Science:

1st year, 1st semester:
Discrete Mathematics
Data and File Structures
Three from the following List A as advised by the faculty based on the background of the student:

List A
Introduction to Programming
Data and File Structures Laboratory
Computer Organization
Elements of Algebraic Structures
Probability and Stochastic Processes
Principles of Programming Languages.

1st year, 2nd semester:
Computer Networks
Design and Analysis of Algorithms
Automata, Languages and Computation
Database Management Systems
Operating Systems

2nd year, 1st semester:

Five electives to be selected from the List B of courses, as advised by the faculty based on the background of the student and Dissertation (to be continued through the fourth semester).
Dissertation (to be continued to 2nd semester)

2nd year, 2nd semester:

Two electives to be selected from the List B of courses given below and Dissertation (continued from the third semester).
Dissertation (to be completed)

List B:
Computer Architecture
Compiler Construction
Software Engineering
Cryptology
Information and Coding Theory
Advanced Cryptology
Information Security and Assurance
Topics in Algebraic Computation
Optimization Techniques
Advanced Algorithms for Graph and Combinatorial Optimization Problems
Multi-dimensional Search and Computational Geometry
Combinatorial Geometry
Topics in Algorithms and Complexity
Computational Complexity
Quantum Information Processing and Quantum Computation
Computational Finance
Algorithmic Game Theory
Computational Molecular Biology and Bioinformatics
Parallel Processing: Architectures and Algorithms
Formal Aspects of Programming Languages and Methodology
Logic for Computer Science
Formal Methods in Computer Science - Selected topics
Logic Programming and Deductive Databases
Lambda-Calculus, Combinators and Functional Programming,
Advanced Operating Systems
Advanced Database Theory and Applications
Real Time Systems
Robotics
Distributed Computing Systems
Mobile Computing
Software Design and Validation
VLSI Design and Algorithms
Nanotechnology and Biochips
VLSI Testing and Fault-tolerance
Internet and Multimedia Technologies
Digital Signal Processing
Pattern Recognition and Image Processing
Artificial Intelligence and Expert Systems
Advanced Web Technology/Advanced Internet Programming
Advanced Pattern Recognition
Advanced Image Processing
Computer Vision
Computer Graphics
Data Mining
Analysis of Remote Sensing Images
Fuzzy Logic and Applications
Neural Networks and Applications
Document Processing and Retrieval
Selected Topics on recent developments in Computer Science as suggested by the faculty

Address:

Indian Statistical Institute,
8th Mile, Mysore Road,
R.V.College Post,
Bangalore 560059, India