M.C.A

M.C.A

Ever since its inception in 1974, this School has been trying to meet the computing needs of different Schools in JNU and offering specially designed courses for their students.

The teaching is specially designed to integrate inputs from statistics, operations research, algebra and combinatories, digital electronics, systems software, artificial intelligence, computer architecture and programming languages. A training and placement cell has beenset up at the School to maintain liason with various government and industrial organizations to facilitate employment for the students.

The various programmes offered in the School of Computer and System Sciences are M.C.A. (6semesters), M.Tech. (3 semesters) and Ph.D. These courses are designed to provide the necessary theoretical background and practical experience in Computer Science and Applications, to meet the growing manpower requirements of the Global Software Industry.

After the completion of the course, the students are fully competent to enter the Global IT- world as well as the fields of Research & Development at prestigious institutions in India and abroad.

The admission to M.Tech programme is based on an All India Examination , conducted by the University at different centres spread all over the country, followed by an extensive interview. On an average 25 students for M.Tech. are selected every year. On an average 30 students for M.C.A. are selected. These students are selected from about 12,000 applicants appearing for the Entrance Examination. This makes the success rate of getting through as tough as I in every 400 applicants. The last semester for M.C.A. course is meant for an Industrial Project, where as, each M.Tech. student has to work in the chosen field under the guidance of a Professor and has to submit a dissertation at the end of the third semester.

The courses in the School are well organized to provide a wide spectrum of choices to the students. The faculty and the students interests include a wide area of Computer's Database Systems, Artificial Intelligence,Computer Networks & Distributed Computining:, Numerical Analysis, Computer Graphics, Mathematical Modeling, Statistical Methods, Optimization Techniques (Operational Research),OOPS, Advanced DBMS (OODBMS, Distributed DBMS etc.), Software Engeering etc.

Optional courses allow the students to choose a particular field according to their areas of interest. The students here undergo an intensive training on the latest and the stand alone PCs and workstations, which, coupled with the best possible faculty, provides an ideal platform for bringing out excellent professional software developers, IT-managers, and computer engineers for the IT-industry.

Semester I

Semester II
Programming using Structured Language

Data Structures
Digital System Design

Systems Programming
Discrete Mathematics

Computer Architecture
Computational Linear Algebra

Comparative Study of Programming
Computational Probability and Statistical Methods.


Semester III

Semester IV
Compulsory
Algorithms

Software Engineering
Database Management Systems


Mathematical Foundations of computre Science


Electives
Computer Graphics

Object Oriented Programming and systems
Artificial Intelligence

Advanced Topics in Cognitive sciences
Computer Network and Distributed Systems

Algorithmic Optimization
Computer Construction

Computational Numerical Methods
Microprocessor based system design

Distributrd Applications Programming
Computer Network in Architecture & Operating Systems

Advanced Topics in DBMS(OODBMS, Intelligent, Distributed Database)


Modeling of Computer Systems


Enterprise Computering


Advanced topics in Computer Graphics


Advanced topics in Theory of Computations
Semester V

Semester VI
Advanced topics in theory of Computations

Industrial Project
Advanced topics in Language


Advanced topics in Architecture and Operating Systems


Advanced topics in Software Engineering


Advanced topics in Algorithm


Advanced topics in Scientific Computing


Advanced topics in Compute Network and Distributed Systems


Graphical User Interface


Strategies for I.T.Management


Advanced topics in AI and Cognitive Sciences