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Home  -  Post Graduate Programs  -  Department of Computer Science Engineering
 
Department of Computer Science Engineering
 
M.E / M.Tech Courses - Software Engineering
Objective
Should have studied in Regular, Full time and Formal Education course of the 10+2 system of Higher Secondary Examination conducted by the State Board or the Central Board of Secondary Education (CBSE, New Delhi) or the Council for Indian School Certificate Examination (ISCE, New Delhi); or.

Typically have strengths in the building, testing, operation, and maintenance of existing computer systems and their associated software systems, whereas baccalaureate degree graduates are well prepared for development and implementation of computer systems.

knowledge and hands-on competence appropriate to the goals of the programme in:
     
  The application of electric circuits, computer programming, associated software applications, analog and digital electronics, microcomputers, operating systems, and local area networks to the building, testing, operation, and maintenance of computer systems and associated software systems.
  The applications of physics or chemistry to computer systems in a rigorous mathematical environment at or above the level of algebra and trigonometry.
  The ability to analyze, designs, and implement hardware and software computer systems.
 
Outcomes
The ability to apply project management techniques to computer systems.

The ability to utilize statistics/probability, transforms methods, discrete mathematics, or applied differential equations in support of computer systems and networks.
Prospects
In spite of the present economic trends, in the information age the demand for Computer engineers for product development and innovative systems in hardware and software across all industries and services will continue to be high.
 
List Of Courses:
Abstractions and Paradigms for Programming Advanced Computer Architecture
Advanced Computer Graphics Advanced Data Networks
Advanced Database Management Systems Advanced JAVA Programming
Advanced Microprocessor Advanced Operating Systems
Advanced Programming Advanced Wireless Networks
Algorithms and Complexity Analytical Models of Computing Systems
Applied Algorithms Approximation Algorithms
Automata Theory and Logic C# and .NET Framework
Cognitive Psychology Combinatorics
Communication Networking Computational Learning Theory
Computational Models in Pattern Recognition & Lear Computer Aided Geometric Design
Computer Graphics Computer Organisation and Design
Computer Programming and Utilization Computer Vision
Data Mining Data Structures and Algorithms
Data Warehousing and Mining Database and Information Systems
Database Modelling and Design Design & Implementation of Functional Programming Languages
Design and Analysis of Algorithms Design and Analysis of Computer Networks
Design and Implementation of Gnu Compiler Generation Framework Discrete Structures
Distributed Algorithms Distributed Operating Systems
Distributed Systems Electronic Commerce
Electronic Design Formal Language and Models for Natural Computing
Formal Methods in Computer Science Formal Specification and Verification of Programs
Foundations of Parallel Computation Functional and Logic Programming
Fundamentals of Digital Image Processing Geometric Algorithms
Graph Theory Graphical Models and Structured Learning
High Performance Microprocessors ICT for Socio-economic Development
Implementation Techniques for Relational Database Systems Information Retrieval & Mining for Hypertext & the Web
Information Security Information Systems
Intro.Computer Systems Introduction to Asynchronous Systems
Introduction to Communication Networks Introduction to Computing with Neural Nets
Introduction to VLSI Design Automation IT Project Management
Language Processors Language Technologies on the Web
Linear Optimization Logic Design
Machine Learning : Theory and Methods Mobile Computing
Modelling and Simulation Multimedia Systems
Natural Language Processing Network Security
New Trends in Information Technology Numerical Computation
Object Oriented Systems Optical and Access Network
Parallel Computing Parallelizing Compilers
Pattern Recognition Performance Analysis of Computer Systems and Network
Principles of Programming Languages Probability and Statistics for Computer Science
Program Analysis Real Time Systems
Reliable Computing Basic Concepts Resource Management Techniques
Self Tuning Systems Software Engineering
Special topics in Network Algorithms Statistical Foundations of Machine Learning
Systems Modelling & Simulation TCP/IP Design and Implementation
Theory of Programming Languages Semantics Topics in Artificial Intelligence Programming
UNIX Internals User Interface Design
 
Laboratories :
Network Lab Case tools lab-Internet Programming lab
Compiler Design Lab Data Structures Lab
Database Management Systems lab Digital Lab
Graphics and Multimedia Lab Microprocessors and Microcontrollers lab
Object Oriented Programming Lab Operating Systems Lab
System Software Lab Visual Programming Lab
 
 
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