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Department of Computer Science Engineering

 
M.E / M.Tech Courses - Computer Science 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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