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Home - Under Graduate Programs - Department of Computer Science Engineering

Department of Computer Science Engineering

B.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.		Prof. Dr. Rajkumar Buyya, University of Melbourne, Director, Manjrasoft Pty Ltd., Melbourne, Australia with Chancellor after exchanging MoU in Manjrasoftware
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
Compiler Design Lab	Data Structures Lab
Database Management Systems lab	Digital Lab
Graphics and Multimedia Lab	Microprocessors and Microcontrollers Lab
Object Oriented Programming Lab	Microprocessor Lab
Internet Programming lab	Operating Systems Lab