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Computer Science and Engineering
About the Department Facilities Subjects of Study Faculty Profile

Semester 3

  • Database Management Systems
  • Digital Systems
  • Electrical Engineering and Control Systems
  • Introduction to Analysis of Algorithms
  • Mathematics III
  • System Software
  • Digital Lab
  • System Software and DBMS Lab

Semester 5

  • Analog, Digital and Data Communications
  • Digital Signal Processing
  • Elective I
  • Microprocessors
  • Operating Systems
  • Theory of Computation
  • Microprocessor Lab
  • Operating Systems Lab

Semester 7

  • Principles of Environmental Science and Engineering
  • Object Oriented System Analysis and Design
  • Principles of Management
  • Network protocols, Management and Security
  • Web Technology
  • Professional Ethics
  • Internet Programming Lab
  • Software Systems Development Lab

List of Electives

ELECTIVE I

  • Numerical Methods
  • Neural Computing
  • Multimedia
  • Advanced Databases
  • Visual Programming

ELECTIVE I

  • Parallel Computing
  • Algorithms for VLSI Design Automation
  • Parallel Algorithms
  • ATM Networks
  • Software Testing
  • Advanced Software Engineering
  • Custom Computing
  • Resource Management Technique
  • Distributed Objects
  • TCP/IP-Design and Implementation
  • Component ware Architectures
  • Mainframe Computing
  • Quantum Computing

Semester 4

  • Artificial Intelligence
  • Computer Architecture I
  • Electronic Circuits
  • Interactive Computer Graphics
  • Object Oriented Programming
  • Probability and Queuing Theory
  • Electronics Lab
  • Object Oriented Programming Lab

Semester 6

  • Computer Architecture II
  • Computer Networks
  • Elective II
  • Engineering Economics and Financial Accounting
  • Principles of Compiler Design
  • Software Engineering
  • Compiler Lab
  • Network Programming Lab

Semester 8

  • Elective III
  • Total Quality Management
  • Project Work









ELECTIVE II

  • Advanced Operating System
  • Design of Algorithms
  • Real Time Systems
  • Digital Speech and Image Processing
  • Pattern Recognition
  • High Performance Microprocessors
  • Robotics
  • Graph Theory
  • UNIX Internals
  • Java Virtual Machine
  • C# and .NET Framework