Masters of Computer Applications:Soft Computing

Semester I


Discrete Mathematical Structures
Elements of Electronics Engineering
Problem Solving and Programming in C
Operating Systems
Computer Organization and Architecture


Semester II

Data Structures
Fundamental of Microprocessors and Interfacing
Object Oriented Programming using c++ and Java
System Analysis and Design
Statistics and Combinatorics


Semester III


Software Engineering
Data Base Management System
Design and Analysis of Algorithms
Operations Research
Computer Networks


Semester IV

\Advanced Java and Network Programming
Computer Graphics and Multimedia
ERP and Tools


Semester V

Information and Network Security
Software Project Management
Net Framework and C# Programming


Semester VI

System Development Project


Soft Computing

Neural Networks: History, overview of biological Neuro-system, Mathematical Models of Neurons, ANN architecture, Learning rules, Learning Paradigms-Supervised, Unsupervised and reinforcement Learning, ANN training algorithms-perceptions, Training rules, Delta, Back Propagation Algorithm, Multilayer Perceptron Model, Hopfield Networks, Associative Memories, Applications of Artificial Neural Networks to different problems

Fuzzy Logic: Overview of Classical Sets introduction to Fuzzy Logic, Classical and Fuzzy Sets:, Membership Function, Fuzzy rule generation.

Operations on Fuzzy Sets: Compliment, Intersections, Unions, Combinations of Operations, aggregation Operations.

Fuzzy Arithmetic: Fuzzy Numbers, Linguistic Variables, Arithmetic Operations on Intervals & Numbers, Lattice of Fuzzy Numbers, Fuzzy Equations.

Introduction of Neuro-Fuzzy Systems, Architecture of Neuro Fuzzy Networks.

Applications of Fuzzy Logic: Medicine, Economics etc.

Genetic Algorithm: An Overview of GA, GA operators, GA in problem solving, implementation of GA.

Laboratory Work: Design and implementation of neural networks, genetic algorithms in various search problems.