Masters of Computer Applications:Soft Computing

Thapar University
In Patiala

Price on request
You can also call the Study Centre
17523... More
Compare this course with other similar courses
See all

Important information

  • Master
  • Patiala
  • Duration:
    3 Years
Description

Important information
Venues

Where and when

Starts Location
On request
Patiala
Thapar University P.O Box 32, 147004, Punjab, India
See map

Frequent Asked Questions

· Requirements

Recognised Bachelors degree of minimum 3 years duration in any discipline with Mathematics at least at 10+2 school level and has also qualified in the Entrance Test to be conducted by the University.OR Recognised Bachelor's Degree of minimum 3 years duration in any discipline with Mathematics as one of the subjects and has also qualified in the Entrance Test to be conducted by the University.

Course programme

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.


Compare this course with other similar courses
See all