Masters of Computer Applications:Soft ComputingThapar University
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Frequent Asked Questions
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.
Discrete Mathematical Structures
Elements of Electronics Engineering
Problem Solving and Programming in C
Computer Organization and Architecture
Fundamental of Microprocessors and Interfacing
Object Oriented Programming using c++ and Java
System Analysis and Design
Statistics and Combinatorics
Data Base Management System
Design and Analysis of Algorithms
\Advanced Java and Network Programming
Computer Graphics and Multimedia
ERP and Tools
Information and Network Security
Software Project Management
Net Framework and C# Programming
System Development Project
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.