MF41601: Soft Computing

MF41601
Course name	Soft Computing
Offered by	Mechanical Engineering
Credits	3
Previous Year Grade Distribution
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Semester	{{{semester}}}

Syllabus

MF41601 Soft Computing (3-0-0-3) Genetic Algorithms: introduction, mathematical foundation, computer implementation, genetic based machine learning, applications. Neural Networks: introduction, multi-layer networks, recurrent networks, learning paradigms. Fuzzy Control: an industrial perspective, knowledge based system for process control, mathematics of fuzzy control, nonlinear and adaptive fuzzy control. Chaos: complexity and simplicity, evolution of possibilities, simple models of chaos, strange attractors, deterministic chaos, self-organisation, synergetics. Evolutionary Computing: hybrid intelligent system, evolutionary dynamics, evolutionary engineering and its application. p-component (Manufacturing software lab): Development of software for the control of network based distributed and real time systems using techniques based on Corba, Java and XML etc. Development of software for collaboration using agents and other approaches. Development of process control software using neural network, fuzzy logic, genetics and other emerging approaches.

Time Table

Day	8:00-8:55 am	9:00-9:55 am	10:00-10:55 am	11:00-11:55 am	12:00-12:55 pm		2:00-2:55 pm	3:00-3:55 pm	4:00-4:55 pm	5:00-5:55 pm
Monday
Tuesday
Wednesday					NR422
Thursday				NR422
Friday		NR422