Course lectures, hours 42. There are 9 pdf files Introduction to Soft Computing; Fundamentals of Neural Network; Back Propagation Network; Associative Memory; Adaptive Resonance Theory; Fuzzy Set Theory; Fuzzy Systems; Fundamentals of Genetic Algorithms; Hybrid Systems.
Type of Material:
Online course.
Recommended Uses:
This material can be used by instructors either in part or as a whole
Supplemental readings and lecture
Technical Requirements:
Web browser, Adobe Acrobat Reader.
Identify Major Learning Goals:
The lecture material provides an excellent overview and brief explanations about the following topics: * Soft Computing * Fundamentals of Neural Network * Back Propagation Network * Associative Memory * Adaptive Resonance Theory * Fuzzy Set Theory * Fuzzy Systems * Fundamentals of Genetic Algorithms * Hybrid Systems
Target Student Population:
This material is useful for high school or college level students. sophomores or freshmen
Prerequisite Knowledge or Skills:
Basic computer skills, use of browser internet
Content Quality
Rating:
Strengths:
Each topic area is presented in a concise fashion.
The lecture slides, around 398 numbers in pdf format, have gone through three updates. The course is at Jaypee University of Engineering and Technology (JUET), Dept. of Computer Science & Engineering, by a professor
Concerns:
With this being lecture resource material, it would be extremely useful to add more examples, and include assignments for the learners.
Last update was in 2012, 6 years ago
Potential Effectiveness as a Teaching Tool
Rating:
Strengths:
This is a great resource for students and instructors interested in learning more about the Soft Computing topics.
The lecture slides, around 398 numbers in pdf format, have gone through three updates by a professor
Concerns:
the last update was in 2012
Ease of Use for Both Students and Faculty
Rating:
Strengths:
very easy to navigate and you can save the PDF files
Concerns:
none noted
Other Issues and Comments:
the last update was in 2012. So it is outdated
Creative Commons:
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