B.Sc. (Data Science) Soft Computing Practical Syllabus - Mumbai University
This is the Fourth Year BSc Data Science Honours syllabus under NEP 2020, phased in one year at a time, from the academic year 2024-25. The University still sets the earlier Choice Based papers alongside it for ATKT candidates, so check which scheme your exam form names before you revise.
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Syllabus for Soft Computing Practical
Module I
- 1. Write a program to implement logical gates AND, OR and NOT with McCulloch-Pitts. 2. Write a program to implement Hebb’s rule. 3. Implement Kohonen Self organizing map. 4. Solve the Hamming network given the exemplar vectors. 5. Write a program for implementing BAM network.
Module II
- 1. Implement a program to find the winning neuron using MaxNet. 2. Implement De-Morgan’s Law. 3. Implement Union, Intersection, Complement and Difference operations on fuzzy sets. 4. Create fuzzy relation by Cartesian product of any two fuzzy sets 5. Perform max-min composition on any two fuzzy relations. 10 Text Books 1. Artificial Intelligence and Soft Computing by Anandita Das Bhattacharya, SPD, 3rd edition 2018 2. Principles of Soft computing by S.N.Sivanandam S.N.Deepa , Wiley, 3rd edition, 2019 3. Neuro-Fuzzy and Soft Computing by J.S.R.Jang, C.T.Sun and E.Mizutani, Prentice Hall of India, 1st edition, 2004 11 Reference Books 1. Neural Networks, Fuzzy Logic and Genetic Algorithms: Synthesis & Applications by S.Rajasekaran, G. A. Vijayalakshami , Prentice Hall of India, 1st edition, 2004 2. Fuzzy Logic with Engineering Applications, Timothy J.Ross, McGrawHill 1st edition, 1997 3. Genetic Algorithms: Search, Optimization and Machine Learning by Davis E.Goldberg, Addison Wesley, 1st edition, 1989 4. Introduction to AI and Expert System by Dan W. Patterson, Prentice Hall of India, 2nd edition, 2009 12 Semester End Examination: 100%
Text Books
- 1 Artificial Intelligence and Soft Computing by Anandita Das Bhattacharya, SPD, 3rd edition 2018
- 2 Principles of Soft computing by S.N.Sivanandam S.N.Deepa , Wiley, 3rd edition, 2019
- 3 Neuro-Fuzzy and Soft Computing by J.S.R.Jang, C.T.Sun and E.Mizutani, Prentice Hall of India, 1st edition, 2004
- 1 Neural Networks, Fuzzy Logic and Genetic Algorithms: Synthesis & Applications by S.Rajasekaran, G. A. Vijayalakshami , Prentice Hall of India, 1st edition, 2004
- 2 Fuzzy Logic with Engineering Applications, Timothy J.Ross, McGrawHill 1st edition, 1997
- 3 Genetic Algorithms: Search, Optimization and Machine Learning by Davis E.Goldberg, Addison Wesley, 1st edition, 1989
- 4 Introduction to AI and Expert System by Dan W. Patterson, Prentice Hall of India, 2nd edition, 2009
Reproduced from the University of Mumbai syllabus for B.Sc. (Data Science) under NEP 2020. Wording is as printed in that syllabus. Module numbering is as printed there too.
The complete syllabus
This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.