M.Sc. (Information Technology) Soft Computing Techniques Practical Syllabus - Mumbai University 2026
This is the University of Mumbai syllabus for M.Sc. (Information Technology) under NEP 2020, in force from the academic year 2024-25. Semesters I and II are set by item 6.29 (N) and Semesters III and IV by item 6.2 (N). The University examines this programme under form 1113161, whose Summer 2026 timetable is headed NEP-2020; the distance and older Choice Based modes of the same degree are examined under different forms and different papers.
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Syllabus for Soft Computing Techniques Practical
- 1 Implement the following: A Design a simple linear neural network model. B Calculate the output of neural net using both binary and bipolar sigmoidal function. 2 Implement the following:
- I A Generate AND/NOT function using McCulloch-Pitts neural net. B Generate XOR function using McCulloch-Pitts neural net. 3 Implement the Following A Write a program to implement Hebb’s rule. B Write a program to implement of delta rule. 4 Implement the Following A Write a program for Back Propagation Algorithm B Write a program for error Backpropagation algorithm. 5. Implement the Following
- II A Write a program for Hopfield Network. B Write a program for Radial Basis function 6. Implement the Following A Kohonen Self organizing map B Adaptive resonance theory 7. Implement the Following A Write a program for Linear separation. B Write a program for Hopfield network model for associative memory 8. Implement the Following A Membership and Identity Operators | in, not in, III b. Membership and Identity Operators is, is not 9. Implement the Following A Find ratios using fuzzy logic B Solve Tipping problem using fuzzy logic 10. Implement the Following A Implementation of Simple genetic algorithm B Create two classes: City and Fitness using Genetic algorithm Course Outcomes(COs) Upon completing this course, the student will be able to: OC 1: Identify and describe soft computing techniques and their roles in building intelligent machines OC 2: Recognize the feasibility of applying a soft computing methodology for a particular problem OC 3: Apply fuzzy logic and reasoning to handle uncertainty and solve engineering problems OC 4: Apply genetic algorithms to combinatorial optimization problems OC 5: Apply neural networks for classification and regression problems OC 6: Effectively use existing software tools to solve real problems using a soft computing approach OC 7: Evaluate and compare solutions by various soft computing approaches for a given problem.
Reproduced from the University of Mumbai syllabus for M.Sc. (Information Technology) under NEP 2020, in force from the academic year 2024-25. Wording, unit numbering and lecture allocation are as printed in that syllabus. The PDF above is the syllabus's own page, unaltered.
The complete syllabus
This subject is cut from the University circular for the whole diploma. Open it here if you want the whole thing rather than a single subject.
Use Part 1 or Part 2 NEP first so the module scope matches your Mumbai University exam.
Use MSc IT notes only after confirming the semester units and topic order.
Open MSc IT question papers after the syllabus check so revision follows the same course structure.