B.E. (Computer Engineering) Optimization in Machine Learning Lab Syllabus - Mumbai University 2026
The University has moved this degree onto NEP 2020 one year at a time. The first and second years are NEP 2020 syllabi; the third and fourth years are still examined on the REV-2019 'C' Scheme, which is what the University sets for them this year.
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Syllabus for Optimization in Machine Learning Lab
Module 1: To implement Gradient Descent algorithm
Module 2: To implement the Stochastic Gradient Descent algorithm
Module 3: To implement Newton method
Module 4: To apply Genetic Algorithm for real world problem
Module 5: To compare and implement different selection mechanism using genetic algorithm
Module 6: To implement various mutation and crossover mechanisms
Module 7: To implement Particles Swarm optimization
Module 8: To implement Ant colony optimization
Reproduced from the University of Mumbai syllabus for B.E. (Computer Engineering) under REV-2019 'C' Scheme, in force from the academic year 2022-23. 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.