I am involved in teaching Applied Mathematics to undergraduate students from B.Tech and B.Chem Engineering branches. All the lecture recordings are shared in google classroom and classes are taken using zoom link. If anybody is interested to get the recorded lectures, you can email me at ar.bhowmick@ictmumbai.edu.in. In the following, I am only listing the courses that I have taught in Masters' in Engineering Mathematics. I do not have any old notebooks/written notes that I follow year after year. Every year teaching strategy and assignments are different and usually functions of the student's interaction in the class.
M.Sc. Engineering Mathematics (Batch 2020 - 2022)
Semester - I (Applied Statistics - I) (Lectures are shared in google classroom, class summary)
Semester - II (Applied Statistics - II) (Lecture videos are shared in google classroom)
M.Sc. in Engineering Mathematics (Batch 2019 - 2021)
Semester - I (Applied Statistics - I)
Semester - II (Applied Statistics - II) (Videos of Lectures taken during lockdown are shared in google classroom)
Semester - III (Applied Statistics - III) Least square theory slides (Registered students can access the google classroom for lecture records)
Semester - IV (Stochastic Process) Lecture slides and recordings may be available on request.
M.Sc. in Engineering Mathematics (Batch 2018 - 2020)
Semester - I (Applied Statistics - I) Introduction to Probability (Tutorial-I); Conditional Probability and Bayes Theorem (Tutorial-II); Selected Solution - I; Tutorial - III, Mid Semester Paper, Mid Semester Solution, Convergence Concepts and Central Limit Theorem (Tutorial - IV)
Semester - II (Applied Statistics - II) Introduction to Statistical Simulation (Tutorial-I); Testing of Hypothesis (Tutorial-II); Continuous Assessment - I; Continuous Assessment - II; Mid Semester Paper; Continuous Assessment - III Regression Techniques (Tutorial -III), End Semester Examination.
Semester - II (Advanced Real Analysis, shared with Dr. Akshay S. Rane) Sequence of functions and series of functions, Power Series, Equicontinuity (Continuous Assessment - I, Mid Semester Examination; End Semester Examination)
Semester - III (Machine Learning, shared with Venkata Reddy, StatInfer), Mathematical Biology
Semester - IV (Dynamical System Lecture slides, Stochastic Process Lecture slides)
M.Sc. in Engineering Mathematics (Batch 2017 - 2019)
Semester - I (Applied Statistics - I) Tutorial, Continuous Assessments, Mid-semester, End semester examination.
Semester - II (Applied Statistics-II, 50%) (Separate course page under Statistics Lab tab, Simulation supplemented with R), Inequalities (Tutorial-I), Simulation (Tutorial-II), CLT (Tutorial-III)
Semester - II (Advanced Real Analysis) Sequence of Functions (Tutorial-I, Tutorial-II), Series of Functions (Tutorial-III), Continuous Assessment-I, Power Series (Tutorial-IV), Riemann Integral (Tutorial-V, Tutorial-VI), Mid-semester Examination, Measurable Space (Tutorial-VII), Measure and Measurable Functions (Tutorial-VIII), Abstract Integration (Tutorial-IX), End semester Examination
Semester - III (Machine Learning) Separate Course Page Machine Learning. The tutorial problems are available in the course web only. I am planning to prepare a single pdf file and add it here.
M.Sc. in Engineering Mathematics (Batch 2016-2018)
Semester - III (Mathematical Biology) (separate course page, Mathematical Biology)
Semester - IV (Stochastic Process, 25%)