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Amrik Sen, PhD (Applied Mathematics, University of Colorado, Boulder, USA)
Mathematics of Uncertainty
(course code: FM 133)
Course Instructors:
Amrik Sen
Course TAs:
Rajat Singla, Abhishek Thakur, Sushma, Viraj D'Souza
Emails:
amrik.sen@plaksha.edu.in,
rajat.singla@plaksha.edu.in
abhishek.thakur@plaksha.edu.in
shushma.rani@plaksha.edu.in
viraj.dsouza@plaksha.edu.in
Class schedule:
Lectures: Tuesday (10:00 to 11:00), Thursday (11:00 to 12:00)
Laboratory: Wednesday (14:00 to 16:00), Friday (14:00 to 16:00)
Office hours:
Amrik (Monday: 11:30 to 12:30)
Rajat (Friday: 16:00 to 17:00)
Abhishek (Wednesday: 16:00 to 17:00)
Sushma (Tuesday: 12:00 to 13:00)
Viraj (Monday: 12:30 to 13:15)
Syllabus and manuals:
Course brochure and lecture plan: (here)
Matlab tutorial: (here)
Video recording of lectures:
Markov Chains (here)
Lecture notes, slides, book chapters:
Introductory note: here.
Module 1:
Thinking in Probability (here)
Sanjay's lectures of 3/3/2022 (here)
Complementary reading-1: solving recurrence relations (here)
Sanjay's lectures upto 15/3/2022 (here)
Module 2:
Probability Distributions (here)
Complementary file-1 (simulating binomial distribution: here)
Sanjay's lectures (here)
Sanjay's lectures (here) end of module 2
Module 3:
Discrete Time Markov Chains (here) -- updated version uploaded 27/3/2023
Supplementary reading & exercises: Markov Chains (here)
Sanjay's lectures (here)
Complementary file-2 (game of evolution: here)
Game of Evolution with Mozart (here)
Module 4:
Continuous Time Markov Chains & Queues (here)
Module 5:
Statistical Experiments (here)
Sanjay's lectures (here)
Central limit theorem lecture by Viraj Dsouza (here)
Module 6:
Statistics for Complex Problems
1D linear least squares regression (here)
Normal equations for least squares regression (here)
Linear LS regression for multi-dimensional data (here)
Code for quiz-2: (python) (matlab)
Jitesh's notes on "Decision Making under Uncertainty" (here)
Projects
Project instructions (coming soon!)
Laboratory-cum-project manual:
Lab/mini-project 1 (here)
Project-1 rubric (here)
-- due Feb 8 (wed) for P2, Feb 10 (Fri) for P1.
Lab/mini-project 2 (synopsis: here)
Lab/mini-project 2 (full handout: here)
Lab/mini-project 2 (supplementary material: here)
Project-2 rubric (here)
Lab/mini-project 3 (handout: here)
-- due April 5 (S2), April 7 (S1).
Treasure trove to the Viterbi bandwagon (here)
Project-3 rubric (here)
Project-3, week-1 interview slots (here)
Project-3, week-2 interview slots (here)
Project-3, week-3 interview slots (here)
Project-4 rubric (here)
Lab/mini-project 5 (handout: here)
Worksheets & Practice Problems
Worksheet 1 (sec. 2.11, all exercise problems of chapter 2 of the textbook)
Worksheet 2 (sec. 3.11, all exercise problems of chapter 3 of the textbook)
Worksheet 3 (sec. 4.11, all exercise problems of chapter 4 of the textbook)
Worksheet 4 (sec. 6.9, all exercise problems of chapter 6 of the textbook)
World Bank Data on FDI and Internet Usage
(here)
Written exams
Mid-term exam (here)
Solutions to mid-term exam & rubric (here)
End-term exam (here)
Solutions to end-term exam (here)
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