Maths for CS I: Probability & Statistics
MTech Core
Enrollment in this course is by invitation only

Instructor
Girish Varma, CSTAR and MLL
Teaching Assistants
Anupam Mazumdar, Monu Tayal, Aditya Kallapa
Requirements
Discrete Maths.
Course Topics
- Probability Basics
- Probability and Counting
- Infinite Sample Spaces | Axioms of Probability
- Conditional Probability | Independence
- Bayes' Rule
- Random Variables
- Random Variables | Expectation | Binomial Distrbution
- Geometric Dist | Functions of RV
- Variance | Conditioning | Multiple RVs
- Linearity of Expectation
- Advanced Random Variables
- Tail Bounds (Markov, Chebyshev, Chernoff)
- Continuos Distributions
- Central Limit Theorem
- Advanced Topics and Applications
- Statistics
- Markov Chains
- Multidimensional Gaussians | Kalman Filters