| Date | Syllabus | Assignments |
|---|---|---|
| 2/22 | Course Overview | |
| 2/24 | Sets | |
| 3/1 | Probability Models | |
| 3/3 | Conditional Probability | |
| 3/8 | Total Probability Theorem, Bayes' rule and Independence | |
| 3/10 | Independence of Events & Counting | |
| 3/15 | Discrete Random Variable Basics and Probability Mass Functions | |
| 3/17 | Quiz 1 | |
| 3/22 | Discussion on Quiz 1 | |
| 3/24 | Functions of Random Variables & Expectation, Mean and Variance | Homework 2 |
| 3/29 | Special Random Variables & Joint PMFs of Multiple Random Variables | |
| 3/31 | Conditional PMF | |
| 4/5 | Holiday for our School Celebration | |
| 4/7 | Independence | |
| 4/12 | Special Random Variables | |
| 4/14 | Quiz 2 | |
| 4/19 | Discussion on Quiz 2 | 4/21 | Continuous Random Variable Basics and PDFs |
| 4/26 | Cumulative Distribution Functions | |
| 4/28 | Special Continuous Random Variables | |
| 5/3 | Joint PDFs of Multiple Random Variables & Conditioning | |
| 5/5 | Conditioning and Independence | |
| 5/10 | The Bayes' Rule | |
| 5/12 | Quiz 3 | |
| 5/17 | Discussion on Quiz 3 | |
| 5/19 | Invited Talk | Homework 5 |
| 5/24 | Covariance and Correlation | |
| 5/26 | Conditional Expectation and Variance Revisited | |
| 5/31 | Transforms | |
| 6/2 | Quiz 4 |