| Date | Syllabus |
|---|---|
| 2/24 | Course Overview |
| 2/26 | Sets |
| 3/3 | Probability Models |
| 3/5 | Conditional Probability |
| 3/10 | Break for IR Workshop |
| 3/12 | Total Probability Theorem, Bayes' rule and Independence |
| 3/17 | Independence of Events & Counting |
| 3/19 | Break for SSPW 2021 |
| 3/24 | Quiz 1 |
| 3/26 | Discrete Random Variable Basics and Probability Mass Functions |
| 3/31 | Discussion on Quiz 1 |
| 4/2 | Holiday for our School Celebration |
| 4/7 | Functions of Random Variables & Expectation, Mean and Variance |
| 4/9 | Special Random Variables & Joint PMFs of Multiple Random Variables |
| 4/14 | Conditional PMF |
| 4/16 | Independence |
| 4/21 | Special Random Variables |
| 4/23 | Quiz 2 |
| 4/28 | Discussion on Quiz 2 |
| 4/30 | Break for Covid-19 |
| 5/5 | Continuous Random Variable Basics and PDFs |
| 5/7 | Midterm |
| 5/12 | Discussion on Midterm |
| 5/14 | Cumulative Distribution Functions |
| 5/19 | Special Continuous Random Variables |
| 5/21 | Joint PDFs of Multiple Random Variables & Conditioning |
| 5/26 | Conditioning and Independence |
| 5/28 | The Bayes' Rule |
| 6/2 | Covariance and Correlation |
| 6/4 | Quiz 3 |
| 6/9 | Conditional Expectation and Variance Revisited |
| 6/11 | Transforms |
| 6/16 | Study Holiday |
| 6/18 | Final Exam |