| Date | Topic/Event | Notes |
|---|---|---|
| 6/20 M | Counting (12.1.1-12.1.4) | |
| 6/21 T | Probability: Basic Definitions (12.2.1), Equally Likely Outcomes (12.2.2). | |
| 6/22 W | Basic definitions - cont'd (12.2.1, 12.2.2). | |
| 6/27 M | Conditional Probability (12.3.2), The Law of Total Probability (12.3.3) | |
| 6/28 T | Bayes Formula (12.3.4), Independence (12.3.1) | |
| 6/29 W | Random Variables (12.4.1) | |
| 7/5 T | Review | |
| 7/6 W | Midterm | |
| 7/11 M | The Binomial Distribution (12.4.3), The Hypergeometric Distribution | |
| 7/12 T | Geometric Distribution (12.4.5), The Poisson Distribution (12.4.6) | |
| 7/13 W | Mean (12.4.2), Variance (12.4.2), M+V of Standard Distributions (12.4.3-12.4.6) | |
| 7/18 M | The cumulative distribution function (12.4.2), continuous r.v.'s (12.5.1) | |
| 7/19 T | Continuous r.v.'s (12.5.1), Uniform Dist. (12.5.3), Exponential Dist. (12.5.4) | |
| 7/20 W | Exponential Dist (12.5.4, 12.5.6), Normal Dist. (12.5.2) | |
| 7/25 M | Poisson and Normal Approximation to the Binomial (12.4.6, 12.6.2) | |
| 7/26 T | Review | |
| 7/27 W | Final |