| Week (Starting) | Topics |
| 1 (Jan 13th) | Probability: Experiments, outcomes, and events; sample spaces |
| Discrete random variables; probability mass functions, cumulative distribution functions |
| Continuous random variables; probability density functions, cumulative distribution functions, percentiles |
| Law of large numbers |
| 2 (Jan 20th) | Parameters; expectation |
| Variance and standard deviation |
| Variance-covariance matrices |
| Point and interval estimates. |
| 3 (Jan 27th) | Conditional probability and expectation |
| Simple regression |
| Correlation and regression coefficients |
| 4 (Feb 3rd) | Multiple regression |
| design matrices and dummy variables |
| Effect size and power |
| 5 (Feb 10th) | One-way Anova |
| 6 (Feb 17th) | Two-way Anova (without interaction) |
| 7 (Feb 24th) | Two-way Anova (with interaction) |
| 8 (Mar 3rd) | Generalized least squares: Logistic regression |
| (Mar 10th) | Spring Break |
| 9 (Mar 17th) | Midterm Exam |
| Generalized least squares: Unordered categorical data |
| 10 (Mar 24th) | Generalized least squares: Logistic regression |
| 11 (Mar 31st) | Hierarchical models |
| 12 (April 7th) | Hierarchical models (continued) |
| 13 (April 14th) | Contingency tables |
| 14 (April 21st) | Spatial models |
| 15 (April 28th) | Bootstrap methods |