| WEEK | TOPIC | ASSIGNMENTS |
| 1 | Chapter 2: Outcomes, events, and probability | - |
| - | Chapter 2: Outcomes, events, and probability | 2.1, 2.2, 2.4, 2.9, 2.13 |
| 2 | Chapter 3: Conditional probability and independence | - |
| - | Chapter 3: Conditional probability and independence | 3.4, 3.9, 3.11, 3.16, 3.18 |
| 3 | Chapter 4: Discrete random variables | - |
| - | Chapter 4: Discrete random variables | 4.2, 4.3, 4.4, 4.11, 4.14 |
| 4 | Chapter 5: Continuous random variables | - |
| - | Chapter 5: Continuous random variables | 5.1, 5.5, 5.9, 5.11, 5.12 |
| 5 | Chapter 6: Simulation | - |
| - | Chapter 6: Simulation | 6.1, 6.3, 6.6, 6.8 |
| 6 | Chapter 7: Expectation and variance | - |
| - | Chapter 7: Expectation and variance | 7.1, 7.2, 7.9, 7.13, 7.14 |
| 7 | Mid-term Review | |
| - | Mid-term Examination | |
| 8 | Examination Review | |
| - | Chapter 9: Joint distributions and independence | 9.1, 9.3, 9.6, 9.7, 9.13 |
| 9 | Chapter 10: Covariance and correlation | 10.1, 10.5, 10.8, 10.11 |
| - | Chapter 12: The Poisson process | 12.2, 12.5, 12.7 |
| 10 | Chapter 15: Exploratory data analysis: graphical summaries | - |
| - | Chapter 15: Exploratory data analysis: graphical summaries | - |
| 11 | Chapter 16: Exploratory data analysis: numerical summaries | - |
| - | Chapter 17: Basic statistical models | 17.4, 17.6 |
| 12 | Chapter 19: Unbiased estimators | 19.6, 19.7 |
| - | Chapter 20: Efficiency and mean squared error | - |
| 13 | Chapter 21: Maximum likelihood | - |
| - | Chapter 22: The method of least squares | - |
| 14 | Final Review | |
| - | Final Review |
Final Exam: TBA