| Week | Dates (M–F) | Topics | DUE (Wed or Fri, 11:59 pm) |
|---|---|---|---|
| 1 | Jan 12 – 16 | Introduction & Syllabus 2.1 – 2.4: Probability basics, Set Notation |
Lab 01 – Intro to R/RStudio/Quarto Reading Annotation 01 |
| 2 | Jan 19 – 23 | 2.5, 2.8, 2.9: Calculating probability 2.6: Counting tools 2.7: Conditional probability, Independence |
HW 01 Lab 01 Reading Annotation 02 |
| 3 | Jan 26 – 30 | 2.7 (cont’d) 2.10: Bayes Rule 2.11, 3.1 – 3.2: Discrete random variables |
HW 02 Lab 02 Reading Annotation 03 |
| 4 | Feb 2 – 6 | 3.2 (cont’d) 3.3: Expected Value |
HW 03 Lab 03 Reading Annotation 04 |
| 5 | Feb 9 – 13 | Review Exam 1 In-Class, Take-home handed out (Th) |
HW 04 Lab 04 |
| 6 | Feb 16 – 20 | Exam 1 Take-home DUE (Tue) 3.4: Binomial Distribution Th: NO CLASS (Flex Day) |
|
| 7 | Feb 23 – 27 | 3.5 – 3.8: Geometric, Negative Binomial, Hypergeometric,
Poisson 3.11: Tchebysheff’s Theorem |
HW 05 Lab 05 Reading Annotation 05 |
| — | Mar 2 – 6 | SPRING BREAK | |
| 8 | Mar 9 – 13 | 3.9: Moments, MGFs 4.1 – 4.4: Continuous random variables, Uniform distribution |
HW 06 Lab 06 Reading Annotation 06 |
| 9 | Mar 16 – 20 | 4.5 – 4.6: Normal & Gamma distributions | HW 07 Reading Annotation 07 |
| 10 | Mar 23 – 27 | 4.7 – 4.9: Beta distribution, MGFs & other expected
values Review |
HW 08 Lab 07 Reading Annotation 08 |
| 11 | Mar 30 – Apr 3 | Exam 2 In-Class (Tue) Thursday – Easter Break (No class) |
HW 09 Lab 08 |
| 12 | Apr 6 – 10 | 5.2 – 5.3: Bivariate distributions, marginal & conditional distributions | Reading Annotation 09 |
| 13 | Apr 13 – 17 | 5.4 – 5.6: Independent RVs, properties of expected value 5.7: Covariance |
HW 10 |
| 14 | Apr 20 – 24 | 5.7 (cont’d) 5.8: Properties of expected value & variance 5.9: Multinomial distribution |
HW 11 Lab 09 |
| 15 | Apr 27 – May 1 | 5.11: Conditional Expectation Final Review |
HW 12 End-of-course reflection |
| — | May 7 | FINAL EXAM – Thu 8:30 – 11:00 AM |