| Week Number | Dates | Topics | Reading | Lecture Notes | HW Assigned | HW Due |
|---|---|---|---|---|---|---|
| 1 | 1/16, 1/18 | Introduction; Causality; Python Expressions | Chapter 1, 2, 3 | See courseworks | HW 1 | |
| 2 | 1/23, 1/25 | Data Bases; SQL Tables; Functions | Chapter 4, 5 | HW 2 | HW 1 | |
| 3 | 1/30, 2/1 | Visualization and Graphing | Chapter 6 | HW 3 | HW 2 | |
| 4 | 2/6, 2/8 | Iteration, Randomness; Probability; Sampling | Chapter 8 | HW 4 | HW 3 | |
| 5 | 2/13, 2/15 | Bayes Theorem, Samapling, Conditional Statements; Intro to Statistics | Chapter 9 | HW 5 | HW 4 | |
| 6 | 2/20, 2/22 | Sample Means, Sample Sizes | Chapter 12 | HW 6 | HW 5 | |
| 7 | 2/27, 3/1 | Error Probabilities;Permutation Testing; Confidence Intervals | Chapter 11 | HW 6 | ||
| 8 | 3/6, 3/8 | MIDTERM (on 3/8) | ||||
| 9 | 3/20, 3/22 | Variation, Hypothesis testing, P-values | Chaper 10 | HW 7 | ||
| 10 | 3/27, 3/29 | Regression | Chapter 14 | HW 7 | ||
| 11 | 4/3, 4/5 | Graphical Models; Comparing Samples | Chapter 16 | HW 8 | ||
| 12 | 4/10, 4/12 | Classification | Chapter 15 | HW 9 | HW 8 | |
| 13 | 4/17, 4/19 | Machine Learning | Hw 9 | |||
| 14 | 4/24, 4/26 | Machine Learning | ||||
| FINAL | TBA |