00137960: Statistical Thinking
Course Description
This course provides a compact and accessible introduction to statistics, focusing on the most important ideas that
have shaped the field and have influenced our ways of viewing and understanding the world. Essential concepts including
data, models, algorithms, sampling, likelihood, information, hypothesis testing, regression, and causality will be
motivated and introduced. A comparative overview of frequentist and Bayesian inference will be presented. The
discussion will be illustrated by examples from the physical, biological, and social sciences.
Syllabus
Lectures and Assignments
| Week | Date | Topics | References | Assignments | Notes |
| 1 | 2/17 | | | | |
| 2 | 2/24 | | | | |
| 2/26 | | | | |
| 3 | 3/3 | | | | |
| 4 | 3/10 | | | | |
| 3/12 | | | | |
| 5 | 3/17 | | | | |
| 6 | 3/24 | | | | |
| 3/26 | | | | |
| 7 | 3/31 | | | | |
| 8 | 4/7 | | | | |
| 4/9 | | | | |
| 9 | 4/14 | | | | |
| 10 | 4/21 | | | | |
| 4/23 | | | | |
| 11 | 4/28 | | | | |
| 12 | 5/5 | No class | | | |
| 5/7 | No class | | | |
| 13 | 5/12 | | | | |
| 14 | 5/19 | | | | |
| 5/21 | | | | |
| 15 | 5/26 | | | | |
| 16 | 6/2 | No class | | | |
| 6/4 | | | |
|
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