Syllabus
Course Title: Understanding Uncertainty: An Introduction to Statistics through Data Generating Processes and Computational Simulations
Instructor: Joey Rudoler
Classroom: Academic Research Building (ARB), Room 401
Course Schedule:
| Date | Topic | Assignment |
|---|---|---|
| 7/09 | Intro, Why Statistics? (slides) | Assignment 0 |
| 7/10 | Programming (slides) | Assignment 1 |
| 7/11 | Programming cont. | |
| 7/14 | Probability (slides) | Assignment 2 |
| 7/15 | Probability cont. | |
| 7/16 | Sampling and simulation (slides) | Assignment 3 |
| 7/17 | Data Generating Processes and Statistical Models | |
| 7/18 | No class | |
| 7/21 | Hypothesis Testing | |
| 7/22 | Confidence Intervals, bootstrapping | Assignment 4 |
| 7/23 | Permutation tests | |
| 7/24 | Regression | |
| 7/25 | No class (final project meetings) | |
| 7/28 | No class (DC trip) | |
| 7/29 | Regression cont. (Inference for Regression) | |
| 7/30 | Regression cont. (Multiple Regression) | |
| 7/31 | Paradoxes and Statistical Gotchas | |
| 8/01 | Guest Lecture (Sports Analytics and Betting) | |
| 8/04 | Guest Lecture / Final Projects | |
| 8/05 | Final Projects | |
| 8/06 | Final Projects | |
| 8/07 | Final Projects | |
| 8/08 | Final Project Presentations (10:00 AM) | Final Project Guidelines |