All of the materials linked on this page are available on the original GitHub site developed for the course.
| Lectures | Slides | videos | jupyter notebooks | other resources |
|---|---|---|---|---|
| 1. Analyzing COVID-19 Data (March 30, 2020) |
Video: 3Blue1Brown:Simulating an Epidemic | |||
| 2. Modelling Exponential Growth (April 1, 2020) | Lecture 2 Slides | Lecture 2 Video | Exponential and Logistic Growth | |
| 3. Probability (April 6, 2020) | Lecture 3 Slides | Lecture 3 Video | Modelling Recovery with Probability | <none> |
| 4. Random Walk Models (April 8, 2020) | Lecture 4 Slides | Lecture 4 Video | Random Walks | <none> |
| 5. Characterizing Variability (April 13, 2020) | Lecture 5 Slides | Lecture 5 Video | Variability and Custom Types | |
| 6. User-defined Types (April 15, 2020) | Lecture 6 Slides | Lecture 6 Video | Defining New Types | |
| 7. Markov Chains and Continuous Random Variables (April 22, 2020) | Lecture 7 Video |
Markov Chains and Continuous Random Variables | <none> | |
| 8. Continuous Time (April 27, 2020) | Lecture 8 Slides | Lecture 8 Video | Continuous Time | <none> |
| 9. Exponential Distribution (April 29, 2020) | <none> | Lecture 9 Video | Exponential Distribution | <none> |
| 10. Differential Equations (May 4, 2020) | Lecture 10 Slides | Lecture 10 Video | <none> | <none> |
| 11. Optimization and Fitting to Data (May 6, 2020) | Lecture 11 Slides | Lecture 11 Video | <none> | <none> |
| 12. Networks in Epidemic Modelling (May 11, 2020) | Lecture 12 Slides | Lecture 12 Video | Networks | <none> |
Code content is licensed under the MIT license.
Text content is licensed under the CC BY-NC-SA license.