1.7 Example schedule (12-week course)
It is possible to teach the content of this web-book in a semester (12 weeks). Below is an example schedule of how the material can be chunked. This schedule assumes that sections marked as “excursions” are skipped and that lecturers give clear guidance as to which aspects of each chapter are most important.
| week | topic | chapter |
|---|---|---|
| 1 | overiew, installation, first steps in R | 1 & 2.1 |
| 2 | basics of R | 2 |
| 3 | data types & wrangling | 3 & 4 |
| 4 | summary statistics & plotting | 5 & 6 |
| 5 | probability basics | 7 |
| 6 | models & parameter inference | 8 & 9 |
| 7 | model comparison & hypothesis testing | 10 & 11 |
| 8 | linear regression | 12 & 13 |
| 9 | categorical predictors & GLM | 14 & 15 |
| 10 | frequentist statistics | 16 |
| 11 | Bayes vs frequentist | 17 |
| 12 | discussion / reflection |