| Week | Date | Topics | Slides & Supplementary Material |
| 1 | Mon 10/02 | Introduction. Fundamentals of R programming. | Slides 1 |
| Wed 10/04 | Fundamentals of R programming | Slides 2 | |
| 2 | Mon 10/09 | Numerical and exploratory data analysis in R | Slides 3 |
| Wed 10/11 | Numerical and exploratory data analysis in R | Slides 4 | |
| 3 | Mon 10/16 | Exploratory data analysis in R | Slides 5, Slides 6 |
| Wed 10/18 | Advanced graphs | Slides 7 | |
| 4 | Mon 10/23 | Advanced graphs | Slides 8 |
| Wed 10/25 | Linear regression | Slides 9 | |
| 5 | Mon 10/30 | Linear regression | Slides 10 |
| Wed 11/01 | ANOVA | ||
| 6 | Mon 11/06 | ANOVA | Slides 11 |
| Wed 11/08 | ANOVA. | Slides 12 | |
| 7 | Mon 11/13 | Logistic regression | Slides 13 |
| Wed 11/15 | Exam | ||
| 8 | Mon 11/20 | PCA and clustering | Slides 13 |
| Wed 11/22 | No class meeting, online material will be posted in advance | ||
| 9 | Mon 11/27 | PCA, factor analysis and clustering | Slides 14 |
| Wed 11/29 | Clustering. Acquiring and storing large datasets. | Slides 15 | |
| 10 | Mon 12/04 | Project presentations | |
| Wed 12/06 | Project presentations | ||
| Final project report: Due on Wed Dec 13 |