| Week | Lecture | PCLab | Date |
|---|---|---|---|
| 1 | No class | Course organisation; General exam regulation; Recap | 15 Oct 2025 |
| 2 | No class | Introduction to R | 22 Oct 2025 |
| 3 | Introduction to spatial analysis | Data manipulation and import/export with R | 29 Oct 2025 |
| 4 | Mathematical preliminaries | Visualization and data manipulation with R | 05 Nov 2025 |
| 5 | The linear model | Linear regression | 12 Nov 2025 |
| 6 | Categorical variables (ANOVA) and dummy coding | Hypothesis testing and ANOVA | 19 Nov 2025 |
| 7 | Multiple linear regression | Multiple linear regression | 26 Nov 2025 |
| 8 | Maximum Likelihood and outlook to Bayesian statistics | Introduction to Bayesian inference | 03 Dec 2025 |
| 9 | Generalized linear models I | Generalized linear models I | 10 Dec 2025 |
| 10 | Generalized linear models II | Generalized linear models II | 17 Dec 2025 |
| 11 | Multivariate methods I | Raster Data in R; Principal component analysis | 07 Jan 2026 |
| 12 | Multivariate methods II | Discriminant function analysis and Model validation | 14 Jan 2026 |
| 13 | Understanding spatial data | Spatial vectors in R | 21 Jan 2026 |
| 14 | Point pattern analysis | Point pattern analysis in R | 28 Jan 2026 |
| 15 | Spatial autocorrelation and interpolation | Semivariogram analysis and kriging | 04 Feb 2026 |
| 16 | Spatial weights and linear modeling | Spatial regression models | 11 Feb 2026 |
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