The course consists of three parts

1. Lecture: every Tuesday 14:50 - 16:20
2. Lab Exercises: every Wednesday 14:50 - 16:20 or16:40 - 18:10 (2 groups, details and enrolment will be announced in the first lecture)
3. Self study

Lectures and Labs in 2026/2027

• Start of the lectures: Tuesday 2026-10-20 14:50, lecture hall CHE/091/H
• First lab exercise at: Wednesday 2026-10-21 14:50 (group A) or 16:40 (group B) in the computer pool APB-E067
• Details will be announced in the first lecture.

Online Material

• The slides and lab handouts are freely available on the web: https://tpetzoldt.github.io/elements/
• After login and enrolment, you will get access to additional labs, exercises and data.

Topics

1. Introduction to the course
2. Basic statistical concepts
3. Overview about the R system
4. Distributions and Central Limit Theorem
5. Standard error and confidence intervals explained in detail
6. Tests of dependency and correlation
7. Linear regression
8. One and two-way ANOVA
9. ANOVA, part II (Holm-Bonferroni procedure, ANCOVA, type II errors, AIC-based model selection)
10. Introduction to time series analysis
11. Time series methods, part II
12. Introduction to nonlinear regression
13. Optional topic upon request, e.g. multivariate statistics

Please note: The exact schedule depends on the progress of the course. Some lectures may cover more than one topic, other topics may need an additional week.