Course Schedule


Mathematics and Statistics (Vorlesung)

Dozent/in: Henrik Wehrden

wöchentlich | Dienstag | 08:15 - 09:45 | 03.04.2023 - 07.07.2023 | C HS 3

Inhalt: The lecture is a the main basis of gaining an understanding of quantitative analyses in environmental and sustainability science. The lecture is structured into five parts. 1) A basic introduction, including a recap of descriptive statistics, and a quick overview on data formats, data distribution and simple tests. 2) Correlations and linear models as a pivotal part of the analyses of continuous data. 3) Analyses of variance, allowing designing simple experiments and for comparing variance among different groups. 4) A quick overview of different types of experiments, and a short discussion of the normative dimensions of statistics. 5) A written exam. The lecture is the main basis of information -building on a flipped classroom format between videos and a central WIKI-, and the associated tutorials are intended to deepen the understanding on the different topics and provide applied skills and knowledge. The Wiki serves as a theoretical basis, the videos provide focussed explanations, which can be considered a basis for further research projects and your thesis, should you choose to work with quantitative methods. The tutorials repeat the respective content and provide a learning experience in R. Attending the lecture will be your best basis for gaining knowledge, and will increase your chances on passing the exam.

Tutorial on Mathematics and Statistics 4 (GESS) (Übung)

Dozent/in: Heike Zimmermann

wöchentlich | Donnerstag | 12:15 - 13:45 | 03.04.2023 - 22.06.2023 | C 40.146 Seminarraum
Einzeltermin | Do, 29.06.2023, 12:15 - Do, 29.06.2023, 13:45 | C 40.108 Seminarraum | Raumwechsel am 29.6.
wöchentlich | Donnerstag | 12:15 - 13:45 | 06.07.2023 - 06.07.2023 | C 40.146 Seminarraum

Inhalt: The tutorial is building on the Lecture on Statistics and Mathematics, and allows students to gain a deeper and more applied understanding of the topics from the lecture.