Course material for the 2.5 days R preparatory block course (20-22th Oct 2021 between 9am-3pm) for students starting in the Master programme Ecology, Evolution and Conservation. This R prep course is facultative and designed for R beginners to get everybody on the same page for the other EEC modules.
- Kursleiter:in: Prof. Dr. Damaris Zurell
Content: Mathematical and conceptual foundations of statistical data analysis
Qualification goals: Students learn about experimental study design and the appropriate
statistical methods for analyzing different types of data.
The first half of the course builds a solid foundation, covering an introduction to statistical
analysis and the most important basic tests: t-test, one-way ANOVA, chi-square test, linear
regression and correlation, and non-parametric equivalents of these tests. Additionally,
common issues such as how to test data for normality and different data transformations
are covered.
The second half of the course starts with an introduction to statistical analysis using the
software package R. This program is used for an array of more challenging and advanced
approaches: multiple regression, two-way ANOVA, mixed effects models, logistic regression,
principal component analysis, and cluster analysis.
- Kursleiter:in: apl Prof. Dr. Monika Wulf
- Kursleiter:in: Prof. Dr. Damaris Zurell
Course materials for the module Macroecology and global change (Master programmes "Ecology, Evolution and Conservation" and "Geoökologie").
The module contains three courses:
- Lecture on Macroecology and global change
- Seminar/exercise on Macroecological analyses
- Lecture/seminar on Species distribution models
- Kursleiter:in: Dr. Guillermo Fandos-Guzman
- Kursleiter:in: Prof. Dr. Damaris Zurell