Moodle.UP

This seminar series compliments the lecture series of the same name.

Course aims

·         Identify links between theory and current research

·         Develop an ability to critically assess scientific literature

·         Develop skills in communication scientific information

·         Gain experience in leading critical discussions

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.

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

- Lecture/seminar on Species distribution models

- Seminar/exercise on Macroecological analyses