Versuchsplanung (Fortgeschrittenenkurs)

What it is about

You learn to design ecological experiments for experimental planning, to carry them out, and to analyze the resulting data with the statistical software R. In the end you will be able to select suitable experimental designs and perform statistically correct analyses on ecological data sets.

What you will be able to do

Plan ecological experiments
Carry out ecological experiments
Statistically analyze data with R
Apply statistical methods (e.g. ANOVA, GLM, regression)

What the module consists of

LecturePresentation of experimental-design methods, special experimental approaches, and statistical analysis methods in presentations
ExerciseLearning and applying the statistics program R to ecological data sets

Teaching method

Presentation (PowerPoint)Introduction of methods and concepts
Lecture (blackboard)Additional explanation and visualization of content
Computer-based exercisesPractical application of R to data sets

Dates

LectureGrundlagen der Versuchsplanung (Master)

Mon12:30–14:00
U 01, Seminarraum 49 (WZWS49) (4219.U1.001)
15× · 12.10.–01.02.
- 12.10.
- 19.10.
- 26.10.
- 02.11.
- 09.11.
- 16.11.
- 23.11.
- 30.11.
- 07.12.
- 14.12.
- 21.12.
- 11.01.
- 18.01.
- 25.01.
- 01.02.

ExerciseGrundlagen der Statistik in R (Master)

Tue15:15–18:00
PU26, IT-Schulungsraum (WZWIT26) (4215.U1.026)
15× · 13.10.–02.02.
- 13.10.
- 20.10.
- 27.10.
- 03.11.
- 10.11.
- 17.11.
- 24.11.
- 01.12.
- 08.12.
- 15.12.
- 22.12.
- 12.01.
- 19.01.
- 26.01.
- 02.02.

From the current semester, not binding.

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