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300205 VU Analysis of Ecological Data - univariate methods (2023W)

(Data Analysis and modeling)

Continuous assessment of course work

Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Registration is open from Th 07.09.2023 14:00 to Th 21.09.2023 18:00
Deregistration possible until Su 15.10.2023 18:00

Details

max. 40 participants

Language: English

Lecturers

Classes (iCal) - next class is marked with N

The first lecture on Tuesday 03.10.2023 9:30am - 11:00am is MANDATORY, if you cannot attend you have to give notice in advance, otherwise you will be deregistered from the course.
There are no practicals in the first week (03.10. and 04.10.)

The lecture will take place on Tuesdays 9:30am - 11:00am in the lecture hall at Rennweg.For the practical , participants will get divided into 2 groups and the practicals will take place on Tuesdays 4pm - 6pm or Wednesdays 4pm - 6pm.

Each student does only have to participate in ONE practical, either on tuesday or wednesday. Groups will be decided in the first lecture.

Exam dates are planned for:
- 1. exam: 30.01. 9:15 - 11:00
- 2. exam: 28.02. 13:00 - 14:30
- 3. exam: 13.03. 13:00 - 14:30
- 4. exam: 27.03. 13:00 - 14:30

Tuesday 03.10. 09:15 - 11:00 Hörsaal (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 03.10. 16:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Wednesday 04.10. 16:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 10.10. 09:30 - 11:00 Hörsaal (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 10.10. 16:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Wednesday 11.10. 16:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 17.10. 09:30 - 11:00 Hörsaal (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 17.10. 16:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Wednesday 18.10. 16:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 24.10. 09:30 - 11:00 Hörsaal (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 24.10. 16:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Wednesday 25.10. 16:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 31.10. 09:30 - 11:00 Hörsaal (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 31.10. 16:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 07.11. 09:30 - 11:00 Hörsaal (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 07.11. 16:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Wednesday 08.11. 16:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 14.11. 09:30 - 11:00 Hörsaal (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 14.11. 16:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Wednesday 15.11. 16:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 21.11. 09:30 - 11:00 Hörsaal (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 21.11. 16:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Wednesday 22.11. 16:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 28.11. 09:30 - 11:00 Hörsaal (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 28.11. 16:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Wednesday 29.11. 16:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 05.12. 09:30 - 11:00 Hörsaal (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 05.12. 16:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Wednesday 06.12. 16:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 12.12. 09:30 - 11:00 Hörsaal (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 12.12. 16:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Wednesday 13.12. 16:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 16.01. 09:30 - 11:00 Hörsaal (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 16.01. 16:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Wednesday 17.01. 16:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 23.01. 09:30 - 11:00 Hörsaal (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 23.01. 16:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Wednesday 24.01. 16:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 30.01. 09:30 - 11:00 Hörsaal (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 30.01. 16:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Wednesday 31.01. 16:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG

Information

Aims, contents and method of the course

The lecture will present an overview (theoretical background, applications) on important tools of data analysis in contemporary ecological research. Special attention will be paid to the harmonisation of research questions, experimental design and analytical methods with respect to own research tasks like diploma theses or dissertations.

Central topics: General aspects of designing ecological studies - Establishing hypotheses and deriving predictions, statistical tests, experimental design, power analysis; Analysis of variance (ANOVA); Regression analysis and its derivates (GLM, GAM, PGLS, Classification Trees); Analysis of structured data and time series (Mixed Models).

The course is divided in a lecture and practical part. The lecture will take place on Tuesdays 9:30am - 11:00am in the lecture hall at Rennweg.
For the practical , participants will get divided into 2 groups and the practicals will take place on Tuesdays 4pm - 6pm or Wednesdays 4pm - 6pm.

Assessment and permitted materials

- Presence in the course
- Written exam (open book)

Minimum requirements and assessment criteria

The course requires regular presence, solving of the analysis-examples by means of R-scripts during individual course units and solving of an additional example as a "test" at the end of the course (with four exam dates offered). Your solutions in this latter 'test' have to be provided as R-scripts with comments explaining the individual analysis-steps. They will be evaluated based on whether the scripts deliver the appropriate analyses and whether the comments show that you understood the motivation and aims of the individual steps and that you can correctly interpret their results.

Examination topics

Everything that is taught during the lecture part and within the practicals.

Reading list

Useful literature (not required to be read before course)
Peter Zöfel: Statistik in der Praxis. UTB 1293.
G.P. Quinn & M.J. Keough: Experimental Design and Data Analysis for Biologists. Cambridge University Press.
Samuel M. Scheiner & Jessica Gurevitch: Design and Analysis of Ecological Experiments. Oxford University Press.
Anthony J. Underwood: Experiments in Ecology. Cambridge University Press.
Derek A. Roff: Computer-intensive methods of data analysis in biology. Cambridge University Press.
Frank E. Harrell: Regression Modeling Strategies. Springer.
Maindonald & Braun (2010) -Data Analysis and Graphics using R. Cambridge University Press.
Garamszegi (2014) Modern Phylogenetic Comparative Methods and Their Application in Evolutionary Biology. Springer.
Zuur (2009) Mixed Effects Models and Extensions in Ecology with R. Springer.
Crawley (2007) The R Book. Wiley.

Association in the course directory

MEC-5, MNB2

Last modified: Mo 27.07.2026 11:14