Universität Wien
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300205 VU Analysis of Ecological Data - univariate methods (2024W)

(Data Analysis and modeling)

5.00 ECTS (3.00 SWS), SPL 30 - Biologie
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).

Details

max. 40 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 08.10. 09:45 - 11:15 Hörsaal (Fakultätszentrum für Biodiversität) Rennweg EG
  • Tuesday 15.10. 14:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Tuesday 22.10. 09:45 - 11:15 Hörsaal (Fakultätszentrum für Biodiversität) Rennweg EG
  • Tuesday 22.10. 14:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Tuesday 29.10. 09:45 - 11:15 Hörsaal (Fakultätszentrum für Biodiversität) Rennweg EG
  • Tuesday 29.10. 14:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Tuesday 05.11. 09:45 - 11:15 Hörsaal (Fakultätszentrum für Biodiversität) Rennweg EG
  • Tuesday 05.11. 14:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Tuesday 12.11. 09:45 - 11:15 Hörsaal (Fakultätszentrum für Biodiversität) Rennweg EG
  • Wednesday 13.11. 14:00 - 16:00 Übungsraum 2 (Fakultätszentrum für Biodiversität) Rennweg 1.OG
  • Wednesday 13.11. 16:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Tuesday 19.11. 09:45 - 11:15 Hörsaal (Fakultätszentrum für Biodiversität) Rennweg EG
  • Tuesday 19.11. 14:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Tuesday 26.11. 09:45 - 11:15 Hörsaal (Fakultätszentrum für Biodiversität) Rennweg EG
  • Tuesday 26.11. 14:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Tuesday 03.12. 09:45 - 11:15 Hörsaal (Fakultätszentrum für Biodiversität) Rennweg EG
  • Tuesday 03.12. 14:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Tuesday 10.12. 09:45 - 11:15 Hörsaal (Fakultätszentrum für Biodiversität) Rennweg EG
  • Tuesday 10.12. 14:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Tuesday 07.01. 09:45 - 11:15 Hörsaal (Fakultätszentrum für Biodiversität) Rennweg EG
  • Tuesday 07.01. 14:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Tuesday 14.01. 09:45 - 11:15 Hörsaal (Fakultätszentrum für Biodiversität) Rennweg EG
  • Tuesday 14.01. 14:00 - 18:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Tuesday 21.01. 09:45 - 11:15 Hörsaal (Fakultätszentrum für Biodiversität) Rennweg EG
  • Tuesday 21.01. 14:00 - 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 9:45am - 11:15am in the lecture hall at Rennweg.
For the practical , participants will get divided into 2 groups and the practicals will take place on Tuesdays 2pm - 4pm or Tuesday4pm - 6pm.

Assessment and permitted materials

- Presence in the course (not more than two absences)
- one Homework in autumn
- 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, one homework in autumn 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.
The main grade will be derived from the exam, the homework will decide if the exam is between two grades.
As the main grade will be derived from the exam, it can be retaken once.

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 14.10.2024 12:46