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300445 UE Analysis of ecological data (UE) - univariate methods (2018W)
Continuous assessment of course work
Labels
Allocation of places for this course primarily for students of MEC (MEC 5) and MZO (MZO W-9)
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 06.09.2018 08:00 to Th 20.09.2018 18:00
- Deregistration possible until We 31.10.2018 18:00
Details
max. 30 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Compulsory attendance in the first lecture (10.10.18) - Start 4:00 pm
- Wednesday 10.10. 18:00 - 19:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Wednesday 17.10. 18:00 - 19:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Wednesday 24.10. 18:00 - 19:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Wednesday 31.10. 18:00 - 19:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Wednesday 07.11. 18:00 - 19:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Wednesday 14.11. 18:00 - 19:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Wednesday 21.11. 18:00 - 19:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Wednesday 28.11. 18:00 - 19:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Wednesday 05.12. 18:00 - 19:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Wednesday 12.12. 18:00 - 19:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Wednesday 16.01. 18:00 - 19:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Wednesday 23.01. 18:00 - 19:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Wednesday 30.01. 18:00 - 19:00 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).
Assessment and permitted materials
written test and 1 excercise during the course.
Minimum requirements and assessment criteria
Examination topics
Lecture and practical: Analysis of examplary datasets with the statistical software package R
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.
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, MZO W-9
Last modified: Mo 07.09.2020 15:43