300445 UE Analysis of ecological data (UE) - univariate methods (2014W)
Continuous assessment of course work
Labels
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 Mo 08.09.2014 08:00 to We 24.09.2014 18:00
- Deregistration possible until Fr 31.10.2014 18:00
Details
max. 30 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Wednesday 08.10. 16:15 - 19:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Wednesday 15.10. 16:15 - 19:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Wednesday 22.10. 16:15 - 19:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Wednesday 29.10. 16:15 - 19:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Wednesday 05.11. 16:15 - 19:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Wednesday 12.11. 16:15 - 19:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Wednesday 19.11. 16:15 - 19:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Wednesday 26.11. 16:15 - 19:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Wednesday 03.12. 16:15 - 19:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Wednesday 10.12. 16:15 - 19:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Wednesday 07.01. 16:15 - 19:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Wednesday 14.01. 16:15 - 19:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Wednesday 21.01. 16:15 - 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, Survival Analysis, Classification Trees); Analysis of structured data and time series (Mixed Models).
Assessment and permitted materials
written test
Minimum requirements and assessment criteria
Examination topics
Lecture and practical: Analysis of examplary datasets with the statistical software package R
Reading list
Association in the course directory
MEC-5, MOE W-1, MZO W-9
Last modified: Mo 07.09.2020 15:43