Universität Wien
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300325 UE Experimental Design and statistical Methods in Limnology (2011W)

6.00 ECTS (5.00 SWS), SPL 30 - Biologie
Continuous assessment of course work

Vorbesprechung : 10.10.2011 - 11:00 Uhr im Seminarraum des Dep.Limnologie.
Block im Februar 2012, Termine bei der Vorbesprechung.

Lehrveranstaltung wird bei Bedarf in englischer Sprache abgehalten.

If neccessary (depending on participants), course will be held in English.

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. 20 participants
Language: German

Lecturers

Classes

Currently no class schedule is known.

Information

Aims, contents and method of the course

1) Experimental design and study planning in limnology.
2) Analysis of limnological/ecological data: descriptive statistics, univariate statistical tests (t-tests, U-test, analysis of variance), bivariate data analysis (correlation, linear and non-linear regression), multivariate data analysis (multiple regression, general linear models, analysis of covariance, selected multivariate procedures such as principal component analysis and non-metric multi-dimensional scaling).
3) Graphical analysis and presentation of limnological/ecological data using various software packages.
4) Presentation of results of limnological/ecological studies in talks and publications.

Assessment and permitted materials

Presence throughout the course is necessary. Mark is based on presence and commitment during the course (30 %), written examination about contents of the first part (30 %), (team-) presentations about independently analysed dataset (40 %).

Minimum requirements and assessment criteria

Successful participants will know how to plan a limnological study (e.g. for a M.Sc. thesis), including the spatial and temporal distribution of necessary measurements, necessary replication, etc. Furthermore, upon course completion, they should be able to graphically and statistically analyze complex ecological datasets, and prepare these data for oral presentation or publication.

Examination topics

The course is scheduled as one block in February 2012 (Feb-6 to Feb-17) and is divided into four parts (details will be announced at the first meeting). Part 1 will focus on the application of statistical methods using (mostly synthetic) training datasets. Short introductory lectures will be followed by hands-on practical sessions using mainly the statistical language R. Part 2 and 3 will be based on real ecological datasets originating from studies of the Department of Limnology. This data will be graphically and statistically analysed under guidance, partly using alternative software. The fourth part consists of an independent analysis of a provided dataset and the presentation of results. This part can be done as a team work.

Reading list

Course Handout will be provided.

Further literature:
Quinn, G. P. & M. J. Keough. 2002. Experimental Design and Data Analysis for Biologists. Cambridge University Press, Cambridge, 537 pp.
Dalgaard, P. 2008. Introductory Statistics with R (Series: Statistics and Computing). Springer Verlag, New York, 364 pp.

Association in the course directory

MOE I-3

Last modified: Mo 07.09.2020 15:43