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To enable a smooth and safe start into the semester for all members of the University of Vienna, you can get vaccinated without prior appointment on the Campus of the University of Vienna from Saturday, 18 September, until Monday, 20 September. More information: https://www.univie.ac.at/en/about-us/further-information/coronavirus/.

Warning! The directory is not yet complete and will be amended until the beginning of the term.

300368 UE Practical data analysis in ecology, biodiversity and zoology (2021S)

5.00 ECTS (3.00 SWS), SPL 30 - Biologie
Continuous assessment of course work


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


max. 15 participants
Language: English


Classes (iCal) - next class is marked with N

As of now, there will be an online preparatory meeting on 09. March 2021, using the platform Moodle. Link will be announced as soon as available.
The proper course week will take place in September. If still required by COVID-19 regulations, the theoretical parts of the course might be offered online via Moodle, to minimize presence times in the course room. At any rate, the university code of conduct must be respected with regard to COVID-19 prevention.

Tuesday 09.03. 11:00 - 12:30 Digital
Monday 06.09. 13:00 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 07.09. 13:00 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Wednesday 08.09. 13:00 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Thursday 09.09. 13:00 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Friday 10.09. 13:00 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG


Aims, contents and method of the course

Some basic theory, but mostly practical application, of a range of statistical tests and methods that are frequently used in ecology, zoology and biodiversity research. Participants are required to work on their own computer!

This course aims at familiarizing MSc students with an interest in organismal biology with a range of statistical concepts and tools. Methods to be covered include linear models, correlation and regression, analysis of contingency tables, constrained and unconstrained ordinations, some non-parametric alternatives to classic linear models, or species diversity statistics. The focus is on practical solution of common problems, using freely available software packages (e.g. PAST), and on acquiring expertise which methods to be used with what types of data, but without the need to dwell into programming codes like in the widely used R language.

Assessment and permitted materials

At the end of the course, a set of statistical problems will be distributed. These have to be worked out individually. A pdf file containing the solutions has to be submitted electronically, at latest by 15 October 2021. Participants are allowed to use any means of support for solving these problems, as long as they properly cite all materials used.

Minimum requirements and assessment criteria

Some basic knowledge of statistical methods is helpful. To obtain a positive grade, submission of the 'homework' at the end of the course is mandatory.
To obtain a positive grade, 50 % of the points available in solving the 'homework' task need to be reached.

Examination topics

For the final 'homework', participants will work on model data sets provided, using the methods presented and applied during the course week.

Reading list

Some hints will be offered in the initial meeting and later at the beginning of the course week in September.

Association in the course directory

MEC-5, MZO W-9,

Last modified: Fr 14.05.2021 11:28