300368 UE Practical data analysis in ecology, biodiversity and zoology (2019S)

Continuous assessment of course work

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 Fr 08.02.2019 08:00 to Th 21.02.2019 18:00
Deregistration possible until Su 31.03.2019 18:00

Details

max. 15 participants

Language: English

Lecturers

Konrad Fiedler

Classes (iCal) - next class is marked with N

On 13th March only the initial meeting is scheduled. Participation is MANDATORY.
The practical part of the course takes place from 16.09.2019 to 20.09.2019, 13-17 h, in the Seminar Room (ground floor) of the Dept. for Botany & Biodiversity Research; Rennweg 14.

Wednesday 13.03. 13:00 - 14:00 Hörsaal (Fakultätszentrum für Biodiversität) Rennweg EG
Monday 16.09. 13:00 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 17.09. 13:00 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Wednesday 18.09. 13:00 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Thursday 19.09. 13:00 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Friday 20.09. 13:00 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG

Information

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 2019. 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.

Examination topics

Participants will work on existing model data sets, 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: Mo 07.09.2020 15:43