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300368 UE Practical data analysis in ecology, biodiversity and zoology (2018S)
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 Fr 09.02.2018 08:00 to Th 22.02.2018 18:00
- Deregistration possible until Sa 31.03.2018 18:00
Details
max. 15 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
The above date ONLY refers to the initial meeting! Participation is mandatory. The proper course work will occur daily, 13-17 h, from 03 Sep to 07 Sep 2018, in the Seminar room (ground floor) of the Dept. of Botany & Biodiversity Research, Rennweg 14.
- Tuesday 13.03. 11:00 - 12:00 Hörsaal (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!
Assessment and permitted materials
At the end of the course, a package of statistical problems will be distributed to the participants. These have to be worked out individually. A pdf file containing the solutions and test results has to be submitted electronically, at latest by 01 November 2018. 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
This course aims at familiarizing MSc students with an interest in organismal biology with a wide 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 (PAST, EstimateS and others), 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. Participants are encouraged to bring along their own data and questions.
Examination topics
Participants will work on existing model data sets. If applicable, participants are invited to bring their own data sets, scientific questions and quantitative problems, to be jointly discussed and solved.
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