Due to the COVID-19 pandemic, changes to courses and exams may be necessary at short notice (e.g. cancellation of on-site teaching and conversion to online exams). Register for courses/exams via u:space, find out about the current status on u:find and on the moodle learning platform.
Further information about on-site teaching can be found at https://studieren.univie.ac.at/en/info.
- Registration is open from Fr 24.02.2017 13:25 to Mo 27.02.2017 12:00
- Deregistration possible until Mo 27.02.2017 12:00
The course is scheduled as one block (1 week, 9:00-12:00) in February 2017. The lecture should be attended in combination with the practical course (UE) with the same title and taking place in the same period in the afternoons.
Assessment and permitted materials
Presence throughout the course is not necessary, but strongly recommended to allow following the practical courses in the afternoons. The lecture mark is based on a written examination. No materials are permitted during examination.
Minimum requirements and assessment criteria
Successful participants will gain a working understanding of the mathematical and computational mechanics behind the most commonly used statistical methods in ecology. They will understand how to interpret graphical and tabular output from univariate, bivariate and multivariate analyses of ecological datasets as presented in scientific papers and reports. The lecture also explains backgrounds of statistical thinking, hypothesis testing, study planning and experimental design.
Last modified: Mo 07.09.2020 15:43