Our teaching activities focus on the theory of ecology as well as statistics, data science, machine learning, theory and simulation models in ecology and evolution. The following is a list of regularly taught courses and lectures
Lectures for the BSc Biology (Grundvorlesungen)
- Vorlesung 54103: Allgemeine Biologie II - Ökologie 2. Semester [GRIPS]
- Vorlesung 54133: Statistik und Bioinformatik 5. Semester [GRIPS / lecture notes]
- Praktikum 54128: Evolutionsbiologie und Molekulare Ökologie WPP 4. Semester
Specialised lectures offered for BSc / MSc / PhD level
- Blockkurs 54371: Introduction to statistics and data science with R [GRIPS / lecture notes]
- Blockkurs 54375: Adanced Regression models in R [GRIPS / lecture notes]
- Blockkurs 54379: Machine Learning and Deep Learning with R [GRIPS / lecture notes]
- Blockkurs 54378: Introduction to Bayesian Statistics [GRIPS / lecture notes]
- Blockkurs 54376: Evolutionary Game Theory (currently not regularly offered)
- Blockkurs 54370: Research Skills [GRIPS / lecture notes see GRIPS]
Dates for the courses taught in a given semester can be found in our course catalogue here (externer Link, öffnet neues Fenster).
Seminar 54374: Theoretische Ökologie: Our group seminar is usually Wednesday, 10.00 in the seminar room botany (E4_2.301). Announcement of topics / dates happen via our AG GRIPS course (externer Link, öffnet neues Fenster), which also provides an overview of all other teaching activities of the group. Interested students are welcome to join the seminar any time, but as meetings will not necessarily happen every Wednesday or may be shifted to another date or time, it is advisable to enrol in the GRIPS course before visiting the seminar.
Internship and qualification theses offered by our group (follow link for more information):
- BSc Projektpraktikum / Forschungspraktikum
- BSc Arbeit
- MSc Focus subject Theoretical Ecology (as part of MSc Biology or EEC)
- MSc Thesis
Information for external course participants (from other universities)
External participants (i.e. from other universities or research institutes) that want to take part in our courses (in particular online courses) need a gues account at the UR to be able to enroll in courses and get access to the material that we provide via GRIPS. To get a gues account, please follow these two steps
- Check here if your university or institution is included in the list that can directly create a guest account. If you can get a guest account, create one.
- If you can't create a gues account, please contact the course instructor via email. You will then get a password which you an use to create a guest account here.
After having received your guest account, you can enroll to the courses via GRIPS. The GRIPS link is provided after each course in the list above.