Teaching

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 [GRIPS]

Specialised lectures for BSc / MSc / PhD level

  • Seminar 54374: Theoretische Ökologie [more details / GRIPS]
  • Blockkurs 54371: Introduction to Statistics and Data Science with R [GRIPS / lecture notes]
  • Blockkurs 54375: Advanced 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 are in our course catalogue.

Open teaching materials

Course material developed in the open and free to reuse. The block-course notes are published as full online books and are written to stand on their own, so they are usable well beyond the courses themselves:

Internships and qualification theses

Offered by our group — follow the links for details:

I also coordinate the M.Sc. programme Ecology, Evolution & Conservation (EEC) and chair its examination committee.