Faculty of Mathematics and Natural Sciences - Biogeography

Master's level classes

We are involved in three classes at the Master’s level. All classes at the Master’s level are held in English. The flowchart provides an overview of the MSc classes regularly offered, including suggestions for electives for those wanting to put an emphasis on biodiversity and/or land use. Please do not hesitate to contact us in case you have questions about these classes. To see which classes are currently offer and to enroll in all our classes please use the online tool AGNES.

MSC_teaching-overview.png

 

Global Land Use Dynamics

Learn about the importance of land use as a driver and outcome of global change. We teach the major causes, patterns, and consequences of land-use change, as well as concepts and tools to assess these changes. This class is offered together with a number of professors and senior scientists: Patrick Hostert, Daniel Müller, Jonas Nielsen, Tobias Kümmerle and Matthias Baumann. A more detailed description can be found here.

Ecosystem Dynamics and Global Change

This course provides an introduction to systems thinking and ecosystem ecology. Learn about and model food webs, biomass and nutrient cycling, resilience and regime shifts, and the role of biodiversity in ecosystems. This class is jointly taught by Tobias Kümmerle, Sonja Jähnig, Manuel Wolff and Florian Pötzschner. A more detailed description can be found here.

Biodiversity in the Anthropocene

In this course, we teach biodiversity theory, review trends in biodiversity, and ask how conservation efforts can address biodiversity loss. We jointly discuss recent scientific literature including some controversial conservation positions.This class is jointly taught by Sonja Jähnig, Tobias Kümmerle, and others. A more detailed description can be found here.

Geoprocessing in python

In this class, you learn how to process geodata efficiently using open-source programing tools, especially python. You will learn how to use Google Earth Engine as a cloud computing environment to process large amounts of geodata, such as satellite images. This class is offered jointly by the Earth Observation and Conservation Biogeography Labs.