Courses
Modelling in Geo- and Environmental Sciences (B. Sc.)
Lecture + exercise, 4 SWS, summer term
Contents:
- Model development
- Growth models
- Steady state
- Stability, sensitivity, uncertainty
Lecturer(s): Prof. Dr. Christiane Zarfl, Rebecca Peters, Matthias Böckmann
Matlab course (B. Sc.)
Exercise, 1 SWS, summer and winter term
Contents:
- the basics of matlab
- editor and plots
- matrix operations
- loops
- functions
- differential equations
Lecturer(s): Prof. Dr. Christiane Zarfl, Matthias Böckmann
Ökologie und Kulturgeschichte (Studium Generale)
Block course, 3 SWS, winter and summer term
Contents:
- Überblick über grundlegende ökologische Konzepte und die Geschichte der Mensch-Natur Beziehungen aus umweltnaturwissenschaftlicher Perspektive.
- Bedeutung der naturwissenschaftlichen Ökologie innerhalb der Kultur- und Globalgeschichte
Lecturer: Dr. Jonas Schaper
Aquatic and Environmental Chemistry (M. Sc.)
Lecture + exercise, 4 SWS, winter term
Contents:
- Distribution of pollutants in the environment
- Sorption behaviour of non-polar and polar compounds
- Non-linear sorption
- Diffusion and transport of pollutants in different media
- Bioaccumulation
Lecturer: Prof. Dr. Christiane Zarfl (together with Prof. Dr. P. Grathwohl, Prof. Dr. S. Haderlein)
Data Analysis and Modeling Methods (Introduction Scientific Programming, Matlab) (M. Sc.)
Block course, 2 SWS, winter term
Contents:
- reading, writing, manipulating and plotting data
- matrix algebra, solving linear equation systems and linear regression
- programming loops and conditional statements and writing functions
- solving simple differential equations and parameter inference
Lecturer: Prof. Dr. Christiane Zarfl, Dr. Jonas Schaper
Data Analysis and Modeling Methods (Geographic Information Systems) (M. Sc.)
Block course, 2 SWS, summer term
Contents:
This course provides an introduction into spatial data analysis with GIS, specifically using the software ArcGIS. Contents include:
- GIS: definitions, vector (vs. raster) data, projections
- Tools for spatial data analysis for vector data
- Data compilation, data pre-processing
- Data representation, map design
The course is a combination of lecture and hands-on exercises from georeferenced data acquisition to poster presentation. The final assignment includes the preparation and presentation of a poster.
Note that the course is intended for GIS beginners.
Lecturer: Prof. Dr. Christiane Zarfl & Rebecca Peters
Modeling for Sustainable River Management (M. Sc.)
Lecture + exercise, 4 SWS, summer term
Contents:
- Introduction into different mathematical modelling approaches to describe environmental processes with a specific focus on freshwater ecosystems (including differential systems but beyond), parameter estimation techniques and uncertainty analysis
- Understanding interdependent environmental system dynamics within the (socio-)hydrological cycle across scales and system boundaries
- Application of models to environmental challenges
- Models as tools for decision/discussion support/ sustainable water management
Lecturer: Prof. Dr. Christiane Zarfl, Dr. Jonas Schaper