Starting this summer semester, the Department for Environmental Microbiology is offering a new module, Statistical analysis in environmental sciences. The module will be available as elective module to master students in the programs UMW, WASTE and WAREM. It is already open for enrollment on C@mpus and will be offered every summer semester from now on. For more information on what the modules entail, please see below or check out our teaching webpage. The module will be taught in English.
Statistical analysis in environmental sciences
The Statistical analysis in environmental sciences module will introduce students to the use of statistical analysis tools for the evaluation of environmental science datasets. Studies addressing environmental issues need to be accompanied by an adequate statistical interpretation of the results in order to infer the validity of the research. This course will cover the foundations of uni- and multivariate statistical analysis with different types of distributions. Students will also learn to differentiate between discrete vs. contin-uous, and fixed vs. random variables. They will also learn how to choose the correct statistical test for each of these types of data. These analyses and concepts will then be implemented for the development and testing of scientific hypotheses. The lecture will provide the students with the theory of the statistical tools and how to implement them on various types of experimental designs. The practical exercises will introduce students to the R programming language which is widely used in science for the implementation of statistical analysis. Students will also learn how to produce figures that allow them to visualize data and the results of their accompany-ing statistical tests.
Courses:
- Lecture on Principles of statistical analysis
- Practical exercises on statistical analysis in R