Course Recommendations:

1. elective Master module AEF-agr804 "Biometric experimental design and evaluation", read annually in SS,  offers a good support at the beginning of the PhD.

Module Objectives and Content: Students will have advanced knowledge of multiple testing problems, as well as commonly used statistical models; they will know the basic principles of case design; they will be able to design, evaluate and analyze typical experiments and surveys in the field of agricultural and food sciences. Contents of the module: Case number design, regression, variance, covariance analysis, multiple contrast tests, experimental designs, introduction to mixed models, introduction to the statistical software R.

2. Equally helpful is the English language module AEF-em030: Statistical & mathematical tools, which can also be attended by PhD students. Contents see  here.