Module: Advanced Statistical Methods for Metric and Categorical Data (3402-450)

Persons:

• Prof. Dr. Hans-Peter Piepho (verantwortlich)

Degree Program:

• Crop Sciences - Plant Nutrition and Protection (Master, since 01.10.2014)
  2. Semester, elective
• Crop Sciences - Plant Breeding and Seed Science (Master, since 01.10.2014)
  2. Semester, compulsory
• Biobased Products and Bioenergy (Master, since 01.10.2014)
  2. Semester, semi-elective
• Agricultural Sciences - Major: Crop Production Systems (Master, since 01.10.2015)
  2. Semester, semi-elective
• Biobased Products and Bioenergy (Master, since 01.04.2019)
  2. Semester, elective
• Biobased Products and Bioenergy (Master, since 01.10.2019)
  2. Semester, elective

Prerequisites for Attendance:

This Module assumes that you have participated in the two modules "Statistik" and "Biometrie" in the B.Sc. programmes AW and AB. In particular, it is crucial that you fully understand the fixed effects linear model, which is covered extensively in the module "Biometrie". If you have not participated in these two modules, you must make sure you acquire the relevant knowledge before the Bioinformatics module. Check out the material for the "Biometrie" module on Ilias.

Sprache:

English

ECTS:

6 credits

Frequency:

every summer semester

Length of the Module:

1 semester

Final examination:

Written exam (100 %)

Length of the examination:

120 minutes

Workload:

56 h presence + 104 h preparation at home + exam = 160 h workload

Professional competences:

After successfully completing this module, participants master the theory of linear mixed models as well as of models for categorical data and are able to implement these using the SAS software.

Key competences:

During preparation for the exam, while preparing and following up on lectures and while participating in the exercise, participants practice managing time and working independently. Challenged with statistical analysis, they learn and practice critical and analytical thinking, while generally improving their ability to explore a scientific subject. Finally, participants are qualified for strategic planning of research projects.

Comments:

It is necessary to register per ILIAS for the participation in this module. The link to ILIAS is provided below.

Courses