Module: Advanced Statistical Methods for Metric and Categorical Data II (3402-460)

Persons:

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

Degree Program:

• Crop Sciences - Plant Breeding and Seed Science (Master, since 01.10.2014)
  3. Semester, elective

Prerequisites for Attendance:

Successful completion of module "Advanced statistical methods for metric and qualitative data"

Sprache:

English

ECTS:

6 credits

Frequency:

every winter semester

Length of the Module:

1 semester

Compulsory assignment:

Written paper in publication format (50 %)

Final examination:

Presentation (25 %) with discussion (25 %)

Length of the examination:

30 minutes

Workload:

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

Professional competences:

After successfully completing this module, students are proficient in the analysis of datasets with linear mixed models.

Key competences:

Through self-guided analyses of datasets, students are enabled to work independently, practice self-reliance and time management. They learn and practice critical and analytical thinking when challenged with statistical analysis and by compiling their written paper, while generally improving their ability to explore a scientific subject. Through the presentation, students improve their oral communication skills and their ability to discuss scientific matters.
Students are finally qualified for strategic planning of scientific projects.

eLearning:

Course in ILIAS

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