Module: Population and Quantitative Genetics (3502-450)

Persons:

• Prof. Dr. Karl Schmid (verantwortlich)

Degree Program:

• Landscape Ecology (Master, since 01.10.2014)
  3. Semester, elective
• Crop Sciences - Plant Breeding and Seed Science (Master, since 01.10.2014)
  1. Semester, compulsory
• Environmental Science - Soil, Water, and Biodiversity (Regulations 2014) (Master, since 01.10.2014)
  1. Semester, elective
• Agricultural Sciences - Major: Crop Production Systems (Master, since 01.10.2015)
  3. Semester, semi-elective
• Environmental Science - Soil, Water, and Biodiversity (Regulations 2019) (Master, since 01.04.2019)
  1. Semester, elective
• Environmental Science - Soil, Water, and Biodiversity (Regulations 2014) (Master, since 01.10.2014)
  3. Semester, semi-elective
• Environmental Science - Soil, Water, and Biodiversity (Regulations 2019) (Master, since 01.04.2019)
  3. Semester, semi-elective

Relation to other Modules:

None

Prerequisites for Attendance:

- Basic understanding of genetics: Structure and function of DNA, RNA and proteins; Mendelian inheritance; Genetic recombination; - Principles of statistics: Normal distribution, hypothesis testing, mean and variances;

Sprache:

English

ECTS:

6 credits

Frequency:

every winter semester

Length of the Module:

1 semester

Compulsory assignment:

Written exam (50 %)

Final examination:

Written exam (50 %)

Length of the examination:

120 minutes

Workload:

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

Professional competences:

After successfully completing the module, students can describe the genetic structure and dynamics of populations in dependence of evolutionary factors and effects of breeding. They are familiar with the genetic basis of quantitative trait variation and are able to model and interpret patterns of variation relevant for breeding.

Key competences:

During preparation for the exams, while preparing and following up on lectures and during the exercises, students enhance their organizational skills, self-reliance, time management communication and cooperation skills. They learn and practice critical and analytical thinking in the exercises, while also being challenged with independently solving mathematical exercises.

Comments:

The first exam (compulsory assignment) takes place midterm, the exact date is announced at the beginning of the lecture.

eLearning:

Course in ILIAS

Courses