Module: Quantitative Methods in Biosciences (3402-420)

Persons:

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

Degree Program:

• Crop Sciences - Plant Breeding and Seed Science (Master, since 01.10.2014)
  1. Semester, elective
• Crop Sciences - Plant Nutrition and Protection (Master, since 01.10.2014)
  1. Semester, elective
• Organic Agriculture and Food Systems (Master, since 01.10.2014)
  3. Semester, elective
• Agricultural Sciences in the Tropics and Subtropics (until WS 2018/19) (Master, since 01.10.2014)
  3. Semester, compulsory
• Environmental Science - Soil, Water, and Biodiversity (Regulations 2014) (Master, since 01.10.2014)
  1. Semester, compulsory
• Environmental Science - Soil, Water, and Biodiversity (Regulations 2019) (Master, since 01.04.2019)
  1. Semester, compulsory
• Agricultural Sciences in the Tropics and Subtropics (from WS 2019/20 on) (Master, since 01.10.2019)
  3. Semester, elective

Relation to other Modules:

The methods covered by this module enable you to make an informed choice anong different statistical methods, when it comes to the design and analysis of your own survey or experiment. Notice: compulsory for the specifications "Plant" and "Animal"

Prerequisites for Attendance:

A first course in statistics

Sprache:

English

ECTS:

6 credits

Frequency:

every winter 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 have a profound knowledge of basic statistical methods and concepts. They can apply advanced quantitative methods as used in either the biosciences or in economy. They are able to make informed use of up-to-date computing tools.

Key competences:

During preparation for the exam, while preparing and following up on lectures and while participating in the laboratory, participants practice self-reliance and time management. The successful participant is able to identify and apply suitable basic statistical methods for his or her own survey and experiment. Key concepts are understood so that the participant is well equipped to professionally communicate with a statistician about his/her planned experiment or survey both at the design stage and the analysis stage.

Comments:

It is necessary to register per ILIAS for the participation in this module.

eLearning:

Course in ILIAS

Courses