Modul: Quantitative Methods in Biosciences (3402-420)

Personen:

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

Studiengang:

• Crop Sciences - Plant Breeding and Seed Science (Master, PO vom 01.10.2014)
  1. Semester, Wahl
• Crop Sciences - Plant Nutrition and Protection (Master, PO vom 01.10.2014)
  1. Semester, Wahl
• Organic Agriculture and Food Systems (Master, PO vom 01.10.2014)
  3. Semester, Wahl
• Agricultural Sciences in the Tropics and Subtropics (bis Studienbeginn WS 2018/19) (Master, PO vom 01.10.2014)
  3. Semester, Pflicht
• Environmental Science - Soil, Water, and Biodiversity (PO 2014) (Master, PO vom 01.10.2014)
  1. Semester, Pflicht
• Environmental Science - Soil, Water, and Biodiversity (PO 2019) (Master, PO vom 01.04.2019)
  1. Semester, Pflicht
• Agricultural Sciences in the Tropics and Subtropics (ab Studienbeginn WS 2019/20) (Master, PO vom 01.10.2019)
  3. Semester, Wahl

Bezug zu anderen Modulen:

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"

Teilnahme­vorraussetzungen:

A first course in statistics

Sprache:

englisch

ECTS:

6 credits

Angebotshäufigkeit:

jedes WS

Dauer des Moduls:

1 Semester

Prüfungsleistung:

Written exam (100 %)

Prüfungsdauer:

120 Minuten

Arbeitsaufwand:

56 h Präsenz + 104 h Eigenanteil + Prüfung = 160 h Workload

Fachkompetenzen:

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.

Schlüsselkompetenzen:

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.

Anmerkungen:

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

eLearning:

Veranstaltung im ILIAS

Lehrveranstaltungen