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

Personen:

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

Studiengang:

• Crop Sciences - Plant Breeding and Seed Science (Master, PO vom 01.10.2014)
  3. Semester, Wahl

Teilnahme­vorraussetzungen:

Erfolgreiche Teilnahme am Modul "Advances statistical methods for metric and qualitative data"

Sprache:

englisch

ECTS:

6 credits

Angebotshäufigkeit:

jedes WS

Dauer des Moduls:

1 Semester

Studienleistung:

Written paper in publication format (50 %)

Prüfungsleistung:

Presentation (25 %) with discussion (25 %)

Prüfungsdauer:

30 Minuten

Arbeitsaufwand:

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

Fachkompetenzen:

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

Schlüsselkompetenzen:

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:

Veranstaltung im ILIAS

Lehrveranstaltungen