Modul: Interdisciplinary Practical Science Training (4907-440)

Personen:

• Prof. Dr. Folkard Asch (verantwortlich)

Studiengang:

• Agricultural Sciences in the Tropics and Subtropics (bis Studienbeginn WS 2018/19) (Master, PO vom 01.10.2014)
  2. Semester, Pflicht
• Agricultural Sciences in the Tropics and Subtropics (ab Studienbeginn WS 2019/20) (Master, PO vom 01.10.2019)
  2. Semester, Pflicht

Teilnahme­vorraussetzungen:

Nur für Teilnehmer am Agritropics Masterprogramm

Sprache:

englisch

ECTS:

7,5 credits

Angebotshäufigkeit:

jedes SS

Dauer des Moduls:

4 Wochen (Block 1)

Studienleistung:

2 oral exams in groups (each 20%)

Prüfungsleistung:

written paper in the form of a project report (60%)

Arbeitsaufwand:

85 h Präsenz + 140 h Eigenanteil + Prüfung = 225 h Workload

Fachkompetenzen:

After completing the module, students can apply basic scientific methods in biophysical agricultural science. The interdisciplinary team introduces basic methods and equipment relevant in their respective fields. Students can handle complete sets of experiments in greenhouse, climate chamber and laboratory following plant production from seed related issues, via vegetative and reproductive plant growth and development assessment to final harvest and fodder assessments.
Students can illustrate the specific requirements of the participating disciplines in terms of equipment, scientific methods and data analysis.

Schlüsselkompetenzen:

Students learn during the experiments to organize data collection from experiments, transfer original data to Excel and perform simple data analyses. They are able to produce tables and graphs from these data and understand the differences between the two forms of presentation. Finally, students practice reporting on their scientific experiments in the presentation. At the same time, the ability of students to work in a team as well as their communication and cooperation ability is promoted by the group seminars.

Anmerkungen:

Participation is obligatory - classes cannot be skipped.
(obligatory group work: data analyses, reading up theory, analyses and presentation of data, report writing)

Lehrveranstaltungen