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330175 VU Multivariate Analyses Methods and their applications in Nutritional Sciences (2021W)
Continuous assessment of course work
Labels
REMOTE
Die Plätze werden vorrangig an Studierende im Masterstudium Ernährungswissenschaften vergeben. Die Einteilung zu den Kursen erfolgt über Moodle
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from We 15.09.2021 08:00 to We 29.09.2021 12:00
- Deregistration possible until Fr 01.10.2021 12:00
Details
max. 60 participants
Language: German
Lecturers
Classes
Lv Termine:
Vorlesungsteil:Fr 01.10.2021 08:00 - 12:40, Digital
Mo 04.10.2021 08:00 - 12:40, Digital
Fr 08.10.2021 08:00 - 12:40, Digital
Mi 13.10.2021 08:00 - 12:40, Digital
Fr 15.10.2021 08:00 - 12:40, Digital
Mo 18.10.2021 08:00 - 12:40, DigitalZwischenprüfung:
Fr 29.10.2021 10:00 - 11:30, DigitalÜbungsteil:
Kurs 1: 08:00 - 10:30
Kurs 2: 11:00 - 13:30
Kurs 3: 14:00 - 16:30Fr 05.11.2021, Digital
Fr 12.11.2021, Digital
Fr 19.11.2021, Digital
Fr 26.11.2021, Digital
Fr 03.12.2021, Digital
Fr 10.12.2021, Digital
Fr 17.12.2021, DigitalAbschlussprüfung:
Fr 14.01.2022 09:00 - 10:30, Digital
Information
Aims, contents and method of the course
Assessment and permitted materials
written intermediate exam about lecture contents. Students who have already passed the lecture exam do not need to repeat thist part.
final online exam with R + delivery of a statistical elaboration on a scientific journal article + participation points in the online practical exercises
final online exam with R + delivery of a statistical elaboration on a scientific journal article + participation points in the online practical exercises
Minimum requirements and assessment criteria
50% of the score for the intermediate exam
+ final exam with R (35%) + statistical paper (10%) + activ participation (5%)
+ final exam with R (35%) + statistical paper (10%) + activ participation (5%)
Examination topics
Contents of the slides and oral lecture + examples from practical exercises
Reading list
s. Moodle
Association in the course directory
Last modified: Tu 28.09.2021 15:09
Prerequisites: practical knowledge of R/R Studio is mandatory!
This course is held in 2 parts: 1. lecture 2. practical exercises (online - 3 groups per 18 students). For the practical exercises it is necessary that R and Studio are installed on your personal computer.
Lectures/exercises will all be held digitally.