330175 VU Multivariate Analyses Methods and their applications in Nutritional Sciences (2023S)
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 08.02.2023 08:00 to We 22.02.2023 08:00
- Deregistration possible until We 22.02.2023 08:00
Details
max. 60 participants
Language: German
Lecturers
Classes
LV Termine:
DI 07.03.2023 08:00 bis 12:00 Uhr DIGITAL
FR 10.03.2023 08:00 bis 12:00 Uhr DIGITAL
DI 21.03.2023 08:00 bis 12:00 Uhr DIGITAL
FR 17.03.2023 08:00 bis 12:00 Uhr DIGITAL
FR 24.03.2023 08:00 bis 12:00 Uhr DIGITAL
DO 30.03.2023 16:00 bis 17:30 Uhr DIGITALGruppe 1:FR 21.04.2023 08:00 bis 10:30 Uhr DIGITAL
FR 28.04.2023 08:00 bis 10:30 Uhr DIGITAL
FR 05.05.2023 08:00 bis 10:30 Uhr DIGITAL
FR 12.05.2023 08:00 bis 10:30 Uhr DIGITAL
FR 02.06.2023 08:00 bis 10:30 Uhr DIGITAL
FR 16.06.2023 08:00 bis 10:30 Uhr DIGITAL
FR 23.06.2023 08:00 bis 10:30 Uhr DIGITAL
DO 29.06.2023 16:00 bis 17:30 Uhr DIGITALGruppe 2:FR 21.04.2023 11:00 bis 13:30 Uhr DIGITAL
FR 28.04.2023 11:00 bis 13:30 Uhr DIGITAL
FR 05.05.2023 11:00 bis 13:30 Uhr DIGITAL
FR 12.05.2023 11:00 bis 13:30 Uhr DIGITAL
FR 02.06.2023 11:00 bis 13:30 Uhr DIGITAL
FR 16.06.2023 11:00 bis 13:30 Uhr DIGITAL
FR 23.06.2023 11:00 bis 13:30 Uhr DIGITAL
DO 29.06.2023 16:00 bis 17:30 Uhr DIGITALGruppe 3:FR 21.04.2023 14:00 bis 16:30 Uhr DIGITAL
FR 28.04.2023 14:00 bis 16:30 Uhr DIGITAL
FR 05.05.2023 14:00 bis 16:30 Uhr DIGITAL
FR 12.05.2023 14:00 bis 16:30 Uhr DIGITAL
FR 02.06.2023 14:00 bis 16:30 Uhr DIGITAL
FR 16.06.2023 14:00 bis 16:30 Uhr DIGITAL
FR 23.06.2023 14:00 bis 16:30 Uhr DIGITAL
DO 29.06.2023 16:00 bis 17:30 Uhr DIGITAL
Information
Aims, contents and method of the course
Assessment and permitted materials
written intermediate exam about lecture contents (90min). Students who have already passed the lecture exam do not need to repeat thist part.
final online exam with R (90min) + delivery of a statistical elaboration on a scientific journal article + participation points in the online practical exercisesYou can use all material (paper, electronically) from the lecture, but no web search results or any AI-apps.
final online exam with R (90min) + delivery of a statistical elaboration on a scientific journal article + participation points in the online practical exercisesYou can use all material (paper, electronically) from the lecture, but no web search results or any AI-apps.
Minimum requirements and assessment criteria
45% of the score for the intermediate exam
+ final exam with R (35%) + statistical paper (15%) + activ participation (5%)
grading key (points out of 100): 90+ 1; 77+ 2; 64+ 3; 51+ 4
+ final exam with R (35%) + statistical paper (15%) + activ participation (5%)
grading key (points out of 100): 90+ 1; 77+ 2; 64+ 3; 51+ 4
Examination topics
Contents of the slides and oral lecture + examples from practical exercises
Reading list
lecture slides
Association in the course directory
Last modified: We 01.03.2023 17:49
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.