330175 VU Multivariate Analyses Methods and their applications in Nutritional Sciences (2024W)
Continuous assessment of course work
Labels
REMOTE
Summary
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 Mo 09.09.2024 08:00 to We 25.09.2024 18:00
- Deregistration possible until We 25.09.2024 18:00
Registration information is available for each group.
Groups
Group 1
Die Plätze werden vorrangig an Studierende im Masterstudium Ernährungswissenschaften vergeben. Die Einteilung zu den Kursen erfolgt über Moodle
max. 15 participants
Language: German
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
Units from 4.10.-15.11. are lectures,
22.11.-24.1. exercise units (with R).
- Friday 04.10. 08:00 - 12:00 Digital
- Friday 11.10. 08:00 - 12:00 Digital
- Friday 18.10. 08:00 - 12:00 Digital
- Friday 25.10. 08:00 - 12:00 Digital
- Friday 08.11. 08:00 - 12:00 Digital
- Friday 15.11. 08:00 - 12:00 Digital
- Thursday 21.11. 16:30 - 18:00 Digital
- Friday 22.11. 08:00 - 10:30 Digital
- Friday 29.11. 08:00 - 10:30 Digital
- Friday 06.12. 08:00 - 10:30 Digital
- N Friday 13.12. 08:00 - 10:30 Digital
- Friday 10.01. 08:00 - 10:30 Digital
- Friday 17.01. 08:00 - 10:30 Digital
- Friday 24.01. 08:00 - 10:35 Digital
- Thursday 30.01. 16:30 - 18:00 Digital
Group 2
Die Plätze werden vorrangig an Studierende im Masterstudium Ernährungswissenschaften vergeben. Die Einteilung zu den Kursen erfolgt über Moodle
max. 15 participants
Language: German
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
Units from 4.10.-15.11. are lectures,
22.11.-24.1. exercise units (with R).
- Friday 04.10. 08:00 - 12:00 Digital
- Friday 11.10. 08:00 - 12:00 Digital
- Friday 18.10. 08:00 - 12:00 Digital
- Friday 25.10. 08:00 - 12:00 Digital
- Friday 08.11. 08:00 - 12:00 Digital
- Friday 15.11. 08:00 - 12:00 Digital
- Thursday 21.11. 16:30 - 18:00 Digital
- Friday 22.11. 11:00 - 13:30 Digital
- Friday 29.11. 11:00 - 13:30 Digital
- Friday 06.12. 11:00 - 13:30 Digital
- N Friday 13.12. 11:00 - 13:30 Digital
- Friday 10.01. 11:00 - 13:30 Digital
- Friday 17.01. 11:00 - 13:30 Digital
- Friday 24.01. 11:00 - 13:30 Digital
- Thursday 30.01. 16:30 - 18:00 Digital
Group 3
Die Plätze werden vorrangig an Studierende im Masterstudium Ernährungswissenschaften vergeben. Die Einteilung zu den Kursen erfolgt über Moodle
max. 15 participants
Language: German
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
Units from 4.10.-15.11. are lectures,
22.11.-24.1. exercise units (with R).
- Friday 04.10. 08:00 - 12:00 Digital
- Friday 11.10. 08:00 - 12:00 Digital
- Friday 18.10. 08:00 - 12:00 Digital
- Friday 25.10. 08:00 - 12:00 Digital
- Friday 08.11. 08:00 - 12:00 Digital
- Friday 15.11. 08:00 - 12:00 Digital
- Thursday 21.11. 16:30 - 18:00 Digital
- Friday 22.11. 14:00 - 16:30 Digital
- Friday 29.11. 14:00 - 16:30 Digital
- Friday 06.12. 14:00 - 16:30 Digital
- N Friday 13.12. 14:00 - 16:30 Digital
- Friday 10.01. 14:00 - 16:30 Digital
- Friday 17.01. 14:00 - 16:30 Digital
- Friday 24.01. 14:00 - 16:30 Digital
- Thursday 30.01. 16:30 - 18:00 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 02.10.2024 18:26
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.