Universität Wien
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330175 VU Multivariate Analyses Methods and their applications in Nutritional Sciences (2022W)

7.00 ECTS (4.00 SWS), SPL 33 - Ernährungswissenschaften
Continuous assessment of course work
REMOTE

Die Plätze werden vorrangig an Studierende im Masterstudium Ernährungswissenschaften vergeben. Die Einteilung zu den Kursen erfolgt über Moodle

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).

Details

max. 60 participants
Language: German

Lecturers

Classes

Lecture part: (all students)
DI 04.10.2022 8:00 bis 12:00 Uhr DIGITAL
DI 07.10.2022 8:00 bis 12:00 Uhr DIGITAL
DI 11.10.2022 8:00 bis 12:00 Uhr DIGITAL
FR 14.10.2022 8:00 bis 12:00 Uhr DIGITAL
FR 21.10.2022 8:00 bis 12:00 Uhr DIGITAL
FR 04.11.2022 8:00 bis 12:00 Uhr DIGITAL

mid-term exam:
DO 10.11.2022 16:00 bis 17:30 DIGITAL

Practical exercises - Group 1:
Fr 18.11.2022 08:00 bis 10:30
Fr 25.11.2022 08:00 bis 10:30
Fr 02.12.2022 08:00 bis 10:30
Fr 16.12.2022 08:00 bis 10:30
Fr 13.01.2023 08:00 bis 10:30
Fr 20.01.2023 08:00 bis 10:30
Fr 27.01.2023 08:00 bis 10:30

Practical exercises - Group 2:
Fr 18.11.2022 11:00 bis 13:30
Fr 25.11.2022 11:00 bis 13:30
Fr 02.12.2022 11:00 bis 13:30
Fr 16.12.2022 11:00 bis 13:30
Fr 13.01.2023 11:00 bis 13:30
Fr 20.01.2023 11:00 bis 13:30
Fr 27.01.2023 11:00 bis 13:30

Practical exercises - Group 3:
Fr 18.11.2022 14:00 bis 16:30
Fr 25.11.2022 14:00 bis 16:30
Fr 02.12.2022 14:00 bis 16:30
Fr 16.12.2022 14:00 bis 16:30
Fr 13.01.2023 14:00 bis 16:30
Fr 20.01.2023 14:00 bis 16:30
Fr 27.01.2023 14:00 bis 16:30

Final exam:
DI 31.01.2023 16:00 bis 17:30 Uhr DIGITAL

Information

Aims, contents and method of the course

comprehensive understanding of multivariate methods + terminology: modelling (general linear model incl. repeated measurements, logistic regression), PCA & factor analysis, cluster analysis. Practical exercises with R/R-Studio on the PC
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.

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

Minimum requirements and assessment criteria

45% of the score for the intermediate exam
+ final exam with R (35%) + statistical paper (15%) + 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 27.09.2022 09:10