Universität Wien FIND

Due to the COVID-19 pandemic, changes to courses and exams may be necessary at short notice (e.g. cancellation of on-site teaching and conversion to online exams). Register for courses/exams via u:space, find out about the current status on u:find and on the moodle learning platform.

Further information about on-site teaching and access tests can be found at https://studieren.univie.ac.at/en/info.

Warning! The directory is not yet complete and will be amended until the beginning of the term.

330175 VU Multivariate Analyses Methods and their applications in Nutritional Sciences (2021W)

Continuous assessment of course work
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).

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, Digital

Zwischenprüfung:
Fr 29.10.2021 10:00 - 11:30, Digital

Übungsteil:
Kurs 1: 08:00 - 10:30
Kurs 2: 11:00 - 13:30
Kurs 3: 14:00 - 16:30

Fr 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, Digital

Abschlussprüfung:
Fr 14.01.2022 09:00 - 10:30, 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

50% of the score for the intermediate exam
+ 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