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 can be found at https://studieren.univie.ac.at/en/info.

330075 VU Multivariate Analyses Methods and their applications in Nutritional Sciences (2020S)

Continuous assessment of course work

Die Einteilung zu den 3 Kursen erfolgt über Moodle

Registration/Deregistration

Details

max. 54 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

***Über die aufgrund der Corona Pandemie nötigen Änderungen erfolgt ein regelmäßiges update über moodle .***

Do 05.03.2020 11:30 - 16:30 UZA2-HS7
Di 10.03.2020 12:30 - 16:30 HS4
die folgenden März-Termine werden aufgrund der Corona Krise auf home-learning umgestellt, weitere Informationen dazu werden den Teilnehmer*innen vom Lehrenden kommuniziert.
Mo 16.03.2020 11.30-15.45
Do 19.03.2020 11.30-15.45
Do 26.03.2020 11.30-15.45

schriftl. Zwischen-Prüfung:
Termin wird noch geklärt und ist abhängig von aktueller Corona-Lage!!

Gruppe 1:
23.04.2020 08:30-11:15 EDV Raum UZA2-2C502
30.04.2020 08:30-11:15 EDV Raum UZA2-2C502
07.05.2020 08:30-11:15 EDV Raum UZA2-2C502
14.05.2020 08:30-11:15 EDV Raum UZA2-2C502
28.05.2020 08:30-11:15 EDV Raum UZA2-2C502
04.06.2020 08:30-11:15 EDV Raum UZA2-2C502
Gruppe 2:
23.04.2020 11:15-14:00 EDV Raum UZA2-2C502
30.04.2020 11:15-14:00 EDV Raum UZA2-2C502
07.05.2020 11:15-14:00 EDV Raum UZA2-2C502
14.05.2020 11:15-14:00 EDV Raum UZA2-2C502
28.05.2020 11:15-14:00 EDV Raum UZA2-2C502
04.06.2020 11:15-14:00 EDV Raum UZA2-2C502

Gruppe 3:
23.04.2020 14:00-16:45 EDV Raum UZA2-2C502
30.04.2020 14:00-16:45 EDV Raum UZA2-2C502
07.05.2020 14:00-16:45 EDV Raum UZA2-2C502
14.05.2020 14:00-16:45 EDV Raum UZA2-2C502
28.05.2020 14:00-16:45 EDV Raum UZA2-2C502
04.06.2020 14:00-16:45 EDV Raum UZA2-2C502

Abschlussklausur 10.06.2020 Uhrzeiten werden noch bekannt gegeben

Thursday 05.03. 11:30 - 16:30 UZA2 Hörsaal 7 (Raum 2Z210) 2.OG
Tuesday 10.03. 11:30 - 15:45 UZA2 Hörsaal 4 (Raum 2Z221) 2.OG
Monday 16.03. 11:30 - 15:45 UZA2 Hörsaal 4 (Raum 2Z221) 2.OG
Thursday 19.03. 11:30 - 15:45 UZA2 Hörsaal 7 (Raum 2Z210) 2.OG
Thursday 26.03. 11:30 - 15:45 UZA2 Hörsaal 7 (Raum 2Z210) 2.OG
Thursday 23.04. 08:30 - 16:45 EDV-Raum 4 2C502 5.OG UZA II
Thursday 30.04. 08:30 - 16:45 EDV-Raum 4 2C502 5.OG UZA II
Thursday 07.05. 08:30 - 16:45 EDV-Raum 4 2C502 5.OG UZA II
Thursday 14.05. 08:30 - 16:45 EDV-Raum 4 2C502 5.OG UZA II
Thursday 28.05. 08:30 - 16:45 EDV-Raum 4 2C502 5.OG UZA II
Thursday 04.06. 08:30 - 16:45 EDV-Raum 4 2C502 5.OG UZA II
Wednesday 10.06. 08:30 - 11:15 EDV-Raum 4 2C502 5.OG UZA II
Wednesday 10.06. 13:00 - 20:00 EDV-Raum 4 2C502 5.OG UZA II

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 SPSS on the PC
This course is held in 2 parts: 1. lecture 2. practical exercises in computer room (3 groups per 18 students)

Assessment and permitted materials

written intermediate exam - (date has to be confirmed - possibly 27.4.20) without aid: a positive result is necessary for participating in the practical part of the course. Students who have already passed the lecture exam do not need to repeat thist part.
PC-exam in computer room (aids are allowed) + delivery of a statistical elaboration on a scientific journal article

Minimum requirements and assessment criteria

51% of the score for the intermediate exam
for the practical part: final exam (70%) + statistical paper (20%) + activ participation (10%)

Examination topics

Contents of the slides and oral lecture + examples from practival exercises

Reading list

s. Moodle

Association in the course directory

Last modified: Mo 07.09.2020 15:22