Universität Wien

330175 VU Multivariate Analyses Methods and their applications in Nutritional Sciences (2020W)

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

Die Einteilung zu den 3 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. 54 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

ATTENTION change!: All units are done digitally.
Lecture part:
1.10. 9:45-13 (digital), 8.10. 8:30-11.15 (digital), 13.10. 8:30-13.00 (digital), 15.10. 8:30-11.15 (digital), 20.10. 8:30-13.00 (digital), 22.10. 8:30-13.00 (digital), 3.11. 9:00-12.00 (digital)
Excercises on Friday (always digital):
3 groups 8:30-11:00, 11.15-13.45, 14:00-16:30
13.11, 20.11, 27.11, 4.12., 11.12, 18.12 + mid exam (digital) 10.11.20 16-17:30 + final exam (digital) 8.1.21 15-16:30

  • Thursday 01.10. 09:45 - 13:00 UZA2 Hörsaal 7 (Raum 2Z210) 2.OG
  • Thursday 08.10. 08:00 - 11:15 Digital
  • Tuesday 13.10. 08:00 - 13:00 Digital
  • Thursday 15.10. 08:00 - 11:15 Digital
  • Tuesday 20.10. 08:00 - 13:00 Digital
  • Thursday 22.10. 08:00 - 13:00 Digital
  • Tuesday 03.11. 08:00 - 13:00 Digital
  • Tuesday 10.11. 16:00 - 17:30 Digital
  • Friday 13.11. 08:30 - 11:00 Digital
  • Friday 13.11. 11:15 - 13:45 Digital
  • Friday 13.11. 14:00 - 16:30 Digital
  • Friday 20.11. 08:30 - 11:00 Digital
  • Friday 20.11. 11:15 - 13:45 Digital
  • Friday 20.11. 14:00 - 16:30 Digital
  • Friday 27.11. 08:30 - 11:00 Digital
  • Friday 27.11. 11:15 - 13:45 Digital
  • Friday 27.11. 14:00 - 16:30 Digital
  • Friday 04.12. 08:30 - 11:00 Digital
  • Friday 04.12. 11:15 - 13:45 Digital
  • Friday 04.12. 14:00 - 16:30 Digital
  • Friday 11.12. 08:30 - 11:00 Digital
  • Friday 11.12. 11:15 - 13:45 Digital
  • Friday 11.12. 14:00 - 16:30 Digital
  • Friday 18.12. 08:30 - 11:00 Digital
  • Friday 18.12. 11:15 - 13:45 Digital
  • Friday 18.12. 14:00 - 16:30 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 SPSS on the PC
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 SPSS is installed on your personal computer.
If necessary the lectures can all be held digitally. You must be registered to get the information for such a change.

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 SPSS + 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 SPSS (35%) + statistical paper (10%) + activ participation (5%)

Examination topics

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

Reading list

s. Moodle

Association in the course directory

Last modified: Fr 12.05.2023 00:24