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).

Registration is open from Mo 14.09.2020 08:00 to Su 27.09.2020 16:00
Deregistration possible until Su 27.09.2020 16:00

Details

max. 54 participants

Language: German

Lecturers

Hans Peter Stüger

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