3 ECTS credits
90 h study time

Offer 1 with catalog number 4022278FNR for all students in the 1st semester at a (F) Master - specialised level.

Semester
1st semester
Enrollment based on exam contract
Impossible
Grading method
Grading (scale from 0 to 20)
Can retake in second session
Yes
Enrollment Requirements
Om een inschrijving te kunnen nemen voor 'Expert Master Classes Quantitative Statistics (elective course)' moet men geslaagd zijn voor 'Master Classes Statistics (Quantitative & Qualitative)' én moet men ingeschreven of geslaagd zijn voor 'Advanced Master Classes Statistics (Quantitative & Qualitative)'.
Taught in
English
Faculty
Faculteit Geneeskunde en Farmacie
Department
Public Health Sciences
Educational team
Kurt Barbé (course titular)
Camille Raets
Activities and contact hours
Course Content

The course gives an introduction to time series analysis specifically applied to gerontological sciences. The course aims at an introduction which allows (i) descriptive analyses and non-parametric insight in temporal dynamics, (ii) applying standard models which relate to typical regression or general linear models in the Yule-Walker framework and finally (iii) using the R-syntax as a software package.

Content:

1. R programming language

2. Seasonal analysis and harmonic decomposition

3. Temporal dynamics, autocorrelation and memory effects

4.  Autoregressive and moving-average models

Additional info

The course is based on "Boaz Porat, Digital Processing of Random Signals – Theory and Methods, Dover Publications, NY USA, 1994". Although this book provides the thorough mathematical details, the course provides a user-friendly approach which balances the mathematical details from a practical viewpoint. On top of that, the course captures state-of-the-art methods from the teacher's publications.

The slides are normally sufficient which holds the R-code as well as the minimal mathematical details needed to understand "Time Series Analysis". 

Learning Outcomes

Algemene competenties

The student come in contact with a completely different statistical framework. Although from a mathematical viewpoint there are connections to the "General Linear Model" framework used in AN(C)OVA methods, its philosophy and rationale is totally different. On top of that, the course provides a modern approach where a lot of attention is given to the data comprehension next to the modelling framework.

Grading

The final grade is composed based on the following categories:
Other Exam determines 100% of the final mark.

Within the Other Exam category, the following assignments need to be completed:

  • Examen Andere with a relative weight of 100 which comprises 100% of the final mark.

Additional info regarding evaluation

The course is evaluated by means of permanent evaluations. The students receive specific tasks on the various topics which are rated by the teachers. A total of 4 tasks - 1 per topic - is provided to the students where the students complete and report the tasks. 

Allowed unsatisfactory mark
The supplementary Teaching and Examination Regulations of your faculty stipulate whether an allowed unsatisfactory mark for this programme unit is permitted.

Academic context

This offer is part of the following study plans:
Research Master of Gerontological Sciences: Standaard traject