Duration
10h Th, 10h Mon. WS
Number of credits
| Advanced Master in Integrated Management of Health Risks in the Global South (Registrations are closed) | 1 crédit |
Lecturer
Language(s) of instruction
English language
Organisation and examination
Teaching in the first semester, review in January
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
The course presents the basics of biostatitics (uni- and multivariate descriptive analysis, hypothesis testing), using MS Excel and R.
Learning outcomes of the learning unit
At the end of the course, the student is able to:
- choose the adequate graphical presentation for a dataset
- choose the adequate descriptive statistics to give correct account of the variability in a dataset
- understand the basic statistical tests and is able to use them
- is able to interpret the results of the analyses
- use the basic statistical functions of MS Excel.
- understand the basics of the R software (data set manipulation, functions usage, basic statistical analyses).
Prerequisite knowledge and skills
Planned learning activities and teaching methods
Presentations, discussions, exercises (with computers)
Mode of delivery (face to face, distance learning, hybrid learning)
face-to-face
Recommended or required readings
The slideshows presented during the lectures and some other additional material will be given to the students.A book "Méthodes statistiques en médecine vétérinaire" by Frédéric Farnir and Pascal Leroy is available at the Presses Universitaires de Liège.
The slides and exercises used in the course will be available on the course website
An exam on the analysis of a dataset and the interpretation of an analysis results will be carried on. The result is obtained on the basis of the results of the analysis and the explanations of the approach.
Work placement(s)
Organisational remarks and main changes to the course
5 sessions, with 2h theory and 2 hours hands-on using computers
Contacts
Evelyne Moyse Evelyne.Moyse@uliege.be
Frédéric Farnir f.farnir@uliege.be
Tél: +32 4 3664150