 | | |
| Version 2013-2014 |
|
| SDOC0030-1 | Multivariate statistics
|
|
| Duration : | 20h Th |
|
| Number of credits : |
|
|
| Lecturer : | Gentiane Haesbroeck |
|
Language(s) of instruction :
|
| French language |
|
Course contents :
|
| The content of the course will depend on the audience. If some researchers deal with many multivariate data sets in their respective fields of research, the techniques allowing to analyse them could be developped during the course. The aim is to explain these techniques without entering into the full mathematical details. |
|
Learning outcomes of the course :
|
| At the end of the course, the students are expected to be able to
- find out which method would be most appropriate for analysing a multivariate data set.
- use a statistical software
- interpret the results of the analyses. |
|
Prerequisites and co-requisites/ Recommended optional programme components :
|
| Descriptive statistics, probability theory and inferential statistics. |
|
Planned learning activities and teaching methods :
|
| After each theory lecture, practicals in a computer room will be organised. The students will be asked to analyse real data sets using a given statistical software. |
|
Mode of delivery (face-to-face ; distance-learning) :
|
| The course will be given face-to-face. |
|
Recommended or required readings :
|
| Slides used during the lectures will be used as available lecture notes. |
|
Assessment methods and criteria :
|
| The final mark will be based on a personal homework. |
|
Work placement(s) :
|
| |
|
Organizational remarks :
|
| |
|
Contacts :
|
| G.HAESBROECK, Institute of mathematics, Building B37, room 0/60, tel: 04/366-95-94, email: G.Haesbroeck@ulg.ac.be |
|
