In-depth understanding of regression and multivariate methods and and their applications in data analyses.
Acquire a tool box for advanced data analyses.
This course is divided into two parts: 1) Regression (Prof. Lima Mendez) and 2) Multivariate analysis (Prof. Depiereux).
The first part will focus on linear models with (1) multiple explanatory variables, (2) continuous and discrete explanatory variables. The second part will focus on multivariate analyses, in particular principal component analyses.
1. Linear regression: ANOVA; ANCOVA
2. Multivariate analyses: Matrix calculation; Multiple and nonlinear regression; Own values; Principal component analysis.
Computer lab sessions using R.
The first part will be evaluated at the end of the semester, during the last session of practical work, the students will receive exercises similar to the exercises carried out during practical work.
Second part (Depiereux): continuous assessment (there is no second session).
Le matériel est accessible sur webcampus.
| Training | Study programme | Block | Credits | Mandatory |
|---|---|---|---|---|
| Bachelor in Geology | Standard | 0 | 4 | |
| Master in Innovation Management and the Food Design, Professional focus | Standard | 0 | 4 | |
| Bachelor in Geography : General | Standard | 0 | 4 | |
| Master in Innovation Management and the Food Design, Professional focus | Standard | 1 | 4 | |
| Bachelor in Geology | Standard | 3 | 4 | |
| Bachelor in Geography : General | Standard | 3 | 4 |