Understanding of regression and and their applications in data analyses.
Acquire a tool box for advanced data analyses.
1. ANOVA 1 and 2
2. Non-parametric tests
3. Multiple linear regression
4. ANCOVA
5. Principal component analysis
1. Linear regression: ANOVA; ANCOVA
2. Multivariate analyses: Matrix calculation; Multiple and nonlinear regression; Own values; Principal component analysis
Computer lab sessions using R
Read the course reference material; question-and-answer sessions.
During the course:
Mini-tests during the course: Theoretical questions after the practical work on the subject concerned (10 mins), at the start of the next practical work. during these tests, you will not be able to consult the course or access the internet. These contribute 10% to the final mark of the first exam session.
Exam session:
Evaluation of theory and practical work: theoretical questions and exercises similar to the exercises carried out during practical work, using R.
The overall grade is left to the discretion of the teaching team based on the grade of the mini-tests (~10%) and the final exam (~A90%) and the overall participation of the student (bonus up to 'at 0.5 points). It is necessary to obtain an overall score >10 to pass the course.
Material on webcampus.
| Training | Study programme | Block | Credits | Mandatory |
|---|---|---|---|---|
| Bachelor in Geography : General | Standard | 0 | 4 | |
| Bachelor in Geology | Standard | 0 | 4 | |
| Bachelor in Geography : General | Standard | 3 | 4 | |
| Bachelor in Geology | Standard | 3 | 4 |