ECTS
2 credits
Component
Faculty of Science
List of courses
Choice: 1 of 3
Advanced data processing
2 creditsDescription and inference
2 creditsGIS
2 credits
Advanced data processing
ECTS
2 credits
Component
Faculty of Science
Generalized linear mixed models + methodology and experimental protocols to take account of biological reality: non-normal distribution and pseudo-replication
Protocol optimization, power and uncontrolled 1st order risk: variable transformation, polynomial regression, link function, likelihood, model selection
Deviance analysis and goodness of fit
Incorporation of blocks, repeated measurements over time, consideration of spatial and temporal correlation, over-dispersion
Graphical representation of predictions.
Description and inference
ECTS
2 credits
Component
Faculty of Science
The aim of this course is to provide the statistical foundations needed to follow all the more advanced modules in the curriculum, so it's a general refresher. Descriptive statistics are reviewed (quantile, cumulative frequency polygon, sample estimators), simple tests are introduced, essential graphs for univariate and multivariate data are presented, the general principle of a statistical test, hypothesis design, the notion of p-value, first and second species risk are presented. In practical exercises, students are also brought up to speed in the R environment.