ECTS
2 credits
Training structure
Faculty of Science
List of courses
Choose 1 out of 3
Advanced data processing
2 creditsDescription and inference
2 creditsGIS
2 credits
Advanced data processing
ECTS
2 credits
Training structure
Faculty of Science
Generalized linear mixed models + methodology and experimental protocols to account for biological reality: non-normal distribution and pseudo-replication
Protocol optimization, power, and uncontrolled type I risk: variable transformation, polynomial regression, link function, likelihood, model selection
Deviance and goodness-of-fit analysis
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
Training structure
Faculty of Science
The objective of this course unit is to provide the necessary statistical foundations for following the more advanced modules in the curriculum; it is therefore a general refresher course. Descriptive statistics are reviewed (quantiles, cumulative frequency polygons, sample estimators), simple tests are presented, essential graphs for univariate and multivariate data are presented, and the general principle of a statistical test, hypothesis testing, the concept of p-value, and Type I and Type II errors are presented. In practical work, students are also brought up to speed in the R environment.