ECTS
2 credits
Training Structure
College of Sciences
List of Courses
Choose 1 or 2 out of 2
Advanced Data Processing
2 creditsDescription and Inference
2 credits
Advanced Data Processing
ECTS
2 credits
Training Structure
College of Sciences
Generalized Linear Mixed Models + Methodology and Experimental Protocols to Account for Biological Reality: Non-Normal Distributions and Pseudo-Replication
Protocol Optimization, Power, and Uncontrolled Type I 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, and overdispersion
Graphical representation of the predictions.
Description and Inference
ECTS
2 credits
Training Structure
College of Sciences
The objective of this course unit is to provide the necessary foundation in statistics to follow the more advanced modules in the curriculum; it is therefore a general refresher course. Descriptive statistics are reviewed (quantiles, cumulative frequency polygons, sample-based estimators); simple tests are introduced; essential graphs for univariate and multivariate data are presented; and the general principles of statistical testing, hypothesis testing, the concept of the p-value, and Type I and Type II errors are covered. In lab sessions, students also receive training in the R environment.