Introduction to linear models (general/mixed). Methodology for setting up and statistically analysing data coming from factorial experiments (with crossed and/or nested factor structure). Statistical analysis of data coming from split plot designs and designs with repeated measures. Statistical analysis of data coming from designs combined over locations and/or years. Multiple linear and nonlinear regression. Introduction to Multivariate-Multidimensional Data Analysis. Principal Components Analysis, Hierarchical Cluster Analysis, Biplot-analysis, Discriminant Analysis. Statistical Analyses for categorical data. Contingency tests. Introduction to Correspondence Analysis. Examples and applications. Demonstration of statistical softwares Analysis of biological data with statistical software.