Nowadays increasing numbers of complete genomic sequences are available and methods have been developed to study system wide gene expression, protein abundances and interactions and metabolite formation. Systems biology integrates the results of the different omics techniques in order to understand how they work together by using dedicated analysis and visualisation techniques (e.g. machine learning, networks). These methods allow the extraction of relevant information for elucidating the function of genes, transcripts, proteins and metabolites, to signify interactions between these molecules, and to study the underlying regulatory mechanisms. The course is modular and focuses on data generation, mining, analysis, and data integration and visualisation.