The work group Computational Biology is currently incolved in teaching both at the Faculty of Mathematics and Natural Sciences and at the Faculty of Medicine.

At the Faculty of Mathematics and Natural Science, we are participating in the course Computational Biology Ⅱ, which is a subject module of the Master's degree course Biological Sciences of the Department of Biology. The course teaches modern bioinformatic methods for genome, transcriptome and proteome data analysis, multi-variate and high-dimensional data analysis, advanced regression methods, and scientific programming. We are also organising the course Data Science and Machine Learning, which is a module of the Bachelor's degree course Quantitative Biology, a cooperation between the Heinrich Heine University Düsseldorf and the University of Cologne, with the support of  the Cluster of Excellence on Plant Sciences CEPLAS. The course teaches high-dimensional, biological data analysis methods and machine learning, as well as the handling of omics data.

At the Faculty of Medicine, we offer the Statistics Workshop with R, which is part of the Interdisciplinary Program Health Sciences IPHS for doctoral candidates aiming for a PhD or MD/PhD in Health Sciences, respectively. The course teaches the basics of data analysis using R, with a focus on the application of statistics to high-dimensional, biological data, such as supervised and unsupervised learning. We also organise the course QB1: Epidemiology, Medical Statistics and Medical Informatics, which is part of the study course Human Medicine and covers topics such as aetiology and risk, diagnosis and prognosis, intervention, medical informatics, and genetic epidemiology. The course is compliant with the subject catalogue published by the IMPP.

For a complete list of all courses offered by the Institute of Medical Statistics and Computational Biology, as well as contact options for questions regarding our curriculum, please see imsb.uni-koeln.de/lehre