@ ETH Zurich
Probabilistic Artificial Intelligence - Prof. Andreas Krause
Data Mining I and II - Prof. Karsten M Borgwardt
Probability Theory and Stochastic Processes with Applications to Biology - Dr. Ankit Gupta
Computational Biology - Prof. Tanja Stadler
Introduction to Social Networks: Theory, Methods and Applications - Prof. Christoph Stadtfeld
Introduction to Machine Learning - Prof. Andreas Krause
Machine Learning for Genomics - Prof. Valentina Boeva
@ TU Munich
Protein Prediction I and II - Prof. Burkhard Rost
Introduction to Deep Learning - Prof. Matthias Nießner, Prof. Laura Leal-Taixé
Data Analysis and Visualization - Prof. Julien Gagneur
Advanced Bioinformatics - Dr. Markus List
Discrete Probability Theory - Prof. Susanne Albers
Introduction into Computer Science - Prof. Alexander Pretschner, Prof. Burkhard Rost
Discrete Structures - Prof. Javier Esparza
Introduction to Theory of Computation - Prof. Tobias Nipkow
@ LMU
Algorithmic Bioinformatics I and II - Prof. Caroline Friedel
Advanced Biochemistry - Prof. Klaus Förstemann
Lab course Genome-Oriented Bioinformatics - Prof. Ralf Zimmer
@ University of Zurich
Statistical Analysis of High-Throughput Genomic and Transcriptomic Data - Prof. Mark Robinson, Dr. Hubert Rehrauer
Biomedical Imaging and Scientific Visualization - Prof. Christoph Zollikofer
@ University of Basel
Molecular Medicine I and II - Cycle of lectures