Study Program

The study program is strongly connected to the research program, it will be aimed at educating a new way of thinking at the interface of wet and dry experiments, and it will capitalize on integrative understanding of biology.

• Lectures: List of Tentative Courses
• Munich: Algorithmic Graph Theory, Algorithmic Systems Biology, Analysis of Biological Networks, Comparative Proteomics, Data Mining, Design and Analysis of Algorithms, Gene Regulation and Regulatory Networks, Genetics, Genome Analysis and Annotation, Mass Spectrometry, Mathematical Modeling of Biological Networks, Metabolomic Networks, Methods of Genome Analysis, Modern High-Throughput Methods, Molecular Evolution and Genetics, Petri Nets, Phosphoproteomics, Sequence Analysis, Statistical Methods and Machine Learning, Transcriptomics and Proteomics.
• Moscow: Comparative Genomics, Regulation in Eukaryotes, RNA Secondary Structure Prediction, Probabilistic Methods in Sequence Analysis, Evolution of Regulatory Systems in Bacteria, Evolution of Protein Families, Algorithms in Bioinformatics, Rational Design of Enzymes.
• Lab Courses: DNA Microarrays, Genome Analysis, Mass Spectrometry.
• Seminars: Reading Groups, Tutorials, Research Seminars, Research Colloquia.
• Retreats: Summer Schools, Winter Schools.
• Soft Skills Training: These courses cover numerous topis from various areas, like communication and presentation, ethics and resposibility, personal and career development, cultural comptenece. These courses will be provided through the TUM Graduate School  (TUM GS) and through the LMU GraduateCenter.

  List of tentative courses offered from the Carl von Linde Academy and from  WIMES (through TUM GS) as well as from the LMU GraduateCenter.