Summer term 2021

• Carsten Marr, Fabian Theis, Niki Kilbertus, Tinging Peng: Statistical Learning
• Shadi Albarqouni:  Seminar - Federated learning in Healthcare
• Julien Gagneur, Matthias Heinig, Annalisa Marsico, Maria Colome Tatche: Machine learning for regulatory genomics
• Christiane Fuchs: Bayesian Statistics II
• Christian L. Müller: Statistics for Genomics (Genomik und Proteomik)
• Michael Menden: Machine learning in pharmacogenomics

Winter term 2020/2021

• Carsten Marr, Tingying Peng: Computational Pathology: Algorithms and Applications, Reading Course

•  Fabian Theis, Maria Colome-Tatche, Antonio Scialdone, Carsten Marr: Computational methods for single-cell biology, Lectures and project work                                                                                                                                                    
• Julien Gagneur: Data analysis, Lecture                                                                                                                                 
• Fabian Theis, Benjamin Schubert, Tingying Peng: Deep Learning

Summer term 2020

•  Fabian Theis Statistical Learning [MA4802]                                                                                                                     
• Matthias Heinig, Julien Gagneur: Systems Genetics                                                                                                                
• Michael Menden: Machine Learning in Pharmacogenomics

Winter term 2019/2020

• Fabian Theis, Carsten Marr, Tingying Peng: Topics in Computational Biology,  [MA5607], Lecture & Exercise

• Carsten Marr, Tingying Peng: Computational Pathology: Algorithms and Applications, Reading Course 

Summer term 2019

• Fabian Theis, Carsten Marr, Matthias Heinig, Benjamin Schubert: Bioinformatic Master Praktikum, Blockpraktikum

• Benjamin Schubert, Hananeh Aliee, Paul Stapor, Yannik Schälte: Statistical inference for dynamical systems (MA5612), Lecture

• Fabian Theis, Tingying Peng: Statistical Learning [MA4802]

• Matthias Heinig, Michael Menden, Julien Gagneur: Systems Genetics

Winter term 2018/2019

• Fabian Theis, Carsten Marr, Tingying Peng: Topics in Computational Biology,  Lecture & Exercise

• Carsten Marr, Tingying Peng: Computational Pathology: Algorithms and Applications, Reading Course 

Summer term 2018

• Matthias Heinig, Jan Krumsiek, Julien Gagneur: Systems Genetics, Lecture

Winter term 2017/18

• Turid Frahnow, Fabian Theis: Topics in Computational Biology, lecture at TU München link

Summer term 2017

• Carsten Marr, Christiane Fuchs, Jan Hasenauer: Computational cancer models, Reading course/ Literature seminar 
• Fabian Theis: Statistical Learning (MA4802), Lecture
• Fabian Theis, Tingying Peng: Statistical Learning, Exercises (MA4802) 
• Jan Hasenauer: Statistical inference for dynamical systems (MA5612), Lecture
• Fabian Theis, Jan Hasenauer: Mathematische Modellierung in Biologie und Medizin, Workshop
• Jan Krumsiek, Matthias Heinig: Systems Genetics, Lecture
• Jan Hasenauer, Christina Kuttner, Johannes Müller: Case Studies Life Science Mathematics (MA5616), Lecture

Winter term 2016/17

• Fabian Theis, F. Alexander Wolf: Deep Learning, Seminar at TU München link
• Tingying Peng, Fabian Theis: Topics in Computational Biology, Vorlesung  at TU München
• Anna Fiedler, Jan Hasenauer: Statistical Inference for Stochastic Biochemical Processes, Vorlesung at TU München 
• Frank Filbir: Functional Analysis, Vorlesung at TU München
• Christiane Fuchs: Generalised Regression Models (Lecture) at LMU München
• Christiane Fuchs: Applied Methods for the Analysis of Clinical Studies (Practical Course) at LMU München
• Christiane Fuchs: Statistical Internship at LMU München

Summer term 2016

• Fabian Theis, Jan Hasenauer: Mathematische Modellierung in der Biologie, Workshop at TU München
• Fabian Theis: Deep learning, Seminar at TU München
• Jan Hasenauer: Medical applications of mathematical models, Seminar at TU München
• Jan Hasenauer, Anna Fiedler: Statistical Inference for Dynamical Systems, Vorlesung  at TU München
• Jan Hasenauer, Anna Fiedler: Statistical Inference for Dynamical Systems, Übung at TU München
• Carsten Marr, Matthias Heinig: Computational Epigenetics – landscapes and mechanisms, Hauptseminar / Reading and Discussion Course  at TU München
• Frank Filbir: Mathematics of Signal Analysis, Vorlesung at TU München
• Josef Obermaier: Mathematische Beweise unglaublicher Ideen Workshop at TU München
• Fabian Theis, Johannes Müller, Donna P. Ankerst: Lehrstuhlseminar at TU München

Winter term 2015/16

• Fabian Theis, , F. Alexander Wolf: Statistical Learning, Vorlesung at TU München
• Fabian Theis: Topics in Computational Biology, Vorlesung at TU München
• Wolfgang zu Castell: Numerical Ecology, Vorlesung at TU München
• Anna Fiedler, Jan Hasenauer: Parameter Estimation for Dynamic Biological Systems II, Vorlesung at TU München
• Jan Hasenauer, Anna Fiedler: Exercises for Parameter Estimation for Dynamic Biological Systems II at TU München
• Frank Filbir:Topics in Mathematical Data Analysis, Vorlesung at TU München
• Frank Filbir: Exercises for Topics in Mathematical Data Analysis at TU München
• Frank Filbir: Diffusion Maps, Haupteminar at TU München
• Peter Massopust: Funktionentheorie 2, Vorlesung  at TU München
• Peter Massopust: Übungen zur Funktionentheorie 2 at TU München
• Fabian Theis, Johannes Müller: Lehrstuhlseminar M12 at TU München

Summer term 2015

• Fabian Theis, Jan Hasenauer: Parameter Estimation for Dynamic Biological Systems, Vorlesung at TU München
• Fabian Theis, Jan Hasenauer: Exercises for Parameter Estimation for Dynamic Biological Systems, Übung at TU München
• Fabian Theis, Elena Gornostaeva, Jan Hasenauer: Workshop Mathematische Modellierung in der Biologie, Workshop at TU München
• Frank Filbir: Wavelets, Vorlesung, at TU München
• Frank Filbir: Wavelets, Übung,  at TU München
• Carsten Marr: Quantitative Stammzellbiologie, Haupteminar at TU München
• Peter Massopust: Differentialformen, Vorlesung  at TU München
• Josef Obermaier: Orthogonale Polynome, Proseminar at TU München
• Fabian Theis, Johannes Müller: Lehrstuhlseminar M12, Seminar  at TU München

Winter term 2014/15

• Fabian Theis, Sabine Hug: Topics in Computational Biology, Vorlesung, at TU München
• Frank Filbir: Approximationstheorie, Vorlesung, at TU München
• Frank Filbir, Kristof Schröder: Übungen zu Approximationstheorie, Übung at TU München
• Jan Hasenauer: Parameter Estimation for Dynamic Biological Systems II, Vorlesung at TU München
• Jan Hasenauer: Exercises for Parameter Estimation for Dynamic Biological Systems II, Übung at TU München
• Peter Massopust: Elemente der Distributionentheorie, Vorlesung at TU München 
• Wolfgang zu Castell, Einführung in die Theorie maschinellen Lernens, Vorlesung at TU München 
• Wolfgang zu Castell, Übungen zu Einführung in die Theorie maschinellen Lernens, Übung at TU München
• Fabian Theis, Johannes Müller: Lehrstuhlseminar M12, Seminar at TU München

Archive courses