Teaching
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
