Teaching

 

Courses

Winter term 2021/2022

  • Fabian Theis, Matthias Heinig, Eleftheria Zeggini, Annalisa Marsico, Gabi Kastenmüller, Benjamin Schubert: Practical course 'Genome-oriented bioinformatics', TUM
  • Maria Colome Tatche & Carsten Marr: Lecture + practical course 'Computational Methods for single cell biology',  TUM
  • Tingying Peng & Carsten Marr: Literature seminar / Reading Course 'Computational Pathology: Algortihms and applications', TUM
  • Shadi Albarqouni & Daniel Rueckert: Lecture + Exercise 'Artificial Intelligence in Medicine' , TUM
  • Julien Gagneur: Lecture 'Data analysis and visualization in R', TUM
  • Julien Gagneur, Matthias Heinig, Gabi Kastenmueller, Michael Menden, Paolo Casale, Ele Zeggini: Lecture 'Statistical Methods for System Genetics', TUM
  • Michael Menden: Lecture + Tutorial 'Introduction to Programming', LMU
  • Michael Menden: Lecture + tutorial 'Computational Biology', LMU
  • Christiane Fuchs: Lecture + practical 'Bayesian Statistics I', University of Bielefeld
  • Christiane Fuchs: Lecture + practical 'Foundations of Statistics', University of Bielefeld

 Summer term 2021

Winter term 2020/2021

    •  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

    Summer term 2019

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

    Winter term 2018/2019

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

    Summer term 2018

    Winter term 2017/18

    Summer term 2017

    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

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