Teaching (WS 2022/23)
  • Einführung in die Numerik (Numerik 0)
    Moodle  |  LSF
  • Numerical Methods for Bayesian Inverse Problems
    Moodle  |  LSF
  • Object Oriented Programming for Scientific Computing
    Moodle  |  LSF
  • Seminar: High Dimensional Approximation and UQ
    Moodle  |  LSF
SoSe 2022
  • High Dimensional Approximation and Applications in Uncertainty Quantification
    Moodle  |  LSF
  • Seminar Mulitscale Methods
    LSF  |  Course page
WS 2021/22
  • Einführung in die Numerik (Numerik 0) - taught by Ole Klein
    LSF
  • Seminar: Numerical Methods for ODEs - Symplektische Integratoren
    LSF
SoSe 2021
  • Numerical Analysis of ODEs (Numerik 1)
    The lecture will be held in an online format, see MUESLI for details.
    Moodle  |  LSF
  • Proseminar / Seminar Eigenvalue Problems
    LSF  |  Course page
  • Proseminar / Seminar Krylov Methods
    LSF  |  Course page
  • Online Short Course “Multilevel Monte Carlo Methods for UQ”, Penn State University, 21-23 April 2021
    Course page
WS 2020/21
  • Einführung in die Numerik (Numerik 0)
    Moodle  |  LSF
  • Numerical Methods for Bayesian Inverse Problems
    Moodle  |  LSF
  • Numerical Methods for Maxwell’s Equations
    Moodle  |  LSF
SoSe 2020
  • High-Dimensional Approximation and Applications in Uncertainty Quantification
    LSF  |  Course page
  • Seminar Mulitscale Methods
    LSF  |  Course page
WS 2019/20
  • Finite Elements (Numerik 2)
    Moodle  |  LSF
  • Multiscale Methods & Homogenisation Theory
    Moodle  |  LSF
  • (Pro-)Seminar: Numerical Methods for ODEs: Geometric Numerical Integration
    Course page
  • IWR School 2019 ML4Nature “A Crash Course in Machine Learning with Applications in Natural and Life Sciences”, Heidelberg University, 23-27 September 2019
    Course page
SoSe 2019
  • Numerical Analysis of ODE (Numerik 1)
    Moodle
  • (Pro)Seminar: Symmetric Eigenvalue Problems
    Course page
WS 2018/19
  • Einführung in die Numerik (Numerik 0)
    Moodle
Earlier
  • Compact Graduate Course given at University of Heidelberg 11-17 June 2015
    Course page
Einführung in die Numerik (Numerik 0)
Numerical Analysis of Ordinary Differential Equations (Numerik 1)
Finite Elements (Numerik 2)
High-Dimensional Approximation & Applications in Uncertainty Quantification (with Alec Gilbert)
Numerical Methods for Bayesian Inverse Problems (with Jakob Zech)
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