Past Courses
SS 2020
- Grundlagen der Mathematik II
- Monte Carlo Algorithmen
WS 2019/20
- Grundlagen der Mathematik I
SS 2019
- High-Dimensional Integration
- Monte Carlo Algorithmen
WS 2018/19
- Stochastic Differential Equations
- Stochastische Methoden
SS 2018
- High-Dimensional Integration
- Monte Carlo Algorithmen (Hefter)
- Measure and Integration
- Quasi-Monte Carlo Methoden (Proseminar)
WS 2017/18
- Stochastic Differential Equations
- Stochastic Processes (Seminar) (Hefter)
- Probability Theory
SS 2017
- Monte Carlo Algorithmen
- Statistik II für Wirtschaftswissenschaftler
- Maß- und Integrationstheorie (Lindner)
- Introduction to SPDEs (Lindner)
WS 2016/17
- Numerics of Stochastic Processes (Hefter)
- Einführung in die Funktionalanalysis (Lindner)
- Stochastic Differential Equations (Lindner)
- Die Brownsche Bewegung mit Reflektion (Fachpraktikum)
SS 2016
- Statistik II für Wirtschaftswissenschaften (Lindner)
- Brownsche Bewegung (Seminar)
- Monte Carlo Algorithmen
- Der Mersenne Twister (Fachpraktikum)
- Measure and Integration
- Endliche Markov-Ketten (Proseminar) (Lindner)
WS 2015/2016
- Stochastic Differential Equations
- Probability Theory
- Mixed Precision Multilevel Monte Carlo (Fachpraktikum)
- Stochastische Methoden (Lindner)
- Einführung in die Funktionalanalysis
- Quasi-Monte Carlo Methods (Proseminar)
SS 2015
- Monte Carlo Algorithms (Lindner)
- Markov-Prozesse (Seminar)
- Elektronendynamik in der Ultrakurzzeitphysik (Fachpraktikum)
- Grundlagen der Mathematik II
WS 2014/2015
- Probability Theory (Lindner)
- Abverkaufssimulation im Lebensmitteleinzelhandel (Fachpraktikum) (Omland)
- Grundlagen der Mathematik I
SS 2014
- Malliavin Calculus and Applications (Lindner)
- Computational Stochastics (Seminar)
- Monte Carlo Algorithmen
- Measure and Integration
- Quasi-Monte Carlo Methods (Proseminar)
WS 2013/2014
- Introduction to SPDEs (Lindner)
- Numerics of Stochastic Processes
- Stochastic Differential Equations (Gnewuch)
- Grundlagen der Mathematik II
SS 2013
- Monte Carlo Algorithmen (Gnewuch)
- Grundlagen der Mathematik I
WS 2012/2013
- Stochastic Differential Equations
- Gaussian Processes (Seminar)
- Elementare Approximationstheorie (Proseminar)
WS 2011/2012
- Probability Theory
- Numerics of Stochastic Processes
- Computational Finance (Neuenkirch)
SS 2011
- Measure and Integration
- Monte Carlo Algorithms (Neuenkirch)
- Stochastic Partial Differential Equations
- Stochastic Partial Differential Equations (Seminar)
WS 2010/2011
- Endliche Markovketten (Proseminar)
- Stochastic Differntial Equations
- Malliavin Calculus and Applications (Neuenkirch)
SS 2010
- Monte Carlo Algorithms
- High-dimensional Integration