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Institutes

Institute for Applied and Numerical Mathematics

Research Group 3: Scientific Computing

Dr. Benny Stein

Dr. Benny Stein

Dr. Benny Stein

$Office hour for students$
$Building$ Kollegiengebäude Mathematik (20.30)
$Room$
benny.stein@kit.edu

Note: From April 2023 on I am no longer an employee of KIT. This website will not be be updated anymore.

Teaching

Information for students:
Former courses in which I was involved can be found below under the heading "Current List of Courses". (The webpages of some of the older lectures do not exist anymore.)

Current List of Courses
Semester	Titel	Typ
Winter Semester 2022/23	Finite Element Methods	Lecture
Summer Semester 2022	Splitting methods for evolution equations	Lecture
	Einführung in das Wissenschaftliche Rechnen	Lecture
Winter Semester 2021/22	Numerische Methoden für Differentialgleichungen	Lecture
Summer Semester 2021	Numerische Mathematik 2	Lecture
Winter Semester 2020/21	Numerical Methods in Mathematical Finance	Lecture
	Numerische Mathematik 1	Lecture
Summer Semester 2020	Geometric Numerical Integration	Lecture
	Splitting methods for evolution equations	Lecture
	Proseminar (Fourier- und Wavelettransformation)	Proseminar
Winter Semester 2019/20	Numerik für Studierende des Lehramts	Lecture
Summer Semester 2019	Mathematik II für Informationswirtschaft	Lecture
	Fourier and Wavelet transforms	Proseminar
Winter Semester 2018/19	Numerical methods in mathematical finance	Lecture
	Mathematik I für die Fachrichtung Informationswirtschaft	Lecture
Summer Semester 2018	Fourier and Wavelet transforms	Proseminar
Winter Semester 2017/18	Numerische Methoden für Differentialgleichungen	Lecture

Research

Topics of interest:

Partial differential equations (PDEs) with uncertain parameters and their numerical simulation
Splitting methods for non-linear PDEs
Numerical interpolation and approximation with sparse grids and their usage for high-dimensional problems
Parallel implementations of numerical methods in Python
Machine learning and optimisation methods for high-dimensional problems