Teaching
Current and past lectures and seminars
Winter term 2024/25
Summer term 2024
- Einführung in das wissenschaftliche Arbeiten in der Mathematik (Kruse)
- Numerik gewöhnlicher Differentialgleichungen (Hantke)
- Wahrscheinlichkeitstheorie und Statistik (Kruse)
- Fachseminar: Numerische Lineare Algebra (Kruse, Podhaisky)
-
Oberseminar Numerik und Wahrscheinlichkeitstheorie (Arnold, Kruse,
Redmann)
Winter term 2023/24
Summer term 2023
Winter term 2022/23
Summer term 2022
Winter term 2021/22
- Grundlagen der Numerischen Mathematik (für LAG/LAS) (Kruse)
- Monte Carlo Methoden und Zufallszahlengeneratoren (Kruse)
-
Oberseminar Numerische Mathematik (Arnold, Kruse)
Summer term 2021
Winter term 2020/21
Summer term 2020
Winter term 2019/20
- Grundlagen der Numerischen Mathematik (für LAG/LAS) (Kruse)
- Monte Carlo Methoden und Zufallszahlengeneratoren (Kruse)
-
Oberseminar Numerik (Arnold, Kruse)
See
archive for past lectures and seminars at
TU Berlin.
Supervision of Bachelor and Master theses
Please contact us by e-mail or visit the office hour if you are interested in
writing your Bachelor thesis, your Master thesis or the “wissenschaftliche
Hausarbeit” (Lehramtsstudiengang) in our working group.
In general, it is required that you have successfully participated
in at least one of our (more advanced) lectures which will serve as a starting
point for a thesis.
Note that identifying an interesting topic often takes some time.
It is therefore advisable that you contact potential supervisors of your thesis
with some buffer time, in particular, as you might need to familiarize yourself
with additional prerequisites before starting to work on the actual topic of
the thesis.
Supervised Master theses
- Lars Lange (M.Sc. Mathematik, 2020) on
“Analyse und Anwendung von Stochastischen Gradientenverfahren für
Maschinelles Lernen”
- Johanna Weinberger (M.Sc. Mathematik, 2020) on
“Numerical Methods for Stochastic Partial Differential Equations with
Monotone Drift and Applications”
(jointly supervised with
Reinhold Schneider, TU Berlin)
Supervised Bachelor theses
- Albert Arzumanian (B.Sc. Wirtschaftsmathematik, ongoing) on
“Effiziente Algorithmen für die Zufallszahlengenerierung: Die PCG-Familie”
- Pascal Hüser (B.Sc. Wirtschaftsmathematik, 2022) on
“Fehleranalyse von randomisierten Runge–Kutta-Verfahren für gewöhnliche
Differentialgleichungen”
- Johann Christian Gebhardt (B.Sc. Mathematik, 2022) on
“Einführung in Quantencomputer”
- Alexander Zinser (B.Sc. Mathematik, 2022) on “Monte Carlo Methods for
Linear Partial Differential Equations based on the Feynman-Kac formula”
(
pdf)
- Tom Weber (B.Sc. Mathematik, 2021) on
“Simulation und Analyse von Turing-Mustern im Gray-Scott Modell”
See
archive for supervised theses at TU Berlin.