Old lecture notes
Unofficial lecture notes & flashcards
Below are some lecture notes I wrote for courses I attended at TU Berlin, in descending order of quality. I am satisfied with the top eight; read the rest at your own risk. If you find any errors, or are perhaps an instructor discontented with the material shared here, please contact me at lastname at math.tu-berlin.de.
To help me study for the exams, I have created LaTeX flashcards:
Approximation Theory,
Functional Analysis II,
Topology I.
These notes and flashcards may be incomplete and may contain errors. If you want the corresponding .tex files, feel free to contact me.
Beware that they might be incomplete and will probably contain errors. You can contact me at the above email address if you want the corresponding .tex files.
Lecture notes
- Discrete and Computational Topology, Dr. Frank Lutz, summer semester 2022.
- Statistik, Prof. Michael Scheutzow, summer semester 2022.
- Differential equations III: Initial-boundary value problems, Dr. Robert Lasarzik, summer semester 2021. Flashcards
- Differential equations IIA: Weak solutions for stationary PDEs, Dr. Hans-Christian Kreusler, summer semester 2019 and 2020. Flashcards
- Differentialgleichungen IIB: Stationäre nichtlineare partielle Differentialgleichungen und die Theorie monotoner Operatoren, Dr. Hans-Christian Kreusler, winter semester 2019/2020. Flashcards
- Lineare Algebra II, Prof. Boris Springborn, summer 2018.
- Complex Analysis, Prof. Boris Springborn, summer semester 2021. Flashcards
- Differentialgleichungen I: Gewöhnliche Anfangswertprobleme und Randwertprobleme zweiter Ordnung, Dr. Hans-Christian Kreusler, winter semester 2018/19 and 2020/21.
- Nonlinear optimization, Prof. Dietmar Hömberg, summer semester 2020. Flashcards
- Wahrscheinlichkeitstheorie, Prof. Wilhelm Stannat, summer semester 2019.
- Machine Learning II, Dr. Grégoire Montavon, summer semester 2020.
- Complex Analysis, Prof. Yuri Suris, summer semester 2020.
- Computerorientierte Mathematik, Prof. Michael Joswig, summer semester 2020. Flashcards
- Machine Learning I, Prof. Klaus-Robert Müller, winter semester 2019/2020.
- Mathematics of Deep Learning, Prof. Gitta Kutyniok, winter semester 2019/2020.