Dr. rer. nat. Felix Dietrich
Address:
Technische Universität München
Institut für Informatik
Boltzmannstrasse 3
85748 Garching b. München
Germany
Tel: +49-89-289-18638
Fax: +49-89-289-18607
Office: MI 02.05.041
Email: felix.dietrich (at) tum.de
Office Hours: by arrangement (email)
Student projects
Use the project application page to apply. It will send me an email with all the required information already filled.
There are several topics for Master's theses (they can be scaled down for Bachelor's theses as well):
- Take a look at the slides and the video of the last lecture in MLCMS SS2021.
- Take a look at slides 11-19 of the last lecture in MLCMS WS2019/2020 .
- Take a look at slides 7-15 of the last lecture in MLCMS SS2020 .
- Special project: Light Microscopy Image Simulation and Analysis with Blender.
- If you have something else in mind, let me know by using the project application page.
Currently Teaching
Winter term 2021/22
| Title | Course no. | Type | Lecturer (assistant) |
|---|---|---|---|
| Computational Aspects of Machine Learning (IN2107, IN0014, IN2183) | 0000000672 | SE |
|
| Master-Praktikum - Machine Learning in Crowd Modeling & Simulation (IN2106, IN4267) | 0000001145 | PR |
|
Summer term 2022
| Title | Course no. | Type | Lecturer (assistant) |
|---|---|---|---|
| Master-Praktikum - Machine Learning in Crowd Modeling & Simulation (IN2106, IN4267) | 0000004094 | PR |
|
| Seminar High Dimensional Methods in Scientific Computing (IN2107,IN0014,IN2183) | 0000004347 | SE |
|
Previous Teaching @TUM
Summer 2021
- Bachelor & Master Seminar: High Dimensional Methods in Scientific Computing
- Machine Learning in Crowd Modeling and Simulation
Winter 2020/21
- Hauptseminar Computational Aspects of Machine Learning
- Machine Learning in Crowd Modeling and Simulation
Summer 2020
- Algorithms for Scientific Computing
- Bachelor & Master Seminar: High Dimensional Methods in Scientific Computing
- Machine Learning in Crowd Modeling and Simulation
Winter 2019/20
Winter 2015/16
Summer 2015