Difference between revisions of "Dr. rer. nat. Felix Dietrich"
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* [https://fd-research.com/ My website with publications, research interests, and more!] | * [https://fd-research.com/ My website with publications, research interests, and more!] | ||
− | == | + | == Teaching @ TUM == |
− | * [https://www.moodle.tum.de/course/view.php?idnumber=950429903 Machine Learning in Crowd Modeling and Simulation | + | ''' Winter 2020/21 ''' |
+ | * [https://www.moodle.tum.de/course/view.php?id=58061 Machine Learning in Crowd Modeling and Simulation] | ||
+ | |||
+ | ''' Summer 2020 ''' | ||
+ | * [https://www.moodle.tum.de/course/view.php?id=53104 Algorithms for Scientific Computing] | ||
+ | * [https://www.moodle.tum.de/course/view.php?id=53243 Bachelor & Master Seminar: High Dimensional Methods in Scientific Computing] | ||
+ | * [https://www.moodle.tum.de/course/view.php?id=53131 Machine Learning in Crowd Modeling and Simulation] | ||
+ | |||
+ | ''' Winter 2019/20 ''' | ||
+ | * [https://www.moodle.tum.de/course/view.php?idnumber=950429903 Machine Learning in Crowd Modeling and Simulation] | ||
== Student Projects == | == Student Projects == | ||
− | '' | + | <strong>Use the [https://www5.in.tum.de/lehre/thesis-application/ project application page] to apply. It will send me an email with all the required information already filled.</strong> |
+ | |||
+ | Take a look at slides 11-19 [https://www.moodle.tum.de/mod/resource/view.php?id=1037860 of the last lecture in MLCMS WS2019/2020] on Moodle. | ||
+ | |||
+ | Take a look at slides 7-15 [https://www.moodle.tum.de/pluginfile.php/2331890/mod_folder/content/0/lecture_content.pdf?forcedownload=1 of the last lecture in MLCMS SS2020] on Moodle. | ||
+ | |||
+ | There are a few topics for Master's theses (they can be scaled down for Bachelor's theses as well). | ||
+ | |||
+ | Let me know if you have something else in mind by using the [https://www5.in.tum.de/lehre/thesis-application/ project application page], or take a look at "open projects" on [https://fd-research.com/open-projects/ my research website]. |
Latest revision as of 12:24, 31 July 2020
- Address:
- TU München
- Institut für Informatik
- Boltzmannstr. 3
- 85748 Garching b. München
- Office:
- MI 02.05.041
- Email:
- felix dot dietrich at tum dot de
- Phone:
- (089) 289 18 638
- Fax:
- (089) 289 18 607
- Office hours:
- by arrangement (email)
Information
Teaching @ TUM
Winter 2020/21
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
Student Projects
Use the project application page to apply. It will send me an email with all the required information already filled.
Take a look at slides 11-19 of the last lecture in MLCMS WS2019/2020 on Moodle.
Take a look at slides 7-15 of the last lecture in MLCMS SS2020 on Moodle.
There are a few topics for Master's theses (they can be scaled down for Bachelor's theses as well).
Let me know if you have something else in mind by using the project application page, or take a look at "open projects" on my research website.