Modellierungsseminar
PD Dr. BergmannWS2019/2020
- Modul
-
S04 (TMM),
S04 (DS),
F01 (MINT, inhaltlich mit TMM identisches Modul)
- Zielgruppe
-
- Master-Studiengang Data Science
- Masterstudiengang Mathematik, Studienrichtung Technomathematik
- Master-Studiengang Human Movement Science, 2. Semester
- Master-Studiengang Mathematik, Studienrichtung Mathematik nit vertiefter Informatik
- Masterstudiengang Mathematik, Studienrichtung Mathematik
- Inhalt und Ziele
-
- Mathematische Modellbildung anhand eines praktischen natur- oder ingenieurwissenschaftlichen Problems
- Untersuchung mathematischer Eigenschaften des Modells
- Numerische Behandlung des Modells
- Darstellung der Ergebnisse in zwei Vorträgen (45 min) und einer Abschlussarbeit
Talks
The talks might also be given in german depending on the corresponding module description. The first appointment, mainly for scheduling but maybe also for a first talk is October 17, 2019. Our weekly appointment is this semester:Das Vorlesungsverzeichnis wird momentan überarbeitet. (Freischaltung 09.03.2021 00:00 Uhr)
Winter Term 2019/2020
| Date | Title | |
|---|---|---|
| 2020-01-09 | J. Bierschneider | Improving classification with reliability classifier |
| A. Danilova | Detection of body parts based on disparity images using deep learning | |
| 2019-12-12 | M. Engel | Categorization of Bank Transactions |
| 2019-11-14 | M. Kloppe | Crystallization of semi-crystalline polymers |
| G. Winkler S. Song |
Toolbox Ludwig and its Performance for different Machine Learning Szenarios | |
| 2019-11-07 | V. Sadiri Javadi | Recommender Systems with Recurrent Neural Networks |
Summer Term 2019
| Date | Title | |
|---|---|---|
| 2019-06-19 11:30 |
K. Bergermann | Modeling morphology evolution during solvent-based fabrication of organic solar cells |
| 2019-06-12 | T. Staude | Bestimmung der Bodenreaktionskraft mittels Druckmesssohlen |
| 2019-05-08 | C. Degenhardt | Simulation von Mondflügen als Dreikörperproblem |
Material
The following supplementary files are only accessible for students and employees of the math department.-
FusionSystems
- Routing Algorithms
- Automated Segmentation
- Digitalization of 3D objects
- Intenta: Map Learning Light
- IAV
- Prediction of Classifier Reliability
- Toolbox Ludwig: Deep Learning without Coding?
- Big Data Applications for V2X-Data
- axilaris: Kategorisierung im Online-Banking
- prudsys
- Price as Deciding Attribute
- Margin as Optimization Goal or Constraint
- Attribute Ranking for Reasoning
- Cannibalization- and Halo-Effects
Vorbesprechungstermine
- Wednesday, April 17rd, 2019, 3:30 pm in 2/B202
- Meeting for newly starting students, especially students of Data Science, presentation of topics from the companies II: axilaris, prudsys.
- Wednesday, April 3rd, 2019, 3:30 pm in 2/B202
- Meeting for newly starting students, especially students of Data Science, presentation of topics from the companies I: IAV, FusionSystems, Intenta.
- Wednesday, April 3rd, 2019, 3:30 pm in 2/B202
- Meeting of the participants that started in Winter Term 2018/19