Selected Topics in Data Science
Seminar participants will cover current research trends and established approaches in the field of Data Science. Participants can choose to complete the theoretical or the practical research project part of this seminar.
Projects from past semesters
| Semester | Title | Type |
| SuSe 22 | QR-Code Reconstruction from Low-Resolution Video Frames | Applied |
| SuSe 22 | Dataset Enrichment using Simulations | Applied |
| SuSe 22 | Water Level Prediction of the Wupper using PyTorch Forecasting | Applied |
| SuSe 22 | Implicit vs. Explicit Information for Neural Networks | Applied |
| SuSe 22 | Detecting valid robot poses with neural networks | Applied |
| SuSe 22 | How to measure similarity of robot poses | Applied |
| SuSe 22 | Setup of a Machine Learning Semantic Labeling Algorithm | Applied |
| SuSe 22 | Strengths and Weaknesses of Dispatching Rules in Production Scheduling | Applied |
| SuSe 22 | An experimental comparative study of time series databases | Applied |
| SuSe 22 | Literature Review for Flood Prediction Using Deep Learning | Theory |
| SuSe 22 | State of the art in optical character recognition (OCR) | Theory |
| SuSe 22 | How to detect fake news in social media | Theory |
| SuSe 22 | In data we trust? The gap between reality and algorithmic predictions | Theory |
| SuSe 20 | Robustes Reinforcement Learning durch Domain Randomization | Applied |
| SuSe 20 | Was wäre wenn? - Hindsight experience replay for Reinforcement Learning | Applied |
| SuSe 20 | Intrisische Motivation zur effizienten Exploration in Reinforcement Learning | Applied |
