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
SoSe 2025
Applied Projects
- Supply Chain Resilience using Reinforcement Learning
- Neuroscientific Ablations
- Applying XAI Methods: Which Explanation wins?
- Implementation of specific scheduling problems
- Adversarial Attacks for Image Recognition Manipulation
- XAI for camera-based object detection
Theoretical Proejcts
- Application of ML and DL in the World of Football
- Reinforcement Learning for Sustainable Production Optimization
- Literature Review on Supply Chain Resilience using Reinforcement Learning
- Bridging Data Across Diverse Sources with Schema Alignment
- Evaluating XAI Methods: Which Explanation wins?
- Research on scheduling problems
- Adversarial Attacks for object detection
- Model Compression for 3d Object Detection: Literature Survey
Winter Term 2024-2025
Applied Projects
- Data Analysis to Protect Against Climate-Driven Extremes
- Recreate 6DoF estimation setup in virtual domain
- Comparison of manual and automatic keypoint estimation
- Deep Neuroevolution - Optimization with Genetic Algorithms
- Adversarial Attacks for Image Recognition Manipulation
- Visualization Methods of Semantic Models
- Deep Learning Architectures for Efficient Scheduling
- Deep reinforcement learning for multi-objective scheduling
Theoretical Proejcts
- Applications of ML and DL in the World of Football
- Adversarial Attacks for Image Recognition Manipulation
- Model Compression for 3d Object Detection: Literature Survey
- Evaluating XAI Methods: Which Explanation wins?
- Semantic standards for the digital product passport
Summer Term 2024
Applied Projects
- "Why you so good? – Comparison of two State-of-the-Art Agents"
- Accelerated 3D-Model Texturing form 2D-Images
- Adversarial Attacks for Image Recognition Manipulation
- Develop a TensorFlow (Lite) Model for Edge Devices
- Evaluating TensorFlow Lite Models for Edge Devices
- Fitting Educational Images to Target Groups using Generative AI
- Improving Anomaly Detection with Synthetic Data
- Comparative work in XAI - What defines a good explanation
Theoretical Projects
- Evaluating the quality of LLM generated simplified text
- Literature Research in XAI – What defines a good explanation?
- Overview of E-Commerce Forecasting Tasks
- Prompt-engineering of LLMs for Text simplification
- SotA for Visual Sensors
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 |
