Teaching
Courses
Winter Term 2019/2020
Bayes Networks (tutorial class)
Summer Term 2019
Fuzzy Systems (tutorial class)
Computational Intelligence in Games (tutorial class)
Winter Term 2018/2019
Bayes Networks (tutorial class)
Summer Term 2018
Computational Intelligence in Games (lecture)
Neural Networks (tutorial class)
Winter Term 2017/2018
Bayes Networks (tutorial class)
Classification Algorithms (seminar)
Summer Term 2017
Computational Intelligence in Games (tutorial class)
Winter Term 2015/2016
Bayes Networks (tutorial class)
Intelligent Systems / Intelligente Systeme (tutorial class)
Summer Term 2015
Neural Networks (tutorial class)
Winter Term 2014/2015
Intelligent Systems / Intelligente Systeme (tutorial class)
Winter Term 2011/2012
Introduction to Computer Science / Einführung in die Informatik (tutorial class)
Co-Supervised Bachelor and Master Theses
- Maximilian Kühn(master thesis, 2020)
Neural Network-based Adaption of Rapidly Exploring Random Trees for Motion Planning - Martin Zettwitz (master thesis, 2019)
DeePolation: AI-based interpolation on multi-dimensional spherical sensors - Aditya Nemali (master thesis, 2019)
Clustering of Longitudinal Disease Progression Data - Bastian Heinrich (bachelor thesis, 2019)
Evolutionäre Agenten-Generierung für HearthStone - Tim Tippelt (master thesis, 2019)
Schaffung von Modellierungsansätzen zur Interaktionsvorhersage unbekannter Spiele - Sourabh Dandage (master thesis, 2019)
Multivariate Time Series Sensor Data Clustering - Tony Schwensfeier (master thesis, 2019)
Prediction of Player Moves in Collectible Card Games - Pankaj Narula (master thesis, 2018)
Designing an Interface between Data System and Root Cause Evaluation to enhance analysis strategy utilizing a larger Database for Tire Design, Manufacturing and Evaluation Process - Jannis Becke (master thesis, 2018)
Optimising All-Shortest-Path Dictionaries using Machine Learning - Chris Saxton (bachelor thesis, 2018)
- Sujan Adhikari (master thesis, 2018)
Regression Analysis for Power Consumption of a Production Plant - Cornelius Styp von Rekowski (master thesis, 2018)
Robust and Transferable Reflectance Reconstruction Using Deep Neural Networks - Jonathan Spiegel (bachelor thesis, 2018)
Classification of Differently Trained Larvae based on Changes in their Trajectories using Artificial Neural Networks - Maurice Hoffmeister (bachelor thesis, 2018)
Multikriterielle Wegfindung für Agentengruppen - Leopold Ryll (bachelor thesis, 2017)
Kursverlaufvorhersage von Wertpapieren mit Hilfe von Ensemble Classification - Matthias Hewellt (master thesis, 2017)
Entscheidungsheuristische Erweiterung des UCT-Algorithmus für Doppelkopf
Co-Supervised Projects
- Martin Zettwitz, Janos Zimmermann
Automatisierte Szenenbeschreibung: Grundlage für Training autonomer MCO Agenten - Oskar Kirmis, Florian Koch, Doreen Körte, Daniel Püsche
3D Pathfinding in Minecraft - Angelika Ophagen, Willy Failla
3D Pathfinding in Minecraft