School of Mathematics and Natural Sciences

Teaching

Courses

Supervised & reviewed theses

Name Title Degree First reviewer Second reviewer
Dennis Olbrich Modulare Implementierung von Krylow-Verfahren für Matrixfunktionen in Python B. Sc. Applied Science (BUW), 2023 Marcel Schweitzer Andreas Frommer
Peter Stock Testautomatisierung mobiler Applikationen in der Cloud am Beispiel der myVAILLANT App M. Sc. Industrial Engineering and Information Technology (BUW), 2022 Matthias Bolten Marcel Schweitzer
Sufyan Dahalan VSWorkbench: An Extensible Visual Studio Code Plugin for Bridging the Gap between Key Developer Tools B. Sc. Computer Science (BUW), 2022 Holger Arndt Marcel Schweitzer
Jonas Becker Automatisiertes Zusammenfügen von strukturierten Gittern im dreidimensionalen Raum B. Sc. Computer Science (BUW), 2022 Matthias Bolten Marcel Schweitzer
Carla Eckelt Optimale Spielstrategien für 2048 mit Hilfe von Monte Carlo Search Trees B. Sc. Computer Science (BUW), 2022 Karsten Kahl Marcel Schweitzer
Luisa Schuhmacher Training Artificial Neural Networks to have tight McCormick Relaxations for fast subsequent Optimization M. Sc. Artificial Intelligence and Data Science (HHU), 2021 Marcel Schweitzer Manuel Dahmen (FZ Jülich)
Sarah Glasmacher Towards Better Understanding Stochastic Gradient Descent for Deep Learning M. Sc. Computer Science (HHU), 2021 Stefan Harmeling (HHU) Marcel Schweitzer
Shiva Khodayari Enlarged Krylov Subspace Conjugate Gradient for Reducing Communication M. Sc. Computer Simulation in Science (BUW), 2017 Andreas Frommer Marcel Schweitzer

Acknowledgment

Use of Visual Paradigm Online's diagramming tools is made available to Bergische Universität Wuppertal under the Academic Partner Program from Visual Paradigm for educational use.

Weitere Infos über #UniWuppertal: