Prof. Dr. Matthias Jarke - Theses
Bachelor
A Distributed Approach for the Co-Evolution of Metamodels and Models - Open
Supervised by PD Dr. Ralf Klamma, AOR, Prof. Dr. Matthias Jarke; Advisor(s):
Peter de Lange, M.Sc.
Master
A Peer-to-Peer Service Framework With WebAssembly - Open
Supervised by PD Dr. Ralf Klamma, AOR, Prof. Dr. Matthias Jarke; Advisor(s):
Dipl.-Medieninf. István Koren
Master
A Recommender System for Decentralized Question-Based Dialog - Open
Supervised by PD Dr. Ralf Klamma, AOR, Prof. Dr. Matthias Jarke; Advisor(s):
Peter de Lange, M.Sc.,
Dr. Tracie Farrell,
Bernhard Göschlberger, MLBT MSc BSc
Master
Best Practice Sharing in Production Networks - Open
Supervised by Prof. Dr. Matthias Jarke, Günther Schuh; Advisor(s):
Stefan Braun, M. Sc. RWTH,
Dipl.-Medieninf. István Koren
Bachelor
Chatbot-assisted Community Analysis - Open
Supervised by PD Dr. Ralf Klamma, AOR, Prof. Dr. Matthias Jarke; Advisor(s):
Alexander Tobias Neumann, M.Sc.
The goal of this thesis is a chatbot that can be used by a community to query usage data and visualizations from an existing system.
Bachelor
Datenstromverarbeitung an der Industriemaschine mit WebAssembly – Data Stream Processing on the Edge With WebAssembly - Open
Supervised by Prof. Dr. Matthias Jarke, Thomas Gries; Advisor(s):
Dipl.-Medieninf. István Koren,
Florian Brillowski
ENGLISH BELOW ↓
Datenstromverarbeitung an Industriemaschinen mit nativen Webtechnologien – Enabling sandboxed processing close to industrial machines with native web technologies.
Master
Gamification of Serious Games with Recommendation Support - Open
Supervised by PD Dr. Ralf Klamma, AOR, Prof. Dr. Matthias Jarke
The goal of this master thesis is to re-design and extend an existing serious games platform as microservices for a gamification framework already realized as microservice architecture.
Bachelor, Master
Bachelor
Linking DevOps Tools to Social Requirements Engineering - Open
Supervised by Prof. Dr. Matthias Jarke, PD Dr. Ralf Klamma, AOR; Advisor(s):
Dipl.-Medieninf. István Koren
Master
Predictive Modelling for High Pressure Die Casting Processes Using High Dimensional Feature Selection - Open
Supervised by Prof. Dr. Matthias Jarke, Prof. Dr. Peter Loosen; Advisor(s):
Arnab Chakrabarti, M.Sc.,
Prof. Dr. Christoph Quix,
Paul Buske
Bachelor, Master
Bachelor, Master
Text Mining Techniques for Student Assessments - Open
Supervised by PD Dr. Ralf Klamma, AOR, Prof. Dr. Matthias Jarke; Advisor(s):
Peter de Lange, M.Sc.,
Alexander Tobias Neumann, M.Sc.
The goal of this thesis is to integrate the open-source framework ReaderBench into the Kubernetes cluster of the tech4comp project. The thesis should investigate related work in the domain of text mining, natural language processing and educational data mining. The developed extension should integrate into the existing project's infrastructure and provide mentees and their mentors/tutors with advanced feedback on the mentee's reading comprehension.
Master
Valorisation of Community Information Systems - Open
Supervised by PD Dr. Ralf Klamma, AOR, Prof. Dr. Matthias Jarke
Bachelor
Web-based Cluster Deployment for a Large-Scale Distributed Infrastructure - Open
Supervised by PD Dr. Ralf Klamma, AOR, Prof. Dr. Matthias Jarke; Advisor(s):
Alexander Tobias Neumann, M.Sc.,
Peter de Lange, M.Sc.
Nowadays, agile development processes use cloud container orchestration platforms for continuous integration, deployment and delivery. Technologies like Docker and Kubernetes are used here as the state-of-the-art cloud-native infrastructures the software is deployed on. However, deployment of heterogeneous service environments, developed by multiple teams with different technical proficiency levels, is not a trivial task. The thesis should investigate possibilities of automatic Web-based deployment of microservices in a Kubernetes cluster.
Master
A Neural Network Model for Visualization Recommendation System - Running
Supervised by Prof. Dr. Matthias Jarke, Prof. Gerhard Lakemeyer, Ph.D.; Advisor(s):
Arnab Chakrabarti, M.Sc.
A Recommendation Tool for Data Visualization using Artificial Neural Networks
Strong interest in doctoral defense of Istvan Koren 