Prof. Dr. Matthias Jarke - Theses
Master
A Peer-to-Peer Service Framework With WebAssembly - Running
Supervised by PD Dr. Ralf Klamma, AOR, Prof. Dr. Matthias Jarke; Advisor(s):
Dr. István Koren
Master
A Recommender System for Decentralized Question-Based Dialog - Running
Supervised by PD Dr. Ralf Klamma, AOR, Prof. Dr. Matthias Jarke; Advisor(s):
Alexander Tobias Neumann, M.Sc.,
Dr. Peter de Lange,
Tracie Farrell,
Bernhard Göschlberger, MLBT MSc BSc
Bachelor
A Web-Based Best Practice Exchange Platform for the Shop Floor - Running
Supervised by Prof. Dr. Matthias Jarke, Günther Schuh; Advisor(s):
Dr. István Koren,
Stefan Braun, M. Sc. RWTH,
Niklas Rodemann
Bachelor
Data Analysis of Micromobility in the City of Aachen - Running
Supervised by Prof. Dr. Matthias Jarke, Prof. Wolfgang Prinz, Ph.D; Advisor(s):
Felix Schwinger, M. Sc.
This thesis focuses on the data analysis of micromobility data in Aachen. The goal is to use data science methods to gain insights from the already gathered data. To this end, a suitable data model should be defined, which then enables the analysis of both station-based, free-floating and hybrid shared mobility modes. On this defined data basis, various analyses should be performed.
Master
Detecting Appliances and Faults in Appliances based on Power Usage Data - Running
Supervised by Prof. Dr. Matthias Jarke, Prof. Dr. Thomas Berlage; Advisor(s):
Karl Catewicz
Master
Improving passenger demand predictions for public transport with long-term forecasts and real-time occupancy data - Running
Supervised by Prof. Dr. Matthias Jarke, Prof. Dr. Thomas Rose; Advisor(s):
Felix Schwinger, M. Sc.,
Jonas Wernz (IVU),
Henrik Haeger (IVU)
Bachelor, Master
Bachelor
Model-Based View Extraction With GraphQL - Running
Supervised by Prof. Dr. Matthias Jarke, Prof. Dr. Bernhard Rumpe; Advisor(s):
Dr. István Koren,
Manuela Dalibor
Master
Recognition of Anomalous Behavior in the Context of Access Control System - Running
Supervised by Prof. Dr. Matthias Jarke, Prof. Dr. Christoph Quix; Advisor(s):
Dr. Rihan Hai,
Bachelor, Master
Text Mining Techniques for Student Assessments - Running
Supervised by Prof. Dr. Matthias Jarke; Advisor(s):
Dr. Peter de Lange,
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
User-centered Design of Tools for Dynamic Tagging of Environment to Support Firefighters in Disaster Scenarios - Running
Supervised by Prof. Dr. Matthias Jarke, Prof. Wolfgang Prinz, Ph.D; Advisor(s):
Svetlana Matiouk
Bachelor
Chatbot-assisted Community Analysis - Finished
Completed by Lakhoune, Ben in 2021;
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.
Master
Utilize Chat Interfaces for Social Bot Creation - Finished
Completed by Kraemer, Christoph in 2021;
Supervised by PD Dr. Ralf Klamma, AOR, Prof. Dr. Matthias Jarke; Advisor(s):
Alexander Tobias Neumann, M.Sc.,
Dr. Peter de Lange
Social Bots (software robots) are computer algorithms that automatically produce content and interact with humans on social media. This thesis will utilize chat interfaces and a social bot framework to create social bots. It will also extend the framework to support various social bot types (e.g. chatbots, crawlers, transactional bots or informational bots).
Master
Capturing the system architecture design process - Finished
Completed by Kanmogne, Linda in 2021;
Supervised by Prof. Dr. Matthias Jarke, Prof. Dr. Thomas Rose; Advisor(s):
Dr. Karl-Heinz Krempels,
Fabian Ohler, M. Sc. RWTH
Bachelor
Web-based Cluster Deployment for a Large-Scale Distributed Infrastructure - Finished
Completed by Rastoder, Erdzan in 2021;
Supervised by PD Dr. Ralf Klamma, AOR, Prof. Dr. Matthias Jarke; Advisor(s):
Alexander Tobias Neumann, M.Sc.,
Dr. Peter de Lange
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.
Open Access to MIT Press Book „Metamodeling for Method Engineering” 