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Informatik 5
Information Systems
Prof. Dr. M. Jarke
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Prof. Dr. Matthias Jarke - Theses


Bachelor
Model-Based View Extraction With GraphQL - Open
Supervised by Prof. Dr. Matthias Jarke, Prof. Dr. Bernhard Rumpe; Advisor(s): Dr. István Koren, Manuela Dalibor
Master
A Neural Network Model for Visualization Recommendation System - Running
A Recommendation Tool for Data Visualization using Artificial Neural Networks
Bachelor
Chatbot-assisted Community Analysis - Running
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
Data Analysis of Micromobility in the City of Aachen - Running
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.
Bachelor
Disaggregating Traffic Demand Data for Agent-Based Traffic Simulations - Running
Traditional Traffic Demand Analysis as implemented in most commercial tools operate given variations of the so called four-step model. During this four-stepped modelling process origin-destination matrices are generated as output. With a rising amount of computation power, so called agent-based simulation tools are emerging. Here the traffic demand is not generated using a statistical model, but the decisions of each agent is evaluated in a simulation framework. In agent-based simulation frameworks more information is necessary, for example, complete activity chains for each agent. In this thesis a novel method for generating activity chains from origin-desination matrices is explored and compared with traditional demand forecasting methods.
Bachelor, Master
Text Mining Techniques for Student Assessments - Running
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.