Skip to content. | Skip to navigation

Informatik 5
Information Systems
Prof. Dr. M. Jarke
Sections
Personal tools
You are here: Home Theses

Contact

Prof. Dr. M. Jarke
RWTH Aachen
Informatik 5
Ahornstr. 55
D-52056 Aachen
Tel +49/241/8021501
Fax +49/241/8022321

How to find us

Annual Reports

Disclaimer

Webmaster

 

 

Theses

Information about Diploma/Master thesis process

Open Theses  


Master
(De) & Centralized Approaches for Storing Open Learner Models.
Posted on 13. May 2015; Supervised by PD Dr. Ralf Klamma, AOR, Prof. Dr. Matthias Jarke; Advisor(s): Kateryna Neulinger, M.Sc.
This master thesis is aimed to answer the research question: "How to best store learner-specific information to achieve better accessibility, security, reusability and retrieval time?" For this purpose the client-server, peer-to-peer (p2p) and Bitcoin approaches for storing information will be implemented and compared.
Bachelor, Master
A Marketplace for Intermodal Travelling
Selecting and booking the approriate intermodal itinerary out of large pool of options can be challenging. Current and next generation travel information systems like qixxit or moovel tackle this problem in different ways but not satisfying. We would like to create a userfriendly marketplace based on our work in project Mobility Broker to support intermodal travelling.
Bachelor, Master
Agent Based Mobility Service Bundling
Posted on 15. Aug 2014; Supervised by Prof. Dr. Matthias Jarke; Advisor(s): Dipl.-Kfm. Markus Christian Beutel, Dr. Karl-Heinz Krempels
We want you to model and implement an agent database in a multimodal transportation network. Within this network, you should simulate decisions and travel behaviour under the influence of pricing measures.
Master
Distributed Learner Models
Posted on 06. May 2015; Supervised by PD Dr. Ralf Klamma, AOR; Advisor(s): Kateryna Neulinger, M.Sc.
This master thesis is aimed to create distributed learner models by aggregating information about learner’s previous experience from open learning environments and social networks.
Master
Implementing Pregel for a Multi Model Database
Posted on 14. Dec 2013; Supervised by PD Dr. Ralf Klamma, AOR, Prof. Dr. Matthias Jarke; Advisor(s): Dr. Frank Celler (triAGENS GmbH)
The goal of this thesis is to implement functionality for a multi model database to run established graph algorithms parallelized.
Master
Learning Analytics platform for Personal Learning Environments
Posted on 05. Nov 2013; Supervised by PD Dr. Ralf Klamma, AOR; Advisor(s): Dr. Milos Kravcik
The aim is to develop a platform that collects relevant data from learning processes and visualizes it in a meaningful way in order to support different target groups – learners, teachers, and researchers/developers.
Bachelor
Serious Games for Public Health Interventions
Posted on 30. Dec 2014; Supervised by PD Dr. Ralf Klamma, AOR, Dr. Andreas Herrler
In this thesis, we extend our existing mobile serious game framework for realising monitoring and intervention tools for public audiences playing serious games.
Master, Diplom
Shared Editing Leveraging Secure Peer-to-Peer Connections on the Web
Posted on 21. Jun 2013; Supervised by Prof. Dr. Matthias Jarke, PD Dr. Ralf Klamma, AOR; Advisor(s): Dipl.-Medieninf. István Koren
This thesis builds upon state-of-the-art web technologies to provide a highly secure decentralized framework for shared editing.
Bachelor, Master
Signaling WebRTC over XMPP
Posted on 25. Feb 2013; Supervised by Prof. Dr. Matthias Jarke, PD Dr. Ralf Klamma, AOR; Advisor(s): Dipl.-Medieninf. István Koren
Connecting the power of XMPP-based audio/video communication with the broad reach of state of the art HTML5 web applications.
Bachelor
The Learning Toolbox
Posted on 20. Feb 2014; Supervised by PD Dr. Ralf Klamma, AOR; Advisor(s): Graham Attwell
The Learning Toolbox is a mobile application supporting apprentice education in German construction industry.

Running Theses


Completed Theses


Bachelor
Development of a Domain Specific Language for Supporting Data Consistency of Clinical Trials
Kern, Kirsten in 2015; Supervised by PD Dr. Christoph Quix, Prof. Dr. Dr. Klaus Kabino; Advisor(s): Dr. rer. nat. Cord Spreckelsen
The integration of computational applications into all kind of professional fields is nothing new. Medical software has the purpose to support, manage and maintain health services. Often a programming language is not limited to a single domain, but can be used in various ones. These programming languages are called general purpose languages. But since each mdeical domain has its own characteristics, the idea of developing tailored software constantly evoke attention in recent years. Meanwhile, domain specific languages (DSLs) are an established tool in order to meet this approach. Concurrently, from the year 2000 to the year 2014, the number of worldwide registered clinical trials increased demonstrably and constantly. Clinical trieals mainly deal with the observation and evaluation of health-related interventions. The collected data is entered into (electronic) case report forms. The correctness of patient-related data has a high influence on the later quality of the trial results. Therefore, all sources of data errors, for example measurement or data entry errors, should be detected as early as possible. Hence, this bachelor thesis focuses on the question whether a DSL is based on four major steps: Determining the domain model (1), defining the behaviour of the corresponding elements (2), defining the concrete syntax of the domain specific language (3), selection of and integration to an appropriate platform (4). In this thesis, JBoss Drools, a business rule management system, turned out to be a suitable implementation tool. Afterwards a discussion illuminates both, strengths and potential improvements of the realization. A fundamental findind is, that domain experts can help to figure out relevant domain concepts and additionally can contribute during the evaluation process of the implementation. Moreover, it turned out that it is important to ensure from the very beginning to the end of the development that the defined DSL is highly adaptable and expandable as clinical trials have different requirements depending on their phase and indication area.
Bachelor
Learning Analytics and Motivation for Serious Games in Medical Education
Kajzer, Marko in 2015; Supervised by PD Dr. Ralf Klamma, AOR, Dr. Andreas Herrler
Based on a realized mobile serious game for medical education this thesis should realize a learning analytics module and motivational support by "open badges".