Below you find a list currently open thesis topics (under reserve). If you are interested in a topic, please contact either directly the corresponding supervisor or, for general questions, Dr. Lars Ackermann. Independent from the number of topics we can only offer a limited capacity of free slots for theses. Please ask the corresponding supervisor if there is still enough capacity to supervise your chosen topic. Crossed out topics are already occupied. Please hover over the topics in order to display the attached brief descriptions.
The topic list above are suggestions which are well-conceived in that terms that they are suited to your study program and requirements. This is why we usually choose those internal topics over topics in collaboration with external companies. However, exceptions are possible but only in few cases.
If you intend to work on a topic in collaboration with an external company or institution please provide the following information:
- Contact details of the company/institution and the corresponding contact person and
- A brief description of the topic/idea.
The goals, scientific requirements and artifacts to develop for the thesis are decided by the corresponding supervisor at our chair (in coordination with the other supervisors).
All topic descriptions may change over time, usually driven by findings that emerge by working on the topics. Thus, all current descriptions are temporarily valid only.
|ID||Topic||Link||Type||Expected prior knowledge||Coordinator|
|002||MA||Advanced programming skills in Java, module INF 214 "Foundations of Modelling"||Martin Käppel|
|005||Extraction of Domain-specific Concepts from Process Event Logs||MA||Advanced programming skills in Java, modules INF 307 "Data Analytics", INF 328 "Advanced Information Systems"||Martin Käppel|
|009||BA/MA||INF 328 "Advanced Information Systems", MAT 103 "Formale Grundlagen der Informatik", INF 118 "Compilerbau"||Martin Käppel|
|011||MA||tba||Dr. Lars Ackermann|
|015||Deep Learning Optimization Techniques In Natural Language Processing For Process Model Extraction||MA||Advanced programming skills in Python & Java/Scala, Module INF 307: Data Analytics||* Thema vergeben||Dr. Lars Ackermann|
|ID||Topic||Links||Type||Expected prior knowledge||Coordinator|
|004||MA||Programming skills in Python, modules INF 307 "Data Analytics", INF 328 "Advanced Information Systems"|
|006||MA||Vertiefte Programmierkenntnisse in Python; Vorlesung INF 307 "Data Analytics"|
|007||BA||Empfohlen: Modul INF 120 "IT-Sicherheit" bzw. Grundkenntnisse bzgl. Sicherheit von Authentifizierungssystemen||Severin Selmaier|