After successful completion of the course, students are able to

• formulate and state a relevant problem of the respective discipline;
• conduct systematic literature research;
• apply a scientifically sound, methodologically comprehensible approach to problem solving;
• write a bachelor thesis with a clear structure and layout, in an elaborate language, and with relevant citations.

The student negotiates an individual project topic with the advisor, does research on the topic, and develops a theoretical or practical solution.

Topic areas:

• Blockchain technologies, smart contracts, cryptography, formal specification and verification: please contact Gernot Salzer.
• Fuzzy logic, Artificial intelligence (logic oriented), computability: please contact Christian Fermüller.
• Proof theory, medical expert systems, nondeterministic matrices: Agata Ciabattoni.
• Open Educational Ressources (creation, metadata, evaluation), tools for support of the basic teaching (literature search, implementation, evaluation): Stefan Podlipnig
• Further topics: please contact the other lecturers after checking their home pages.

The students search for relevant methods in literature, determine their suitability for the problem at hand, and apply one or more of them to solve the chosen task. They document their work and present the results.

The students are evaluated according to the following criteria: quality of literature research, suitability of chosen approach, comprehensiveness and precision of bachelor thesis, quality of results.