After successful completion of the course, students are able to

• to apply scientific methods
• to research
• to find creative solutions to problems
• to reflect on one's own work in a technical and social context
• to present results both in writing and spoken form

Topics will be discussed with the supervisor.

Topics

• Stefan Biffl (QSE): Preliminary Discussion: 01.03.2024 16:30, EI 7;
  current topics: https://qse.ifs.tuwien.ac.at/offered-topics/
  
  
• Silvia Miksch and team  (Visualization: Visual Analytics, Information Visualization): 
  Topics: http://www.cvast.tuwien.ac.at/topics 
  Preliminary discussion:
  TUWEL-Kurs: https://tuwel.tuwien.ac.at/course/view.php?id=46636 
  First Meeting: 23. März 2022, 12:00 (c.t.), Raum FAV 01 A - Favoritenstrasse 9
  
  
• For topics of Horst Eidenberger (Machine Learning, Computational Perception, Data Science, Virtual Reality, Strategy Game Programming) please see http://www.ifs.tuwien.ac.at/eidenberger/index.html#tasks
  
  
• Thomas Neubauer (Software Engineering, Programmierung)

•  Individual assignments depending on the task at hand.
• Teamwork is possible after consultation with the supervisor. 
• Interactive process in consultation with the supervisor. 
• Question hours, discussion rounds as required.

expected effort of students: 150 hours

ECTS Breakdown       10 ECTS = 250 hours       10   Proposal writing 40   Problem Analysis, Literature research 50   Design 80   Implementation / Evaluation 60   Master Thesis writing 10   Presentation ------   ------ 250    

The assessment is based on the quality and originality of the oral and written presentation of the topics as well as the necessary preliminary work and also takes into account the commitment in the discussion of the work of other students.