194.118 Seminar in Artificial Intelligence - Theoretical Aspects of Machine Learning
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2022W, SE, 2.0h, 3.0EC


  • Semester hours: 2.0
  • Credits: 3.0
  • Type: SE Seminar
  • Format: Hybrid

Learning outcomes

After successful completion of the course, students are able to:

  • read, describe, present, and critically discuss theoretical aspects of machine learning algorithms;
  • perform literature research for related work;
  • extract the key aspects and results of a research topic and organise them for a presentation;
  • create presentation slides and present their research topic to their peers;
  • summarize the key content and results of a research topic in their own words in a scientific seminar paper;
  • critically review scientific papers on theoretical aspects of machine learning;
  • participate actively in joint research discussions.

Subject of course

The seminar is on selected theoretical aspects of machine learning algorithms, such as their computational complexity and learning theoretic error bounds.

Teaching methods

Students read original papers and perform literature research for related work. They create presentation slides and give talks, and receive formative feedback. They write their seminar paper using LaTeX and learn how to use bibliography management tools. Additionally, they write two scientific reviews for which they also receive formative feedback. Research discussions take place online/in-person with the students and their advisors.

Mode of examination


Additional information

3ects -> 75h
8h literature search and topic proposal
12h preparing and attending presentations
42h researching the state-of-the-art in the topic
13h writing final report

Please consider the plagiarism guidelines of TU Wien when writing your seminar paper: Directive concerning the handling of plagiarism (PDF)



Course dates

Thu15:00 - 16:0013.10.2022 Seminar room (FB0210), 2nd floor, Erzh.Johann-Platz 1 (or Zoom: https://tuwien.zoom.us/my/patrickindri)Kickoff meeting

Examination modalities

The final grade is made up of the quality of

  • the presentations,
  • the submitted written report (including the draft report), and
  • the written scientific reviews.

Course registration

Begin End Deregistration end
19.09.2022 00:00 20.10.2022 23:59


Study CodeObligationSemesterPrecon.Info
066 931 Logic and Computation Mandatory elective
066 936 Medical Informatics Mandatory elective


No lecture notes are available.