181.034 Seminar of Artificial Intelligence
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2024S, SE, 2.0h, 3.0EC

Properties

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

Learning outcomes

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

  • give on overview on the state-of-the-art of a selected research topic in the field of Artificial Intelligence (AI).
  • to find the relevant literature for a topic from AI.
  • to give an scientific talk on a topic from AI.

Subject of course

We use selected chapters of Proceedings of major AI conferences (e.g. Proceedings of the Conference on Principles of Knowledge Representation and Reasoning) and recent handbooks in the field to gain an overview of current research in the field.

Teaching methods

Scientific work in the area of formal AI (in particular, written elaboration and presentation of a topic in AI research)

Students, in agreement with the lecturers, select a topic in AI and starting from the conference proceedings of a major AI conference perform a literature research on that topic. They work out an overview on the state-of-the-art of the topic and give a oral presentation on that topic in the seminar.

Mode of examination

Immanent

Additional information

The seminar can be done either in German or English.

ECTS Breakdown:

  • 10h Talks
  • 65h Preparation of presentation, seminar paper

 

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

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Thu10:00 - 11:0007.03.2024Seminarraum FAV EG C (Seminarraum Gödel) kick-off Meeting

Examination modalities

The assessment takes into account the

  • quality of the elaboration of the topic,
  • the quality of the oral presentation and
  • the active participation in the presentations of the other students.

Course registration

Not necessary

Curricula

Study CodeObligationSemesterPrecon.Info
066 011 Double degree programme "Computational Logic (Erasmus-Mundus)" Not specified
066 931 Logic and Computation Mandatory elective
066 936 Medical Informatics Mandatory elective

Literature

No lecture notes are available.

Language

if required in English