184.068 Artificial Intelligence Seminar
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, to be held in blocked form

Properties

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

Learning outcomes

After successful completion of the course, students are able to

  • to name relevant aspects about artificiai intelligence,
  • to describe the current research for a chosen topic from the area of artificiai intelligence, and
  • to find relevant literature for a topic from research about artificiai intelligence.

Subject of course

Teaching methods

The students have to

  • perform a literature research for a selected topic,
  • prepare a presentation draft about the chosen topic, and
  • give a presentation of 50min.

Mode of examination

Immanent

Additional information

Blocked course. More information to the current topics and the schedule will be given during the topic assignment (date see below).

The course is planned in presence mode but may change into an online format if the COVID situation necessitates it.

 

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
Thu17:00 - 18:0020.10.2022 Held with a web-based videoconferencing system (BigBlueButton; access details will be sent by email) (LIVE)Topic presentation
Course is held blocked

Examination modalities

The assessment takes into account

  • the literature research,
  • the presentation draft, and
  • the presentation.

Course registration

Begin End Deregistration end
10.09.2022 01:00 14.11.2022 23:59 14.11.2022 23:59

Registration modalities

Ort: TISS Gruppe und Themenausgabe

Group Registration

GroupRegistration FromTo
Gruppe Egly10.09.2022 01:0014.11.2022 23:59
Gruppe Eiter10.09.2022 01:0014.11.2022 23:59
Gruppe Tompits10.09.2022 01:0014.11.2022 23:59

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
881 Computer Sciences Mandatory elective

Literature

Different publications (will be announced during the seminar).

Previous knowledge

Elementary knowledge in AI and logic.

Preceding courses

Miscellaneous

Language

English