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.

2020S, SE, 2.0h, 3.0EC, to be held in blocked form
TUWEL

Properties

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

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

Topics in this semester.

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

Blocklehrveranstaltung. Nähere Informationen zu den aktuellen Themen und den Terminen werden in der allgemeinen Vorbesprechung der Abteilung besprochen (Termin siehe Homepage).

 

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

Lecturers

Institute

Examination modalities

The assessment takes into account

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

Course registration

Begin End Deregistration end
20.02.2020 14:00 18.03.2020 23:00 19.03.2020 12:00

Registration modalities

Ort: TISS Gruppe und Themenausgabe

Group Registration

GroupRegistration FromTo
1 Gruppe20.02.2020 14:0018.03.2020 23:00
2 Gruppe20.02.2020 14:0018.03.2020 23:00
3 Gruppe20.02.2020 14:0018.03.2020 23:00

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