Universität Wien
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059120 VO Current Topics in Artificial Intelligence (2026S)

5.00 ECTS (2.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik
Moodle

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Details

Language: English

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 03.03. 16:45 - 18:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
  • Tuesday 10.03. 16:45 - 18:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
  • Tuesday 17.03. 16:45 - 18:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
  • Tuesday 24.03. 16:45 - 18:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
  • Tuesday 14.04. 16:45 - 18:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
  • Tuesday 21.04. 16:45 - 18:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
  • Tuesday 28.04. 16:45 - 18:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
  • Tuesday 05.05. 16:45 - 18:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
  • Tuesday 12.05. 16:45 - 18:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
  • Tuesday 19.05. 16:45 - 18:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
  • Tuesday 26.05. 16:45 - 18:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
  • Tuesday 02.06. 16:45 - 18:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
  • Tuesday 09.06. 16:45 - 18:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
  • Tuesday 16.06. 16:45 - 18:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
  • Tuesday 23.06. 16:45 - 18:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8

Information

Aims, contents and method of the course

This lecture series provides an overview of current developments in the field of artificial intelligence. This year's focus will be on using AI to advance all forms of research, including research in the humanities, the social sciences, the natural sciences, as well as research in AI itself.

The first three weeks of lectures will introduce the foundations of machine learning and current AI models. You will get a high level overview of how AI models work and how they are developed.

For the remainder of the semester, there will be talks by researchers from Vienna and abroad who use methods from AI to advance their respective fields, including, but not limited to, AI in education, AI for enzyme discovery, AI to study human cognition, AI-based brain-computer interfaces, and AI-driven literary studies.

See the Moodle course for a full list of invited speakers.

Assessment and permitted materials

The final grade is determined by the grade of the written examination at the end of the semester.

Additionally, you can collect bonus points up to 10 percentage points for in-person attendance during the invited talks (see below for details).

Minimum requirements and assessment criteria

At least 50% of the possible points must be achieved at the end of the semester.

BONUS POINTS

Additionally, you will be able to collect bonus points for attending invited talks in person during the semester, which may boost your final grade by up to 10 percentage points. Specifically, if you attend at least 8 out of 10 invited talks (lectures between 14/04 and 16/06) in person, you will get a 10 percentage points bonus on the final exam. If you attend fewer than 8 invited talks in person, you will not receive any bonus points.

GRADING SCHEME

The following grading scheme applies:

87% - 100% of the points: grade 1
75% - <87% of the points: grade 2
62% - <75% of the points: grade 3
50% - <62% of the points: grade 4
<50% of points: failed

Examination topics

In the written exam, questions on the topics of the lectures must be answered.

Reading list

Reading recommendations will be announced on Moodle.

Association in the course directory

Last modified: Mo 22.06.2026 10:46