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''Credits:'' 6 [[ECTS]], 4 [[SWS]]<br>
''Credits:'' 6 [[ECTS]], 4 [[SWS]]<br>
''Date:''Wednesday 9:15-12:30<br>
''Date:''Wednesday 9:15-12:30<br>
''Venue:'' Raum 204, Marienstrasse 7b<br>
''Venue:'' Raum 204, Marienstrasse 7<br>
''Eglible participants:'' BfA MKG, MfA MKG, VK, Media Architecture, PD, Diplom Kunst<br>
''Eglible participants:'' BfA MKG, MfA MKG, VK, Media Architecture, PD, Diplom Kunst<br>
''First meeting:'' Wednesday, 12th of April 9:15-12:30<br>
''First meeting:'' Wednesday, 12th of April 9:15-12:30<br>

Revision as of 13:46, 11 April 2017

The Hidden Layer

Artificial Intelligence in creative contexts.


Lecturer: Felix Bonowski
Credits: 6 ECTS, 4 SWS
Date:Wednesday 9:15-12:30
Venue: Raum 204, Marienstrasse 7
Eglible participants: BfA MKGMedienkunst/Mediengestaltung, MfA MKGMedienkunst/Mediengestaltung, VKVisuelle Kommunikation – a graphic design program at the faculty Gestaltung, Media Architecture, PD1. Public Domain 2. in the context of the university PD sometimes stands for Product Design 3. Police Department, Diplom Kunst
First meeting: Wednesday, 12th of April 9:15-12:30


We participate in the Zentrale Projektvergabe der Fakultät Kunst und Gestaltung.
So please... Come to the "Projektbörse" on Monday, 3. April 11:00-12.30 in Audimax

Preference will be given to those who "win" a place there, everybody else is welcome if there is still capacity.

Course content

How does the world look like if you happen to be an artificial intelligence?

What's going on when machines cathegorize sensual information?
What's their inner model of the world?
How do they make decisions?
How can they express themselves?
Are their intentions benign?

During the course, we will collect our own data and use classical machine learning algorithms to develop an understanding for a datadriven perspective on the world.

The focus will be put on cathegorizing and generating images, texts and sound.

As part of your exercises you will conduct measurements, do research and apply algorithms that were presented during the course.

Programming experience is welcome - if you don't have any, but you bring a lot of interest for the topic, you can form a team with other participants with more technical know how.