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''Lecturer:'' [[GMU:Felix Bonowski|Felix Bonowski]]<br>
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''Credits:'' 6 [[ECTS]], 4 [[SWS]]<br>
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''Date:''Wednesday 9:15-12:30<br>
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''Venue:'' Raum 204, Marienstrasse 7b<br>
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''First meeting:'' Wednesday, 12th of April 9:15-12:30<br>
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''Application:'' '''See below!'''<br>
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<br><br>
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''How does the world look like if you happen to be an artificial intelligence?''
 
''How does the world look like if you happen to be an artificial intelligence?''
  

Revision as of 08:09, 1 April 2017

Lecturer: Felix Bonowski
Credits: 6 ECTS, 4 SWS
Date:Wednesday 9:15-12:30
Venue: Raum 204, Marienstrasse 7b
First meeting: Wednesday, 12th of April 9:15-12:30
Application: See below!


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.