This course studies the topic of artificial intelligence, in its broadest sense. It covers various sexy topics from the field of artificial intelligence, to the level that should enable students to discuss AI comfortably with other scientists. The topics include the question of whether machines can think, evolutionary computation, neural networks, computing with DNA, computers and emotions, biological computations, artificial creativity, and more. The selected topics were chosen to be practically applicable, or to make students think about future directions of artificial intelligence.
Seminar-style implies that presentations are mainly held by the students themselves, with much plenary discussion and interaction. Active participation and full class attendance are required to pass the course. Examination is based on student presentations, homework tests, and attendance. Reading material is distributed electronically in class.
The course is open to students from other programs and institutes also, insofar as seats are available and only with express permission of the lecturer. Media Technology MSc students have priority over other students. Unfortunately, the availability of seats in the course can only be assessed at course start.
Goal of the course are to learn about Artificial Intelligence, and studying, processing and presenting scientific material.
The dates are included in the Media Technology calendar
Mode of Instruction
Lectures and self study
Homework tests, student presentations, attendance.
Study materials will be provided by the lecturer during the course
Via program coordinator Media Technology: Nanda Milbreta: email@example.com, 071-527 6994
Signing up for classes and exams in uSis
You have to sign up for classes and examinations (including re-exams) in uSis. Check this link to find the information and activity codes.
How to sign up for classes and exams
Nanda Milbreta: firstname.lastname@example.org