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 imples 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, attendance, a final project and written paper. Reading material is distributed electronically in class. The course is open to students from other programmes and institutes also.
Goal of the course is to learn studying, processing and presenting scientific material, and to learn about Artificial Intelligence.
The dates are included in the Media Technology calendar
Mode of Instruction
Lectures and self study
Homework tests, student presentations, project and paper
Study materials will be provided by the lecturer during the course
Via program coordinator Media Technology: Lianne Heun: firstname.lastname@example.org, 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
Lianne Heun: email@example.com