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Research Seminar Artificial Intelligence


Admission Requirements

Bachelor diploma


This course studies the topic of artificial intelligence, in its broadest sense, including historical perspectives and critical reflections. 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.

Course Objectives

Aim of the course is to obtain a broad perspective on Artificial Intelligence and its techniques, and studying, processing and presenting of scientific material.

Time Table

The dates are included in the Media Technology calendar

Mode of Instruction

Lectures and self study

Assessment Method

Homework tests, student presentations, attendance.


Reading List

Study materials will be provided by the lecturer during the course


Via program coordinator Media Technology: Nanda Milbreta:, 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

Contact Information

Nanda Milbreta:

Important Links

curriculum link

course webpage