Bachelor degree (completed).
This seminar-style course studies the topic of artificial intelligence (AI), taking a broad and historical view. Goal of the course is to learn studying, processing and presenting scientific material, and to learn about artificial intelligence. The seminar consists of lectures, homework assignments/tests, and student presentations.
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, or to think about future directions. Topics include the question of whether machines can think, evolutionary computation, neural networks, computing with DNA, computers and emotions, computational creativity, cyborgs, and more. It is not a complete overview of AI topics. Some topics are not strictly AI but related; they were included to understand the history and context 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. Assessment and grading are based on student presentations, homework tests, and attendance. Reading material is distributed electronically in class.
Aim of the course is to obtain a broad perspective on Artificial Intelligence and its techniques, and studying, processing and presenting of scientific material.”
The dates are included in the Media Technology calendar
Mode of Instruction
Lectures and self study
Total course load: 168 hours (6 ECTS x 28 hours)
Attend lectures and seminars: 60 hours
Prepare classes: 75 hours
Complete assignments: 32 hours
Final assessment: 0 hours
Homework tests, student presentations, attendance.
Assessment and grading method (in percentages):
written examination with short questions (66.6%)
To complete the final mark, please take notice of the following: the final mark for the course is established by the weighing the marks for homework tests (66.6%) and presentation (33.3%), plus the additional requirement that the presentation grade be sufficient.
Sufficient component grades (homework and presentation) carry over to the academic year following that in which they were obtained. Insufficient components (homework and presentation) can be re-taken in the following academic year only under the condition that the final mark was insufficient.
Study materials will be provided by the lecturer during the course
Due to limited capacity, non-Media Technology students (external and exchange) can only register after consultation with and approval of the programme coordinator/study advisor (mailto:email@example.com).
You have to sign up for courses and exams (including retakes) in uSis.
Please also register for the course in [Blackboard].
Barbara Visscher-van Grinsven, programme coordinator/study advisor for the Media Technology MSc programme (mailto:firstname.lastname@example.org).