Course ObjectiveTo provide students with a broad insight in the rapidly developing field
of brain modelling, artificial intelligence, brain computer interfacing
and machine learning.
Specifically, at the end of the course the student should be able to:
1. explain the meaning of key concepts treated in the course and to give
examples of where key concepts are already applied (services or
2. describe most commonly used forms of, as well as the state-of-the-art
and trends in, brain modeling, AI and BCI as disicussed in the course.
3. reproduce the underlying principles of brain modelling, AI and BCI
at at the level discussed in the course.
4. reproduce and present with a group of students the content of a
scientific paper at the level of a science journalist for a layman
5. provide constructive feedback to fellow students with the aim of
improving their oral presentation and is able to use received feedback
to improve his/her own oral presentation.
6. develop, present and defend a business proposal, i.e., an idea for a
product or service that exploits state-of-the-art technological advances
within the themes of the course, or advances that may be anticipated in
the coming years.
7. formulate a scientifiaclly informed opinion about the ethical aspects
of AI and BCI.
Course ContentPeople have always been fascinated with the idea to create intelligent
computers and robots and to integrate computers in the brain to
manipulate or enhance
its performance. In this course, the current status is discussed of
brain inspired artificial intelligence, realistic computer simulations
of the brain an brain-computer interfacing. To
investigate how close science has come to science fiction students work
in groups to prepare a business proposal in which they describe a new
commercial application of artificial intelligence or brain computer
interfacing. Students will present with their group a scientific paper
describing the key technology of their project. The business proposal is
presented to peers and a reviewer during a poster session at the end of
the course. In addition, students will discuss the ethical, legal, and
philosophical aspects of artificial intelligence and
Teaching MethodsLectures 40 hrs
Practicals 12 hrs
Business project 60 hrs
Method of AssessmentExam 50%
Business project 40%
Weighted average of exam and business project need to be 5.5 or higher
to pass the course and cannot be compensated by the Discussion grade.
LiteratureTo be decided
Target AudienceAll students with an interest in the computational abilities of the
brain and brain-imspired technology
Additional InformationPart of minor Brain and Mind.
This minor course requires a minimum of 25 participants to take place.
Central Academic Skills:
Think out of the box: imagination may push basic science into
applications and create business opportunities.
Recommended background knowledgeTwo years of study at bachelor’s level.
|Language of Tuition||English|
|Faculty||Faculty of Science|
|Course Coordinator||dr. L.N. Cornelisse|
|Examiner||dr. L.N. Cornelisse|
dr. L.N. Cornelisse
dr. K. Linkenkaer Hansen
You need to register for this course yourself
Last-minute registration is available for this course.
|Teaching Methods||Computer lab, Study Group, Lecture, Excursion|