Introduction to EEG methods in Cognitive Science

Course Description: 

This course introduces students to the use of electroencephalography (EEG) for measuring brain
function to access cognitive mechanisms in humans. This is a practical course, where students
receive hands-on experience in recording and analyzing EEG data, as well as in designing
experiments and interpreting findings using this method.

Learning Outcomes: 

By the end of the course, students should
- be familiar with the nature of the EEG signal and its derivatives,
- be able to design experiments using EEG measures,
- know the basic steps of analyzing EEG data, and
- be able to critically interpret the results of studies published with this technique


Grade is awarded on the basis of
- attendance of classes and lab practice,
- completing assignments in data analysis,
- and submitting a research report and an experimental design by the end of the term
(submission deadline: April 10, 2017).