EEG Laboratory 1100-3BN20
This course has not yet been described...
Mode
Prerequisites (description)
Course coordinators
Learning outcomes
After having completed the course a student should:
KNOWLEDGE
1. Know the advanced methods of analysis of brain electrical activity.
2. Know the basics of construction of brain-computer interfaces.
ABILITIES
1. Be able to perform advanced EEG signal analysis using Matlab and EEGLAB packages.
2. Be able to design brain-computer interface using Open BCI system.
BASICS
1. Recognize the importance of signal analysis in description, characterization and practical application of recordings of brain electrical activity
Assessment criteria
The assessment takes into account the presentation of individual exercises and the whole student's work during the classes.
Two excused absences are permitted.
Additional information
Information on level of this course, year of study and semester when the course unit is delivered, types and amount of class hours - can be found in course structure diagrams of apropriate study programmes. This course is related to the following study programmes:
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: