227-0085-16L  Projects & Seminars: Machine Learning for Brain-Computer Interfaces

SemesterSpring Semester 2021
LecturersL. Benini
Periodicityevery semester recurring course
CourseDoes not take place this semester.
Language of instructionEnglish
CommentOnly for Electrical Engineering and Information Technology BSc.

The course unit can only be taken once. Repeated enrollment in a later semester is not creditable.



Courses

NumberTitleHoursLecturers
227-0085-16 PProjekte & Seminare: Machine Learning for Brain-Computer Interfaces Special students and auditors need a special permission from the lecturers.
Does not take place this semester.
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Please note that the P&S-site is accessible no earlier than two weeks before the start of the semester until four weeks after the start of the semester. Enrollment is only possible from Friday before the start of the semester until noon of the first Friday in the semester.
3 hrsL. Benini

Catalogue data

AbstractThe category of "Laboratory Courses, Projects, Seminars" includes courses and laboratories in various formats designed to impart practical knowledge and skills. Moreover, these classes encourage independent experimentation and design, allow for explorative learning and teach the methodology of project work.
ObjectiveA brain-computer interface (BCI) provides a communication and control channel based on the recognition of subject’s intention from spatiotemporal activity of the brain. A typical method to acquire neural activity signals is electroencephalograhy (EEG), which is often used in BCI. In order to make these data usable and get useful information out of them, signal processing techniques play a crucial role. Moreover, feature extraction and machine learning methods are applied to obtain a highly accurate BCI.
The aim of the Project and Seminars course is to give insights of signal processing and machine learning applied to brain-computer interfaces to undergraduate students, by having hands-on experience in brain signal acquisition, data processing, feature extraction, and machine learning.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits3 credits
ExaminersL. Benini
Typeungraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.

Learning materials

No public learning materials available.
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

General : Special students and auditors need a special permission from the lecturers
PlacesLimited number of places. Special selection procedure.
Beginning of registration periodRegistration possible from 19.02.2021
PriorityRegistration for the course unit is only possible for the primary target group
Primary target groupElectrical Engin. + Information Technology BSc (228000)
Waiting listuntil 12.03.2021
End of registration periodRegistration only possible until 05.03.2021

Offered in

ProgrammeSectionType
Electrical Engineering and Information Technology BachelorProjects & SeminarsWInformation