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227-0085-16L 3 Credits BSC D-ITET

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Projects & Seminars: Machine Learning for Brain-Computer Interfaces

Projekte & Seminare: Machine Learning for Brain-Computer Interfaces

Lecturers & Examiners: Prof. Dr. Luca Benini

Does not take place this semester. Only for Electrical Engineering and Information Technology BSc. The course unit can only be taken once. Repeated enrollment in a later semester is not creditable.

VVZ CR n/a

Last Updated: 2026-02-05 16:07:22

Abstract

The 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.

Objective

A 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.

General Information

Language: English
Levels: BSC
Frequency: Semesterly recurring

Examination

Type: ungraded semester performance

Registration & Places

Signup Start: 18.02.2022
Signup End: 04.03.2022

Course Components

Type	Title	Time & Place	Hours
practical/laboratory course	Projekte & Seminare: Machine Learning for Brain-Computer Interfaces Does not take place this semester. Für den Zugang zum Angebot und zur Einschreibung loggen Sie sich hier ein (mit Ihrem n.ETHZ account): Bitte beachten Sie, dass die Seite jeweils erst zwei Wochen vor Semesterbeginn zugänglich ist und im Verlauf des Semesters wieder abgeschaltet wird. Die Einschreibung ist nur von Freitag vor Semesterbeginn bis zum ersten Freitagmittag im Semester möglich. To access the offer and to enroll for courses log in (with your n.ethz account): 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.	No time listed	3 h weekly

Offered In

Electrical Engineering and Information Technology Bachelor
- Laboratory Courses, Projects, Seminars (A minimum of 15 cp (under the 2018 regulations), respectively at least 18 cp (under the 2016 regulations) must be achieved in the category "Laboratory Courses, Projects, Seminars".)
  - Projects & Seminars (Enrolment is only possible for students in the BSc Electrical Engineering and Information Technology from Friday before the start of the semester. Places are allocated using the P&S application tool ( ). Please only enrol for P&S for which you apply via the tool.)