== Project ''Brain-Computer Interfacing'' ==

=== Time, Location, and other information ===

|| '''Module:''' || MINF-IS-BCI/PJ, 6 SWS, 9 ECTS [[https://moseskonto.tu-berlin.de/moses/modultransfersystem/bolognamodule/beschreibung/anzeigen.html?number=40007&version=3|Modulbeschreibung]] ||
||<(|2> '''Zeit:''' || some common dates on Tuesdays at 10am ||
|| otherwise up to agreement (group work; conducting experiments)||
|| '''Location:''' || TUB Marchstr. 23, Room MAR 4.044 ||
||'''First meeting to distribute topics'''|| Tuesday, 18|04|2017, 10:15am to 12 ||
|| '''Lecturer:''' || [[http://www.user.tu-berlin.de/blanker/|Benjamin Blankertz]] (verantwortlich) ||
|| '''Entry in the course catalogue:''' || [[http://lsf.tubit.tu-berlin.de/qisserver/servlet/de.his.servlet.RequestDispatcherServlet?state=verpublish&status=init&vmfile=no&publishid=195625&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung|LSF entry]] ||
|| '''Webpage of the course:''' || [[https://isis.tu-berlin.de/course/view.php?id=10318|InfSIS]] ||

=== Inhalt ===

This projects conveys experimental competences of Brain-Computer Interfacing (BCI) exemplary. Moreover, theoretical skills in signal processing and machine learning are trained practically in hands-on experiments with self acquired data. A typical project is as follows: work out an experimental design for a given hypothesis; implement the experiment and conduct a study (including the acquisition of physiological data) with about 6 participants; investigate the acquire data with standard analysis methods and techniques from machine learning; put the results into perspective given the state-of-the-art and present them as a talk in a written report. Projects are performed in groups of 2 to 4 students.

Note: This project is about the practical aspects of Brain-Computer Interfaces. The background about this field of research is given in the lecture "Brain-Computer Interfacing".


=== Voraussetzungen und Anforderungen ===

Programming skills (Matlab/Octave) and basic knowledge in signal processing and machine learning is required. Having participated in the lecture Brain-Computer Interfacing before is helpful but not required.

Active participation in the project and presentation of the results in a talk and in a report are required.


=== Material ===

Material will be provided on the web page of the course (see above).