Seminar
(2 semester hours per week in second half of the winter term. 2 semester hours per week in summer term. ) |
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6.02.170_3_Gr1 - EEG analysis with Matlab - group 1
- Prof. Dr. Stefan Debener, Dipl.-Psych.
- Joanna Elizabeth Mary Scanlon
Termine am Montag, 05.10.2020 - Freitag, 09.10.2020 08:00 - 16:00, Freitag, 16.10.2020 15:00 - 17:00, Donnerstag, 12.11.2020 13:00 - 15:00, Ort: A06 0-001, A07 0-030 (Hörsaal G), ((A7 0-036))
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6.02.170_3_Gr2 - EEG analysis with Matlab - group 2
- Prof. Dr. Stefan Debener, Dipl.-Psych.
- Joanna Elizabeth Mary Scanlon
- Nadine Jacobsen
Termine am Montag, 05.10.2020 - Freitag, 09.10.2020 08:00 - 16:00, Freitag, 16.10.2020 15:00 - 17:00, Donnerstag, 12.11.2020 13:00 - 15:00
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Teilnahmevoraussetzungen |
Enrolment in Master's programme Neurocognitive Psychology. |
Hinweise |
PLEASE NOTE: We strongly recommend to take either psy170, psy270, psy280, psy220 or psy290 to gain methodological competencies (EEG, fMRI, TBS, HCI, ambulatory assessment techniques) that are needed for most practical projects and Master's theses! |
Kapazität/Teilnehmerzahl |
18 (The lecture is not restricted. )
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Prüfungszeiten |
exam period at the end of the summer term |
Prüfungsleistung Modul |
The module will be tested with a written exam of 2 h duration.
Required active participation for gaining credits: recording of electroencephalographic data of fellow students and serving as participant for classmates attendance of at least 70% in each seminar within one semester (will be checked in StudIP). |
Kompetenzziele |
Goals of module: Students will understand the basic concepts of biomedical signal processing. They will use EEG analysis tools interactively and independently and will understand the complete chain of EEG analysis steps, from data import to the illustration of results. They will be able to use open source tools for EEG analysis and apply theoretical knowledge to practical problems of physiology.
Competencies: ++ Neuropsychological / neurophysiological knowledge ++ experimental methods ++ statistics & scientific programming ++ ethics / good scientific practice / professional behavior + group work + project & time management |
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