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_2_Gr1 - EEG recording and analysis concepts (group 1)
- Prof. Dr. Stefan Debener, Dipl.-Psych.
- Florian Kasten
- Joanna Elizabeth Mary Scanlon
- Jill Von Conta
Termine am Montag, 02.12.2019, Montag, 09.12.2019, Montag, 16.12.2019, Montag, 06.01.2020, Montag, 13.01.2020, Montag, 20.01.2020, Montag, 27.01.2020 14:00 - 18:00
lab course EEG (Neurophysiology part 2)
Please sign up in group 1 or 2. Each group will be subdivided again in 2 small groups running in parallel.
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6.02.170_2_Gr2 - EEG recording and analysis concepts (group 2)
- Prof. Dr. Stefan Debener, Dipl.-Psych.
- Florian Kasten
- Joanna Elizabeth Mary Scanlon
- Jill Von Conta
Montag: 14:00 - 18:00, wöchentlich (ab 02.12.2019)
lab course EEG (Neurophysiology part 2)
Please sign up in group 1 or 2. Each group will be subdivided again in 2 small groups running in parallel.
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Teilnahmevoraussetzungen |
Enrolment in Master's programme Neurocognitive Psychology. |
Hinweise |
PLEASE NOTE: We strongly recommend to take either psy170, psy270, psy280, or psy220 to gain methodological competencies (EEG, fMRI, TBS, HCI) 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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