psy270 - Functional MRI Data Analysis (Veranstaltungsübersicht)

psy270 - Functional MRI Data Analysis (Veranstaltungsübersicht)

Department für Psychologie 9 KP
Semesterveranstaltungen Sommersemester 2018
Lehrveranstaltungsform: Seminar
  • Kein Zugang 6.02.270 - Functional MRI data analysis Lehrende anzeigen
    • Dr. rer. nat. Carsten Gießing
    • Prof. Dr. Christiane Margarete Thiel

    Montag: 12:00 - 14:00, wöchentlich (ab 28.05.2018), Ort: A07 0-031
    Mittwoch: 14:00 - 16:00, wöchentlich (ab 30.05.2018), Ort: A07 0-031
    Freitag: 10:00 - 12:00, wöchentlich (ab 01.06.2018), Ort: A07 0-031
    Freitag: 12:00 - 14:00, wöchentlich (ab 01.06.2018), Ort: A07 0-031
    Termine am Montag, 09.07.2018 12:00 - 14:00, Mittwoch, 11.07.2018 14:00 - 16:00, Freitag, 13.07.2018 10:00 - 12:00, Freitag, 13.07.2018 12:00 - 14:00, Ort: A07 0-031, A07 0-030 (Hörsaal G)
Hinweise zum Modul
Teilnahmevoraussetzungen

Enrolment in Master's programme Neurocognitive Psychology, Neuroscience, or Biology.

Hinweise

Since the module is primarily offered for the Master's programme Biology it has to be offered as
a blocked course. Please contact us if you are interested in the module but have problems with
interfering other courses.

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 15 (

The remaining places are reserved for Biology and Neuroscience students.

)
Prüfungszeiten

middle of summer term

Prüfungsleistung Modul

Oral or written examination

Required active participation for gaining credits:
1-2 presentations
participation in discussions on other presentations
attendance of at least 70% in the seminars and exercises within one semester (will be checked in StudIP).

Kompetenzziele

Goals of module:
Students will learn the basics about planning and performing a neuroimaging study. They will
focus on the statistical and methodological background of functional neuroimaging data analysis
and analyse a sample functional MRI data set.

Competencies:
++ experimental methods
++ statistics & scientific programming
+ data presentation & discussion
++ group work