neu305 - Essentials of fMRI Data Analysis with SPM and FSL (Veranstaltungsübersicht)

neu305 - Essentials of fMRI Data Analysis with SPM and FSL (Veranstaltungsübersicht)

Department für Neurowissenschaften 6 KP
Modulteile Semesterveranstaltungen Wintersemester 2017/2018 Prüfungsleistung
Seminar
  • Kein Zugang 6.02.275_1S - Essentials of fMRI Data Analysis with SPM and FSL Lehrende anzeigen
    • Riklef Weerda
    • PD Dr. Peter Sörös

    Montag: 16:00 - 18:00, wöchentlich (ab 16.10.2017), Ort: A07 0-031
    Termine am Donnerstag, 12.10.2017 11:00 - 12:00, Montag, 29.01.2018 16:00 - 18:00, Montag, 05.02.2018 16:30 - 18:30, Montag, 09.07.2018 14:00 - 16:00, Ort: A07 0-031, A07 0-030 (Hörsaal G), ((W03 1-152))
    This seminar offers a concise introduction to the basic principles of functional magnetic resonance imaging (fMRI). Students will gain essential knowledge about experimental design, data collection and analysis. Special emphasis will be laid on the statistical background of fMRI data analysis.
Übung
  • Kein Zugang 6.02.275_1E - Essentials of fMRI data analysis with SPM and FSL Lehrende anzeigen
    • Riklef Weerda
    • PD Dr. Peter Sörös

    Mittwoch: 16:00 - 18:00, wöchentlich (ab 18.10.2017)
    Freitag: 14:00 - 16:00, wöchentlich (ab 20.10.2017)
    Freitag: 16:00 - 18:00, wöchentlich (ab 20.10.2017)
    Termine am Donnerstag, 12.10.2017 11:00 - 12:00
    This practical exercise course provides a hands-on introduction to FSL and SPM - two commonly used open source software packages for the analysis of fMRI data.
Hinweise zum Modul
Kapazität/Teilnehmerzahl 40
Prüfungszeiten
December
Prüfungsleistung Modul
witten exam (multiple choice)
In addition, mandatory but ungraded: continuous active participation
Kompetenzziele

+ Neurosci. knowlg.
++ Expt. Methods
+ Independent research
+ Scient. Literature
+ Social skills
+ Interdiscipl. knowlg.
++ Maths/Stats/Progr.
+ Data present./disc.
+ Scientific English
+ Ethics


This module offers a concise introduction to the basic principles of functional magnetic resonance imaging (fMRI). Students will gain essential knowledge about experimental design, data collection and analysis. Special emphasis will be laid on the statistical background of fMRI data analysis and a hands-on introduction to SPM and FSL, two widely-used and free software packages for fMRI data analysis and results visualisation.