psy275 - Essentials of fMRI Data Analysis with SPM and FSL (Veranstaltungsübersicht) - Campusmanagementsystem Stud.IP

psy275 - Essentials of fMRI Data Analysis with SPM and FSL (Veranstaltungsübersicht)

Department für Psychologie

6 KP

Modulteile

Semesterveranstaltungen Wintersemester 2018/2019

Prüfungsleistung

Seminar

6.02.275_1S - Essentials of fMRI Data Analysis with SPM and FSL
- Riklef Weerda
- PD Dr. Peter Sörös
Montag: 16:00 - 18:00, wöchentlich (ab 15.10.2018), Ort: A07 0-031
Termine am Montag, 28.01.2019 16:00 - 18:00, Donnerstag, 07.02.2019 10:00 - 12:00, Dienstag, 16.07.2019 14:00 - 16:00, Ort: A07 0-031, A07 0-030 (Hörsaal G)
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

6.02.275_1E - Essentials of fMRI data analysis with SPM and FSL
- Riklef Weerda
- PD Dr. Peter Sörös
Mittwoch: 16:00 - 18:00, wöchentlich (ab 17.10.2018)
Freitag: 14:00 - 16:00, wöchentlich (ab 19.10.2018)
Freitag: 16:00 - 18:00, wöchentlich (ab 19.10.2018)

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

Teilnahmevoraussetzungen	Enrolment in Master’s programme Neurocognitive Psychology, 3rd semester or higher.
Hinweise	PLEASE NOTE: We strongly recommend to take either psy170, psy270, psy275, psy280, or psy220 to gain methodological competencies (EEG, fMRI, TBS, HCI) that are needed for most practical projects and Master's theses!
Kapazität/Teilnehmerzahl	20
Prüfungszeiten	end of winter term
Prüfungsleistung Modul	written exam
Kompetenzziele	[nop]+ Neuropsychological / neurophysiological knowledge + interdisciplinary knowledge & thinking ++ experimental methods ++ statistics & scientific programming + data presentation & discussion + independent research + scientific literature + ethics / good scientific practice / professional behaviour + critical & analytical thinking + group work [/nop] 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.