Universität Wien

200147 SE Seminar in Applied Psychology: Mind and Brain (2020W)

Data analyses for fMRI experiments

4.00 ECTS (2.00 SWS), SPL 20 - Psychologie
Continuous assessment of course work

Dieses Anwendungsseminar kann für alle Schwerpunkte absolviert werden.

Anwendungsseminare können nur fürs Pflichtmodul B verwendet werden! Eine Verwendung fürs Modul A4 Freie Fächer ist nicht möglich.

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 20 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

All lectures will also be available in digital format. Theoretical sessions (physical presence required if possible) will alternate with practical online sessions.

Friday 02.10. 11:30 - 13:00 Hörsaal C Psychologie, NIG 6.Stock A0618
Friday 09.10. 11:30 - 13:00 Hörsaal C Psychologie, NIG 6.Stock A0618
Friday 16.10. 11:30 - 13:00 Hörsaal C Psychologie, NIG 6.Stock A0618
Friday 23.10. 11:30 - 13:00 Hörsaal C Psychologie, NIG 6.Stock A0618
Friday 30.10. 11:30 - 13:00 Hörsaal C Psychologie, NIG 6.Stock A0618
Friday 06.11. 11:30 - 13:00 Hörsaal C Psychologie, NIG 6.Stock A0618
Friday 13.11. 11:30 - 13:00 Hörsaal C Psychologie, NIG 6.Stock A0618
Friday 20.11. 11:30 - 13:00 Hörsaal C Psychologie, NIG 6.Stock A0618
Friday 27.11. 11:30 - 13:00 Hörsaal C Psychologie, NIG 6.Stock A0618
Friday 04.12. 11:30 - 13:00 Hörsaal C Psychologie, NIG 6.Stock A0618
Friday 11.12. 11:30 - 13:00 Hörsaal C Psychologie, NIG 6.Stock A0618
Friday 18.12. 11:30 - 13:00 Hörsaal C Psychologie, NIG 6.Stock A0618
Friday 08.01. 11:30 - 13:00 Hörsaal C Psychologie, NIG 6.Stock A0618
Friday 15.01. 11:30 - 13:00 Hörsaal C Psychologie, NIG 6.Stock A0618
Friday 22.01. 11:30 - 13:00 Hörsaal C Psychologie, NIG 6.Stock A0618
Friday 29.01. 11:30 - 13:00 Hörsaal C Psychologie, NIG 6.Stock A0618

Information

Aims, contents and method of the course

The course will teach the basics of data analyses for fMRI studies with a focus on preprocessing (using different tools such as FSL) as well as further analyses of resting state data. The course will also give a short introduction to batch scripts.

Assessment and permitted materials

Grades will be depending on in-class participation and assignments.

Minimum requirements and assessment criteria

Interest in neuroimaging, data analyses, and coding. However, the course does not require previous experience. English is a requirement.

Examination topics

Reading list


Association in the course directory

Last modified: We 21.06.2023 00:18