Stud.IP Uni Oldenburg
Universität Oldenburg
07.12.2021 01:22:36
psy240 - Computation in Neuroscience (Veranstaltungsübersicht)
Department für Psychologie 9 KP
Modulteile Semesterveranstaltungen Wintersemester 2021/2022 Prüfungsleistung
Vorlesung
  • Eingeschränkter Zugang 6.02.240_1 - Introduction to scientific programming I Lehrende anzeigen
    • Dr. Heiko Stecher
    • Jill von Von Conta

    Dienstag: 12:15 - 13:45, wöchentlich (ab 19.10.2021)

    hybrid 55 students can attend in presence, the others can attend online. For participation in presence, you need to register for each session you want to attend by signing up to the respective group.

Seminar
Übung
  • Eingeschränkter Zugang 6.02.240_3 - Scientific Programming I Lehrende anzeigen
    • Dr. Heiko Stecher
    • Jill von Von Conta

    Dienstag: 14:15 - 15:45, wöchentlich (ab 19.10.2021)

    hybrid 55 students can attend in presence, the others can attend online. For participation in presence, you need to register for each session you want to attend by signing up to the respective group.

Tutorium
Hinweise zum Modul
Teilnahmevoraussetzungen
Enrolment in Master's programme Neurocognitive Psychology.
Hinweise
Important note:
Passing the exam of psy240 is mandatory for starting a Practical Project (psy260) and the Master's thesis.
Prüfungszeiten
exam period at the end of the summer term
Prüfungsleistung Modul
In a 90-minute written exam the participants will have to program MATLAB-scripts for a selection of neuroscientific data-analysis problems, demonstrating their skills in the different topics. The scripts and comments will be written on university-provided laptops and handed in via email or USB-drive.

Required active participation for gaining credits:
script for the presentation of experimental stimuli in part 5
attendance of at least 70% in the seminar 'Presentation', part 5 (use attendance sheet that will be handed out in the beginning of the term).
Kompetenzziele
Goals of module:
Students will acquire scientific programming skills as well as specific knowledge of
computational methods in neuroscience and cognition. They will learn to judge the
appropriateness and complexity of computational problems and solutions.


Competencies:
+ Neuropsychological / neurophysiological knowledge
+ experimental methods
++ statistics & scientific programming
+ critical & analytical thinking
+ knowledge transfer
+ group work