Stud.IP Uni Oldenburg
University of Oldenburg
27.10.2021 20:49:38
psy240 - Computation in Neuroscience
Department of Psychology 9 KP
Module components Semester courses Wintersemester 2021/2022 Examination
Lecture
  • Limited access 6.02.240_1 - Introduction to scientific programming I Show lecturers
    • Dr. Heiko Stecher
    • Jill von Von Conta

    Tuesday: 12:15 - 13:45, weekly (from 19/10/21)

    38 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
Exercises
  • Limited access 6.02.240_3 - Scientific Programming I Show lecturers
    • Dr. Heiko Stecher
    • Jill von Von Conta

    Tuesday: 14:15 - 15:45, weekly (from 19/10/21)

    38 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.

Tutorial
Notes for the module
Prerequisites
Enrolment in Master's programme Neurocognitive Psychology.
Reference text
Important note:
Passing the exam of psy240 is mandatory for starting a Practical Project (psy260) and the Master's thesis.
Time of examination
exam period at the end of the summer term
Module examination
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).
Skills to be acquired in this module
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

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