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468703-FS2024-0-Methods Course Neuroscience in the Computer Lab





Root number 468703
Semester FS2024
Type of course Exercise
Allocation to subject Neuroscience
Type of exam not defined
Title Methods Course Neuroscience in the Computer Lab
Description In this application-oriented course, students will learn and independently apply methods of data collection, processing and analysis in the field of neuroscience. We will focus on the following topics in particular:
- Programming experiments
- Programming data processing pipelines: data preprocessing and visualisation ("good practices", data cleaning, reproducibility)
- Analysis of different neuroscientific data sets with frequentist as well as Bayesian methods (reaction times, time series, signal detection theory)
- Interpretation and critical classification of analysis results
Students will work with the programming language R (and to a small extent with Python).
The focus of this course is on hands-on sessions in which students directly apply the acquired knowledge. Students will need their own laptop (tablets are not suitable) with approx. 20 GB of free storage space.
Credits will be awarded in the form of exercises.

R knowledge (according to Statistics I-IV in Psychology) is assumed. All students will receive a link for a self-assessment and the corresponding resources approximately 1 month before the start of the course in order to fill any gaps in their self-study before the start of the course.
Students who are not majoring in psychology and need to acquire R knowledge can use the resources below beforehand:
- Visit "Introduction to R: Statistics II Course" - Bachelor Psychology and exercises.
- Resources on programming with R can be found, for example, at https://methodenlehre.github.io/einfuehrung-in-R/, or for advanced students the books "Advanced R" and "R for Data Scientists" by Hadley Wickham: http://adv-r.had.co.nz/ and https://r4ds.had.co.nz/.
Advanced R knowledge will be taught during the course.
ILIAS-Link (Learning resource for course) Registrations are transmitted from CTS to ILIAS (no admission in ILIAS possible). ILIAS
Link to another web site
Lecturers Gerda Cornelia Wyssen, Institute of Psychology, Cognitive Psychology, Perception and Methodology ✉
ECTS 5
Recognition as optional course possible Yes
Grading passed/failed
 
Dates Monday 10:15-12:00 Weekly
 
Rooms Hörraum B 102, Institutsgebäude vonRoll
 
Students please consult the detailed view for complete information on dates, rooms and planned podcasts.