psy240 - Computation in Neuroscience (Complete module description)

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07.12.2023 16:53:42

Module label	Computation in Neuroscience
Module abbreviation	psy240
Credit points	9.0 KP
Workload	270 h
Institute directory	Department of Psychology
Applicability of the module	Master's Programme Neurocognitive Psychology (Master) > Mastermodule
Responsible persons	Stecher, Heiko (module responsibility) Stecher, Heiko (Prüfungsberechtigt)
Prerequisites	Enrolment in Master's programme Neurocognitive Psychology.
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
Module contents	Part 1: Introduction to scientific programming I (lecture): winter Basic data types and structures Flow control (conditions, loops, errors) Testing and debugging Functions Part 2: Introduction to scientific programming II (lecture): summer Complex data structures EEG processing Frequency analysis methods Introduction to toolboxes Part 3: Scientific programming I (excercise): winter Implementation of examples from part 1 Part 4: Scientific programming II (exercise): summer Implementation of examples from part 2 Part 5: Computer-controlled experimentation (seminar): summer Computer hardware basics Scripting and programming experiments Combining stimulus delivery with EEG, Eyetracking, etc. Temporal precision
Recommended reading	Mathworks (2009): MATLAB online documentation Wallisch P., et al. (2009): MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB. Elsevier/Academic
Links
Language of instruction	English
Duration (semesters)	2 Semester
Module frequency	The module will start every winter term.
Module capacity	unlimited
Reference text	Important note: Passing the exam of psy240 is mandatory for starting a Practical Project (psy260) and the Master's thesis.
Module level	MM (Mastermodul / Master module)
Type of module	Pflicht / Mandatory
Teaching/Learning method	Part 1 and 2: lectures; Part 3 and 4: excercises; Part 5: seminar; additional tutorials
Previous knowledge

Type of course	Comment	SWS	Frequency	Workload of compulsory attendance
Lecture	2h/week in winter and summer term	4	SoSe und WiSe	56
Seminar		2	SoSe	28
Exercises	1h/week in winter and summer term	2	SoSe und WiSe	28
Tutorial	voluntary		SoSe und WiSe	0
Total module attendance time				112 h

Examination	Examination times	Type of examination
Final exam of module	exam period at the end of the summer term	In a 120-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. Students need to hand in 1-2 programming tasks in the exercises to be allowed to take part in the exam. Required active participation for gaining credits: script for the presentation of experimental stimuli in part 5 attendance of at least 70% in the seminar 'computer-controlled experimentation', part 5 within one semester (will be checked in StudIP).