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28.05.2022 22:03:39
psy241 - Computation in Neuroscience (Complete module description)
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Module label Computation in Neuroscience
Module code psy241
Credit points 6.0 KP
Workload 180 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 (Authorized examiners)
Prerequisites
Enrolment in Master's programme Neurocognitive Psychology. Module psy241 is only relevant for students who started their studies before winter term 19/20. (All other students study module psy240.)
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:** [nop] + Neuropsychological / neurophysiological knowledge + experimental methods ++ statistics & scientific programming + critical & analytical thinking + knowledge transfer + group work [/nop]
Module contents
**Part 1: Introduction to scientific programming I (theoretical-practical seminar)** - Basic data types and structures - Flow control (conditions, loops, errors) - Testing and debugging - Functions **Part 2: Introduction to scientific programming II (theoretical-practical seminar)** - Classes and objects - Parallel processing - Frequency analysis methods - EEG processing **Part 3: Scientific programming I (excercise)** - Implementation of examples from part 1 **Part 4: Scientific programming II (exercise)** - Implementation of examples from part 2
Reader's advisory
- 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 be offered every winter term.
Module capacity unlimited
Modullevel / module level MM (Mastermodul / Master module)
Modulart / typ of module Pflicht / Mandatory
Lehr-/Lernform / Teaching/Learning method Part 1: theoretical-practical seminar; Part 2: theoretical-practical seminar; Part 3: excercise; Part 4: excercise; additional tutorials
Vorkenntnisse / Previous knowledge
Course type Comment SWS Frequency Workload of compulsory attendance
Theory-practice seminars
2 semester hours per week for winter and summer term
4 SuSe and WiSe 56
Exercises
1 semester hour per week for winter and summer term.
2 SuSe and WiSe 28
Tutorial
2 semester hours per week in winter and summer term
SuSe and WiSe 0
Total time of attendance for the module 84 h
Examination Time of examination Type of examination
Final exam of module
exam period at the end of the summer term
The participants will have to independently develop and program a solution for a given neuroscientific problem. Both the written code as well as the documentation of the approach taken will be assessed. Bonus for regularly handing in a total of 12 programming exercises.