neu710 - Neuroscientific Data Analysis in Matlab (Vollständige Modulbeschreibung)
Modulbezeichnung | Neuroscientific Data Analysis in Matlab |
Modulkürzel | neu710 |
Kreditpunkte | 6.0 KP |
Workload | 180 h
( 180 h 2 SWS Supervised exercise (UE) |
Einrichtungsverzeichnis | Department für Neurowissenschaften |
Verwendbarkeit des Moduls |
|
Zuständige Personen |
|
Teilnahmevoraussetzungen | |
Kompetenzziele | + Neurosci. knowlg. Upon successful completion of this course, students
|
Modulinhalte | In each of the seven weeks, one or two specific topics are introduced in the lecture, practiced in the exercises and applied to electrophysiological data in a programming task: Matlab basics: Matlab windows, work space, vectors & matrices, saving & loading, graphics, scripts, functions
With completing the seven tasks, each participant develops a toolbox of the most common analysis methods for electrophysiological (spike and continuous) data. In addition to writing and commenting code, the programs are applied to experimental data. The tasks include questions about the interpretation of these analysis results. Hence, the goal of this module is two-fold: Learning the programming language Matlab and analysis methods for electrophysiological data. |
Literaturempfehlungen | Pascal Wallisch: MATLAB for Neuroscientists, Elsevier, Oxford |
Links | |
Unterrichtssprache | Englisch |
Dauer in Semestern | 1 Semester |
Angebotsrhythmus Modul | annually, winter term |
Aufnahmekapazität Modul | 24 |
Modulart | je nach Studiengang Pflicht oder Wahlpflicht |
Modullevel | MM (Mastermodul / Master module) |
Vorkenntnisse | basic knowledge of math and statistics |
Lehrveranstaltungsform | Kommentar | SWS | Angebotsrhythmus | Workload Präsenz |
---|---|---|---|---|
Vorlesung | 1 | 14 | ||
Übung | 2 | 28 | ||
Seminar | 1 | 14 | ||
Präsenzzeit Modul insgesamt | 56 h |
Prüfung | Prüfungszeiten | Prüfungsform |
---|---|---|
Gesamtmodul | during the course |
practical exercise - hand in code and interpretation each week |