neu715 - Neuroscientific Data Analysis in Python (Vollständige Modulbeschreibung)
Modulbezeichnung | Neuroscientific Data Analysis in Python |
Modulkürzel | neu715 |
Kreditpunkte | 6.0 KP |
Workload | 180 h |
Einrichtungsverzeichnis | Department für Neurowissenschaften |
Verwendbarkeit des Moduls |
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Zuständige Personen |
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Teilnahmevoraussetzungen | Enrolment in Master program Neuroscience |
Kompetenzziele | Goals of this module: upon completion of this module, students…
+ Neuroscience knowledge |
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:
With completing the seven tasks, each participant programs a set of common analysis methods for neuroscientific 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 Python and analysis methods for neuroscientific data. |
Literaturempfehlungen | Literature will be available in Stud.IP |
Links | |
Unterrichtssprache | Englisch |
Dauer in Semestern | 1 Semester |
Angebotsrhythmus Modul | Annually, first half of winter term |
Aufnahmekapazität Modul | 25 |
Modulart | Wahlpflicht / Elective |
Modullevel | EB (Ergänzungsbereich / Complementary) |
Lehrveranstaltungsform | Kommentar | SWS | Angebotsrhythmus | Workload Präsenz |
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Vorlesung | 2 | WiSe | 28 | |
Übung | 2 | WiSe | 28 | |
Präsenzzeit Modul insgesamt | 56 h |
Prüfung | Prüfungszeiten | Prüfungsform |
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Gesamtmodul | During the course |
Portfolio, consisting of 7 weekly programming and interpretation tasks |