Informationen für Gasthörende

Informationen für Gasthörende

Zu erwartende TeilnehmerInnenzahl:
30
Zeit:
Montag: 08:00 - 10:00, wöchentlich (ab 19.10.2020), Ort: (online)
Donnerstag: 08:00 - 10:00, wöchentlich (ab 22.10.2020), Ort: (online)
Termine am Freitag, 12.02.2021 09:00 - 11:00
Ort:
(online)
Montag: 08:00 - 10:00, wöchentlich (14x)
Donnerstag: 08:00 - 10:00, wöchentlich (14x)
Keine Raumangabe
Freitag, 12.02.2021 09:00 - 11:00
Voraussetzungen:
Basic signal processing, algebra knowledge
Angaben zum Inhalt:
This course introduces basic concepts of statistics and signal processing and applies them to real-world examples of bio-medical data. In the second part of the course, recorded datasets are noise-reduced, analyzed, and discussed in views of which statistical tests and analysis methods are appropriate for the underlying data. The course forms a bridge between theory and application and offers the students the means and tools to set up and analyze their future datasets in a meaningful manner. content: Normal distributions and significance testing, Monte-Carlo bootstrap techniques, Linear regression, Correlation, Signal-to-noise estimation, Principal component analysis, Confi-dence intervals, Dipole source analysis, Analysis of variance Each technique is explained, tested and discussed in the exercises.
Lehrsprache:
englisch
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