Informationen für Gasthörende
Zu erwartende TeilnehmerInnenzahl: |
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30 |
Zeit: |
Montag: 08:00 - 10:00, wöchentlich (ab 14.10.2019), Ort: W16A 004 Donnerstag: 08:00 - 10:00, wöchentlich (ab 17.10.2019), Ort: W01 0-008 (Rechnerraum) Termine am Donnerstag, 13.02.2020 08:30 - 10:30, Ort: W16A 004 |
Ort: |
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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 |
Schließen |