Informationen für Gasthörende
| Zu erwartende TeilnehmerInnenzahl: |
|---|
| 30 |
| Zeit: |
| Montag: 08:15 - 09:45, wöchentlich (ab 17.10.2022), Ort: W03 2-240 Donnerstag: 08:15 - 09:45, wöchentlich (ab 20.10.2022), Ort: W01 0-008 (Rechnerraum) Termine am Montag, 20.02.2023 08:00 - 10:00, Ort: W01 0-015 |
| 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 |
