Veranstaltung
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Veranstaltung
Semester:
Wintersemester
2022
5.04.4207 Processing and analysis of biomedical data -
Veranstaltungstermin | Raum
- Montag, 17.10.2022 8:15 - 09:45 | W03 2-240
- Donnerstag, 20.10.2022 8:15 - 09:45 | W01 0-008 (Rechnerraum)
- Montag, 24.10.2022 8:15 - 09:45 | W03 2-240
- Donnerstag, 27.10.2022 8:15 - 09:45 | W01 0-008 (Rechnerraum)
- Donnerstag, 3.11.2022 8:15 - 09:45 | W01 0-008 (Rechnerraum)
- Montag, 7.11.2022 8:15 - 09:45 | W03 2-240
- Donnerstag, 10.11.2022 8:15 - 09:45 | W01 0-008 (Rechnerraum)
- Montag, 14.11.2022 8:15 - 09:45 | W03 2-240
- Donnerstag, 17.11.2022 8:15 - 09:45 | W01 0-008 (Rechnerraum)
- Montag, 21.11.2022 8:15 - 09:45 | W03 2-240
- Donnerstag, 24.11.2022 8:15 - 09:45 | W01 0-008 (Rechnerraum)
- Montag, 28.11.2022 8:15 - 09:45 | W03 2-240
- Donnerstag, 1.12.2022 8:15 - 09:45 | W01 0-008 (Rechnerraum)
- Montag, 5.12.2022 8:15 - 09:45 | W03 2-240
- Donnerstag, 8.12.2022 8:15 - 09:45 | W01 0-008 (Rechnerraum)
- Montag, 12.12.2022 8:15 - 09:45 | W03 2-240
- Donnerstag, 15.12.2022 8:15 - 09:45 | W01 0-008 (Rechnerraum)
- Montag, 19.12.2022 8:15 - 09:45 | W03 2-240
- Donnerstag, 22.12.2022 8:15 - 09:45 | W01 0-008 (Rechnerraum)
- Montag, 9.1.2023 8:15 - 09:45 | W03 2-240
- Donnerstag, 12.1.2023 8:15 - 09:45 | W01 0-008 (Rechnerraum)
- Montag, 16.1.2023 8:15 - 09:45 | W03 2-240
- Donnerstag, 19.1.2023 8:15 - 09:45 | W01 0-008 (Rechnerraum)
- Montag, 23.1.2023 8:15 - 09:45 | W03 2-240
- Donnerstag, 26.1.2023 8:15 - 09:45 | W01 0-008 (Rechnerraum)
- Montag, 30.1.2023 8:15 - 09:45 | W03 2-240
- Donnerstag, 2.2.2023 8:15 - 09:45 | W01 0-008 (Rechnerraum)
- Montag, 20.2.2023 8:00 - 10:00 | W01 0-015
Beschreibung
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.
Lehrende
Studienbereiche
- olt707 - Additional module „Specific knowledge”
- Studium generale / Gasthörstudium
SWS
4
Lehrsprache
englisch
Für Gasthörende / Studium generale geöffnet:
Ja
Hinweise zum Inhalt der Veranstaltung für Gasthörende
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.