Veranstaltung
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Daher kontaktieren Sie bei Fragen bitte direkt die Person, die unter dem Punkt Lehrende/Dozierende steht.
Veranstaltung
Semester:
Wintersemester
2021
5.04.4207 Processing and analysis of biomedical data -
Veranstaltungstermin | Raum
- Montag, 18.10.2021 8:00 - 10:00 | online
- Donnerstag, 21.10.2021 8:00 - 10:00 | online
- Montag, 25.10.2021 8:00 - 10:00 | online
- Donnerstag, 28.10.2021 8:00 - 10:00 | online
- Montag, 1.11.2021 8:00 - 10:00 | online
- Donnerstag, 4.11.2021 8:00 - 10:00 | online
- Montag, 8.11.2021 8:00 - 10:00 | online
- Donnerstag, 11.11.2021 8:00 - 10:00 | online
- Montag, 15.11.2021 8:00 - 10:00 | online
- Donnerstag, 18.11.2021 8:00 - 10:00 | online
- Montag, 22.11.2021 8:00 - 10:00 | online
- Donnerstag, 25.11.2021 8:00 - 10:00 | online
- Montag, 29.11.2021 8:00 - 10:00 | online
- Donnerstag, 2.12.2021 8:00 - 10:00 | online
- Montag, 6.12.2021 8:00 - 10:00 | online
- Donnerstag, 9.12.2021 8:00 - 10:00 | online
- Montag, 13.12.2021 8:00 - 10:00 | online
- Donnerstag, 16.12.2021 8:00 - 10:00 | online
- Montag, 20.12.2021 8:00 - 10:00 | online
- Donnerstag, 6.1.2022 8:00 - 10:00 | online
- Montag, 10.1.2022 8:00 - 10:00 | online
- Donnerstag, 13.1.2022 8:00 - 10:00 | online
- Montag, 17.1.2022 8:00 - 10:00 | online
- Donnerstag, 20.1.2022 8:00 - 10:00 | online
- Montag, 24.1.2022 8:00 - 10:00 | online
- Donnerstag, 27.1.2022 8:00 - 10:00 | online
- Montag, 31.1.2022 8:00 - 10:00 | online
- Donnerstag, 3.2.2022 8:00 - 10:00 | online
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.