Event
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Therefore, if you have any questions, please contact the person listed under the item Lehrende/DozentIn (Lecturers) directly.
Event
Semester:
Winter term
2020
5.04.4207 Processing and analysis of biomedical data -
Event date(s) | room
- Montag, 19.10.2020 8:00 - 10:00 | online
- Donnerstag, 22.10.2020 8:00 - 10:00 | online
- Montag, 26.10.2020 8:00 - 10:00 | online
- Donnerstag, 29.10.2020 8:00 - 10:00 | online
- Montag, 2.11.2020 8:00 - 10:00 | online
- Donnerstag, 5.11.2020 8:00 - 10:00 | online
- Montag, 9.11.2020 8:00 - 10:00 | online
- Donnerstag, 12.11.2020 8:00 - 10:00 | online
- Montag, 16.11.2020 8:00 - 10:00 | online
- Donnerstag, 19.11.2020 8:00 - 10:00 | online
- Montag, 23.11.2020 8:00 - 10:00 | online
- Donnerstag, 26.11.2020 8:00 - 10:00 | online
- Montag, 30.11.2020 8:00 - 10:00 | online
- Donnerstag, 3.12.2020 8:00 - 10:00 | online
- Montag, 7.12.2020 8:00 - 10:00 | online
- Donnerstag, 10.12.2020 8:00 - 10:00 | online
- Montag, 14.12.2020 8:00 - 10:00 | online
- Donnerstag, 17.12.2020 8:00 - 10:00 | online
- Montag, 21.12.2020 8:00 - 10:00 | online
- Donnerstag, 7.1.2021 8:00 - 10:00 | online
- Montag, 11.1.2021 8:00 - 10:00 | online
- Donnerstag, 14.1.2021 8:00 - 10:00 | online
- Montag, 18.1.2021 8:00 - 10:00 | online
- Donnerstag, 21.1.2021 8:00 - 10:00 | online
- Montag, 25.1.2021 8:00 - 10:00 | online
- Donnerstag, 28.1.2021 8:00 - 10:00 | online
- Montag, 1.2.2021 8:00 - 10:00 | online
- Donnerstag, 4.2.2021 8:00 - 10:00 | online
- Freitag, 12.2.2021 9:00 - 11:00
Description
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.
Lecturers
Study fields
- 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.