Event
The dates and events shown here are dynamically displayed from Stud.IP.
Therefore, if you have any questions, please contact the person listed under the item Lehrende/DozentIn (Lecturers) directly.
Event
Semester:
Winter term
2023
5.04.4207 Processing and analysis of biomedical data -
Event date(s) | room
- Montag, 16.10.2023 8:00 - 10:00 | W03 2-240
- Donnerstag, 19.10.2023 8:00 - 10:00 | W01 0-008 (Rechnerraum)
- Montag, 23.10.2023 8:00 - 10:00 | W03 2-240
- Donnerstag, 26.10.2023 8:00 - 10:00 | W01 0-008 (Rechnerraum)
- Montag, 30.10.2023 8:00 - 10:00 | W03 2-240
- Donnerstag, 2.11.2023 8:00 - 10:00 | W01 0-008 (Rechnerraum)
- Montag, 6.11.2023 8:00 - 10:00 | W03 2-240
- Donnerstag, 9.11.2023 8:00 - 10:00 | W01 0-008 (Rechnerraum)
- Montag, 13.11.2023 8:00 - 10:00 | W03 2-240
- Donnerstag, 16.11.2023 8:00 - 10:00 | W01 0-008 (Rechnerraum)
- Montag, 20.11.2023 8:00 - 10:00 | W03 2-240
- Donnerstag, 23.11.2023 8:00 - 10:00 | W01 0-008 (Rechnerraum)
- Montag, 27.11.2023 8:00 - 10:00 | W03 2-240
- Donnerstag, 30.11.2023 8:00 - 10:00 | W01 0-008 (Rechnerraum)
- Montag, 4.12.2023 8:00 - 10:00 | W03 2-240
- Donnerstag, 7.12.2023 8:00 - 10:00 | W01 0-008 (Rechnerraum)
- Montag, 11.12.2023 8:00 - 10:00 | W03 2-240
- Donnerstag, 14.12.2023 8:00 - 10:00 | W01 0-008 (Rechnerraum)
- Montag, 18.12.2023 8:00 - 10:00 | W03 2-240
- Donnerstag, 21.12.2023 8:00 - 10:00 | W01 0-008 (Rechnerraum)
- Montag, 8.1.2024 8:00 - 10:00 | W03 2-240
- Donnerstag, 11.1.2024 8:00 - 10:00 | W01 0-008 (Rechnerraum)
- Montag, 15.1.2024 8:00 - 10:00 | W03 2-240
- Donnerstag, 18.1.2024 8:00 - 10:00 | W01 0-008 (Rechnerraum)
- Montag, 22.1.2024 8:00 - 10:00 | W03 2-240
- Donnerstag, 25.1.2024 8:00 - 10:00 | W01 0-008 (Rechnerraum)
- Montag, 29.1.2024 8:00 - 10:00 | W03 2-240
- Donnerstag, 1.2.2024 8:00 - 10:00 | W01 0-008 (Rechnerraum)
- Donnerstag, 15.2.2024 9:00 - 12:00 | W02 1-148
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
deutsch
Für Gasthörende / Studium generale geöffnet:
Ja
Hinweise zum Inhalt der Veranstaltung für Gasthörende
his 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.