Event
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Event
Semester:
Winter term
2017
5.04.4207 Processing and analysis of biomedical data -
Event date(s) | room
- Montag, 16.10.2017 8:00 - 10:00 | W15 1-146
- Donnerstag, 19.10.2017 8:00 - 10:00 | W01 0-008 (Rechnerraum)
- Montag, 23.10.2017 8:00 - 10:00 | W15 1-146
- Donnerstag, 26.10.2017 8:00 - 10:00 | W01 0-008 (Rechnerraum)
- Montag, 30.10.2017 8:00 - 10:00 | W15 1-146
- Donnerstag, 2.11.2017 8:00 - 10:00 | W01 0-008 (Rechnerraum)
- Montag, 6.11.2017 8:00 - 10:00 | W15 1-146
- Donnerstag, 9.11.2017 8:00 - 10:00 | W01 0-008 (Rechnerraum)
- Montag, 13.11.2017 8:00 - 10:00 | W15 1-146
- Donnerstag, 16.11.2017 8:00 - 10:00 | W01 0-008 (Rechnerraum)
- Montag, 20.11.2017 8:00 - 10:00 | W15 1-146
- Donnerstag, 23.11.2017 8:00 - 10:00 | W01 0-008 (Rechnerraum)
- Montag, 27.11.2017 8:00 - 10:00 | W15 1-146
- Donnerstag, 30.11.2017 8:00 - 10:00 | W01 0-008 (Rechnerraum)
- Montag, 4.12.2017 8:00 - 10:00 | W15 1-146
- Donnerstag, 7.12.2017 8:00 - 10:00 | W01 0-008 (Rechnerraum)
- Montag, 11.12.2017 8:00 - 10:00 | W15 1-146
- Donnerstag, 14.12.2017 8:00 - 10:00 | W01 0-008 (Rechnerraum)
- Montag, 8.1.2018 8:00 - 10:00 | W15 1-146
- Donnerstag, 11.1.2018 8:00 - 10:00 | W01 0-008 (Rechnerraum)
- Montag, 15.1.2018 8:00 - 10:00 | W15 1-146
- Donnerstag, 18.1.2018 8:00 - 10:00 | W01 0-008 (Rechnerraum)
- Montag, 22.1.2018 8:00 - 10:00 | W15 1-146
- Donnerstag, 25.1.2018 8:00 - 10:00 | W01 0-008 (Rechnerraum)
- Montag, 29.1.2018 8:00 - 10:00 | W15 1-146
- Donnerstag, 1.2.2018 8:00 - 10:00 | W01 0-008 (Rechnerraum)
- Mittwoch, 7.2.2018 9:00 - 12:00 | W02 1-148
Description
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.
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
- Thomas Brand
- Dr. Stefan Uppenkamp, Dipl.-Phys.
- Prof. Dr. Volker Hohmann, Dipl.-Phys.
- Dr. Stephan Ewert, Dipl.-Phys.
Tutor
Study fields
- Studium generale / Gasthörstudium
SWS
4
Lehrsprache
englisch
Für Gasthörende / Studium generale geöffnet:
Ja