Event

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Event

Semester: Winter term 2024

5.04.4207 Processing and analysis of biomedical data -  


Event date(s) | room

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.

Lecturers

Study fields

  • olt707 - Additional module „Specific knowledge”

SWS
4

Art der Lehre
Ausschließlich Präsenz

Lehrsprache
deutsch

(Changed: 20 Jun 2024)  | 
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