Lecture: 5.04.4207 Processing and analysis of biomedical data - Details

Lecture: 5.04.4207 Processing and analysis of biomedical data - Details

General information

Course name Lecture: 5.04.4207 Processing and analysis of biomedical data
Subtitle
Course number 5.04.4207
Semester Wise19/20
Current number of participants 19
expected number of participants 30
Home institute Institute of Physics
Courses type Lecture in category Teaching
First date Monday, 14.10.19, 08:00 - 10:00 o'clock W16A 004
Type/Form V, Ü
Pre-requisites Basic signal processing, algebra knowledge
Performance record Exam or presentation or oral exam or homework or practical report
Lehrsprache englisch
Info-Link http://www.uni-oldenburg.de/fileadmin/user_upload/physik/PDF/Modulhandbuecher/Modulhandbuch_Fach-Master_Physik_2015_WS.pdf#page=105
ECTS points 6

Rooms and times

W16A 004

  • Monday, 08:00 - 10:00, Weekly (from 14.10.19)
  • Thursday, 13.02.20, 08:30 - 10:30 o'clock

W01 0-008 (Rechnerraum)

  • Thursday, 08:00 - 10:00, Weekly (from 17.10.19)

Module assignments

Comment/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.

Admission settings

The course is part of admission "Anmeldung gesperrt (global)".
Erzeugt durch den Stud.IP-Support
The following rules apply for the admission:
  • Admission locked.