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Universität Oldenburg
08.12.2021 07:04:17
phy678 - Processing and analysis of biomedical data (Vollständige Modulbeschreibung)
Originalfassung Englisch PDF Download
Modulbezeichnung Processing and analysis of biomedical data
Modulkürzel phy678
Kreditpunkte 6.0 KP
Workload 180 h
Attendance: 56 hrs, Self study: 124 hrs
Einrichtungsverzeichnis Institut für Physik
Verwendbarkeit des Moduls
  • Master Engineering Physics (Master) > Schwerpunkt: Biomedical Physics
Zuständige Personen
Brand, Thomas (Prüfungsberechtigt)
Ewert, Stephan (Prüfungsberechtigt)
Hohmann, Volker (Prüfungsberechtigt)
Uppenkamp, Stefan (Prüfungsberechtigt)
Poppe, Björn (Modulverantwortung)
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.
Normal distributions and significance testing, Monte Carlo bootstrap techniques, Linear regression, Correlation, Signal-to-noise estimation, Principal component analysis, Confidence intervals, Dipole source analysis, Analysis of variance Each technique is explained, tested and discussed in the exercises.

Kirkwood B.R. and Sterne A.C., Essential Medical Statistics: 2nd editition. Blackwell Science. Oxford, 2003;

Cho, Z.H. and Singh J. P. J.M.: Foundations of Medical Imaging. John Wiley, New York, 1993;

Kutz, J.N. Data-Driven Modeling and Scientific Computation: Methods for complex systems and Big Data. Oxford University Press, Oxford, 2013
Unterrichtssprache Englisch
Dauer in Semestern 1 Semester
Angebotsrhythmus Modul jährlich
Aufnahmekapazität Modul unbegrenzt
Modullevel / module level MM (Mastermodul / Master module)
Modulart / typ of module Wahlpflicht / Elective
Lehr-/Lernform / Teaching/Learning method Lecture: 2hrs/week; Exersise: 2hrs/week
Vorkenntnisse / Previous knowledge
Prüfung Prüfungszeiten Prüfungsform
Max. 180 min. Klausur oder 30 min. mündliche Prüfung oder Präsentation
Lehrveranstaltungsform Vorlesung
Angebotsrhythmus SoSe oder WiSe
Workload Präsenzzeit 56 h