Stud.IP Uni Oldenburg
Universität Oldenburg
02.08.2021 18:32:19
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: Acoustics
  • Master Engineering Physics (Master) > Schwerpunkt: Biomedical Physics
Zuständige Personen
Brand, Thomas (Prüfungsberechtigt)
Ewert, Stephan (Prüfungsberechtigt)
Hohmann, Volker (Prüfungsberechtigt)
Uppenkamp, Stefan (Prüfungsberechtigt)
Poppe, Björn (Modulverantwortung)
Teilnahmevoraussetzungen
Basic signal processing, algebra knowledge
Kompetenzziele
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.
Modulinhalte
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.
Literaturempfehlungen
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
Links
Unterrichtssprache Englisch
Dauer in Semestern 1 Semester
Angebotsrhythmus Modul Wintersemester
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
Gesamtmodul
Exam or presentation or oral exam or homework or practical report
Lehrveranstaltungsform Vorlesung
SWS 4
Angebotsrhythmus Sose oder WiSe
Workload Präsenzzeit 56 h