Stud.IP Uni Oldenburg
Universität Oldenburg
08.12.2021 16:36:30
phy731 - Wahlpflicht Theorie (Veranstaltungsübersicht)
Institut für Physik 6 KP
Modulteile Semesterveranstaltungen Wintersemester 2021/2022 Prüfungsleistung
Vorlesung
  • Uneingeschränkter Zugang 5.04.4207 - Processing and analysis of biomedical data Lehrende anzeigen
    • PD Dr. Thomas Brand
    • PD Dr. Stefan Uppenkamp, Dipl.-Phys.
    • Dr. Stephan Ewert, Dipl.-Phys.

    Montag: 08:00 - 10:00, wöchentlich (ab 18.10.2021)
    Donnerstag: 08:00 - 10:00, wöchentlich (ab 21.10.2021)

    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.

Übung
  • Uneingeschränkter Zugang 5.04.4207 - Processing and analysis of biomedical data Lehrende anzeigen
    • PD Dr. Thomas Brand
    • PD Dr. Stefan Uppenkamp, Dipl.-Phys.
    • Dr. Stephan Ewert, Dipl.-Phys.

    Montag: 08:00 - 10:00, wöchentlich (ab 18.10.2021)
    Donnerstag: 08:00 - 10:00, wöchentlich (ab 21.10.2021)

    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.

Hinweise zum Modul
Teilnahmevoraussetzungen
Bachelor in Physik, Technik und Medizin oder entsprechender Abschluss
Prüfungsleistung Modul
Klausur (max. 180 Min.) oder mündliche Prüfung (30 Min.) oder Referat (30 Min.) oder Hausarbeit
Kompetenzziele
Theoretische Voraussetzungen für numerische und analytische Modellierung komplexer Vorgänge in der Medizin, Biologie und Biophysik erlangen, um Forschungs-Methoden und -Gegenstände des Exzellenzcluster Hearing4all im Modellierungsbereich anwenden zu können. Spezielle Kompetenzen abhängig von der gewählten Veranstaltung