phy685 - Advanced Engineering Topics in Biomedical Physics & Acoustics

phy685 - Advanced Engineering Topics in Biomedical Physics & Acoustics

Institute of Physics 6 KP
module responsibility
  • Simon Doclo
  • Björn Poppe
Prüfungsberechtigt
  • Jörn Anemüller
  • Svend-Age Biehs
  • Matthias Blau
  • Thomas Brand
  • Mathias Dietz
  • Simon Doclo
  • Gerald Enzner
  • Stephan Ewert
  • Volker Hohmann
  • Birger Kollmeier
  • Jörg Lücke
  • Bernd Meyer
  • Björn Poppe
  • Stephan Töpken
  • Stefan Uppenkamp
  • Steven van de Par
  • Jörg Bitzer
Module components Semester courses Summer semester 2025 Examination
Lecture
  • Unlimited access 5.04.3300 a - Radiooncology for Medical Physicists I Show lecturers
    • Prof. Dr. Björn Poppe
    • Dr. Ping Jiang

    The course times are not decided yet.
    In this lecture the basic background of Radiooncology for Medical Physics will be covered. The lecture will be held at the Pius-Hospital Oldenburg in several blocks. Detailed schedule will be announced in May,

  • Limited access 6.03.250 - Computational Neuroscience - Statistical Learning Show lecturers
    • Prof. Dr. Jochem Rieger
    • PD Dr. Jörn Anemüller
    • Leo Michalke
    • Jessica Jurado Garcia

    Dates on Monday, 26.05.2025 - Friday, 30.05.2025, Monday, 02.06.2025 - Friday, 06.06.2025, Monday, 09.06.2025 - Friday, 13.06.2025 09:00 - 16:00
Seminar
  • Unlimited access 5.04.4022 - Neurophysik - Neurokognition Show lecturers
    • Prof. Dr. Stefan Uppenkamp, Dipl.-Phys.

    Tuesday: 16:00 - 18:00, weekly (from 08/04/25)

    Die Studierenden erlangen fundierte Kenntnisse in der biomedizinischen Physik mit Überblick über die (Neuro)-Physiologie, erwerben Fertigkeiten zur selbständigen Vertiefung diese Fachkenntnisse und erwerben Kompetenzen für eine Anwendung dieser Fachkenntnisse im Rahmen von Facharbeiten und Projekten in verschiedenen Bereichen der Neurosensorik. Inhalte: Anatomie, Physiologie und Pathophysiologie des Zentralen Nervensystems, Physiologie von Neuronen, Neuronenmodelle, Modelle von Neuronenverbänden und neuronaler Netze, Neuronale Kodierung und Merkmalsextraktion, Neurosensorik (Methoden, Experimente und Modelle neurosensorischer Verarbeitung), Neurokognition (Methoden, Experimente und Modelle neuronaler Verarbeitung bei kognitiven Funktionen), höhere Hirnfunktionen (Handlungssteuerung, Emotionen,...) , aktuelle Forschungsansätze in der Neurokognition aus Sicht der Physik.

  • Limited access 5.04.4208 - Oberseminar Signal- und Sprachverarbeitung Show lecturers
    • Prof. Dr. Simon Doclo

    Monday: 10:00 - 12:00, weekly (from 07/04/25)
    Dates on Friday, 20.06.2025 10:00 - 12:00

    Aktuelle Forschungsarbeiten aus folgenden Gebieten der Signal- und Sprachverarbeitung: Ein- und mehrkanalige Sprachverbesserung, Sensornetzwerke, Sprachmodellierung, Sprachtechnologie, Signalverarbeitung für Hörgeräte und Multimedia.

  • Unlimited access 5.04.4210 - Oberseminar Akustik Show lecturers
    • Stephan Töpken
    • Siegfried Gündert
    • Prof. Dr. Steven van de Par

    Thursday: 14:00 - 16:00, weekly (from 10/04/25)

  • Unlimited access 5.04.4212 - Current Topics in Machine Learning and its Applications Show lecturers
    • Prof. Dr. Jörg Lücke
    • Yidi Ke
    • Jan Warnken

    Wednesday: 14:00 - 16:00, weekly (from 09/04/25)

    The students will learn the current research directions and challenges of the Machine Learning research field. By presenting examples from Machine Learning algorithms applied to sensory data tasks including task in Computer Hearing and Computer Vision the students will be taught the current strengths and weaknesses of different approaches. The presentations of current research papers by the participants will make use of computers and projectors. Programming examples and animations will be used to support the interactive component of the presentations. In scientific discussions of the presented and related work, the students will deepen their knowledge about current limitations of Machine Learning approaches both on the theoretical side and on the side of their technical and practical realizations. Presentations of interdisciplinary research will enable the students to carry over their Machine Learning knowledge to address questions in other scientific domains. Contents: Building up on advanced Machine Learning knowledge, this seminar discusses recent scientific contributions and developments in Machine Learning as well as recent papers on applications of Machine Learning algorithms. Typical application domains include general pattern recognition, computer hearing, computer vision and computational neuroscience. Typical tasks include auditory and visual signal enhancements, source separation, auditory and visual object learning and recognition, auditory scene analysis, data compression and inpainting. Applications to computational neuroscience will discuss recent papers on the probabilistic interpretation of neural learning and biological intelligence.

  • Unlimited access 5.04.4224 - Oberseminar Medizinische Physik Show lecturers
    • Prof. Dr. Dr. Birger Kollmeier
    • Prof. Dr. Stefan Uppenkamp, Dipl.-Phys.
    • Thomas Brand
    • Dr. Stephan Ewert
    • Dr. rer. nat. Anna Warzybok-Oetjen

    Tuesday: 10:00 - 12:00, weekly (from 08/04/25)

    Aktuelle Forschungsarbeiten aus folgenden Gebieten der medizinischen Physik; Signalverarbeitung und Akustik: Audiologie, Neurosensorik (EEG,MEG, fMRI, OAE,…), Psychoakustik, Sprachakustik, Sprachtechnologie, Signalverarbeitung für Hörgeräte und Multimedia

  • Limited access 6.03.250 - Computational Neuroscience - Statistical Learning Show lecturers
    • Prof. Dr. Jochem Rieger
    • PD Dr. Jörn Anemüller
    • Leo Michalke
    • Jessica Jurado Garcia

    Dates on Monday, 26.05.2025 - Friday, 30.05.2025, Monday, 02.06.2025 - Friday, 06.06.2025, Monday, 09.06.2025 - Friday, 13.06.2025 09:00 - 16:00
Exercises
Practical training
Hinweise zum Modul
Prerequisites
Related to selected course/s
Reference text

This module o ers special as well as advanced engineering courses in Biomedical Physics and Acoustics. The list of eligible courses will be updated each academic year. Please refer to the courses listed for this module in Stud.IP.

Module examination
Related to selected course/s
Skills to be acquired in this module
The aim of this module is, to give students further access to also small courses (3 CP) which address the specific interest of the student and deliver unique in-depth knowledge or the opportunity to train specific engineering skills.

Top