13500 - Introduction to Neural Signal Analysis Modulübersicht

Module Number: 13500
Module Title:Introduction to Neural Signal Analysis
  Einführung in die neuronale Signalanalyse
Department: Faculty 1 - Mathematics, Computer Science, Physics, Electrical Engineering and Information Technology
Responsible Staff Member:
  • Prof. Dr.-Ing. habil. Glasauer, Stefan
Language of Teaching / Examination:English
Duration:1 semester
Frequency of Offer: On special announcement
Credits: 6
Learning Outcome:After successfully completing the module, students know the different types of neural and biomedical signals. They are able to process (e.g. filter), evaluate and analyse them.
  1. Introduction to biomedical signals
  2. Concurrent, Coupled, and Correlated Processes
  3. Filtering for Removal of Artifacts
  4. Event Detection
  5. Cross-spectral Techniques 
  6. Wave shape and Waveform Complexity
  7. Frequency-domain Characterization
Recommended Prerequisites:Knowledge of the topics of the modules
  • 11112  Mathematik IT-1 (Diskrete Mathematik)
  • 11113  Mathematik IT-2 (Lineare Algebra)
  • 11213  Mathematik IT-3 (Analysis)
  • 11756  Algorithmen und Datenstrukturen
Mandatory Prerequisites:None
Forms of Teaching and Proportion:
  • Lecture / 2 Hours per Week per Semester
  • Exercise / 2 Hours per Week per Semester
  • Self organised studies / 120 Hours
Teaching Materials and Literature:
  • Biomedical Signal Analysis (IEEE Press Series on Biomedical Engineering), Rangaraj M. Rangayyan, Wiley-IEEE Press, ISBN:9780470911396
Module Examination:Prerequisite + Final Module Examination (MAP)
Assessment Mode for Module Examination:Prerequisite:
  • Successful completion of homework
Final Module Examinatio: 
  • Written exam, 120 minutes OR
  • Oral examination, 30-45 minutes
In the first lecture it will be announced, if the examination will be offered in written or oral form.
Evaluation of Module Examination:Performance Verification – graded
Limited Number of Participants:None
Part of the Study Programme:
  • Master (research-oriented) / Artificial Intelligence / PO 2022
  • Bachelor (research-oriented) / Informatik / PO 2008
  • Bachelor (research-oriented) / Informations- und Medientechnik / PO 2017
  • Bachelor (research-oriented) / Medizininformatik / PO 2016
  • Study programme Medizininformatik B.Sc.: Compulsory elective module in complex „Medizininformatik"
  • Study programme Informations- und Medientechnik B. Sc.: Complex „Informatik", compulsory elective module module in the field of study „Kognitive Systeme"
  • Study programme  Informatik B.Sc.: Compulsory elective module in complex „Praktische Informatik" (level 300)
  • Study programme Artificial Intelligence M.Sc.: Compulsory elective module in complex „Knowledge Acquisition, Representation, and Processing“
Module Components:
  • Lecture: Introduction to neural signal analysis
  • Accompanying exercise
  • Related examination
Components to be offered in the Current Semester:
  • no assignment