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 will demonstrate a comprehensive understanding of neural signaling and EEG signal acquisition. They will possess the ability to apply basic time and frequency domain analyses for processing EEG signals.
  • Introduction to Neural Signaling
  • EEG Signal Acquisition
  • Artifacts and preprocessing techniques
  • Time Domain Analysis
  • Evoked potentials
  • Frequency Domain and EEG signals spectral analysis
  • Applications in Computational Neuroscience
  • Ethical aspects of brain wave measurements
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:100
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: