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Projektpraktikum Biosignalverarbeitung und Modellierung

CIT4310004Examination Performance6 ECTSEnglishsummer semesterDepartment Computer Engineering
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

In this module you work in a practical manner on electrophysiology, biosignal processing and modeling. You will learn to acquire EEG/EMG signals, pre-process and post-process them, as well as to develop and evaluate predictive classifiers for Brain-Computer Interface (BCI) applications.

What you will be able to do

  • Carry out experiments for data acquisition with electrophysiological sensors independently
  • Assess data quality and apply signal processing methods for information extraction
  • Create and evaluate predictive models and classifiers with methods of pattern recognition and machine learning
  • Independently work on a practical project and document the results in writing
  • Present and defend the project before an expert committee

What the module consists of

  • Tutorial / Spring SchoolDeepening of course content; short report (about 2 pages)
  • TutoriumConveyance and assessment of central concepts such as preprocessing, segmentation, feature extraction and evaluation; report (about 2 pages)
  • Praxisprojekt (Gruppenarbeit, bis zu 4 Studierende)Implementation of a BCI paradigm including data collection with EEG systems, implementation and evaluation; detailed project report (15–20 pages) and presentation/defense before an expert panel

Teaching method

  • Computer-supported presentationsConveying theoretical content and demonstration of methods
  • practical work at computers and electrophysiological sensor systems (e.g., various EEG systems)Acquisition of practical skills in recording, processing and real-time implementation
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Official page in TUMonline · Details are not binding.