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Lehre > Sommersemester 2017 > Seminar: Machine Learning and Artificial Neural Networks in Biomedical Applications
LEHRE Wintersemester 2017/2018
Seminar: Machine Learning and Artificial Neural Networks in Biomedical Applications
Sommersemester 2017 Vorlesung: Advanced Topics in Embedded Systems Vorlesung: Entwurf und Synthese Eingebetteter Systeme Vorlesung: Neuronal Computing
Seminar: Advanced Topics in Perception Engineering Seminar: Eingebettete Systeme Seminar: Gaze-based Interactive Systems Seminar: Machine Learning and Artificial Neural Networks in Biomedical Applications
Umfang
2 SWS / 4 LP
Eintrag im LSF
Machine Learning and Artificial Neural Networks in Biomedical Applications
Exemplary topics from the last years (current topics will be different): Decision Making in the ICU with Rbf-Based Fuzzy Logic Improvement of Patient Monitoring Alarms by Using Machine-Learning Techniques Sensitivity Analysis Classification of emotional states from electrocardiogram signals Gaze Guidance and Driving Transcranial Magnetic Stimulation: A New Diagnostic and Therapeutic Tool for Tinnitus Patients? Gaussian Processes in Brain Computer Interfaces Optical Illusions Ultrasonic imaging of the central nervous system to detect pathologies Error Related Potentials to Predict Learning Success
Praktikum: Programming Ultra Low Power Architectures
Sommersemester 2016
Betreuer
Peter Sippel Nagel Krumpe
Basispraktikum: Technische Informatik
Wintersemester 2016/2017
Dr. Spüler
The Seminar "Machine Learning and Artificial Neural Networks in Biomedical Applications" covers current topics of signal processing on neural signals (e.g. fMRI, EEG or MEG) for their use in biomedical applications (e.g. neuroprosthetics or brain-computer interfaces, BCIs) and related topics; as well as methods and algorithms applied in those fields.
Proseminar: Moderne Architekturen Eingebetteter Systeme
Programmierprojekt: Drahloses Informations- und Aktionssystem
Dozent
Beschreibung
Seminar: Organisitation eines Absolvententags der Informatik
Programmierprojekt: Building Low-Cost Eye Tracker
Technische Informatik
Vorbesprechung 24.04.2017, 10:00 (c.t.), F122 Hörsaal 2 (Sand)
Vorlesung: Parallele Rechnerarchitekturen Vorlesung: Software-Qualität in Theorie und industrieller Praxis
Lehrstuhl
Bemerkung Please pre-register for this course. Send a mail with your name, student id ("Matrikelnummer"), branch of study (CS / bioinformatics / ...) and how far you've progressed in your studies to
[email protected]. The topics will be assigned at the kickoff-meeting at april 24th, 10:00 (c.t.) in room F122 Hörsaal 2 (Sand). Slides from the kick-off meeting can be found here Milestones
Wintersemester 2015/2016
Sommersemester 2014
outlines of presentation and written report: June 16th written report: July 7th presentations: July (14th, 21th) rehearsal presentation: about 1 week before presentation The written report should be 15-20 pages long and the Latex-Tempalte (Link to Latex-Template) must be used.
Wintersemester 2013/2014
The presentation should be 20 minutes plus 10 minutes for discussion. Slides can be made with Powerpoint or Latex.
Sommersemester 2013
Additional literature to the topic should be researched independently. All sources used should be properly cited.
Wintersemester 2012/2013
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