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Signal Processing Projects at Technische Universität Darmstadt: How to engage undergraduate students in signal processing practice

Schäck, T. ; Muma, M. ; Zoubir, A. M. :
Signal Processing Projects at Technische Universität Darmstadt: How to engage undergraduate students in signal processing practice.
[Online-Edition: https://doi.org/10.1109/MSP.2016.2619218]
In: IEEE Signal Processing Magazine, 34 (1) pp. 16-30. ISSN 1053-5888
[Artikel], (2017)

Offizielle URL: https://doi.org/10.1109/MSP.2016.2619218

Kurzbeschreibung (Abstract)

This article is meant to share our experience on integrating signal processing hands-on opportunities into formal engineering education at Technische Universität (TU) Darmstadt, Germany. As many universities face the challenge of how best to provide hands-on experience to undergraduate students, we hope to inspire our colleagues and perhaps trigger new hands-on projects by sharing our insights. At TU Darmstadt, we believe that it is essential to provide undergraduate students with hands-on signal processing opportunities right from the starting point of their studies through graduation.

Typ des Eintrags: Artikel
Erschienen: 2017
Autor(en): Schäck, T. ; Muma, M. ; Zoubir, A. M.
Titel: Signal Processing Projects at Technische Universität Darmstadt: How to engage undergraduate students in signal processing practice
Sprache: Englisch
Kurzbeschreibung (Abstract):

This article is meant to share our experience on integrating signal processing hands-on opportunities into formal engineering education at Technische Universität (TU) Darmstadt, Germany. As many universities face the challenge of how best to provide hands-on experience to undergraduate students, we hope to inspire our colleagues and perhaps trigger new hands-on projects by sharing our insights. At TU Darmstadt, we believe that it is essential to provide undergraduate students with hands-on signal processing opportunities right from the starting point of their studies through graduation.

Titel der Zeitschrift, Zeitung oder Schriftenreihe: IEEE Signal Processing Magazine
Band: 34
(Heft-)Nummer: 1
Freie Schlagworte: Digital signal processing;Information Technology;Laboratories;Microphones;Seminars
Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Signalverarbeitung
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik
18 Fachbereich Elektrotechnik und Informationstechnik
Hinterlegungsdatum: 25 Jan 2017 16:21
Offizielle URL: https://doi.org/10.1109/MSP.2016.2619218
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