integrating the DeuteroNoise project in the MSc in big data

Marine noise pollution derived from human activities (particularly noise produced by ships) poses emerging threats to aquatic ecosystems. The European research initiative DeuteroNoise aims to characterize maritime noise across multiple European basins and assess its impact on ecologically relevant m...

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Bibliographic Details
Authors: Vidaña Vila, Ester, Nou-Plana, Ignasi
Format: article
Publication Date:2026
Country:España
Institution:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repository:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:dnet:recercat____::cb8ce13081e29086e1a6a8b66ec7ca79
Online Access:https://hdl.handle.net/20.500.14342/6219
Access Level:Open access
Keyword:DeuteroNoise
Marine noise pollution
Promoting research to students
Data mining applied to audio
Acoustic signal processing
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spelling integrating the DeuteroNoise project in the MSc in big dataVidaña Vila, EsterNou-Plana, IgnasiDeuteroNoiseMarine noise pollutionPromoting research to studentsData mining applied to audioAcoustic signal processing00004531/534Marine noise pollution derived from human activities (particularly noise produced by ships) poses emerging threats to aquatic ecosystems. The European research initiative DeuteroNoise aims to characterize maritime noise across multiple European basins and assess its impact on ecologically relevant marine invertebrates (specifically deuterostomes). La Salle – Ramon Llull University, as one of the project partners, contributes specifically by performing audio acquisition and signal processing on different sea basins. This paper describes the pedagogical integration of DeuteroNoise into the MSc in Big Data at La Salle. We designed a two-stage educational strategy: (1) a mandatory project in the Data Mining subject where all the students performed ship noise classification tasks using real underwater acoustic data, and (2) the proposal of MSc thesis topics aligned with DeuteroNoise work packages, aiming to promote the research projects developedinfo:eu-repo/semantics/publishedVersionLa Salle Campus Barcelona - Universitat Ramon LlullUniversitat Ramon Llull. La Salle2026info:eu-repo/semantics/article2 p.https://hdl.handle.net/20.500.14342/6219reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésActes de la 6a Jornada de Recerca, Docència i Innovació Docent© L'autor/aAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:dnet:recercat____::cb8ce13081e29086e1a6a8b66ec7ca792026-05-29T05:05:01Z
dc.title.none.fl_str_mv integrating the DeuteroNoise project in the MSc in big data
title integrating the DeuteroNoise project in the MSc in big data
spellingShingle integrating the DeuteroNoise project in the MSc in big data
Vidaña Vila, Ester
DeuteroNoise
Marine noise pollution
Promoting research to students
Data mining applied to audio
Acoustic signal processing
00
004
531/534
title_short integrating the DeuteroNoise project in the MSc in big data
title_full integrating the DeuteroNoise project in the MSc in big data
title_fullStr integrating the DeuteroNoise project in the MSc in big data
title_full_unstemmed integrating the DeuteroNoise project in the MSc in big data
title_sort integrating the DeuteroNoise project in the MSc in big data
dc.creator.none.fl_str_mv Vidaña Vila, Ester
Nou-Plana, Ignasi
author Vidaña Vila, Ester
author_facet Vidaña Vila, Ester
Nou-Plana, Ignasi
author_role author
author2 Nou-Plana, Ignasi
author2_role author
dc.contributor.none.fl_str_mv Universitat Ramon Llull. La Salle
dc.subject.none.fl_str_mv DeuteroNoise
Marine noise pollution
Promoting research to students
Data mining applied to audio
Acoustic signal processing
00
004
531/534
topic DeuteroNoise
Marine noise pollution
Promoting research to students
Data mining applied to audio
Acoustic signal processing
00
004
531/534
description Marine noise pollution derived from human activities (particularly noise produced by ships) poses emerging threats to aquatic ecosystems. The European research initiative DeuteroNoise aims to characterize maritime noise across multiple European basins and assess its impact on ecologically relevant marine invertebrates (specifically deuterostomes). La Salle – Ramon Llull University, as one of the project partners, contributes specifically by performing audio acquisition and signal processing on different sea basins. This paper describes the pedagogical integration of DeuteroNoise into the MSc in Big Data at La Salle. We designed a two-stage educational strategy: (1) a mandatory project in the Data Mining subject where all the students performed ship noise classification tasks using real underwater acoustic data, and (2) the proposal of MSc thesis topics aligned with DeuteroNoise work packages, aiming to promote the research projects developed
publishDate 2026
dc.date.none.fl_str_mv 2026
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14342/6219
url https://hdl.handle.net/20.500.14342/6219
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Actes de la 6a Jornada de Recerca, Docència i Innovació Docent
dc.rights.none.fl_str_mv © L'autor/a
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv © L'autor/a
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 2 p.
dc.publisher.none.fl_str_mv La Salle Campus Barcelona - Universitat Ramon Llull
publisher.none.fl_str_mv La Salle Campus Barcelona - Universitat Ramon Llull
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869416187023065088
score 15.811543

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