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...
| Autores: | , |
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| Formato: | artículo |
| Fecha de publicación: | 2026 |
| País: | España |
| Recursos: | Universitat Ramon Llull (URL) |
| Repositorio: | DAU Arxiu Digital de la Universitat Ramon Llull |
| OAI Identifier: | oai:dnet:dau_________::c0d99b7b494ad298be5a68fde0512db5 |
| Acesso em linha: | http://hdl.handle.net/20.500.14342/6219 |
| Access Level: | acceso abierto |
| Palavra-chave: | DeuteroNoise Marine noise pollution Promoting research to students Data mining applied to audio Acoustic signal processing 00 004 531/534 |
| Resumo: | 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 |
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