integrating the DeuteroNoise project in the MSc in big data

Abstract

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