392286 ISY Project: Sonification of quasi-periodic weather time series (Pj) (SoSe 2023)

This project is a collaboration between Queen Mary University of London (QMUL) and the Ambient Intelligence Group at Faculty of Technology. The aim is to study complex phenomena, specifically the El Ninõ Southern Oscillation (ENSO), one the major patterns of atmospheric variability. You will study topological representations of ENSO and turn them into visualizations and sonifications that allow to gain insight into properties otherwise difficult to understand, such as intrinsic dimensionality, topological features and periodicity. The task will be to develop an initial system to extract features from given data and sonify them with selected sonification methods, using jupyter notebooks, the sc3nb package for audio coding and the python giotto-tda library. The project will be jointly supervised by Nina Otter, expert in applied topology, and Thomas Hermann, who brings in expertise in auditory data science.

This project is offered as individual project or project for a tandem of two students.

Teilnahmevoraussetzungen, notwendige Vorkenntnisse

Required skills: Python, Linear Algebra, interest in Data Mining and Topology