Data, Models, and AI: Climate and Energy Systems
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This 12-week curriculum encompasses atmospheric fluids, climate processes, environmental dynamics, and energy systems, integrating these subjects with practical hardware engineering and contemporary computational methods, including basic engineering calculations, modelling and simulation, high-performance computing (HPC), and artificial intelligence (AI). Participants examine the physical principles underlying atmospheric and climate phenomena and acquire essential numerical methodologies. The curriculum additionally offers practical experience in designing and programming small climate-monitoring stations. Students develop microcontroller programming skills to facilitate real-time data acquisition and remote transmission via MQTT. Ultimately, students employ data analysis, HPC deployment, and AI-based modeling to both simulated environments and actual geophysical data obtained from their bespoke climate stations.