Publicaciones

AI-Powered Education: Teaching Climate Change Modeling and Analysis Using Python

Autoría:
Olabe, J.C. , Basogain, X, Olabe, M.A.
Año:
2023
Libro:
Editorial Dyckinson
Cuartil:
SPI-CSIC Ranking General: Q1, 39ª editorial de 385 incluidas. SPI-CSIC Educación: Q1, 4ª editorial de 50 incluidas, D1. IE-CSIC: Nivel Alto.
Ciudad de edición y/o Editorial:
Madrid
Volumen:
Conexiones digitales: las tecnologías como puentes del aprendizaje
Página de inicio - Página de fin:
289 - 310
ISBN/ISSN:
978-84-1170-535-6
DOI:
https://www.dykinson.com/libros/conexiones-digitales-las-tecnologias-como-puentes-de-aprendizaje/9788411705356/
Descripción:

The urgency of climate change and the complexity of its data has highlighted an acute need for competent analysis skills. Understanding the details of our changing climate requires expertise that can analyze and interpret large and varied data. This chapter introduces an innovative Python-based course, designed for high school and freshman college students, to address this pressing need. The course aims to equip students with the necessary computational skills, and to foster an understanding of climate change and its far-reaching impact. The goal is to educate a generation of informed, skilled individuals who can contribute significantly to climate science and environmental policy.

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