AI for Earth and Planetary Sciences
E-PSCI 210
Subject & Catalog Number
Course Information
Description
This graduate-level course provides a comprehensive overview of AI methods for applications in Earth and Planetary Sciences (EPS). Topics range from foundational techniques (e.g., regression, clustering, random forests) to advanced deep learning architectures (CNNs, RNNs, GNNs, FNO) and Large Language Models (LLMs). The curriculum integrates methodological lectures with hands-on labs using real-world EPS datasets (e.g., satellite imagery, climate model outputs, planetary sensor data). A substantial research project allows students to apply AI workflows to a scientific problem of their choosing, fostering skills in data analysis, model development, and scientific interpretation.
Course Notes
Course is open to advanced undergraduates with instructor permission.
Available for Harvard Cross Registration
