HWRS640

043849

This course aims to provide students with concepts, skills, and applications for understanding and modeling the complex Earth system using advanced computational methods. We will survey fundamental mathematical methods for large-scale data analysis and modeling including topics such as optimization, reduced order modeling, dimensionality reduction, deep learning, and connections to numerical modeling via partial differential equations. A large focus of the course will be on the topics of scientific machine learning (SciML) and building skills for working with real-world datasets across a multitude of modalities.

GRD - Regular Grades A, B, C, D, E

Graduate

Python, or similar (R, Julia, Javascript) programming skills.
A strong background in numerical computing is recommended.