Practical AI Methods in Data and Modeling for Weather and Climate

Undergraduate / Graduate

This is a practical course meant to complement theoretical development in "Scientific ML for Climate and Chaos." The student will develop the technical skills to use AI methods to investigate data and to run and analyze AI models in weather and climate. This course will be taught in a hackathon format. We will learn a technique together, then each student will be responsible for defining and complementing an individual project using the technique.