Environmental Data Analysis and Simulation

Catalog description

Understanding data is an increasingly integral part of working with environmental systems. Data analysis is an integral part of developing statistical and numerical models to understand system dynamics and project future conditions and outcomes. This course will provide an overview of a generative approach to environmental data analysis, which uses simulation from models to provide insight into the structure of data and its data-generating process. The goal is to provide students with a framework and an initial toolkit of methods that they can use to formulate and update hypotheses about data and models. Students will actively analyze and use real data from a variety of environmental systems, potentially including the climate system, sea levels, air pollution, and the electric power system.