Teaching

GEOL 515

Elements of Atmospheric Science (Spring 2023)

The objective of this graduate class is to provide students with the tools to understand basic atmospheric phenomena like weather systems, clouds, turbulence, and the greenhouse effect. The class is aimed at entry-level graduate students in science and engineering with prior exposure to basic thermodynamics, mechanics, and differential calculus.

GEOL 499/599

Data science methods for climate change health research (Spring 2023, 2024)

The goal of this graduate course is to provide the framework and tools to empower the next generation of data science professionals to improve the sustainable future of human health in a changing climate. The course first introduces fundamental concepts in the study of climate, epidemiology, and biostatistics and then focuses on data science methods to study the impacts of climate related events on human health.

GEOL 599

Fundamentals of Environmental Data Science

Introduces fundamental concepts on data science for earth and environmental science applications. Students will learn to load, filter, analyze, and summarize data in python using widely available software packages. Following an introduction to data science in python, student will learn techniques for data visualization and data-driven modeling in the Earth and environmental sciences. We will additionally cover best practices around writing code including reproducibility, version control, and file structure management.

GESM 150

Pollution and the Planet (Fall 2023)

The goal of this course is to introduce students to the most common forms of environmental pollution and their impacts on human and ecosystem health. The course integrates the science of pollution sources and persistence in the environment with social and political issues surrounding environmental justice and sustainable development. Students will be expected to connect their understanding of course material to their lived experience beyond the university classroom.