ESPM-157: Data Science & Global Change Ecology
This is an upper-division undergraduate course designed to introduce the fundamentals of data science-driven research through hands-on applications to major issues in global change ecology.
ESPM-288: Reproducible and Collaborative Data Science
This is a graduate-level course designed for the UC Berkeley NSF Research Trainee Program Environment and Society: Data Sciences for the 21st Century and other interested students in ecological, environmental or social science programs.
CSOL-208: Data Science for Climate Solutions
This course integrates data science fundamentals into the climate solutions curriculum, reframing them for an AI-driven era. Students practice data organization, visualization, and quantitative analysis by communicating in natural language with AI systems.
Other Teaching
ESPM-88B: Data Science in Ecology and the Environment
This course is a "connector course" that will be open to freshmen enrolled in UC Berkeley's Foundations of Data Science. (TBD)
UGIS-192: Independent Undergraduate Reseach, via URAP
See list of current available projects. (Every Semester)