DATA380

This course applies data science methods and ecological knowledge to develop solutions to environmental problems. Students will become broadly familiar with methods used by ecologists and environmental scientists, including univariate and multivariate statistics, dynamical modeling, machine learning, spatial statistics, and time series analysis. Case studies include climate change, species conservation, biodiversity monitoring, natural resource management, and ecological restoration. Following team science practices, students will manage projects on GitHub, analyze big environmental data in RStudio, and write white papers to propose science-based policy recommendations.

Willamette College

Salem

All Years

Spring Semester