Description

Cross-listed w/ DS 143 and ME 173). Emerging topics in data science and statistical learning with applications to the three pillars of sustainability (environmental, economic, and social). Building, estimating and interpreting models used in energy and environmental decision-making with emphasis on social justice. Development of critical consumers and responsible producers of data-driven analysis through: learning a suite of data-driven modeling and prediction tools; building the programming and computing expertise to use those tools; and, developing the ability to formulate analyses to answer questions pertaining to sustainability.