Fall 2020 Course Descriptions

COMP 150-02 Simple Virtual Machines

N. Ramsey
MW 1:30-2:45, Online (synchronous)
G+ Block


COMP 150-02 Data Science for Sustainability

D. Sunter
TR 1:30-2:45, Online
H+ Block

Crosslisted as ME 193. This course explores emerging topics in data science and statistical learning with applications to the three pillars of sustainability (environmental, economic, and social). Students learn to build, estimate, and interpret models that describe phenomena in the broad area of energy and environmental decision-making with an emphasis on social justice. Students leave the course as both critical consumers and responsible producers of data-driven analysis. The objectives of this class include i) learning a suite of data-driven modeling and prediction tools, ii) building the programming and computing expertise to use those tools, and iii) developing the ability to formulate an analysis to answer sustainability questions of interest to industry and/or government partners.

Prerequisite: This course uses Python. Prior experience with statistics and programming is required.


Back to Main Courses Page