CMPS263: Data Driven Discovery and Visualization

Explores high-quality interdisciplinary research using socio-economic data and software available on the Internet, and data curation, computation, and visualization to strengthen scientific inquiry to bear on large-scale societal problems. Applications include inequality, poverty, water, energy, environment, health, education, and democracy. Enrollment restricted to graduate students. Enrollment by instructor consent.

5 Credits

While the information on this web site is usually the most up to date, in the event of a discrepancy please contact your adviser to confirm which information is correct.