CMPS218: Foundations of Data Science

*****COURSES ARE SUBJECT TO CHANGE*****

Examines the mathematical and algorithmic foundations of data science including high dimensional data, probabilistic inequalities, dimensionality reduction, correlation detection, streaming algorithms, and clustering. Prerequisite(s): course 201. Enrollment is restricted to graduate students.

5 Credits

YearFallWinterSpringSummer
2017-18
2015-16

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.