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
| Year | Fall | Winter | Spring | Summer |
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| 2018-19 |
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| 2017-18 |
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| 2015-16 |
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