- Schedule of Classes - February 16, 2020 7:14PM EST
- Course Catalog - February 16, 2020 7:15PM EST
Course information provided by the Courses of Study 2019-2020.
A discussion of numerical methods in the context of data analysis, machine learning, and network science problems. The course will focus on matrix and tensor decompositions, numerical algorithms for graph data, least squares, regression, and iterative methods.
When Offered Spring.
Prerequisites/Corequisites Prerequisite: strong background in linear algebra, prior exposure to numerical methods.
Regular Academic Session.
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
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