- Schedule of Classes - June 2, 2019 7:14PM EDT
- Course Catalog - June 2, 2019 7:15PM EDT
Course information provided by the Courses of Study 2018-2019.
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)
Class Number & Section Details
- TRBard Hall 140
Limited to grad students only.
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