Matrix Algebra and Optimization

Lecture, three hours; discussion, one hour. Recommended requisite: course 202A. Survey of computational methods that are especially useful for statistical analysis, with implementations in statistical package R. Topics include matrix analysis, multivariate regression, principal component analysis, multivariate analysis, and deterministic optimization methods. S/U or letter grading.

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Enrollment Progress

Dec 5, 3 PM PST
LEC 1: 34/34 seats taken (Full)
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Section List

  • LEC 1

    Closed

    TR 9:30am-10:45am

    Online - Recorded

Course

Instructor
Alyson Fletcher
Previously taught
21W 19W

Previous Grades

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