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Linear Algebra


MATH 223
Fall 2017
Section: 01  
Certificates: Applied Data Science
Course Cluster: Data Analysis Minor

An alternative to MATH221, this course will cover vector spaces, inner-product spaces, dimension theory, linear transformations and matrices, determinants, eigenvalues and eigenvectors, Hermitian and unitary transformations, and elementary spectral theory. It will present applications to analytic geometry, quadratic forms, and differential equations as time permits. The approach here is more abstract than that in MATH221, though many topics appear in both.
Credit: 1 Gen Ed Area Dept: NSM MATH
Course Format: LectureGrading Mode: Graded
Level: UGRD Prerequisites: None
Fulfills a Major Requirement for: (CIS)(COMP)(DATA-MN)(MATH)(MB&B)(MECO)(NS&B)
Past Enrollment Probability: 90% or above

Last Updated on NOV-20-2017
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