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Vectors and Matrices


MATH 221
Fall 2017
Section: 01   02  
Certificates: Applied Data Science
Course Cluster: Data Analysis Minor

This is a course in the algebra of matrices and Euclidean spaces that emphasize the concrete and geometric. Topics to be developed include solving systems of linear equations; matrix addition, scalar multiplication, and multiplication; properties of invertible matrices; determinants; elements of the theory of abstract finite dimensional real vector spaces; dimension of vector spaces; and the rank of a matrix. These ideas are used to develop basic ideas of Euclidean geometry and to illustrate the behavior of linear systems. We conclude with a discussion of eigenvalues and the diagonalization of matrices.
Credit: 1 Gen Ed Area Dept: NSM MATH
Course Format: LectureGrading Mode: Graded
Level: UGRD Prerequisites: None
Fulfills a Major Requirement for: (ASTR)(COMP)(DATA-MN)(MATH)(MB&B)(MECO)(NS&B)(PHYS)
Past Enrollment Probability: 75% - 89%

Last Updated on NOV-20-2017
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