Fall 2015 not offered
|Certificates: Applied Data Science|
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.
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|Course Format: Lecture||Grading Mode: Graded|
||Fulfills a Major Requirement for: (CADS)(CIS)(COMP)(DATA-MN)(MATH)(MB&B)(NS&B)(PHYS-MN)(PHYS)
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MATH223, Linear Algebra, is a deeper, more conceptual and somewhat more extensive study of linear algebra, offered as an alternative to MATH221, Vectors and Matrices.
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