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Linear Algebra MATH 223 Spring 2020 Section: 01   Certificates: Applied Data Science, Data Analysis Minor Course Cluster: Applied Data Science Certificate 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: Lecture Grading Mode: Graded Level: UGRD Prerequisites: MATH122 Fulfills a Requirement for: (CADS)(COMP)(DATA-MN)(MATH)(MB&B)(NS&B)(PHYS-MN)(PHYS) Past Enrollment Probability: 90% or above SECTION 01 Major Readings: Wesleyan RJ Julia Bookstore Additional Requirements and/or Comments: MATH121 and MATH122 or the equivalent are required as background for MATH223. Students may not get credit for more than one of MATH221 and MATH223. Instructor(s): Rasmussen,Christopher          Times: ..T.R.. 10:20AM-11:40AM;       Location: SCIE638; Total Enrollment Limit: 29 SR major: 0 JR major: 0     Seats Available: 6 GRAD: X SR non-major: 0 JR non-major: 0 SO: 15 FR: 14 Drop/Add Enrollment Requests Total Submitted Requests: 0 1st Ranked: 0 2nd Ranked: 0 3rd Ranked: 0 4th Ranked: 0 Unranked: 0

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