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MTH 719

Applied Linear Algebra

Emphasis on the interplay between theory, application and numerical techniques. Review of vector spaces, complexity of algorithms and numerical techniques, applications of eigenvalues and eigenvectors. Singular value decomposition. Markov chains and probability matrices. Linear Transformations. Inner product spaces. Concepts will be illustrated through applications as chosen by the instructor. Lab work done with an appropriate software package.
Weekly Contact: Lab: 1 hr. Lecture: 3 hrs.
GPA Weight: 1.00
Course Count: 1.00
Billing Units: 1


(MTH 131 or MTH 207 or MTH 140) and (MTH 108 or MTH 141) and (CPS 118 or CPS 109 or CPS 106 or CPS 125)





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*List may not include courses that are on a common table shared between programs.