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Apr 01, 2026
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DMAT 335 - Computational Linear Algebra
Prerequisites: Successful completion (C- or higher) of Calculus II or equivalent, or consent of instructor.
Delivery: Other
A first course in matrix algebra and linear spaces with emphasis on computational software techniques and geometrical analysis. Topics include matrices, solutions of systems of linear equations, determinants, linear spaces and transformations, inner products, higher dimensional spaces, inverses and pseudoinverses, rank, Singular Value Decomposition, bases, rank, Eigenvalues and Eigenvectors, matrix decomposition and diagonalization.
4 credits
Special Offerings
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