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Dec 12, 2024
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Catalog 2019-2020 [ARCHIVED CATALOG]
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MATH 230 Matrix Algebra with Applications5 credits This course serves as an introduction to matrix theory and linear algebra. Topics covered include systems of equations, Gaussian elimination, LU decomposition, Euclidean vector spaces and subpaces, linear transformations, basis sets and dimensions, span of a vector space, Gram-Schmidt orthogonalization, least squares methods, eigenvalues, and eigenvectors. Applications are emphasized.
Prerequisites: MATH& 163
Course Outcomes Upon successful completion of this course students will be able to:
- Perform matrix operations, calculate determinants, find inverses for matrices (where possible), and find the transpose of a matrix
- Use elementary row operations to solve systems of linear equations using Gaussian Elimination and Gauss-Jordan reduction methods
- Apply LU decomposition methods to factorize a matrix
- Identify a system of linear equations as independent, inconsistent, or dependent
- Identify properties of Euclidean vector spaces and the effects of linear transformations
- Perform vector operations; use properties of vector operations; and determine vector subspaces, spanning sets, and bases of vector spaces
- Show that a set of vectors forms the basis for a set, and find the dimension of a subspace
- Find inner products and find a basis for a given inner product space
- Use matrices to perform transformations between vector spaces and to identify isomorphisms
- Find the kernel, range, rank, and nullity of a linear transformation
- Find the standard matrix for a given linear transformation and use this matrix to find the image of a given vector
- Use Gram-Schmidt orthogonalization to find orthonormal vectors
- Apply QR decomposition methods to factorize a matrix
- Find real eigenvalues and eigenvectors of a square matrix
- Diagonalize symmetric matrices
- Apply matrix algebra to data fitting and least squares analysis
- Use the mathematical critical thinking skills of problem solving, pattern recognition, substitution, following structural rules, and quantitative modeling to solve problems requiring reasoning, critical thinking, and computation
Global Outcomes This course teaches to the global outcome of critical thinking.
Total Hours: 50 Lecture Hours: 50
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