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Nov 30, 2024
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MAT 272 - Linear Algebra Linear systems, matrix algebra, vector spaces, with emphasis on Euclidean n-spaces, linear transformations, eigenvalues and eigenvectors, orthogonality, and selected applications. Prerequisite: A grade of C- or better in MAT 122 or MAT 236. Fulfills: LASR. (3 cr. hr.)
Frequency code A = offered every semester
Student Learning Outcomes
Upon successful completion of this course, students will be able to:
- Solve systems of linear equations using Gauss-Jordan elimination.
- Perform basic matrix algebra and calculate determinants, inverses, and eigenvalues of matrices.
- Relate properties of sets of vectors to properties of matrices.
- Describe vector spaces and their subspaces, find bases for and calculate the dimension of vector spaces.
- Analyze a linear transformation based on its characteristics as a matrix including null space, column space, and invertibility.
- Use vectors and matrices to represent points and linear transformations in Euclidean vector spaces.
- Distinguish matrices based on their properties such as invertibility, diagonalizability and singularity.
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