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Mar 07, 2026
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MATH 2318 - Linear Algebra
Introduces and provides models for application of the concepts of vector algebra. Topics include finite dimensional vector spaces and their geometric significance; representing and solving systems of linear equations using multiple methods, including Gaussian elimination and matrix inversion; matrices; determinants; linear transformations; quadratic forms; eigenvalues and eigenvector; and applications in science and engineering.
Learning Outcomes: Upon successful completion, students will be able to:
- be able to solve systems of linear equations using multiple methods, including Gaussian elimination and matrix inversion;
- be able to carry out matrix operations, including inverses and determinants;
- demonstrate understanding of the concepts of vector space and subspace;
- demonstrate understanding of linear independence, span, and basis;
- be able to determine eigenvalues and eigenvectors and solve problems involving eigenvalues;
- apply principles of matrix algebra to linear transformations;
- and demonstrate application of inner products and associated norms.
Credit Hour(s): 3
Lecture Hour(s): 48
Prerequisite(s): MATH 2414 -Calculus II with a grade of C or better
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