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Mar 06, 2025
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MAT 280 Linear Algebra Lecture: 2 Lab: 2 Clinic: 0 Credits: 3 This course provides an introduction to linear algebra topics. Emphasis is placed on the development of abstract concepts and applications for vectors, systems of equations, matrices, determinants, vector spaces, multi-dimensional linear transformations, eigenvectors, eigenvalues, diagonalization and orthogonality. Upon completion, students should be able to demonstrate understanding of the theoretical concepts and select and use appropriate models and techniques for finding solutions to linear algebra-related problems with and without technology.
This course has been approved for transfer under the CAA as a premajor and/or elective course requirement.
Pre-requisite(s): MAT 271 . Course is typically offered in Fall. Course has transfer restrictions - 20 years
Student Learning Outcomes (SLOs) At the completion of the course, the students should be able to do the following:
- Compute, both analytically and graphically, vector operations in multiple dimensions.
- Solve linear equations using multiple methods.
- Use eigenvalues, eigenvectors, and diagonalization to solve problems.
- Apply matrix operations and linear transformations to solve problems.
- Use orthogonal projections and orthogonal complements of subspaces to solve problems.
- Employ precise definitions of the dimension of a subspace and the rank of a linear transformation to solve problems.
- Analyze various problems with the use of technology.
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