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Dec 05, 2025
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MATH 204 - Elementary Linear Algebra Credits: 5 Variable Credit Course: No
Lecture Hours: 55 Lab Hours: 0 Worksite/Clinical Hours: 0 Other Hours (LIA/Internships): 0
Course Description: Introduction to linear algebra covering systems of linear equations, matrices, vector spaces and subspaces, spanning sets, eigenvalues and eigenvectors, transformations, determinants and applications. Graphing Technology required.
Prerequisite: MATH& 151 with a C or higher. Meets FQE Requirement: No Elective Requirements: Fulfills Academic Electives Integrative Experience Requirement: No
Student Learning Outcomes
- Solve systems of equations using Gauss-Jordan elimination.
- Reduce a matrix to row-reduced echelon form using row reduction.
- Test for linear independence in Rn.
- Reduce a spanning set to a basis in Rn.
- Compute the row space, column space, and null space of a matrix.
- Compute a basis for the kernel and image of a linear transformation.
- Factor a matrix using LU factorization and by diagonalization.
- Compute the eigenvalues and eigenvectors of a matrix.
Course Contents
- Linear Systems of Equations and Matrices. Gauss Jordan row reduction. Vector equations. Matrices and matrix operations. Inverse of a matrix. Elementary matrices and the inverse matrix. Matrix of a linear transformation. Characterizations of invertible matrices. Linear independence in Rn. LU factorization of a matrix.
- Determinants. Determinants by co-factor expansion. Calculating determinants by row reduction. Properties of determinants.
- General Vector Spaces. Vector spaces and subspaces. Linear independence. Coordinate systems. Change of basis. Dimensions of a vector space. Rank and nullity. Matrix transformations from Rn to Rm.
- Eigensystems. Eigenvalues and eigenvectors. The characteristic equation. Diagonalization. Complex eigenvalues.
- Optional Applications. Cramer’s Rule. Markov chains. Leontief Input-Output model. Applications to computer graphics. Kirchhoff’s Law. Difference equations. Networks. Orthogonality and least squares. Curve fitting. Linear programming.
Instructional Units: 5
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