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# MATH 220 Linear Algebra

5 credits
Linear algebra serves as an introduction to matrix theory. Topics include matrix operations, determinants, solving systems of equations, n-dimensional vector spaces, subspaces, linear transformations, eigenvalues and eigenvectors, and their applications.

Prerequisites: MATH& 142

Quarters Offered: Winter, Spring

Global Outcomes:
This course teaches to the global outcome of Critical Thinking.

Student Outcomes/Competencies:
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
• Identify a system of linear equations as independent, inconsistent, or dependent
• 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
• Find real eigenvalues and eigenvectors of a square matrix
• Diagonalize symmetric matrices
• 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

Total Hours: 50 Lecture Hours: 50