MATH2318

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Linear Algebra

University TransferMathematicsUndergraduate Credit

Course Description

(3-4-0) Core Area 090 This course is taken for academic credit. (Prerequisite: MATH 2414) Students will earn an A, B, C, D, F, or W. 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.

Academic Level

Undergraduate Credit

CIP Code

27.0101 - Mathematics, General

Course Type (Attributes)

General Academic (ACGM) (ACGM)

Locations

Athens (01), Terrell Satellite (03), Palestine Satellite (02), Online (06)

This is a Coursedog only field and is not integrated with the SIS.

Objective

Be able to solve systems of linear equations using multiple methods, including Gaussian elimination and matrix inversion.

Objectives

Be able to solve systems of linear equations using multiple methods, including Gaussian elimination and matrix inversion.

Objective

Be able to carry out matrix operations, including inverses and determinants.

Objectives

Be able to carry out matrix operations, including inverses and determinants.

Objective

Demonstrate understanding of the concepts of vector space and subspace.

Objectives

Demonstrate understanding of the concepts of vector space and subspace.

Objective

Demonstrate understanding of linear independence, span, and basis.

Objectives

Demonstrate understanding of linear independence, span, and basis.

Objective

Be able to determine eigenvalues and eigenvectors and solve problems involving eigenvalues.

Objectives

Be able to determine eigenvalues and eigenvectors and solve problems involving eigenvalues.

Objective

Apply principles of matrix algebra to linear transformations. Apply principles of matrix algebra to linear transformations.

Objectives

Apply principles of matrix algebra to linear transformations.

Objective

Demonstrate application of inner products and associated norms.

Objectives

Demonstrate application of inner products and associated norms.