Oct 19, 2020  
2019-2020 Catalog 
    
2019-2020 Catalog [ARCHIVED CATALOG]

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MATH 240 - Topics in Linear Algebra

Credits: 5
Study of systems of linear equations, vector spaces, matrices and matrix equations, eigenvalues and eigenvectors, linear transformations, and applications. Graphing calculator required.

Prerequisite: MATH& 153  with a grade of 2.0 or higher; or appropriate math placement.

Satisfies Requirement: Natural Science and Quantitative Skills

Course Outcomes:
Students who successfully complete this class will be able to:

  1. Describe the solution set of a system of linear equations.
  2. Apply Gaussian and Gauss-Jordan elimination.
  3. Find the inverse of an invertible matrix.
  4. Apply equivalent properties of matrix invertibility.
  5. Identify vector spaces.
  6. Find a basis for a vector space.
  7. Normalize a set of vectors.
  8. Find and apply the eigenvalues and eigenvectors of a matrix.
  9. Find the least squares approximation of a system of linear equations.
  10. Identify and apply linear transformations.

Program Outcomes
  1. Recognize which quantitative or symbolic reasoning methods are appropriate for solving a given problem.

  2. Correctly implement the quantitative or symbolic reasoning methods that are appropriate for solving a given problem.

  3. Translate data into various formats such as symbolic language, equations, graphs, and formulas.



College-wide Outcomes
  • Quantitative and Symbolic Reasoning - Quantitative Reasoning encompasses abilities necessary for a student to become literate in today’s technological world. Quantitative reasoning begins with basic skills and extends to problem solving.



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