Math 207 - Matrices and Linear Algebra

Course Coordinator

Eli Stines (

Catalog Description

MATH 207. Matrices and Linear Algebra.
(3-0) Cr. 3. F.S.SS. Prereq: 2 semesters of calculus
Systems of linear equations, determinants, vector spaces, linear transformations, orthogonality, least-squares methods, eigenvalues and eigenvectors. Emphasis on methods and techniques. Only one of MATH 207 and MATH 317 may be counted toward graduation.


book coverLarson
Elementary Linear Algebra
bundled with Enhanced WebAssign card
ISBN: 9781305006126



Chapter and Section references are to Elementary Linear Algebra 7th ed.

Times are suggested based on a 15-week semester of 44 class meetings, allowing 8 days for review and exams.

Chapter & Sections Topics Time
Chapters 1 and 2 7
Chapters 3 and 4
Chapter 5
Chapters 6 and 7
§§ 6.1-7.3  



Systems of Linear Equations

  • Recognize and set up a system of linear equations
  • Perform row operations on a system of linear equations to obtain echelon and reduced echelon forms
  • Interpret echelon forms to determine solution sets of systems of linear equations
  • Apply systems of linear equations to problems in networking, balancing chemical equations, and other areas

Matrix Algebra and Determinants

  • Perform matrix arithmetic operations
  • Use determinants do determine if a matrix is invertible
  • Use determinants to find the inverse of a matrix if it exists
  • Apply augmented matrices to find the inverse of a matrix if it exists

Vector Spaces

  • Identify subspaces of n dimensional real space
  • Identify subspaces of abstract vector spaces
  • Produce a basis for a given vector space
  • Verify if a given set is linearly independent, spanning, or both
  • Identity the standard subspaces NulA, ColA, and RowA for a given matrix A

Linear Transformations

  • Give the standard matrix for a given linear transformation
  • Interpret maxtrix multiplication as a composition of linear transformations
  • Find change of base matrices and their relationship to a linear transformation
  • Relate one to one and onto with NulA and ColA and invertibility

Inner Product Spaces

  • Understand orthogonality and magnitude in n dimensional space
  • Utilize inner products in abstract vector spaces
  • Use an inner product to induce a norm
  • Utilize matrices to solve least squares problems

Eigenvalues and Eigenvectors

  • Understand the definition of eigenvalues and eigenvectors
  • Verify if given scalars are eigenvalues<
  • Use the characteristic polynomial to find all eigenvalues and eigenvectors/li>
  • Use the number of eigenvectors to determine if a matrix is diagonalizable

Old Exams

(none available)

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