MAT-276 Linear Algebra

A survey course of the study of elementary linear algebra through the study of finite dimensional vector spaces, linear transformations and matrices. Topics covered include vector and matrix operations, determinants, systems of linear equations, linear independence, eigenvalues and eigenvectors.

Credits

3

Prerequisite

MAT-271

Department

  • Mathematics

Semesters Course Will Be Offered

  • Spring

Course Rotation Schedule

  • Spring: In Person
For more detailed course information view the Course Outline

MAT 276: Linear Algebra

Department

Mathematics

Course Description

A survey course of the study of elementary linear algebra through the study of finite dimensional vector spaces, linear transformations and matrices. Topics covered include vector and matrix operations, determinants, systems of linear equations, linear independence, eigenvalues and eigenvectors.

Credit Hours

3

Contact Hours

Lecture3
Lab0
Other0

Grading Scheme

Letter

Semester(s) Course Will Be Offered

Spring

Prerequisites

MAT-271

Course Learning Outcomes

  1. Evaluate their results for reasonableness
  2. Find eigenvalues and eigenvectors
  3. Use equivalent conditions to determine when a set of vectors is linearly independent
  4. Use the concepts of vector space and linear transformations to solve systems of linear equations
  5. Find and Interpret determinants of matrices
  6. Add/Subtract/Scalar Multiply vectors
  7. Add/Subtract/Multiply/Invert matrices
  8. Use the language and notation of elementary linear algebra

Topic Outline

  1. 1. Systems of linear equations
  2.     a. m equations in n unknowns
  3.     b. Gauss-Jordan elimination
  4.     c. Homogeneous systems of equations
  5. 2. Vectors and matrices
  6.     a. Vectors
  7.     b. Matrices
  8.     c. Matrices and linear systems of equations
  9.     d. Linear independence
  10. 3. Determinants
  11.     a. Properties
  12.     b. Inverses
  13. 4. Vector spaces
  14.     a. Properties
  15.     b. Subspaces
  16.     c. Linear combinations
  17.     d. Basis and dimension
  18. 5. Linear transformations
  19.     a. Properties
  20.     b. Rank and nullity
  21.     c. Matrix representation
  22. 6. Eigenvalues and eigenvectors
  23.     a. Eigenvalues and eigenvectors
  24.     b. Diagonalization
  25.     c. Jordan canonical form