Nov 22, 2024  
Catalog 2023-2024 
    
Catalog 2023-2024 [ARCHIVED CATALOG]

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.

This course meets the Quantitative Reasoning  general education distribution requirement.

Prerequisites: MATH& 142  

Course Outcomes
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

General Education Distribution Area Outcomes
Students who successfully complete courses in the Quantitative Reasoning distribution area will be able to:

  • Gather, organize, and interpret data using multiple approaches
  • Develop and use mathematical models to describe and evaluate physical situations
  • Communicate problem-solving strategies and mathematically justify solutions
  • Select and utilize appropriate technology to analyze mathematical problems

Total Hours: 50 Theory (Lecture) Hours: 50