MAT2233

From Department of Mathematics at UTSA
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A comprehensive list of all undergraduate math courses at UTSA can be found here.

The Wikipedia summary of Linear Algebra and its history.

Topics List

Date Sections Topics Prerequisite Skills Student Learning Outcomes
Week 1/2
1.1, 1.2, and 1.3

Systems of Linear Equations

  • Adding and subtracting equations
  • Solving an equation for a specifed variable
  • Equation for a line


  • Vectors and Matrices
  • Gauss-Jordan elimination
  • Rank of a matrix
  • Matrix addition
  • The product Ax
  • Inner product
  • Linear Combinations


Week 3/4
2.1, 2.2, 2.3, and 2.4


Linear Transformations

  • Basics of functions
  • Inverse functions and the identity function
  • Vectors and the Inner product
  • Linear transformations and their properties
  • Geometry of Linear Transformations (rotations, scalings and projections)
  • Matrix Products
  • The Inverses of a linear transform


Week 5/6
3.1, 3.2, and 3.3

Bases and Linear Independence

  • Linear Combinations
  • Dimension in Rn
  • Image and kernel of a function
  • Image and Kernel of a linear transformation
  • Span of a vector set
  • Subspace of Rn
  • Linear independence and basis
  • Dimension
  • Rank-nullity Theorem
Week 7/8
3.4


Similar Matrices and Coordinates

  • Conics (ellipses in particular)
  • Equivalence Relations
  • Coordinates in a subspace of Rn
  • Similar matrices
  • Diagonal matrices


Week 9/10
5.1, 5.2, 5.3, and 5.4


Orthogonality

  • Parallel and perpendicular lines
  • Absolute value function
  • Basic trigonometric function
  • Properties of inner products
  • Perpendicular vectors
  • Magnitude of vectors
  • Transpose of a Matrix
  • Orthonormal vectors
  • Orthogonal Projection
  • Orthonormal Bases
  • Gram-Schmidt process
  • The Least Squares solution


Week 11/12
6.1, 6.2, and 6.3


Determinants

  • Summation notation
  • Sgn function
  • Properties of Determinants
  • Row operations and determinants
  • Invertibility based on determinant
  • Geometric Interpretation of the Determinant
  • Cramer's rule


Week 13/14
7.1, 7.2, 7.3, and 8.1


Eigenvalues and Eigenvectors

  • Finding real roots of a polynomial
  • Finding the kernel of a function
  • Diagonalization
  • Finding eigenvalues
  • Finding eigenvectors
  • Geometric and algebraic multiplicity
  • Spectral Theorem