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
|
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