Catalog Description: Systems of linear equations, matrices and
determinants. Vector spaces and linear transformations.
Eigenvalues, eigenvectors, diagonalization of a symmetric matrix.
Prerequisites : Math 135 and Math 152 with grade of C or higher.
Textbook: Elementary Linear Algebra, 6th edition, by Larson, Edwards, and
Falvo.
Course Outline and Topics
Chapter 1: Systems Of Linear Equations
1.1: Introduction to Systems of Linear Equations
1.2: Gaussian Elimination and Gauss -Jordan Elimination
1.3: Applications of Systems of Linear Equations
Chapter 2: Matrices
2.1: Operations with Matrices
2.2: Properties of Matrix Operations
2.3: The Inverse of a Matrix
2.4: Elementary Matrices
Chapter 3: Determinants
3.1: The Determinant of a Matrix
3.2: Evaluation of a Determinant Using Elementary Operations
3.3: Properties of Determinants
3.4: Introduction to Eigenvalues
Chapter 4: Vector Spaces
4.1: Vectors in Rn
4.2: Vector Spaces
4.3: Subspaces of Vector Spaces
4.4: Spanning Sets and Linear Independence
4.5: Basis and Dimension
4.6: Rank of a Matrix and Systems of Linear Equations
4.7: Coordinates and Change of Basis
Chapter 5: Inner Product Spaces
5.1: Length and Dot Product in R n
5.2: Inner Product Spaces
5.3: Orthonormal Bases: Gram-Schmidt Process
Chapter 6: Linear Transformations
6.1: Introduction to Linear Transformations
6.2: The Kernel and Range of a Linear Transformation
6.3: Matrices for Linear Transformations
6.4: Transition Matrices and Similarity
Chapter 7: Eigenvalues And Eigenvectors
7.1: Eigenvalues and Eigenvectors
7.2: Diagonalization
7.3: Symmetric Matrices and Orthogonal Diagonalization
