Math& 204 ~ Elementary Linear Algebra | ||

Course Description Pre-requisite Mode of Delivery (Modes) Offered Required for: ## Course Content
1.2 Row Reduction and Echelon Forms 1.3 Vector Equations 1.4 The Matrix Equation Ax = b1.5 Solution Sets of Linear Systems1.6 Applications of Linear Systems 1.7 Linear Independence 1.8 Introduction to Linear Transformations 1.9 The Matrix of a Linear Transformation 1.10 Linear Models in Business, Science, and Engineering
2.1 Matrix Operations
3.2 Properties of Determinants 3.3 Cramer’s Rule, Volume, and Linear Transformations
4.2 Null Spaces, Column Spaces, and Linear Transformations 4.3 Linearly Independent Sets; Bases 4.4 Coordinate Systems 4.5 The Dimension of a Vector Space 4.6 Rank 4.7 Change of Basis 4.8 Applications to Difference Equations 4.9 Applications to Markov Chains
5.1 Eigenvectors and Eigenvalues
6.2 Orthogonal Sets 6.3 Orthogonal Projections 6.4 The Gram—Schmidt Process |