(Each section will be covered in about one class hour.)

• Chapter 1: Linear Equations in Linear Algebra
• 1.1 Systems of Linear Equations
• 1.2 Row Reduction and Echelon Forms
• 1.3 Vector Equations
• 1.4 The Matrix Equation Ax=b
• 1.5 Solution Sets of Linear Systems
• 1.6 Applications
• 1.7 Linear Independence
• Chapter 2:
• 2.1 Matrix Operations
• 2.2 The Inverse of a Matrix
• 2.3 Characterizations of Invertible Matrices
• 2.6 The Leontief Input-Output Model
• Chapter 3: Determinants
• 3.1 Introduction to Determinants
• 3.2 Properties of Determinants
• 3.3 Cramer's Rule, Volume, and Linear Transformations
• Chapter 4: Vector Spaces
• 4.1 Vector Spaces and Subspaces
• 4.2 Null spaces, Column Spaces, and Linear Transformations
• 4.3 Linearly Independent Sets: Bases
• 4.5 The Dimension of a Vector Space
• 4.6 Rank
• Chapter 5: Eigenvalues and Eigenvectors
• 5.1 Eigenvalues and Eigenvectors
• 5.2 The Characteristic Equation
• 5.3 Diagonalization
• Chapter 6: Orthogonality and Least Squares
• 6.1 Inner Product, Length, and Orthogonality
• 6.2 Orthogonal Sets
• 6.3 Orthogonal Projections
• 6.5 Least Squares Problems
• 6.6 Applications to Linear Models