<br> <br> 1. Matrices and Determinants. <br> <p> </p>Systems of Linear Equations. <p> </p> <p> </p>Matrices and Matrix Operations. <p> </p> <p> </p>Inverses of Matrices. <p> </p> <p> </p>Special Matrices and Additional Properties of Matrices. <p> </p> <p> </p>Determinants. <p> </p> <p> </p>Further Properties of Determinants. <p> </p> <p> </p>Proofs of Theorems on Determinants. <p> </p> <br> <br> 2. Vector Spaces. <br> <p> </p>Vector Spaces. <p> </p> <p> </p>Subspaces and Spanning Sets. <p> </p> <p> </p>Linear Independence and Bases. <p> </p> <p> </p>Dimension; Nullspace, Rowspace, and Column Space. <p> </p> <p> </p>Wronskians. <p> </p> <br> <br> 3. First Order Ordinary Differential Equations. <br> <p> </p>Introduction to Differential Equations. <p> </p> <p> </p>Separable Differential Equations. <p> </p> <p> </p>Exact Differential Equations. <p> </p> <p> </p>Linear Differential Equations. <p> </p> <p> </p>More Techniques for Solving First Order Differential Equations. <p> </p> <p> </p>Modeling With Differential Equations. <p> </p> <p> </p>Reduction of Order. <p> </p> <p> </p>The Theory of First Order Differential Equations. <p> </p> <p> </p>Numerical Solutions of Ordinary Differential Equations. <p> </p> <br> <br> 4. Linear Differential Equations. <br> <p> </p>The Theory of Higher Order Linear Differential Equations. <p> </p> <p> </p>Homogenous Constant Coefficient Linear Differential Equations. <p> </p> <p> </p>The Method of Undetermined Coefficients. <p> </p> <p> </p>The Method of Variation of Parameters. <p> </p> <p> </p>Some Applications of Higher Order Differential Equations. <p> </p> <br> <br> 5. Linear Transformations and Eigenvalues and Eigenvectors. <br> <p> </p>Linear Transformations. <p> </p> <p> </p>The Algebra of Linear Transformations; Differential Operators and Differential Equations. <p> </p> <p> </p>Matrices for Linear Transformations. <p> </p> <p> </p>Eigenvectors and Eigenvalues of Matrices. <p> </p> <p> </p>Similar Matrices, Diagonalization, and Jordan Canonical Form. <p> </p> <p> </p>Eigenvectors and Eigenvalues of Linear Transformations. <p> </p> <br> <br> 6 Systems of Differential Equations. <br> <p> </p>The Theory of Systems of Linear Differential Equations. <p> </p> <p> </p>Homogenous Systems with Constant Coefficients: The Diagonalizable Case. <p> </p> <p> </p>Homogenous Systems with Constant Coefficients: The Nondiagonalizable Case. <p> </p> <p> </p>Nonhomogenous Linear Systems. <p> </p> <p> </p>Converting Differential Equations to First Order Systems. <p> </p> <p> </p>Applications Involving Systems of Linear Differential Equations. <p> </p> <p> </p>2x2 Systems of Nonlinear Differential Equations. <p> </p> <br> <br> 7. The Laplace Transform. <br> <p> </p>Definition and Properties of the Laplace Transform. <p> </p> <p> </p>Solving Constant Coefficient Linear Initial Value Problems with Laplace Transforms. <p> </p> <p> </p>Step Functions, Impulse Functions and the Delta Function. <p> </p> <p> </p>Convolution Integrals. <p> </p> <p> </p>Systems of Linear Differential Equations. <p> </p> <br> <br> 8. Power Series Solutions to Linear Differential Equations. <br> <p> </p>Introduction to Power Series Solutions. <p> </p> <p> </p>Series Solutions for Second Order Linear Differential Equations. <p> </p> <p> </p>Euler Type Equations. <p> </p> <p> </p>Series Solutions Near a Regular Singular Point. <p> </p> <br> <br> 9. Inner Product Spaces. <br> <p> </p>Inner Product Spaces. <p> </p> <p> </p>Orthonormal Bases. <p> </p> <p> </p>Schur's Theorem and Symmet