The Mathematics Department has adopted the following best practices for teaching this course: offering or awarding extra-credit is forbidden, the allowance of multiple attempts at exams is forbidden, and an approved on-site proctor for online course exams is required.
A. Introduction
1. Description of Ordinary Differential Equations (ODE)
2. What constitutes a solution to an ODE
3. Conceptualizing an Initial Value Problem
4. Math modeling with ODE's
B. Solving First Order ODE's
1. Separable
2. Exact
3. Linear
4. Substitution methods
5. Modeling
C. Higher Order ODE's
1. Linear Equations
a. Homogeneous
b. Non?homogeneous
2. Reduction of order
3. Constant Coefficients
4. Undetermined Coefficients
5. Variation of Parameters
6. Cauchy?Euler Equation
7. Modeling
D. Series Solutions of Linear ODE's
1. Ordinary points
2. Singular points
3. Bessel's equation
4. Legendre's equation
E. Numerical Methods for ODE's
1. Direction Fields
2. Euler's method
3. Runge?Kutta
F. Integration of Mathematical Software
1. Finding solutions to First, Second, and Higher Order ODE’s
2. Graphing Vector/Direction fields
3. Finding and Identifying Phase Lines/Bifurcations
4. Using the software to model systems and both graph and solve these
5. Utilization of Maple, MuPad/Scientific Notebook, Textbook computational/graphing software