Text: Advanced Engineering Mathematics, 4th edition by Zill and Wright
There should be 2 or 3 tests, perhaps a review day or two.
The topics break up into
three main topics of about 3 weeks each, plus a short section on numerical methods.
| Topics | Sections | Time |
| Chapter 1 - Ordinary Differential Equations | 1.1-1.3 | 2 days |
Chapter 2 - First-Order Differential Equations |
2.1-2.3 | 5 days |
Chapter 17 - Complex Numbers |
17.1,17.2 | 2 days |
| Chapter 3 - Higher-Order Differential Equations | 3.1, 3.3, 3.4, 3.8 | 12 days |
| Chapter 4 - Laplace Transforms | 4.1-4.5 | 12 days |
| Chapter 6 - Numerical Methods | 6.1, 6.2 | 2 days |
| Tests, Review and Spare days | 5 days |
1. Introduction to Differential Equations
1.1 Definitions and Terminology
1.2 Initial-Value Problems
1.3 Differential Equations as Mathematical Models
2. First-Order Differential Equations
2.1 Solution Curves Without a Solution
2.1.1 Direction Field
2.1.2 Autonomous First-Order DEs
2.2 Separable Equations
2.3 Linear Equations
17. Complex Numbers
17.1 Complex Numbers
17.2 Powers and Roots
3. Higher-Order Differential Equations
3.1 Theory of Linear Equations
3.1.1 Initial-Value and Boundary-Value Problems (boundary value problems optional)
3.1.2 Homogeneous Equations
3.1.3 Nonhomogeneous Equations
3.3 Homogeneous Linear Equations with Constant Coefficient
3.4 Undetermined Coefficients
3.8 Linear Models: Initial-Value Problems
3.8.1 Spring/Mass Systems: Free Undamped Motion
3.8.2 Spring/Mass Systems: Free Damped Motion
3.8.3 Spring/Mass Systems: Driven Motion
3.8.4 Series Circuit Analogue
4. Laplace Transform
4.1 Definition of Laplace Transform
4.2 Inverse Transform and Transforms of Derivatives
4.2.1 Inverse Transforms
4.2.2 Transforms of Derivatives
4.3 Translation Theorems
4.3.1 Translation on the s-axis
4.3.2 Translation of the t-axis
4.4 Additional Operational Properties
4.4.1 Derivatives of Transforms
4.4.2 Transforms of Integrals
4.4.3 Transform of Periodic Function
4.5 The Dirac Delta Function
6. Numerical Solutions of Ordinary Differential Equations
6.1 Euler Methods and Error Analysis
6.2 Runge Kutta Methods