AMS 361, Applied Calculus IV: Differential Equations
Catalog Description: Homogeneous and inhomogeneous linear differential equations; systems of linear differential
equations; solution with power series and Laplace transforms; partial differential
equations and Fourier series. May not be taken for credit in addition to the equivalent
Prerequisite: AMS 161 or MAT 127 or 132 or 142
AMS 361 Instructor webpage
"Lectures, Problems and Solutions for Ordinary Differential Equations" by Yuefan Deng, World Scientific, Second Edition; October 14, 2017;
ISBN: 978-981-3226-13-5 (paperback)
Lecture notes will also be provided.
Recommended Only Textbook:
"Elementary Differential Equations and Boundary Value Problems" by C. Henry Edwards & David E. Penney, 6th edition, Pearson Education, Inc., 2008; ISBN: 978-0136006138
1. Exact methods and homogeneous linear differential equations -- 6 classes
2. Methods of approximate solution of differential equations –- 6 classes
3. Nonhomogeneous linear differential equations –- 6 classes.
4. Systems of linear differential equations and matrices -- 6 classes
5. Solutions with Laplace transforms –- 6 classes.
6. Solutions with power series and special functions -- 4 classes
7. Partial differential equations and separation of variables – 4 classes.
8. Examinations and Review – 4 classes.
Learning Outcomes for AMS 361, Applied Differential Equations
1.) Build differential equations models of phenomena in:
* physical sciences;
* biological sciences;
2.) Demonstrate skill with solution methods for first-order ordinary differential
* linear equations;
* separable and exact nonlinear equations.
3.) Demonstrate skill with solution methods of second- and higher order ordinary differential
* homogeneous equations with constant coefficients;
* non-homogenous equations;
* methods of undetermined coefficients and variation of parameters;
* series solutions;
* using the theory Laplace transforms to solve differential equations.
4.) Demonstrate skill with the theory for solving systems of first-order linear differential equations.
* mastery of necessary tools of matrix algebra;
* basic theory of vector-valued solutions;
* solving homogeneous linear system with constant coefficients, including complex and repeated eigenvalues;
5.) Use computer software techniques to validate analytical solutions, and to visualize solutions of differential equations.