MATH 316, Applied ODEs
## General descriptionThe behavior of many physical systems can be mathematically modeled by ordinary differential equations (ODEs). Mathematical models based on ODEs occur frequently in science and engineering. Examples include Newton's second law, chemical kinetics, and control theory. ODEs are also important for solving more complex mathematical models described by partial differential equations (PDEs). In this course we will study the theory and computation of ODEs with a wide range of applications. We will learn different analytical and numerical methods for solving ODEs. Numerical methods are often needed when deriving explicit formulas for solutions is not possible. In such cases, we employ numerical methods to compute approximate solutions of ODEs.Syllabus Tentative schedule of lectures
## InstructorMohammad Motamed
## Instructor's office hours1) Tu 14.00-15.00 2) W 12.00-14.00 3) by appointment
## Teaching AssistantKyle Henke (TA's office hours: Fridays 12.00 - 13.00 @ SMLC 206)
## Text bookW. E. Boyce and R. C. DiPrima, Elementary Differential Equations, 9th or 10th edition, Wiley (required)
## Course MaterialIntegral TableMATLAB Tutorial Chapter 1. Code 1 Code 2 Code 3 Example on linearity Derivative of ln Chapter 2. Code 1 Code 2 Example on integrating factor Chapter 3.
Example 1 on inhomogeneous ODEs
Example 2 on inhomogeneous ODEs
## HomeworkHomework Report Format HW1 (due January 25th) On Matlab HW2 (due February 6th) On Chapter 1 HW3 (due February 22nd) On Chapter 2 HW4 (due March 1st) On Chapter 3 HW5 (due March 6th) On Chapter 3 HW6 (due Mar. 20th) On Chapter 6
## Exams
motamed@math.unm.edu |