This course presents elementary differential equations and
numerical methods for industrial engineers. Emphases
are placed on first-order ordinary differential equations;
linear ordinary differential equations of higher order;
power series representation and gamma functions; Laplace
and inverse transform methods; mathematical modeling,
computers, and error analysis; fundamentals of
unconstrained and constrained optimizations such as
golden-section search, quadratic interpolation, gradient
methods, and linear programming; least-squares
regression; interpolation. Some heuristic algorithms such
as Simulated Annealing, Particle Swarm Optimization,
etc., will also be introduced. The implementation of
these techniques using mathematical software packages,
e.g., MATLAB and/or LINGO, for Industrial Engineering
applications will also be covered.