An introduction to the basic concepts of modeling complex discrete systems by computer simulation. Emphasis is on modeling and problem solving. A survey of probabilistic methods for solving decision problems under uncertainty. Probability review, queueing theory, inventory models, reliability, decision theory and games, and simulation are covered.
Emphasis is on modeling and problem solving.
Modern numerical methods and software. Emphasis is on problem solving through software and assessing the quality of solutions obtained. Topics include computer arithmetic, linear equations and least squares data fitting, interpolation, nonlinear optimization, and differential equations. The course involves extensive computer use. Directed self-study of special topics of current interest in operations research.