Description

Basic concepts of optimization are introduced as aids in systematic decision making in engineering contexts. Deterministic optimization is developed in the form of linear and integer programming and their extensions. Probabilistic models are introduced in terms of Markov chains, queuing and inventory theory, and stochastic simulation. The course emphasizes the application of these methods to the design, planning, and operation of complex industrial and public systems.

Prerequisites

MATH 8 and MATH 22 or equivalent

Distribution Code

TAS