Reading courses for upper division students of high standing.

Reading courses for upper division students of high standing.

Reading courses for upper division students of high standing.

Reading courses for upper division students of high standing.

Reading courses for upper division students of high standing.

Reading courses for upper division students of high standing.

Reading courses for upper division students of high standing.

Reading courses for upper division students of high standing.

Topics selected from stochastic models, decision making under uncertainty, inventory models with random demand, waiting time models and decision problems.

The course is an introduction to stochastic processes for students who had basic probability theory (e.g. MA 320 or STA 524). It is intended to bridge the gap between basic knowledge of probability and applying such knowledge in modeling phenomena involving sequences of random variables in engineering, biology, and finance.