Decision making under risk covering expected monetary value, expected opportunity loss, probability distributions, and solved problems with applications.
Introduction to decision theory covering decision alternatives, states of nature, payoffs, decision environments, and decision-making under certainty.
Queuing theory fundamentals covering arrival and service distributions, Kendall’s notation, operating characteristics, Poisson queuing models, and steady-state analysis.
Game theory solution methods covering saddle point determination, dominance concept, pure and mixed strategies, and solution rules for games.
Duality in linear programming covering primal-dual relationships, shadow prices, economic interpretation, conversion rules, and primal-dual theorems.