This course explores basic quantitative techniques used in managerial decision-making. The course studies how to select appropriate decision criteria and how to make decisions under uncertainty. Students apply and interprets outputs from resource allocation techniques such as linear programming, queuing theory and simulation techniques as they formulate and support their recommendations. Goal programming and dynamic programming are introduced, as well as the appropriate application of these techniques. (Lec 1, CST 0.5) cr 3.