Course Number: 95-760
Decision Making Under Uncertainty
Managers in general, including information systems managers, constantly make decisions. Rarely are they lucky enough to have "full information ". Decision making under uncertainty is the norm. This class teaches a range of quantitative methods for making practical decisions under uncertainty, and in doing so gives an intense introduction into the art of mathematical modeling of business and social systems. The methods covered include forecasting, queuing theory and Monte Carlo simulation. Some deterministic optimization methods will also be covered. The emphasis will be on "end user modeling " that equips the students to use these methods to inform his or her own future decision making, but where appropriate will be extended to consider construction of decision support systems generally.