2.10.1  
Management Decision Models  
home page  
The primary objective of this course is to expose students to a diversity of techniques for aiding decisionmaking. It emphasizes exercises that provide both experience with making decisions and data for analysis of decisionmaking. Concepts of observation, factorization, open systems, possible worlds, state, function, boundary, constraint, stability, identity, simulation, and virtuality. Models from measurement theory, regression, inferential statistics, nonparametrics, game theory, logic, algebra, computational languages, artificial intelligence, knowledge engineering, situated activity, and boundary mathematics. 



math foundations  
formal methods  
artificial intelligence  
algorithms  
languages  
HCI  
interface  
computer graphics  
computer ethics  
UW virtual worlds  


These course notes are primarily experiential exercises that give rise to class discussion of the principles and difficulties of decisionmaking. The course follows an "experience then discuss" model rather than a "listen then repeat" model. Topics 
