The course presents basic techniques of decision-making concentrating on both theoretical and modeling aspects. The focus of the course is modeling problem structure, uncertainty, and preference in the context of decision-making. Topics include influence diagrams, decision trees, sensitivity analysis, assessing subjective probability, value of information, risk attitudes, value theory, utility theory and multi-attribute decision models in a decision environment. A series of design exercises provides a key bridge between the mathematical theory and the application of skills to an open-ended decision problem. Communication skills are developed with both written reports and oral presentations. Cadets will spend six to ten lessons in a computer lab environment.
Lessons
40 @ 55 min (2.500 Att/wk)
Labs
0 @ 0 min
Special requirements
Course design project; compensatory time provided.
