The course presents basic techniques of decision-making concentrating on both theoretical and modeling aspects. This course develops innovative systems engineers who can integrate the art and science of decision making for single and multiple objective environments to support the Decision Making phase of the Systems Decision Process (SDP). The focus of the course is modeling problem structure, uncertainty, risk and preference in the context of decision-making. Topics include mathematical foundations and axioms of decision analysis, influence diagrams, decision trees, simulation, sensitivity analysis, subjective probability assessments, value of information, classification of risk attitude given uncertainty. Cadets will also use value focused thinking to support decisions in multiple objective and resource allocation environments. A series of several computer laboratory exercises provides a key bridge between the mathematical theory and the application of skills to open-ended decision problems. Communication skills are developed with both written reports and oral presentations.
Lessons
30 @ 75 min (2.000 Att/wk)
Labs
0 @ 0 min
Special requirements
Course design project; compensatory time provided.
