Course Learning Objectives

Therefore the objective of this class is to aid inquisitive minds in:

• Identifying mathematical building blocks to model a system
• Quantifying uncertainty in systems using frequentist and Bayesian approaches
• Analyzing decisions made under uncertainty using decision trees, the fractile method, the partitioned multi-objective risk method (PMRM) and population dynamics models
• Conducting multi-objective trade-off analysis using the surrogate worth trade-off (SWT) method and uncertainty sensitivity index method (USIM)
• Assessing reliability of service systems using fault tree analysis with an introduction to failure modes and effects analysis

The class will build on previous course work within the SSE curriculum. Specifically, lessons learnt in SSE 2300 - Characterizing uncertainty and understanding of the behavior of stochastic and dynamic systems; and SSE 3600 - Methods in decision analysis and multi-objective optimization. In addition this class will provide students skills that will complement lessons learnt in SSE 3500: Operations Management and SSE 4300: Project Management.