This course is an introduction to constraint programming, from its modeling language to its computational methodology and its applications to scheduling, routing, and resource allocation.

Topics include component reliability and lifetime distributions, hazard rates, system reliability, covariate reliability models, state-dependent models, nonparametric models, statistical estimation and inference, maintenance management and repair processes.

Courses in special topics of timely interest to the profession, conducted by resident or visiting faculty.

Independent research conducted under the guidance of a faculty member.

Regression analysis: multiple linear regression, diagnostics, and variable selection. Forecasting: exponential smoothing techniques and autoregressive moving average models.

Topics include modeling with networks and graphs; linear, nonlinear, and integer programming, construction of models employing modern modeling languages; and general solution strategies.

Introduce emerging techniques for systems and systems-of-systems analysis including IPPD, DOE, Taguchi methods, response surface equations, multi-attribute decision making, and concept feasibility assessment.

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