Prerequisites: graduate standing or consent of instructor

Description: For the ME 234 online section; enrollment in the Online Master-in-Science in Engineering program; graduate standing; or consent of instructor. Introduces methods and techniques for data-driven modeling and control of dynamical systems. Topics include prediction- error modeling, subspace methods, non- parametric modeling, experiment design, model validation, model-predictive control, model-free control, and hyperdimensional methods for modeling and control of nonlinear systems. May be Taken Satisfactory (S) or No Credit (NC) by students advanced to candidacy for the Ph.D.