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CIVEĀ 5109 [0.5 credit] Estimation and Identification in Dynamics using Data

Dynamical systems and their computational models, probability and stochastic processes, stochastic dynamical systems, state estimation in linear dynamics using Kalman filtering, state estimation of nonlinear dynamical systems, system identification using combined state and parameter estimation, application to engineering.
Includes: Experiential Learning Activity