Analysis and Prediction

Catalog description

Credits 3. 3 Lecture Hours. Data-mining methods and data-driven models; statistical model building and parameter estimation for Markov processes; sampling of dynamic systems with random disturbances; on-line identification algorithms; design of time-series control charts for process monitoring; multivariate analysis; applications using real data. Prerequisite: ISEN 609 .