SE 524 - Data-Based Systems Modeling
Last offered Fall 2022
Identification and building of mathematical and computational models directly from data. Systems and model types, such as state-space and distributed-parameter; parametric estimation methods, such as regression and least-squares recent subspace identification methods; data preprocessing techniques; model validation methods. Assignment applications to a wide range of dynamical systems, including biological, electro-mechanical, and economic. Course Information: 4 graduate hours. No professional credit. Prerequisite: SE 424 and IE 300.
|Data-Based Systems Modeling||A||70211||LCD||4||1100 - 1220||M W F||206 Transportation Building||Carolyn L Beck|