Course Websites

SE 524 - Data-Based Systems Modeling

Last offered Fall 2022

Official Description

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.

Related Faculty

TitleSectionCRNTypeHoursTimesDaysLocationInstructor
Data-Based Systems ModelingA70211LCD41100 - 1220 M W F  206 Transportation Building Carolyn L Beck