SE 524
SE 524 - Data-Based Systems Modeling
Fall 2022
| Title | Rubric | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
|---|---|---|---|---|---|---|---|---|---|
| Data-Based Systems Modeling | SE524 | A | 70211 | LCD | 4 | 1100 - 1220 | M W F | 206 Transportation Building | Carolyn L Beck |
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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.