GE 524

fall 2009

All Classes

Data-Based Systems Modeling

Credit: 4 hours.

Identification and building of mathematical and computational models directly from data. An overview of systems and model types, such as state-space models and distributed parameter model; parametric estimation methods, such as regression and last-squares methods; recent subspace identification methods; data preprocessing techniques; model validation methods. Applications to a wide range of dynamical systems, including biological systems, electro-mechanical systems, economic systems are reflected in assignments. Prerequisite: GE 331 and GE 424.

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- GE 100
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- GE 161
- GE 297
- GE 310
- GE 311
- GE 312
- GE 320
- GE 330
- GE 331
- GE 361
- GE 390
- GE 397
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- GE 424
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- GE 524
- GE 530
- GE 560
- GE 590
- GE 594
- GE 597
- GE 598
- GE 599

Detail	Status		CRN	Type	Section	Time	Day	Location	Instructor