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AMATH 563 A: Inferring Structure Of Complex Systems

Meeting Time: 
MWF 11:30am - 12:20pm
Location: 
MEB 246
SLN: 
10237
Instructor:
J. Nathan Kutz
J. Nathan Kutz
Catalog Description: 
Introduces fundamental concepts of network science and graph theory for complex dynamical systems. Merges concepts from model selection, information theory, statistical inference, neural networks, deep learning, and machine learning for building reduced order models of dynamical systems using sparse sampling of high-dimensional data. Prerequisite: AMATH 561 and AMATH 562, or instructor permission Offered: Sp.
Credits: 
5.0
Status: 
Active
Last updated: 
March 28, 2018 - 9:20pm
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