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Computational Methods for Data Analysis

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Nathan Kutz

Exploratory and objective data analysis methods applied to the physical, engineering, and biological sciences.

Current Session:

Jan 7th 2013 (10 weeks long) Sign Up

About the Course

Exploratory and objective data analysis methods applied to the physical, engineering, and biological sciences. Brief review of statistical methods and their computational implementation for studying time series analysis, spectral analysis, filtering methods, principal component analysis, orthogonal mode decomposition, and image processing and compression.

About the Instructor(s)

J. Nathan Kutz
 

PhD, Applied Mathematics, Northwestern University

J. Nathan Kutz specializes in a unified approach to applied mathematics including modeling, computation and analysis. His current focus is phenomena in dimensionality reduction and data-analysis techniques for complex systems. This includes work in laser dynamics and modelocking in fiber lasers, neuro-sensory systems and theoretical neuroscience, and gesture recognition algorithms for portable electronic devices. Kutz has authored numerous scientific articles on these subjects as well as segments of books devoted to his area of expertise.

Recommended Background

Solid background in ODEs and familiarity with PDEs and MATLAB.
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