Computational Methods for Data

Analysis

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.

For more information and registration please visit:

https://www.coursera.org/course/compmethods