Computational Methods for Data Analysis
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Computational Methods for Data Analysis
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Description
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Exploratory and objective data analysis methods applied to the physical, engineering, and biological sciences.
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 KutzPhD, Applied Mathematics, Northwestern University
J. Nathan Kutz specializes in a unified approach to applied mathematics including modeling, computation and analysis. His cu…
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When you enroll for courses through Coursera you get to choose for a paid plan or for a free plan .
- Free plan: No certicification and/or audit only. You will have access to all course materials except graded items.
- Paid plan: Commit to earning a Certificate—it's a trusted, shareable way to showcase your new skills.
Exploratory and objective data analysis methods applied to the physical, engineering, and biological sciences.
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 KutzPhD, 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.Provided by:
University: University of Washington
Instructor(s): Nathan Kutz
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