Scientific Computing
J. Nathan Kutz
Investigate the flexibility and power of project-oriented computational analysis, and enhance communication of information by creating visual representations of scientific data.Sign Up
About the Course
Investigate the flexibility and power of project-oriented computational analysis. Practice using this technique to resolve complicated problems in a range of fields including the physical and engineering sciences, finance and economics, medical, social and biological sciences. Enhance communication of information by creating visual representations of scientific data.
Take a project-oriented computational approach to solving problems in the physical and engineering sciences, finance and economics, medical, social and biological sciences. Apply advanced MATLAB routines and toolboxes to resolve problems. Review and practice graphical techniques for information presentations and learn to create visual illustrations of scientific results.
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.
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