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MATLAB and SCILAB for Economists, Scientists, and Engineers

X446.8 (1 semester unit in EECS)

Discover the full flexibility of these powerful platforms for mathematical computation. Explore the wonderfully concise and expressive use of MATLAB's advanced language features for data mining, financial forecasting, investment management, Monte Carlo simulation, statistical testing, pixel classifiers, predator-prey, fluid flow, and various other applications. This course covers dataset structures, optimization tips, manipulations of complex datasets, and high-performance benefits of distributed computing (using an example based on Scilab's Parallel Virtual Machine). Students gain a deep understanding and problem-solving experience with these powerful platforms. The class poses interesting engineering problems to motivate students to use advanced features of Matlab and Scilab. This is an advanced-level course that will help students harness the power of this program to solve everyday scientific and engineering problems. The course will appeal to engineers, scientists and software engineers that would like to become Matlab power users.

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Thurs. July 10, Redwood City

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