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Principles and practices of basic numerical computation as a key aspect of scientific computation. Visualization of results. Approximation by splines, fast Fourier transforms, solution of linear and nonlinear equations, differential equations, floating point number systems, error, stability. Presented in the context of specific applications to image processing, analysis of data, scientific modeling.
This is a very math-heavy course, with MatLab involved on midterm and assignments. Midterm and final are openbook, but they are NOT easy, and long. Only take this if you REALLY want to do graphics...otherwise avoid.
Added by Anonymous on 2011-12-26 01:55:19