CSC 340 - Scientific Computing Credits: 3
Prerequisites: CSC 231 with a grade of ‘C’ or better and MAT 162 . Introduction to the design, application, and performance of numerical algorithms fundamental to scientific computation. Topics may include error and error propagation; matrix applications such as finding solutions to linear systems, finding eigenvalues and eigenvectors, or finding linear principal components; optimization; basic Markov modeling; Fourier processing; and curve fitting. Emphasizes relative merits and implementations of algorithms.
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