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CS 3430 - Scientific Computing (DSC/QI)

DSC, QI Depth Life and Physical Sciences, Quantitative Intensive
3 credit(s)

This course examines algorithms and theories to solve numerical problems. Topics include linear systems, lu-decomposition, linear programming, differentiation, newton-raphson algorithm, richardson extrapolation, romberg integration, gradients, histograms, entropy, decision trees, random number generation, time series comparison, and visualization.

Prerequisite(s):

Repeatable for credit: No
Grade Mode: Standard

Course changes effective: Summer 2021


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