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May 13, 2024
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CSDP 442 Numerical Analysis IICredit 3
This course extracts numerical solutions of systems of equations by direct and iterative methods, ordinary differential equations, optimization, evaluation of determinants, matrix inversion, and calculation of eigenvalues and eigenvectors, and partial differential equations. This course makes use of the powerful MATLAB software utilizing a more practical approach to link every method to real engineering and/or science problems without deriving theoretical concepts. Prerequisite(s): A grade of ‘C’ or better in CSDP 341 and MATH 212 .
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