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Computational Science And Engineering I

Description

This course supplies the basic computational toolbox for fixing science and engineering issues. Matters embody overview of linear algebra, purposes to networks, buildings, estimation, finite distinction and finite ingredient options of differential equations, Laplace’s equation and potential circulation, boundary-value issues, Fourier collection, the discrete Fourier rework, and convolution. We may even discover many matters in AI and machine studying all through the course.


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