Mit Computational Science And Engineering

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COURSE DESCRIPTION Review of linear algebra, applications to networks, structures, and estimation, finite difference and finite element solution of differential equations, Laplace's equation and potential flow, boundary-value problems, Fourier series, discrete Fourier transform, convolution. Use of MATLAB/PYTHON/JULIA in a wide range of scientific and engineering applications. Prerequisites: Calculus and some linear algebra Text Book: Computational Science and Engineering, by Gilbert Strang (MIT COOP)()(Office) Book Website: OCW Video Lectures site.

EVALUATION Grades: 40% problem sets, 60% three in-class quizzes (20% each). No Final Exam. Problem Sets: Due at start of class on Thursday, unless otherwise noted. The homework problem sets will consist of both theoretical and numerical questions. No late copy will be allowed, but the lowest score will be dropped.

Please use MATLAB notation to describe algorithms. Use of MATLAB/PYTHON/JULIA for tedious calculations is encouraged, however you need to know how to do the basic algorithms taught in the course by hand (at least for small matrices) for the quizzes.

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For example, camera $50.$100. Combine searches Put 'OR' between each search query. For example, marathon OR race. • • • • • • • • Textbook Chapters Below are two excerpts from the textbook for this course ( Strang, Gilbert. Computational Science and Engineering. Wellesley, MA:, 2007.

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