Stony Brook University 3 credits CME
This course aims to provide graduate-level students with a practical approach to computational methods for the development of various modeling approaches to a variety of relevant chemical, physical and engineering processes. The course will cover linear algebra, nonlinear algebraic systems, matrix eigenvalue analysis, initial value problems numerical optimization, boundary value problems; probability theory and stochastic simulations, Bayesian statistics and parameter estimation and Fourier analysis. 3 credits Grading Letter graded (A, A-, B+, etc.)
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