Scientific Machine Learning

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CMOR 304 and ( CMOR 303 or CMOR 302 ) Description: Introduction to scientific machine learning and its application to physical problems. Mathematical and numerical models of physical systems are integrated with machine learning approaches to develop physics-based or numerics-based data-driven methods for the solution of science and engineering problems. Graduate/Undergraduate Equivalency: CMOR 517 . Mutually Exclusive: Cannot register for CMOR 417 if student has credit for CMOR 517→CMOR 417→unlocks 0 courses

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