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MSE 510 - Mathematical and Numerical Problem Solving Skills for Materials Scientists and Engineers

3 Credit Hours
Explores the intersection of mathematical methods, machine learning (ML), and Bayesian techniques for physical sciences, equipping participants with skills needed for modern scientific challenges in industry or advanced study. Students will gain proficiency in scientific Python, solve complex equations, and master data analysis tools, with a focus on Bayesian methods, causal analysis, and probabilistic decision-making. Graduate students will complete a project with specific course requirements.
Credit Restriction: Students cannot receive credit for both MSE 420 and MSE 510.

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