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An introductory course covering core data science concepts and tools for mechanical engineers.
Credits: 1 credit
When offered: Every semester
A probabilistic introduction to scientific machine learning, uncertainty, and physics-informed modeling.
Advanced topics in scientific ML, Bayesian inference, and modern probabilistic modeling workflows.