Uncertainty Quantification

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STAT 312 or STAT 310 or ECON 307 or STAT 315 Description: This course introduces a series of computational methods in Uncertainty Quantification (UQ), a field of growing importance across various engineering domains and beyond. Focusing on mathematical theories and numerical methods, the course will cover global sensitivity analysis, multi-fidelity Monte Carlo, and probabilistic machine learning (“surrogate”) models, such as Gaussian process and polynomial chaos expansion, with advanced topics of active learning and dimensionality reduction techniques. Graduate/Undergraduate Equivalency: CEVE 556 . Mutually Exclusive: Cannot register for CEVE 456 if student has credit for CEVE 556→CEVE 456→unlocks 0 courses

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