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In this program

Elementary probability models for uncertainty
Monte Carlo simulation (introduction)
Markov chains for simple stochastic models
Regression
Calibration of model parameters
Confidence intervals
Prediction in applied settings

Probabilistic and statistical models

Prediction in applied settings

Mathematical modeling · Standard syllabus

Topic

Prediction in applied settings

Practice by unit: Probabilistic and statistical models

Undergraduate Mathematical Modeling — scope drawn from open modeling texts and typical US math modeling course outlines.

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