Lecture 1 - Introduction to Predictive Modeling

Objectives

• Define predictive modeling.

• Explain how the mathematics of causality.

• Distinguish between aleatory and epistemic uncertainty.

• Define the uncertainty propagation problem.

• Define the model calibration problem.