Introduction to Dynamic Modeling

Catalog description

Modeling is not merely mathematics, computing, or statistics. It is the art of formalizing questions that are novel, revealing, and testable, and whose answers are unexpected, replicable, and consequential. Dynamic models concern how systems unfold in time. This course expands students' scientific perspectives, highlighting strengths, weaknesses, and synergies across dynamic modeling approaches, with diverse applications from infectious diseases to wealth inequality to contagious violence.