Policy Analysis: Modeling & Simulation

This course shows how models are built and used for public policy making and clinical decision analysis. The goal is for you to develop basic skills with building various types of models. Models include the optimization method of linear programming, spreadsheets with various types of randomness, bootstrapping data to estimate how much a model’s results may vary, discrete event modeling, queuing, Markov models, and an introduction to some advanced models using Netlogo and Python programming.

Credits

3 credits

Course Code

HPO 791