In this course, students will learn about three ways in which data can be modeled in the application of construction management: statistical, probabilistic, and process. Statistical analysis — statistical analysis will be reviewed as a means to determine and communicate the characteristics of data. Probabilistic models (Bayesian Networks) — students will learn about BNs, understand the way in which they model data, their strengths and shortcomings, and their application in a construction context. Simulation modeling — students will learn how discrete event simulation engines work. They will learn to build a model for a construction operation, understand their strengths and shortcomings, and process input and output data.