Causal Modeling Spring 2015 |

**Theoretical**. This section focuses on proofs of the key mathematical properties of causal models. We'll begin with some papers that preceded Judea Pearl's*Causality*(2000/2009), and then turn to the view developed therein.*Causality*will be an important conceptual centerpiece throughout the entire course.

**Computational**. This (shorter) section introduces actual causal modeling with both artificial and real data sets, using the R package pcalg. Our primary purpose will be to consider some fully concrete examples of causal modeling and its results, to help illustrate matters that arise in the other two parts of the course.

**Philosophical**. This section covers some prominent and recent philosophical work on causal modeling. Although there is considerable flexibility in what we discuss, we will probably pay substantial attention to James Woodward's*Making Things Happen*(2003). Depending on participants' interests, we may also consider, e.g., some of Nancy Cartwright's work on this topic, David Danks' recent (2014) book, etc.