INFO 6751 - [Causal Inference in Observational Settings]

Fall. Not offered: 2024-2025. Next offered: 2025-2026. 3 credits. Student option grading.

Prerequisite: familiarity with basic probability and statistics (e.g., random variables, expectation, confidence intervals).

Staff.

This course will equip students to conduct causal research, with an emphasis on observational settings. The course focuses on defining a causal question, defending causal assumptions, and estimating the target quantity. These steps will be discussed in the potential outcomes framework and the structural causal modeling framework. A theme of the course is that one should design an observational study to mimic a hypothetical randomized experiment. Students will leave the course prepared to evaluate the credibility of causal claims, answer causal questions in their own research, and engage with new methods for causal inference.

Outcome 1: Students will learn to evaluate the credibility of causal claims.

Outcome 2: Students will learn to answer causal questions in their own research.

Outcome 3: Students will learn to engage with new methods for causal inference.