Applied II: Causal Inference (QTM 521)
Location: Emory University, New Psych Building, #561
Time: Tuesdays 2:30PM - 5:15PM
Semester: Spring 2024
Abstract
This is a net-new 3-credit course for Master’s and PhD students on causal inference methodologies, including directed acyclic graphs, causal discovery, potential outcomes, experimentation, selection on observables, interrupted time series, unstructured data, and applications of machine learning related to these topics. Students learn the concepts and mathematics they need to command these techniques, with a particular focus on real-world business applications.
Level
PhD and Master’s students.
Objective
Students learn theory and application of causal inference methodologies with machine learning.