|Day & Time
750 Schapiro [SCEP]
|Method of Instruction||In-Person|
Causal Inference theory and applications. The theoretical topics include the 3-layer causal hierarchy, causal bayesian networks, structural learning, the identification problem and the do-calculus, linear identifiability, bounding, and counterfactual analysis. The applied part includes intersection with statistics, the empirical-data sciences (social and health), and AI and ML.
|Enrollment||35 students (60 max) as of 9:06PM Wednesday, November 29, 2023|
|Division||School of Engineering and Applied Science: Graduate|