Fall 2023 Computer Science W4775 section 001

Causal Inference

Call Number 11242
Day & Time
Location
MW 4:10pm-5:25pm
750 Schapiro [SCEP]
Points 3
Grading Mode Standard
Approvals Required None
Instructor Elias Bareinboim
Type LECTURE
Method of Instruction In-Person
Course Description

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.

Web Site Vergil
Department Computer Science
Enrollment 35 students (60 max) as of 9:06PM Wednesday, November 29, 2023
Subject Computer Science
Number W4775
Section 001
Division School of Engineering and Applied Science: Graduate
Campus Morningside
Section key 20233COMS4775W001