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Fall 2020 Computer Science W4775 section 001
Causal Inference

Call Number 21899
Day & Time
Location
MW 4:10pm-5:25pm
717 Hamilton Hall
Points 3
Grading Mode Standard
Approvals Required None
Instructor Elias Bareinboim
Type LECTURE
Method of Instruction Hybrid
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 45 students (60 max) as of 5:07PM Thursday, September 17, 2020
Subject Computer Science
Number W4775
Section 001
Division School of Engineering and Applied Science: Graduate
Campus Morningside
Section key 20203COMS4775W001

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SIS update 09/17/20 17:07    web update 09/17/20 21:19