Directory of Classes

NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information.

Fall 2020 Computer Science W4775 section 001
Causal Inference

Call Number 21899
Day & Time
MW 4:10pm-5:25pm
717 Hamilton Hall
Points 3
Grading Mode Standard
Approvals Required None
Instructor Elias Bareinboim
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 27 students (60 max) as of 8:02AM Sunday, February 28, 2021
Subject Computer Science
Number W4775
Section 001
Division School of Engineering and Applied Science: Graduate
Campus Morningside
Section key 20203COMS4775W001

Home      About This Directory      Online Bulletins      ColumbiaWeb      SSOL
SIS update 02/28/21 08:02    web update 02/28/21 17:20