| Call Number | 11959 |
|---|---|
| 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 | 52 students (60 max) as of 9:14PM Wednesday, November 20, 2024 |
| Subject | Computer Science |
| Number | W4775 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Open To | Barnard College, Columbia College, Engineering:Undergraduate, Engineering:Graduate, GSAS, General Studies, Journalism |
| Section key | 20243COMS4775W001 |