CS 2700 - Causal Inference

Institution:

Utah Valley University

Subject:

Computer Science

Description:

Prerequisite(s): CS 1400. Explores a variety of data generating processes of importance for causal inference with computer simulations. Includes stratified sampling, inverse probability weighting, matching, blocking, propensity, sensitivity, causal graphs, d-separation, identifiability, the causal Markov condition, and the back-door criterion for selecting an admissible set of covariates. Examines causal mechanisms, the Rubin causal model, and both deterministic and stochastic counterfactuals. Develops ethical A/B testing procedures.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.uvu.edu

Phone Number:

(801) 863-8000

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Semester

General Education

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