living-models

Graduate course syllabus for engineers and applied technical practitioners at Northeastern University who use data to make decisions and need the identification layer that causal AI tools cannot perform. Covers DAG construction, confounders, mediators, colliders, the backdoor criterion, and sensitivity analysis — culminating in a complete, defensible causal analysis plan for the student