This unit focuses on turning decision science into reliable, repeatable business practice by covering ModelOps, deployment infrastructure, metrics design, cost estimation, and mitigation of biases and wrong influences. Students learn to define actionable decisions, match measures to metrics, and design downstream decision flows and monitoring so executives can trust and scale automated and human-assisted decisions.
Leave a Reply