94-216 Introduction to Decision Analytics and Systems

6 units, Carnegie Mellon University

This course introduces students to the analytics toolkit data systems, Operations Research, Machine Learning, Statistics. and causal inference and what it takes to use formulate problems, scope them and understand how to intervene to support decision making to achieve policy objectives. In short, it introduces you to the art and science of translating analytics into action using curated examples and case studies from the real world. These case studies will introduce you to key elements of the datadriven and modelbased approaches to decisionmaking. The approaches you will be exposed to in this course find wide application. Examples include the creation of transportation systems bus, ondemand rideshare, bike share to equitably serve all neighborhoods, the responsible use of AI in systems to hire people for positions, and optimally delivering covid vaccine boosters to disadvantaged and hard to reach populations.

Prerequisites: none listed

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