46-888 Optimization for Prescriptive Analytics

6 units, Carnegie Mellon University

Mathematical optimization technology is key to turning data into better decision making. The application of large-scale optimization models can bring a critical competitive advantage to many firms. This course focuses on developing such optimization models for operational and strategic decision making, with applications that include vehicle routing, employee scheduling, network design and capacity planning. Methodologies include linear programming, integer programming, nonlinear programming, constraint programming, heuristics, and column generation.

Prerequisites: none listed

Offered: Spring 2027, Summer 2026, Spring 2026

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