27-708 Principles of Digital Twins in Material Science and Advanced Man

12 units, Carnegie Mellon University

This course introduces students to the concept of Digital Twins and provides a thorough introduction to digital twin modeling. An emphasis is placed on improving student literacy across digital twin capabilities and requirements so that students can navigate and understand the scope and applicability of the AI-predictive analytics lifecycle interdependencies supporting digital twins. Students learn not only how to generate and use digital twin models but also how to appropriately select digital environments given specific project requirements.

Prerequisites: none listed

Offered: Fall 2026, Fall 2025

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