27 508
Principles of Digital Twins in Material Science and Advanced Man
Carnegie Mellon University · UGRD · Fall 2026
1 section
Catalog description
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.
Sections
Current meeting, instructor, credit, and enrollment details
001
Availability not recently verifiedClass #carnegie_mellon-27508Fall 2026UGRD9 credits
- Days & times
- No scheduled meeting time
- Meeting dates
- —
- Location
- —
- Instructor
- Staff
Class numbers and section codes come from the registrar.
Spot missing or incorrect course data?