- From www.coursera.org
Materials Data Sciences and Informatics
- Self-paced
- Free Access
- Fee-based Certificate
- 5 Sequences
- Intermediate Level
Course details
Syllabus
- Week 1 - Welcome
What you should know before you start the course - Week 1 - Accelerating Materials Development and Deployment
• Learn and appreciate historical paradigms of advanced materials development while emphasizing the critical need for new approaches that employ data sciences and informatics as the glue to connect computational simulation and experiments to speed up the proce... - Week 2 - Materials Knowledge and Materials Data Science
• Understand property, structure and process spaces• Learn about Process-Structure-Property Linkages • Learn what does Materials Knowledge mean• Learn about a role of Data Science in Materials Knowledge System• Overview approaches and main components of Da... - Week 3 - Materials Knowledge Improvement Cycles
• Learn material structure and its digital representation• Learn how to calculate 2-point statistics • Learn how Principal Component Analysis can be used to reduce dimensionality• Understand Homogenization and Localization concepts - Week 4 - Case Study in Homogenization: Plastic Properties of Two-Phase Composites
This module demonstrates a homogenization problem based on an example of two-phase composites - Week 5 - Materials Innovation Cyberinfrastructure and Integrated Workflows
• Learn about materials innovation system and cyberinfrastructure• Review Materials Databases, e-collaboration platforms and code repositories• Learn why integrated workflows are needed• Define Metadata, Structured and Unstructured data• Learn about availa...
Prerequisite
Instructors
Dr. Surya Kalidindi
Professor
The George W. Woodruff School of Mechanical Engineering
Editor
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Platform
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