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Materials Data Sciences and Informatics
课程
en
英语
10 时
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- 5 序列
- 等级 中级
课程详情
教学大纲
- 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...
先决条件
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讲师
Dr. Surya Kalidindi
Professor
The George W. Woodruff School of Mechanical Engineering
编辑
佐治亚理工学院（Georgia Institute of Technology），又称佐治亚理工学院或 GT，是一所位于美国佐治亚州亚特兰大市的男女同校公立研究型大学。它是佐治亚大学系统网络的一部分。佐治亚理工学院在萨凡纳（美国佐治亚州）、梅斯（法国）、阿斯隆（爱尔兰）、上海（中国）和新加坡设有办事处。
佐治亚理工学院的工程和计算机科学课程在世界上名列前茅5,6 ，声誉卓著。此外，佐治亚理工学院还开设了科学、建筑、人文和管理课程。
平台
Coursera是一家数字公司，提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。
Coursera与顶尖大学和组织合作，在线提供一些课程，并提供许多科目的课程，包括：物理，工程，人文，医学，生物学，社会科学，数学，商业，计算机科学，数字营销，数据科学 和其他科目。
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