About this Course
5,385

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지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

탄력적인 마감일

일정에 따라 마감일을 재설정합니다.

중급 단계

완료하는 데 약 10시간 필요

권장: 5 weeks of study, 2-3 hours/week...

영어

자막: 영어

귀하가 습득할 기술

InformaticsMaterialsStatisticsData Science

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

탄력적인 마감일

일정에 따라 마감일을 재설정합니다.

중급 단계

완료하는 데 약 10시간 필요

권장: 5 weeks of study, 2-3 hours/week...

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 1시간 필요

Welcome

What you should know before you start the course...
6 readings
6개의 읽기 자료
Course Syllabus10m
Frequently Asked Questions10m
Suggested Reading10m
Target Audience and Recommended Background10m
Get More from Georgia Tech10m
Consent Form10m
완료하는 데 2시간 필요

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 processes of materials discovery and development. • Learn about the emergence of key national and international 21st century initiatives in accelerated materials discovery and development and how they are expected to bring about a disruptive transformation of new product capabilities and time to market....
9 videos (Total 78 min), 1 reading, 1 quiz
9개의 동영상
Historical Materials Development Cycles8m
How do we accelerate materials development and deployment12m
Emergence of multi-stakeholder initiatives8m
The Materials Innovation Ecosystem9m
Part 1:Multiscale Modeling and Multilevel Design of Materials8m
Part 2: Multiscale Modeling and Multilevel design of Materials5m
Decision-Making in Material Design9m
Multilevel Systems-Based Materials Design5m
1개의 읽기 자료
Earn a Georgia Tech Badge/Certificate/CEUs10m
1개 연습문제
Accelerating Materials Development and Deployment34m
2
완료하는 데 1시간 필요

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 Data Science • Learn about a new discipline - Materials Data Sciences...
6 videos (Total 53 min), 1 quiz
6개의 동영상
Process-Structure-Property (PSP) Linkages7m
Role of Structures in PSP Linkages10m
Data Science Terminology6m
Main Components of Data Science5m
What is Big Data?6m
1개 연습문제
Materials Knowledge and Materials Data Science20m
3
완료하는 데 2시간 필요

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 ...
6 videos (Total 79 min), 1 quiz
6개의 동영상
Spatial Correlations: n-Point Statistics11m
Computation and Visualization of 2-Point Spatial Correlations10m
Principal Component Analyses (PCA) for low dimensional representations12m
Principal Component Analyses (PCA) for low dimensional representation of material structure12m
Homogenization: Passing Information to Higher Length Scales16m
1개 연습문제
Materials Knowledge Improvement Cycles16m
4
완료하는 데 22분 필요

Case Study in Homogenization: Plastic Properties of Two-Phase Composites

This module demonstrates a homogenization problem based on an example of two-phase composites...
2 videos (Total 18 min), 1 quiz
2개의 동영상
Structure-Property Linkages using a Data Science Approach-Part 25m
1개 연습문제
Case Study in Homogenization: Plastic Properties of Two-Phase Composites4m
5
완료하는 데 1시간 필요

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 available services for e-collaborations ...
6 videos (Total 42 min), 2 readings, 1 quiz
6개의 동영상
Materials Innovation Cyberinfrastucture3m
e-Collaboration Platforms/Environments6m
Materials Cyber-Infrastructure4m
Introduction to PyMKS Materials Knowledge Systems in Python7m
Materials Data Science with PyMKS14m
2개의 읽기 자료
PyMKS website10m
Take another course like this !10m
1개 연습문제
Materials Innovation Cyberinfrastructure and Integrated Workflows16m
4.3
21개의 리뷰Chevron Right

최상위 리뷰

대학: RRSep 23rd 2018

Machine learning part and its application to material science was interesting but informative contents like material dev eco system and whole week 1 was more informative than logical

대학: MDMay 22nd 2019

Best way to learn newly developed system using material data science.

강사

Avatar

Dr. Surya Kalidindi

Professor
The George W. Woodruff School of Mechanical Engineering

조지아공과대학교 정보

The Georgia Institute of Technology is one of the nation's top research universities, distinguished by its commitment to improving the human condition through advanced science and technology. Georgia Tech's campus occupies 400 acres in the heart of the city of Atlanta, where more than 20,000 undergraduate and graduate students receive a focused, technologically based education....

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 수료증을 구매하면 성적 평가 과제를 포함한 모든 강좌 자료에 접근할 수 있습니다. 강좌를 완료하면 전자 수료증이 성취도 페이지에 추가되며, 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 콘텐츠만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

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