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InformaticsMaterialsStatisticsData Science
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강의 계획 - 이 강좌에서 배울 내용

1

1

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Welcome

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6 개의 읽기 자료
6개의 읽기 자료
Course Syllabus10m
Frequently Asked Questions10m
Suggested Reading10m
Target Audience and Recommended Background10m
Get More from Georgia Tech10m
Consent Form10m
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Accelerating Materials Development and Deployment

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9개 동영상 (총 78분), 1 개의 읽기 자료, 1 개의 테스트
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

2

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Materials Knowledge and Materials Data Science

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6개 동영상 (총 53분)
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
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Materials Knowledge and Materials Data Science20m
3

3

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Materials Knowledge Improvement Cycles

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6개 동영상 (총 79분)
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
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Materials Knowledge Improvement Cycles16m
4

4

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

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2개 동영상 (총 18분)
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Structure-Property Linkages using a Data Science Approach-Part 25m
1개 연습문제
Case Study in Homogenization: Plastic Properties of Two-Phase Composites4m

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