Acerca de este Curso
4.3
66 calificaciones
18 revisiones
100 % en línea

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Nivel intermedio

Nivel intermedio

Horas para completar

Aprox. 10 horas para completar

Sugerido: 5 weeks of study, 2-3 hours/week...
Idiomas disponibles

Inglés (English)

Subtítulos: Inglés (English)

Habilidades que obtendrás

InformaticsMaterialsStatisticsData Science
100 % en línea

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Nivel intermedio

Nivel intermedio

Horas para completar

Aprox. 10 horas para completar

Sugerido: 5 weeks of study, 2-3 hours/week...
Idiomas disponibles

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana
1
Horas para completar
1 hora para completar

Welcome

What you should know before you start the course...
Reading
6 readings
Reading6 lecturas
Course Syllabus10m
Frequently Asked Questions10m
Suggested Reading10m
Target Audience and Recommended Background10m
Get More from Georgia Tech10m
Consent Form10m
Horas para completar
2 horas para completar

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....
Reading
9 videos (Total 78 min), 1 reading, 1 quiz
Video9 videos
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
Reading1 lectura
Earn a Georgia Tech Badge/Certificate/CEUs10m
Quiz1 ejercicio de práctica
Accelerating Materials Development and Deployment34m
Semana
2
Horas para completar
1 hora para completar

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...
Reading
6 videos (Total 53 min), 1 quiz
Video6 videos
Process-Structure-Property (PSP) Linkages7m
Role of Structures in PSP Linkages10m
Data Science Terminology6m
Main Components of Data Science5m
What is Big Data?6m
Quiz1 ejercicio de práctica
Materials Knowledge and Materials Data Science20m
Semana
3
Horas para completar
2 horas para completar

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 ...
Reading
6 videos (Total 79 min), 1 quiz
Video6 videos
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
Quiz1 ejercicio de práctica
Materials Knowledge Improvement Cycles16m
Semana
4
Horas para completar
22 minutos para completar

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

This module demonstrates a homogenization problem based on an example of two-phase composites...
Reading
2 videos (Total 18 min), 1 quiz
Video2 videos
Structure-Property Linkages using a Data Science Approach-Part 25m
Quiz1 ejercicio de práctica
Case Study in Homogenization: Plastic Properties of Two-Phase Composites4m
4.3
18 revisionesChevron Right

Principales revisiones

por 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

por BWMay 4th 2018

Great introduction of the why and how of materials informatics!

Instructor

Avatar

Dr. Surya Kalidindi

Professor
The George W. Woodruff School of Mechanical Engineering

Acerca de Georgia Institute of Technology

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....

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando compras un Certificado, obtienes acceso a todos los materiales del curso, incluidas las tareas calificadas. Una vez que completes el curso, se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes participar del curso como oyente sin costo.

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