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Voltar para Materials Data Sciences and Informatics

Comentários e feedback de alunos de Materials Data Sciences and Informatics da instituição Instituto de Tecnologia da GeórgiaInstituto de Tecnologia da Geórgia

290 classificações
75 avaliações

Sobre o curso

This course aims to provide a succinct overview of the emerging discipline of Materials Informatics at the intersection of materials science, computational science, and information science. Attention is drawn to specific opportunities afforded by this new field in accelerating materials development and deployment efforts. A particular emphasis is placed on materials exhibiting hierarchical internal structures spanning multiple length/structure scales and the impediments involved in establishing invertible process-structure-property (PSP) linkages for these materials. More specifically, it is argued that modern data sciences (including advanced statistics, dimensionality reduction, and formulation of metamodels) and innovative cyberinfrastructure tools (including integration platforms, databases, and customized tools for enhancement of collaborations among cross-disciplinary team members) are likely to play a critical and pivotal role in addressing the above challenges....

Melhores avaliações


27 de jul de 2020

It's a great course that can give you a wide view of how to accelerate the development of material using computational resources. I'm a Metallurgical Engineer and I totally recommend this course.


22 de set de 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

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26 — 50 de 76 Avaliações para o Materials Data Sciences and Informatics

por Siddhalingeshwar I G

8 de set de 2020

I take this opportunity to express sincere gratitude to Dr Surya Kalidindi. Thank you COURSERA yet again.

por Fekadu T B

1 de jun de 2020

You will learn four paradigms of science: empirical, theoretical, computational, and data-driven.

por Gusti U N T

17 de mai de 2020

Excellent experience. It engages my knowledge broadly about Data Science in Materials. Thank you


13 de nov de 2020

Thank you, Teacher!! It is amazing course and I improve my knowledge and skills in this field!!

por Pradeep S

1 de jun de 2020

It includes ausam information in structured manner to learn the subject easily.

por Li J Y

23 de ago de 2020

Interesting content! Liked the explanation of principle component analysis.

por Madhuri C D

22 de mai de 2019

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

por LOH X Y

18 de mai de 2020

Skills on the Data Sciences can be applied to other areas of studies

por Youxing C

4 de out de 2020

It exactly fits my needs for this area. Highly recommended!

por Santosh B M

8 de abr de 2020

Good to know about the basics of materials data.

por Anshuman S

9 de ago de 2016

Brilliant lectures on a very interesting topic!

por Naveen s

6 de jun de 2020

Very good experience and have learnt allot

por Herbaut J P M

15 de jul de 2019

Great expérience !

Herbaut Julien / Yale

por Jorge A A L

29 de mai de 2020

It is a intermediate/advanced course

por Marcin F

11 de ago de 2020

Excellent presentation and content

por Prakhar C T

23 de jun de 2020

Very useful course

por Sivaprakash S

12 de jan de 2020

Excellent course!

por mansi g

17 de jul de 2018

its easy to do it

por Deleted A

10 de out de 2018

Very nice course

por Dr. K R

17 de mar de 2019

Awesome Course!

por Salim A

18 de dez de 2016

very beneficial

por LIM Z H M

24 de jun de 2020

Great course!

por paul g

7 de abr de 2021


por Mona A A

10 de jul de 2020


por Dr. C K

14 de jun de 2020