Name: Materials Data Sciences and Informatics
Brand: Georgia Institute of Technology
Availability: OnlineOnly
Rating: 4.5 (87 reviews)

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Learner Reviews & Feedback for Materials Data Sciences and Informatics by Georgia Institute of Technology

4.5

stars

351 ratings

About the Course

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....

Top reviews

May 10, 2020

A perfect course if one wants to pursue a research career in material science with an engineering background.

Sep 22, 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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76 - 87 of 87 Reviews for Materials Data Sciences and Informatics

By Ashish S

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Aug 22, 2020

Got an overview about how materials data is analysed. This course helps us in understanding the need of data sciences for accelerating material development.

By Pranav K

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May 13, 2020

Good theory lessons. There should have been more focus on utilising software (PyMKS) to implement concepts, throughout the course rather than just the end

By Biplab B

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Mar 27, 2020

the course is nice and useful, but is very tough. You require a good knowledge of statistics, computation, and material science to make it through it.