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Materials Data Sciences and Informatics

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.

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Georgia Institute of Technology

Rating 3.9 based on 19 ratings
Length 6 weeks
Effort 5 weeks of study, 2-3 hours/week
Starts Apr 29 (4 weeks ago)
Cost $49
From Georgia Institute of Technology via Coursera
Instructor Dr. Surya Kalidindi
Download Videos On all desktop and mobile devices
Language English
Subjects Science Data Science Engineering
Tags Chemistry Data Science Data Analysis Physical Science And Engineering

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What people are saying

We analyzed reviews for this course to surface learners' thoughts about it

data sciences in 3 reviews

A great introductory course into Material Data Sciences and Informatics.

Great, fantastic information that made me see the importance of data sciences in materials science and engineering.

about general idea in one review

Too much talk about general idea.

assistance from professors in one review

I hope I can get more knowledge and assistance from Professors for my research in this field in future.

design high performance in one review

(Anupam Purwar) Excellent course if you are looking to understand how to design high performance materials leveraging current advances in data sciences.

dev eco system in one review

Very nice course 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 its easy to do it

leveraging current advances in one review

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Associate CSA - Building Materials / Hardware / Tools $42k

All positions including Management Trainee $51k

CSA - Building Materials / Hardware / Tools $73k

Aircraft Inspector including NDT $74k

CSA - Building Materials / Hardware / Tools Manager $80k

Senior Materials Science Engineer - Project Manager $111k

Materials Science Engineer - Project Manager Manager $111k

Materials Science Engineer - Project Manager $112k

Assistant Professor Materials Science $126k

Tools & Engineering $126k

Tools Engineer 2 $133k

Associate Professor Materials Science $134k

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Coursera

&

Georgia Institute of Technology

Rating 3.9 based on 19 ratings
Length 6 weeks
Effort 5 weeks of study, 2-3 hours/week
Starts Apr 29 (4 weeks ago)
Cost $49
From Georgia Institute of Technology via Coursera
Instructor Dr. Surya Kalidindi
Download Videos On all desktop and mobile devices
Language English
Subjects Science Data Science Engineering
Tags Chemistry Data Science Data Analysis Physical Science And Engineering

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