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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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Rating 4.3★ based on 58 ratings
Length 6 weeks
Effort 5 weeks of study, 2-3 hours/week
Starts Jul 17 (41 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

data science

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

If you're curious about the idea of combining materials science and data science, this course is for you.

Very useful course This course is very informative and relevant for Material Engineering students like me to incorporate Data Science and modern technology to speed up research on the discovery of new materials.

Cover many concepts of data science as well as the Material design field.I would recommend this course to the people who want to stay in their core field while utilizing modern-day techniques such as machine learning and data science in their work.

It is a intermediate/advanced course It took until the last 15 minutes of week 5 to get to the actual data science...

It engages my knowledge broadly about Data Science in Materials.

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data sciences

A great introductory course into Material Data Sciences and Informatics.

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

The course has been very helpful in forming a basic understanding of data sciences application in Materials Engineering.

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

This course is very much interesting and i have learned about micro structure analysis using data sciences simulation, regression ,finding mechanical properties etc The course is great but sometimes it was entirely too wordy.

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materials informatics

Great introduction of the why and how of materials informatics!

This course discussed one particular issue in materials informatics.

This is a great starter course for materials informatics.

Though it didn't deal deep into all the concepts, it was focussed to explain briefly what is out there in the field of materials informatics.

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material science

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 Great expérience !Herbaut Julien / Yale I think it's wonderful course, but I did not have enough real practical skills from it (in my opinion).

There should have been more focus on utilising software (PyMKS) to implement concepts, throughout the course rather than just the end A perfect course if one wants to pursue a research career in material science with an engineering background.

You require a good knowledge of statistics, computation, and material science to make it through it.

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too much

Too much talk about general idea.

very beneficial Too much introduction, not much actual useful stuff.

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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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Rating 4.3★ based on 58 ratings
Length 6 weeks
Effort 5 weeks of study, 2-3 hours/week
Starts Jul 17 (41 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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