Chevron Left
Back to Materials Data Sciences and Informatics

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

4.5
stars
326 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

RR

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

DG

Apr 27, 2020

This course is very much interesting and i have learned about micro structure analysis using data sciences simulation, regression ,finding mechanical properties etc

Filter by:

26 - 50 of 81 Reviews for Materials Data Sciences and Informatics

By Dhanush S B

May 11, 2020

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

By Siddhalingeshwar I G

Sep 8, 2020

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

By Fekadu T B

Jun 1, 2020

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

By Gusti U N T

May 17, 2020

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

By SILVANA C C

Nov 13, 2020

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

By Muhammad M Q

Feb 17, 2023

Really helpful. It provides what I was wandering about.

Their work is appriciated.

By Pradeep S

Jun 1, 2020

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

By Li J Y

Aug 23, 2020

Interesting content! Liked the explanation of principle component analysis.

By Madhuri C D

May 22, 2019

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

By LOH X Y

May 18, 2020

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

By Youxing C

Oct 4, 2020

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

By Santosh B M

Apr 8, 2020

Good to know about the basics of materials data.

By Anshuman S

Aug 9, 2016

Brilliant lectures on a very interesting topic!

By Naveen S

Jun 6, 2020

Very good experience and have learnt allot

By Herbaut J P M

Jul 15, 2019

Great expérience !

Herbaut Julien / Yale

By Jorge A A L

May 29, 2020

It is a intermediate/advanced course

By Marcin F

Aug 11, 2020

Excellent presentation and content

By Prakhar C T

Jun 23, 2020

Very useful course

By Siva S

Jan 12, 2020

Excellent course!

By mansi g

Jul 17, 2018

its easy to do it

By Deleted A

Oct 10, 2018

Very nice course

By Dr. K R

Mar 17, 2019

Awesome Course!

By Salim A

Dec 18, 2016

very beneficial

By LIM Z H M

Jun 24, 2020

Great course!

By paul g

Apr 7, 2021

Excellent!