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学生对 Georgia Institute of Technology 提供的 Materials Data Sciences and Informatics 的评价和反馈

4.5
349 个评分

课程概述

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....

热门审阅

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

MR

Jul 11, 2024

This course effectively bridged the gap between materials science and data-driven methodologies, introducing advanced techniques for managing and analyzing complex materials data.

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26 - Materials Data Sciences and Informatics 的 50 个评论(共 87 个)

创建者 M L M

Nov 11, 2020

Well presented in a simple manner. Great courses to learn exploratory data in material science and engaging with current issues.

创建者 Marcellin A

Jul 27, 2025

very informative course, explains the fundamentals and gives free resources to start experimenting with materials informatics

创建者 Dhanush S B

May 11, 2020

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

创建者 Siddhalingeshwar I G

Sep 8, 2020

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

创建者 Fekadu T B

Jun 1, 2020

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

创建者 Gusti U N T

May 17, 2020

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

创建者 SILVANA C C

Nov 13, 2020

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

创建者 Muhammad M Q

Feb 16, 2023

Really helpful. It provides what I was wandering about.

Their work is appriciated.

创建者 Pradeep S

Jun 1, 2020

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

创建者 Li J Y

Aug 23, 2020

Interesting content! Liked the explanation of principle component analysis.

创建者 Afraa

Oct 15, 2024

It is a new information and help to connect with physics fundamentals

创建者 Madhuri C D

May 21, 2019

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

创建者 LOH X Y

May 18, 2020

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

创建者 Youxing C

Oct 3, 2020

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

创建者 Santosh B M

Apr 8, 2020

Good to know about the basics of materials data.

创建者 Anshuman S

Aug 9, 2016

Brilliant lectures on a very interesting topic!

创建者 Naveen S

Jun 6, 2020

Very good experience and have learnt allot

创建者 Herbaut J P M

Jul 15, 2019

Great expérience !

Herbaut Julien / Yale

创建者 Jorge A A L

May 28, 2020

It is a intermediate/advanced course

创建者 Marcin F

Aug 11, 2020

Excellent presentation and content

创建者 Prakhar C T

Jun 23, 2020

Very useful course

创建者 Siva S

Jan 12, 2020

Excellent course!

创建者 mansi g

Jul 17, 2018

its easy to do it

创建者 Vinod T P

Mar 12, 2025

Excellent course

创建者 Deleted A

Oct 9, 2018

Very nice course