About this Course
10,427 recent views

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 10 hours to complete

Suggested: 5 weeks of study, 2-3 hours/week...

English

Subtitles: English

Skills you will gain

InformaticsMaterialsStatisticsData Science

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 10 hours to complete

Suggested: 5 weeks of study, 2-3 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
1 hour to complete

Welcome

6 readings
6 readings
Course Syllabus10m
Frequently Asked Questions10m
Suggested Reading10m
Target Audience and Recommended Background10m
Get More from Georgia Tech10m
Consent Form10m
2 hours to complete

Accelerating Materials Development and Deployment

9 videos (Total 78 min), 1 reading, 1 quiz
9 videos
Historical Materials Development Cycles8m
How do we accelerate materials development and deployment12m
Emergence of multi-stakeholder initiatives8m
The Materials Innovation Ecosystem9m
Part 1:Multiscale Modeling and Multilevel Design of Materials8m
Part 2: Multiscale Modeling and Multilevel design of Materials5m
Decision-Making in Material Design9m
Multilevel Systems-Based Materials Design5m
1 reading
Earn a Georgia Tech Badge/Certificate/CEUs10m
1 practice exercise
Accelerating Materials Development and Deployment34m
Week
2
1 hour to complete

Materials Knowledge and Materials Data Science

6 videos (Total 53 min), 1 quiz
6 videos
Process-Structure-Property (PSP) Linkages7m
Role of Structures in PSP Linkages10m
Data Science Terminology6m
Main Components of Data Science5m
What is Big Data?6m
1 practice exercise
Materials Knowledge and Materials Data Science20m
Week
3
2 hours to complete

Materials Knowledge Improvement Cycles

6 videos (Total 79 min), 1 quiz
6 videos
Spatial Correlations: n-Point Statistics11m
Computation and Visualization of 2-Point Spatial Correlations10m
Principal Component Analyses (PCA) for low dimensional representations12m
Principal Component Analyses (PCA) for low dimensional representation of material structure12m
Homogenization: Passing Information to Higher Length Scales16m
1 practice exercise
Materials Knowledge Improvement Cycles16m
Week
4
22 minutes to complete

Case Study in Homogenization: Plastic Properties of Two-Phase Composites

2 videos (Total 18 min), 1 quiz
2 videos
Structure-Property Linkages using a Data Science Approach-Part 25m
1 practice exercise
Case Study in Homogenization: Plastic Properties of Two-Phase Composites4m
4.3
24 ReviewsChevron Right

Top reviews from Materials Data Sciences and Informatics

By RRSep 23rd 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

By AAAug 18th 2019

The course was overall good but some of the course content is outdated (installing PyMKS) please look into this matter.

Instructor

Avatar

Dr. Surya Kalidindi

Professor
The George W. Woodruff School of Mechanical Engineering

About Georgia Institute of Technology

The Georgia Institute of Technology is one of the nation's top research universities, distinguished by its commitment to improving the human condition through advanced science and technology. Georgia Tech's campus occupies 400 acres in the heart of the city of Atlanta, where more than 20,000 undergraduate and graduate students receive a focused, technologically based education....

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.