Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
Materials Data Sciences and Informatics is an intermediate-level course ventured jointly by the Georgia Institute of Technology and Coursera. The system is a flexible one that allows the learners to pursue it in the online mode at their own pace and time. Materials Data Sciences and Informatics Certification Course, offered by Coursera, can be taken by non-English speaking learners too as the subtitles are provided in the languages of, Portuguese (European), Spanish, French, and Russian.
Materials Data Sciences and Informatics Certification by Coursera is all about the nascent discipline of Materials Informatics that is part of computational, material, and information science. The learners can complete the certification programme within the minimum duration of 9 hours. They can make a deep understanding of data science, informatics, data science in materials science, biomedical informatics and data science, statistics, and the like.
The Highlights
- Provided by Coursera
- Offered by Georgia Institute of Technology
- Flexible Deadlines
- Shareable Certificate
- Intermediate level course
- Financial Aid Available
- Self-Paced Learning Option
- 100% Online Course
- Around 9 Hours to Complete
Programme Offerings
- English videos with multiple subtitles
- Shareable Certificate
- Financial aid available
- Shareable Certificates
- Self-Paced Learning Option.
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 2436 | yes | Coursera |
Coursera presents two different enrolment methods for the candidates to enroll in the programme. The first, the purchase mode, requires the learners to pay the Materials Data Sciences and Informatics Certification Fee and they will be provided with all the advantages including the certificate. Whereas in the audit mode, the learners can take the courses without paying the fee, they will be given limited access to the course.
Materials Data Sciences and Informatics Fee Structure
Name of the Course | Fee Amount |
Materials Data Sciences and Informatics | INR 2,436 |
Eligibility Criteria
Certification Qualifying Details
After completing the Materials Data Sciences and Informatics online course, Coursera offered the learners who paid for the system and covered the programme ultimately a shareable certificate.
What you will learn
Materials Data Sciences and Informatics Certification Syllabus will cover the following:
- Informatics
- Materials
- Statistics
- Data Science
Who it is for
Materials Data Sciences and Informatics Classes is an ideal programme for the learners like Data scientists and the like.
Admission Details
Materials Data Sciences and Informatics Training can be taken by the learners by going through these steps:
Step 1 -Browse the official URL
https://www.coursera.org/learn/material-informatics
Step 2- Join the programme by opting for the option of ‘Enroll Now’.
The Syllabus
Readings
- Course Syllabus
- Frequently Asked Questions
- Suggested Reading
- Target Audience and Recommended Background
- Get More from Georgia Tech
- Consent Form
Videos
- Why Accelerate Material Discovery and Development?
- Historical Materials Development Cycles
- How do we accelerate materials development and deployment
- Emergence of multi-stakeholder initiatives
- The Materials Innovation Ecosystem
- Part 1:Multiscale Modeling and Multilevel Design of Materials
- Part 2: Multiscale Modeling and Multilevel design of Materials
- Decision-Making in Material Design
- Multilevel Systems-Based Materials Design
Reading
- Earn a Georgia Tech Badge/Certificate/CEUs
Quiz
- Accelerating Materials Development and Deployment
Discussion Prompts
- Assignment #1
- Assignment #2
Videos
- Material Property, Material Structure, and Manufacturing Processes
- Process-Structure-Property (PSP) Linkages
- Role of Structures in PSP Linkages
- Data Science Terminology
- Main Components of Data Science
- What is Big Data?
Quiz
- Materials Knowledge and Materials Data Science
Videos
- Digital Representation of Material Structure
- Spatial Correlations: n-Point Statistics
- Computation and Visualization of 2-Point Spatial Correlations
- Principal Component Analyses (PCA) for low dimensional representations
- Principal Component Analyses (PCA) for low dimensional representation of material structure
- Homogenization: Passing Information to Higher Length Scales
Quiz
- Materials Knowledge Improvement Cycles
Videos
- Structure-Property Linkages using a Data Science Approach-Part 1
- Structure-Property Linkages using a Data Science Approach-Part 2
Quiz
- Case Study in Homogenization: Plastic Properties of Two-Phase Composites
Videos
- Materials Innovation Ecosystem
- Materials Innovation Cyberinfrastucture
- e-Collaboration Platforms/Environments
- Materials Cyber-Infrastructure
- Introduction to PyMKS Materials Knowledge Systems in Python
- Materials Data Science with PyMKS
Readings
- PyMKS website
- Take another course like this !
Quiz
- Materials Innovation Cyberinfrastructure and Integrated Workflows
Discussion Prompts
- PyMKS output
- Auto and Crosscorrelation for a microstructure
Instructors
Georgia Tech Frequently Asked Questions (FAQ's)
The professor who is in charge of teaching the online programmes is Dr. Surya Kalidindi who is a professor at the George W. Woodruff School of Mechanical Engineering.
The onion certification course by Coursera is intended for intermediate-level students.
The minimum time required for covering the programmes is 9 hours.
17,804 learners have joined and benefited from the online courses so far.
The course is offered entirely in online mode and thus, the learners can take the programme at their own convenience and pace from anywhere in the world.