Save

Digital Thread

Implementation

This course is part of a Specialization (series of courses) called Digital Manufacturing & Design Technology .

There are opportunities throughout the design process of any product to make significant changes, and ultimately impact the future of manufacturing, by embracing the digital thread. In this course, you will dig into the transformation taking place in how products are designed and manufactured throughout the world. It is the second of two courses that focuses on the "digital thread" – the stream that starts at the creation of a product concept and continues to accumulate information and data throughout the product life cycle.

Hear about the realities of implementing the digital thread, directly from someone responsible for making it happen at a company. Learn how the digital thread can fit into product development processes in an office, on a shop floor, and even across an enterprise. Be prepared to talk about the benefits, and limitations, of enacting it.

Main concepts of this course will be delivered through lectures, readings, discussions and various videos.

This is the third course in the Digital Manufacturing & Design Technology specialization that explores the many facets of manufacturing’s “Fourth Revolution,” aka Industry 4.0, and features a culminating project involving creation of a roadmap to achieve a self-established DMD-related professional goal.

To learn more about the Digital Manufacturing and Design Technology specialization, please watch the overview video by copying and pasting the following link into your web browser: https://youtu.be/wETK1O9c-CA

Get Details Enroll Now

OpenCourser is an affiliate partner of Coursera.

Coursera

&

University at Buffalo

Rating 4.6 based on 20 ratings
Length 6 weeks
Effort 5 weeks of study, 3 ½ hours per week
Starts May 21 (31 weeks ago)
Cost $49
From University at Buffalo, The State University of New York via Coursera
Instructor Ken English
Free Limited Content
Language English
Subjects Data Science Engineering Programming
Tags Data Science Physical Science And Engineering Mechanical Engineering Machine Learning

Create an Alert

Not ready to take this course yet? Sign up for a one-time email reminder with a link to this course.

What people are saying

We analyzed reviews for this course to surface learners' thoughts about it

about advanced manufecturing in one review

IT WAS AN AWESOME EXPERIENCE WITH LEARNING ABOUT ADVANCED MANUFECTURING ENTERPRISE WITH SIR KEN ENGLISH AND I AM VERY THANKFUL FOR SIR Ótimo material de referência It is a good course to gain awareness about the field of Digital transformation in manufacturing before diving into detailed learning.

dmd should take in one review

Not sure what follows but will comment on it too.Thank you again and anybody interested in DMD should take these specialization, especially mechanical and industrial engineers and technicians!

informative lecture sessions in one review

Innovative course design and Informative lecture sessions and reference materials Practical point of view.

not sure what in one review

very thankful for in one review

diving into detailed in one review

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).

Digital Sales Executive Expert $39k

Digital Communications Coordinator $45k

Digital Library Specialist $62k

Digital Content Specialist Contractor $65k

Assistant Digital Imaging Specialist Manager $68k

Digital Optimization Analyst $75k

Digital Media Product Manager $89k

Digital Product Manager Lead $98k

Senior Digital Marketing Manager Contractor $109k

Staff Digital Marketing Manager $111k

Digital Marketing Channel Manager $143k

Solutions Architect (via EMC Digital) $146k

Write a review

Your opinion matters. Tell us what you think.

Coursera

&

University at Buffalo

Rating 4.6 based on 20 ratings
Length 6 weeks
Effort 5 weeks of study, 3 ½ hours per week
Starts May 21 (31 weeks ago)
Cost $49
From University at Buffalo, The State University of New York via Coursera
Instructor Ken English
Free Limited Content
Language English
Subjects Data Science Engineering Programming
Tags Data Science Physical Science And Engineering Mechanical Engineering Machine Learning