Intelligent Machining
Digital Manufacturing & Design Technology ,
Manufacturers are increasingly utilizing machine tools that are self-aware – they perceive their own states and the state of the surrounding environment – and are able to make decisions related to machine activity processes. This is called intelligent machining, and through this course students will receive a primer on its background, tools and related terminology. Learn how the integration of smart sensors and controls are helping to improve productivity. You’ll be exposed to various sensors and sensing techniques, process control strategies, and open architecture systems that can be leveraged to enable intelligent machining. This course will prepare you to contribute to the implementation of intelligent machining projects. Main concepts of this course will be delivered through lectures, readings, discussions and various videos. This is the fifth 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
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| Rating | 4.4★ based on 26 ratings |
|---|---|
| Length | 5 weeks |
| Starts | Jul 3 (43 weeks ago) |
| Cost | $49 |
| From | University at Buffalo, The State University of New York via Coursera |
| Instructor | Rahul Rai |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Engineering Programming |
| Tags | Data Science Physical Science And Engineering Mechanical Engineering Machine Learning |
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What people are saying
lot since it makes
A must for technicians and mechanical or industrial engineers Good for beginner awareness The evaluation section has to be improve a lot since it makes learners to be lethargic in listening the modules.
concepts lucidly are really
Also, erudite professors who explain the concepts lucidly are really worth mentioning.
erudite professors who explain
some calculation based assignments
AMAZING COURSE The course content could have been more enhanced with some calculation based assignments.
audio cause there
comprehensive dive into
Provides a comprehensive dive into the state and utility of IM.
our current industries
Great course with good insights on industry 4.0 and the methods of implementation in our current industries.
really worth mentioning
generated through sensors
Good This course taught me how the process of manufacturing is generated through sensors, computers and automatic generations.
course lacks information
Course lacks information.
amazing course
machine but
thank you for the course Good thanks It was a great course for anyone who wants to know generally about Intelligent Machine but just need a little bit more to get deeper in details with intelligent machining and industrial work.
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Laboratory Machinist Specialist, Precision Machining and Welding, Experimental Fabrication $36k
Machining Technician $60k
Intelligent Transportation Systems (ITS) Engineer $64k
Robotics Research Scientist in Intelligent Manipulation $66k
CNC Machining Engineer $74k
Intelligent Transportation Systems (ITS)/Tolling $79k
Marketing Data Scientist  Intelligent Customer Interactions $85k
Intelligent Systems Engineer $111k
Manufacturing Machining Management $117k
Sales Engineer / Machining Estimator $126k
Senior Tooling Engineer - OnSite Machining Manager $151k
Junior Machining Production/Maintenance Group Leader $157k
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| Rating | 4.4★ based on 26 ratings |
|---|---|
| Length | 5 weeks |
| Starts | Jul 3 (43 weeks ago) |
| Cost | $49 |
| From | University at Buffalo, The State University of New York via Coursera |
| Instructor | Rahul Rai |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Engineering Programming |
| Tags | Data Science Physical Science And Engineering Mechanical Engineering Machine Learning |
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