When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 3 modules in this course
Variability is a fact of life in manufacturing environments, impacting product quality and yield. Through this course, students will learn why performing advanced analysis of manufacturing processes is integral for diagnosing and correcting operational flaws in order to improve yields and reduce costs.
Gain insights into the best ways to collect, prepare and analyze data, as well as computational platforms that can be leveraged to collect and process data over sustained periods of time. Become better prepared to participate as a member of an advanced analysis team and share valuable inputs on effective implementation.
Main concepts of this course will be delivered through lectures, readings, discussions and various videos.
This is the fourth 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
The purpose of this module is to introduce the concept of advanced analysis in improvement of manufacturing processes. Also, this module will help you to understand the difference between discrete manufacturing and continuous manufacturing.
What's included
5 videos3 readings3 assignments
Show info about module content
5 videos•Total 27 minutes
Introduction to Advanced Manufacturing Process Analysis•3 minutes
The Data Analysis Process•5 minutes
Data Collection in Different Manufacturing Settings•4 minutes
DMD Dialogue 1: Discrete Part Manufacturing•8 minutes
Resources: Data Analysis: Value and Process•10 minutes
Resources: Manufacturing Settings and Data Collection•15 minutes
3 assignments•Total 90 minutes
Self-check•30 minutes
Self-check•30 minutes
Advanced Manufacturing Process Analysis- Week 1 Quiz•30 minutes
Data Collection
Module 2•5 hours to complete
Module details
Storing big data is quite different from handling traditional data. This difference is explained in this module. The purpose of this module is to introduce various steps involved in data analysis. Data Collection, Data Storage, Data Organization and Data Pre-processing concepts are explained.
Resources: Traditional Data Sets versus Big Data•60 minutes
Resources: Data Collection•15 minutes
Resources: Data Storage and Organization•20 minutes
Resources: Data Pre-processing•25 minutes
5 assignments•Total 150 minutes
Self-check•30 minutes
Self-check•30 minutes
Self-check•30 minutes
Self-check•30 minutes
Advanced Manufacturing Process Analysis- Week 2 Quiz•30 minutes
1 discussion prompt•Total 15 minutes
Advanced Manufacturing Process Analysis- Week 2 Reflection•15 minutes
Data Analysis: Computational Techniques and Platforms
Module 3•6 hours to complete
Module details
The purpose of this module is to introduce various techniques used in advanced analysis, like Determination of Significant Variables/Factors, Data Visualization, and Anomaly Detection. Also, this module will introduce various computational platforms (HPC, Cloud computing techniques) that exist for carrying out advanced analysis.
The University at Buffalo (UB) is a premier, research-intensive public university and the largest, most comprehensive institution of the State University of New York (SUNY) system. UB offers more than 100 undergraduate degrees and nearly 300 graduate and professional programs.
The State University of New York, with 64 unique institutions, is the largest comprehensive system of higher education in the United States. Educating nearly 468,000 students in more than 7,500 degree and certificate programs both on campus and online, SUNY has nearly 3 million alumni around the globe.
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M
MP
5·
Reviewed on Apr 29, 2017
Thank you for giving me excellent information on digital manufacturing. It is very helpful course for me. Thank you The State University of New York and Coursera.
V
VC
5·
Reviewed on May 7, 2020
This course of Advance Manufacturing Process Analysis is wonderful and recommendable to all. Content is very good and easy to understand. It helps in my current role as well.
H
HC
5·
Reviewed on Jun 29, 2020
The videos are very satisfying and seems to be the kind of work I like to do. But I think the teacher should make everyone let know that computer or laptop is a necessity for the course.
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.