About this Course
4.3
183 ratings
42 reviews

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 4 hours to complete

Suggested: 4 weeks of study, 3 ½ hours per week...

English

Subtitles: English

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 4 hours to complete

Suggested: 4 weeks of study, 3 ½ hours per week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
2 hours to complete

Introduction to Advanced Manufacturing Process Analysis

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....
5 videos (Total 27 min), 3 readings, 3 quizzes
5 videos
The Data Analysis Process4m
Data Collection in Different Manufacturing Settings4m
DMD Dialogue 1: Discrete Part Manufacturing7m
DMD Dialogue 2: Continuous Manufacturing7m
3 readings
Acknowledgements10m
Resources: Data Analysis: Value and Process10m
Resources: Manufacturing Settings and Data Collection15m
3 practice exercises
Self-check10m
Self-check10m
Advanced Manufacturing Process Analysis- Week 1 Quiz30m
Week
2
3 hours to complete

Data Collection

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. ...
4 videos (Total 17 min), 4 readings, 5 quizzes
4 videos
Data Collection Considerations2m
Data Storage4m
Data Preprocessing3m
4 readings
Resources: Traditional Data Sets versus Big Datas
Resources: Data Collection15m
Resources: Data Storage and Organization20m
Resources: Data Pre-processing25m
5 practice exercises
Self-check6m
Self-check4m
Self-check6m
Self-check4m
Advanced Manufacturing Process Analysis- Week 2 Quiz30m
Week
3
4 hours to complete

Data Analysis: Computational Techniques and Platforms

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....
5 videos (Total 20 min), 7 readings, 5 quizzes
5 videos
Anomaly Detection2m
The Computational Platform3m
HPC and Cloud Computing5m
Your 4.0 Roadmap to Success3m
7 readings
Resources: Determination of Significant Variables/Factors25m
Resources: Anomaly Detection30m
Resources: Computing Platform, Components, Categories, and Capabilities30m
Resources: High Performance and Cloud Computing25m
Your 4.0 Roadmap to Success -- Resources10m
Your Roadmap Project: Step 430m
Advanced Manufacturing Analysis -- Key Takeaways25m
5 practice exercises
Self-check6m
Self-check4m
Self-check6m
Self-check4m
Advanced Manufacturing Process Analysis- Week 3 Quiz30m
4.3
42 ReviewsChevron Right

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started a new career after completing these courses

20%

got a tangible career benefit from this course

Top Reviews

By KSJan 5th 2019

Thank you for the training course. This course will be very helpful in analyzing & improving stamping process in Press shop, that will help us to deliver superior quality product to our customer.

By YSJan 25th 2019

This 4 week 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.

Instructor

Avatar

Rahul Rai

Associate Professor
Mechanical and Aerospace Engineering

About University at Buffalo

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....

About The State University of New York

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....

About the Digital Manufacturing & Design Technology Specialization

Whether you’re a high school graduate exploring manufacturing careers, or an operations manager hungry for an understanding of the newest manufacturing technologies, this specialization will provide a foundation in how digital advances are changing the landscape and capabilities of factories. Nine courses – developed with input from the manufacturing industry – touch on Industry 4.0 and its components, including digital manufacturing and design practices, the concept of the digital thread, the Internet of Things and Big Data. 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...
Digital Manufacturing & Design Technology

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 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. 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.