Description
Smart Manufacturing: Cyber Physical Systems and Smart Manufacturing introduces the core components of cyber physical systems (CPS) and the use of Factory I/O software to model, build, and simulate production environments. Participants will learn how CPS technologies integrate with Programmable Logic Controller (PLC) to create highly efficient, data-driven manufacturing systems. The module emphasizes designing simple cyber-physical manufacturing processes and simulating them using Factory I/O connected to a PLC.
Syllabus
Course Overview:
This course is part of the Smart Manufacturing micro-credential series. Participants may complete this course as a stand-alone certificate of completion or take all four micro-credentials to earn the Industry 4.0 Certificate in Smart Manufacturing.
A discounted rate is available when enrolling in the full four-course bundle.
Learning Outcomes:
- Overview of inspection methods used in smart manufacturing
- Introduction to AI based computer vision, including YOLO for object detection
- Exploration of laser scanning and CMM technologies
- Comparison of inspection tools and their applications in quality assurance
- Hands on activities building and testing a basic YOLO model
- Practical examples demonstrating how inspection technologies support automated quality control.
Topics:
- Understanding of key inspection technologies used in modern manufacturing
- Ability to evaluate and select appropriate inspection methods for specific applications
- Foundational skills in developing a simple YOLO computer vision model
- Insight into how AI, laser scanning, and CMM systems enhance quality assurance
- Practical experience applying inspection tools within intelligent manufacturing workflows
Instructor(s):
Yi Wang, Assistant Professor
Department of Industrial and Systems Engineering
University of Missouri
Materials:
All course materials are included with enrollment.
Course Format:
This course includes three hours of online coursework completed at the day and time that fits your schedule, followed by an eight-hour, in-person, hands-on learning day in the Industry 4.0 Lab at Mizzou Engineering.
The online coursework will be available starting August 3rd and must be completed prior to the in-person learning day.
The in-person learning day in the Industry 4.0 lab will be on August 20th from 8:00 a.m. - 4:30 p.m.
Department:
MU College of Engineering Industrial and Systems Engineering Department
Credit:
Participants who complete this course are eligible for 1.2 Continuing Education Units (CEUs) and/or 12 Professional Development Hours (PDHs), which may be applied toward continuing education requirements for licensed engineers.
Audience:
This module is designed for technicians, engineers, quality professionals, and manufacturing personnel who want to strengthen their understanding of modern inspection and quality-assurance technologies used in Industry 4.0 environments. It is ideal for individuals working in quality control, automation, production, or industrial technology roles.
The course also supports learners preparing to upskill into Industry 4.0-aligned positions that require competency in selecting inspection technologies and developing basic computer vision models for object detection.
Accommodations
University of Missouri Extension complies with the Americans with Disabilities Act of 1990. If you have a disability and need accommodations in connection with participation in an educational program or you need materials in an alternate format, please notify your instructor as soon as possible so that necessary arrangements can be made. Language access services, such as interpretation or translation of vital information, will be provided free of charge to limited English proficient individuals upon request. All requests must be made a minimum of 14 days before course start date. MU Extension will attempt to implement late requests but cannot guarantee they will be met.
Cancellations and Refund Requests
Access MU Extension’s Course Cancellation and Refund Policy for details.
