Course Information
- Instructor: Dr. John S. Kang
- Prerequisite: ME 202, ME 314, ME 330
- Office Hours Times: Tue/Wed 3:00-4:30pm
- Office Hours Location: E-425A or via Zoom
- The students are required to bring a laptop to all classes to practice coding examples.
Course Overview
Just as the invention of the steam engine advanced society in the late 18th century, the addition of intelligence to manufacturing is one of the key enablers of Industry 4.0. This course describes the critical elements underpinning smart manufacturing. The role of smart technologies such as sensors, machine vision, and data analytics including machine learning, in reshaping manufacturing engineering is emphasized. Course content is reinforced through in-class exercises and case studies.
Student Learning Outcomes
- Compare the core sensor and control technologies such as machine vision and machine learning underpinning smart manufacturing that employs computer-integrated robot systems.
- Design appropriate sensor systems for smart manufacturing applications.
- Implement machine vision techniques for object/defect detection in manufacturing for its quality control.
- Implement data analytics including machine learning on sensor data to monitor and control manufacturing processes, which is a critical enabler of smart manufacturing.