Intelligent Control Systems and Engineering Course Description

The course Intelligent Control Systems and Engineering is a core course for the Mechanical Design, Manufacturing and Automation major at the School of Mechanical and Electrical Engineering. Based on the quality control needs of the mechanical and electrical industry, the course aims to help students master the core theories of quality control and engineering practical skills, and cultivate students' ability to formulate quality plans, diagnose and solve practical quality problems based on industrial scenarios.

The course content is closely aligned with industry standards, covering Statistical Process Control (SPC), ISO Quality Management System, quality control for the entire life cycle (design, production, after-sales service) of mechanical and electrical products, and quality improvement tools such as PDCA cycle and Six Sigma. It also integrates typical cases in the mechanical and electrical field, including the machining of mechanical parts and components and the assembly of intelligent equipment. The teaching adopts the model of "theoretical teaching + case analysis + practical simulation", while simultaneously strengthening students' rigorous and practical quality awareness and professional ethics. This lays a solid foundation for students to engage in positions such as quality control and production management in the mechanical and electrical industry, or conduct technological research in related fields in the future.