Undergraduate Course Ongoing 2025-2026 Spring Semester

Manufacturing System Automation Technology (Including Digitalization)

Manufacturing System Automation Technology (Including Digitalization)

Undergraduate Professional Elective | Fundamentals and practical applications of manufacturing system automation and digitalization

Course Information

Category: Professional Elective
Course Code: AM326
Department: School of Advanced Manufacturing
Credits: 2
Hours: 36
Grade Level: Junior Year
Target Majors: Mechanical Engineering and Automation, Mechanical Design, Manufacturing and Automation, Mechatronics Engineering
Course Instructor: Jianshe Feng, Yu Yin
Prerequisites: Mechanical Design, Mechanism Principles, Fundamentals of Mechanical Manufacturing

Course Announcements

  • [2025/3/3] Welcome to this course. Course resources, announcements, and grades will be published on the course management system (Click to enter) Website: cms.sysu-sam.com

Course Overview

This course aims to enable students to comprehensively master the fundamental theories and practical applications of manufacturing system automation and digitalization technologies, cultivating students' capabilities in design, optimization, and problem-solving within intelligent manufacturing systems.

Learning Objectives

1

Understand the basic concepts, development history, and frontier technologies of manufacturing system automation

2

Master the basic framework of manufacturing system digitalization technology, and apply information technology to optimize production and management processes

3

Understand intelligent manufacturing systems, and master the practical applications of big data, cloud computing, artificial intelligence, and other technologies

Course Topics

1 Basic Concepts and Development of Manufacturing System Automation
2 Framework of Manufacturing System Digitalization Technology
3 Application of Big Data in Manufacturing Systems
4 Cloud Computing and Manufacturing Systems
5 Application of AI in Intelligent Manufacturing
6 Production and Management Process Optimization
7 Design and Optimization of Intelligent Manufacturing Systems

Assessment

Regular Score (including class discussion, quizzes, assignments, reports, attendance, etc.): 50%

Exam Score: 50%