Intelligent Manufacturing Engineering

I. Program Introduction

This program focuses on the interdisciplinary integration needs of Industry 4.0, responds to the trend of the Fourth Industrial Revolution, and breaks the traditional discipline‑based education model and path dependence. Supported by the strong mechanical engineering disciplines of Xi’an Jiaotong University and Politecnico di Milano, it integrates information and communication engineering, computer science, industrial engineering and other related disciplines. It aims to cultivate professional, innovative and top‑level engineering and technological talents with international vision, systematic thinking ability and cross‑border integration capability, who can adapt to the new business forms of future intelligent manufacturing.

As the main supporting discipline of this program, Mechanical Engineering at Xi’an Jiaotong University is among the first batch of national key first‑level disciplines and a “Double First‑Class” construction discipline under the Ministry of Education. It ranks in the top tier in the latest national discipline assessment and also takes a leading position in global university rankings for mechanical engineering. The discipline is equipped with 24 national and provincial‑level research bases, including the State Key Laboratory for Precision Manufacturing and Nano Technology, and the 2011 Collaborative Innovation Center for High‑End Manufacturing Equipment. It also has two national experimental teaching demonstration centers for basic mechanical engineering and mechanical engineering. In addition, a comprehensive intelligent manufacturing practice teaching platform featuring “virtual‑real integration” and supporting off‑campus and remote interaction has been built on Xingqing Campus and Innovation Harbor Campus, providing strong support for the training of intelligent manufacturing talents.

Mechanical Engineering at Politecnico di Milano, another core supporting discipline, enjoys a worldwide reputation. It maintains close ties with high‑end manufacturing industries such as automotive, energy, aerospace and others. It offers intelligent manufacturing‑related concentrations including advanced propulsion, mechanical system design, production engineering, mechatronics and so on. Through “Italian‑style design”, it enhances the innovation, aesthetics, functionality and manufacturability of products, and holds a world‑leading position in renewable energy, robotics, networked collaborative manufacturing and other fields. The discipline attaches great importance to talent training, emphasizes the integration of theoretical fundamentals and engineering practice, and integrates practical projects into a large number of courses to develop students’ ability to solve real‑world engineering problems.

The program strengthens educational innovation and Sino‑foreign cooperative education in line with the global “STEAM” trend (integration of Science, Technology, Engineering, Art and Mathematics). Adhering to the talent development philosophy of “solid foundation, strict requirements, emphasis on practice and pursuit of innovation”, it optimizes the OBE‑oriented talent training system and model to cultivate global vision leaders in intelligent manufacturing.

II. Educational Objectives

Graduates of this program shall possess first‑class moral character and core personal values of “Diligence, Sincerity, Perseverance and Tolerance”. They should have a strong engineering social perspective, engineering systems view, engineering ethics and international vision, master broad scientific and engineering fundamental theories, as well as solid professional knowledge covering the entire product lifecycle including intelligent design, intelligent production and intelligent operation and maintenance. They should be capable of comprehensively and innovatively applying technologies such as big data, artificial intelligence and cloud computing in product development, technological research, production management, scientific research and other positions in intelligent manufacturing and related fields. They should also integrate non‑technical factors including society, law, safety, culture and environment to effectively solve complex engineering problems, achieve continuous self‑improvement, and demonstrate potential as modern leading engineering and technological talents.

After approximately five years of self‑study and industrial practice following graduation, students will be able to achieve the following:

Objective 1: Possess a solid foundation in mathematics, natural sciences and engineering knowledge, master systematic professional knowledge of intelligent manufacturing, and comprehensively apply big data, artificial intelligence, cloud computing and other tools for complex product development and production system operation.

Objective 2: Have the ability to analyze, practice and innovate in solving complex engineering problems in intelligent products and production systems with global and systematic thinking by balancing technical and non‑technical factors, as well as the ability to manage engineering projects.

Objective 3: Demonstrate good teamwork spirit and communication skills, with international vision and cross‑cultural communication, competition and cooperation capabilities.

Objective 4: Possess good moral character and professional standards, understand laws, regulations, policies, standards and sustainable development concepts related to the intelligent engineering profession, and uphold the values of modern industrial society with a strong sense of social and professional responsibility.

Objective 5: Have critical thinking, a spirit of lifelong learning and the ability for continuous further study. Understand the impact of widespread technological changes on engineering and society, and adapt to the evolution of technologies and concepts in related fields.

III. Graduation Requirements

The graduation requirements for this program are as follows:

A. Engineering Knowledge: Systematically master mathematics, natural sciences, engineering fundamentals and professional knowledge in the field of intelligent manufacturing, and be able to apply such knowledge individually or comprehensively to solve complex engineering problems related to intelligent manufacturing.

B. Problem Analysis: Apply basic principles of mathematics, natural sciences, computing and engineering sciences to identify, formulate and analyze complex engineering problems in intelligent design, intelligent production and intelligent operation and maintenance through literature research, with comprehensive consideration of sustainable development to reach effective conclusions.

C. Design/Development of Solutions: Design and develop innovative solutions for complex engineering problems in intelligent manufacturing (design, production and operation and maintenance) of modern industrial products/systems, while comprehensively accounting for social constraints including engineering, legal, cultural and environmental factors.

D. Research: Conduct research on complex engineering problems in intelligent manufacturing (design, production and operation and maintenance) of modern industrial products/systems based on scientific principles and appropriate methods, including designing experiments, analyzing and interpreting data, and derive reasonable and effective conclusions through integrated research methods or information synthesis.

E. Use of Modern Tools: Select, apply and develop appropriate technologies, resources and tools for complex engineering problems in intelligent manufacturing (design, production and operation and maintenance) of modern industrial products/systems, and apply modern engineering and information technology tools throughout the intelligent manufacturing process while understanding their limitations.

F. Engineering and Sustainable Development: When solving complex intelligent manufacturing engineering problems, understand, analyze and evaluate the impacts of engineering practices on health, safety, environment, law, economic and social sustainable development based on relevant background knowledge. Recognize the engineering and social responsibilities of professional practitioners in intelligent manufacturing, and integrate the grand engineering perspective and sustainable development concepts into all stages of product design, development and operation for complex intelligent manufacturing problems.

G. Engineering Ethics and Professional Standards: Have the awareness of serving the country and benefiting the people through engineering, possess strong humanistic and social literacy and social responsibility. Understand and practice engineering ethics, abide by professional ethics, standards and relevant laws in engineering practice to fulfill responsibilities when solving complex intelligent manufacturing problems.

H. Individual and Team: Undertake roles as an individual, team member or leader in multidisciplinary teams, with strong collaboration, organization and management capabilities.

I. Communication: Communicate effectively with peers in the field and the general public. Compose reports, design documents, deliver presentations, express ideas clearly and respond to instructions regarding complex intelligent manufacturing problems. Possess international vision, understand and respect linguistic and cultural differences, and communicate across cultural backgrounds.

J. Project Management: Understand and master engineering management principles and economic decision‑making methods, and apply such knowledge in intelligent manufacturing and multidisciplinary environments.

K. Lifelong Learning: Have the awareness of independent learning, lifelong learning and critical thinking. Understand the impact of widespread technological changes on engineering and society, and maintain the ability to learn continuously and adapt to technological and conceptual developments in the field.

IV. Core and Related Disciplines

Core Discipline:

Mechanical Engineering

Related Disciplines:

Instrument Science and Technology

Information and Communication Engineering

Computer Science and Technology

Control Science and Engineering

Artificial Intelligence

Management Science and Engineering

V. Duration of Study, Degree Conferral and Graduation Requirements

Duration of Study: 4 years

Degrees Conferred:

Bachelor of Engineering, Xi’an Jiaotong University

Laurea in Ingegneria Meccanica, Politecnico di Milano

Graduation Requirements:

Students must complete 149 credits as specified in the program curriculum and 8 extracurricular practice credits (including no fewer than 2 credits in innovation and entrepreneurship courses, no fewer than 2 credits in aesthetic education courses, and no fewer than 32 class hours of labor education). They must also pass the military training assessment and meet the requirements of Xi’an Jiaotong University Undergraduate Labor Education Implementation Rules, Xi’an Jiaotong University College English Course Implementation Rules, Xi’an Jiaotong University Physical Education Implementation Rules, Xi’an Jiaotong University Innovation and Entrepreneurship Course Implementation Rules, and Xi’an Jiaotong University General Education Course Implementation Rules. Upon fulfillment, students will be granted graduation and awarded a graduation certificate.

Those who meet the Xi’an Jiaotong University Undergraduate Academic Administration and Degree Conferring Regulations will be conferred a degree and awarded a degree certificate. Meanwhile, students who satisfy the undergraduate graduation and degree conferral requirements of Politecnico di Milano will be awarded the Laurea in Ingegneria Meccanica by Politecnico di Milano.