Smart Manufacturing Program

The construction of intelligent manufacturing discipline starts from the industrial scenario and is in line with the talent cultivation program of the university's intelligent manufacturing-oriented majors.  

Professional Training Objectives

Intelligent manufacturing engineering is based on the national economic development and revolves around the industrial chain of intelligent manufacturing. By innovating the personnel training mechanism, optimizing the curriculum system, strengthening the teaching staff, deepening the school-enterprise cooperation, intelligent manufacturing engineering is trained to meet the requirements of our economic, technological and social development, and to have good scientific and cultural literacy, engineering practical ability and innovative thinking ability. Application-oriented talents in intelligent manufacturing field for modern manufacturing enterprises.  

Professional characteristics

In order to meet the requirements of modern manufacturing industry, the integration of electromechanical engineering, machine vision, industrial robotics and artificial intelligence is aimed at modern manufacturing enterprises to cultivate senior engineering talents who can engage in intelligent product design and manufacturing, maintenance of electromechanical technology and technical services, etc.  

Primary Period - Smart Manufacturing Scenario Learning Practical Training

Duration: 4 weeks

Location: enterprise internship base

Notification：

4 learning areas, 12 scenarios in total, three stages of learning.
After the first phase of the theoretical course, 2 scenarios are selected as practical training scenarios.  

Learning process：

University period-Intelligent manufacturing enterprise internship practical training

Duration: 12 weeks

Location: Smart manufacturing companies

Notification：

You need to choose the direction of the company internship according to the scenarios you learned in the primary period.
The internship direction contains: machine vision, industrial robotics, and Internet of Things.  

Learning process：

Practical training equipment

Uni-Block

Uni-Block with multiple tops on the same base.

Based on Uni-Block to achieve enterprise-level scenario learning, Uni-Block top-loading process package to achieve plug-and-play, the same base can be matched with a variety of top-loading.  

Training cases