人工智能和大数据环境下自动化专业教学模式的探索  

Exploration on teaching mode of Automation Specialty in artificial intelligence and big data environment

作　　者：赵佰亭[1] 于水娟[1] 李莹[1] 辛元芳[1] ZHAO Bai-ting, YU Shui-juan, LI Ying, XIN Yuan-fang(Anhui University of Science and Technology, Huainan Anhui 232001, China)

机构地区：[1]安徽理工大学,安徽淮南232001

出　　处：《科技视界》2018年第20期109-110,共2页Science & Technology Vision

摘　　要：根据目前的国内外形势,传统的自动化技术已不能满足越来越多的工业生产的需求,迫使自动化专业向知识化、信息化和智能化迈进,自动化专业正在面临着重大改革。在人工智能和大数据环境下,自动化专业健康、快速的发展,以工业生产领域的人工智能为基础,满足创新自动化人才的需求。更好地符合国际标准并适应国家双一流的发展战略。本文通过对国内外自动化专业发展的分析,对我国自动化专业改革与国际教育模式接轨整合的三种可能模式进行讨论,并提出我国的自动化专业的改革发展战略及建议。According to the current situation at home and abroad, the traditional automation technology can not meet the demand of more and more industrial production, forcing automation to become knowledgeable, informational and intelligent. Automation major is facing great reform. In the era of artificial intelligence and large data, automation education has developed rapidly and rapidly, and meets the needs of innovative automation talents with artificial intelligence based on artificial intelligence in the field of industrial production, in order to better integrate with the international community to adapt to the country ＇ s two-class development strategy. Through the analysis of the development of automation major at home and abroad, this paper discusses three possible modes of integration of the reform of automation specialty and the mode of International Education in China, and gives the strategy and suggestions for the reform and development of automation major in China.

关 键 词：自动化 接轨 改革 

分 类 号：F323.8[经济管理—产业经济] TP18[自动化与计算机技术—控制理论与控制工程]