新工科背景下人工智能人才培养体系探究

严远亭; 张以文; 陈洁; 张燕平

doi:10.12152/j.issn.1672-2868.2019.03.017

巢湖学院学报 >

2019 , Vol. 21 >Issue 3: 119 - 125

DOI: https://doi.org/10.12152/j.issn.1672-2868.2019.03.017

高教改革与探索

新工科背景下人工智能人才培养体系探究

严远亭 ,
张以文 ,
陈洁 ,
张燕平

展开

安徽大学计算机科学与技术学院，安徽合肥 230601

严远亭（1986-），男，安徽宣城人，安徽大学计算机科学与技术学院讲师，博士，主要从事机器学习研究。

收稿日期: 2018-12-18

网络出版日期: 2019-05-25

基金资助

国家级质量工程项目（项目编号：TS11483）；安徽大学教学研究项目（项目编号：J10118458060）

收起

Research on Training System for Artificial Intelligence Talents against the Background of New Engineering

YAN Yuan-ting ,
ZHANG Yi-wen ,
CHEN Jie ,
ZHANG Yan-ping

Expand

School of Computer Science and Technology, Anhui University, Hefei Anhui 230601

Received date: 2018-12-18

Online published: 2019-05-25

Supported by

Fold

摘要

当前我国正处于推进社会经济转型的关键时期，具有创新精神和创新能力的创新型人才是推动社会经济转型的核心支撑力，以人工智能为代表的先进技术在新经济中正发挥着越来越重要的作用。以培养创新型人才为目标的新工科建设已成为我国工程教育界的普遍共识。教育部在高等学校人工智能创新行动计划中明确提出推进新工科建设，完善人工智能领域人才培养体系。在此背景下，在分析人工智能专业特点、借鉴国外知名高校经验的基础上，从人工智能人才的柔性培养方案制定、人工智能人才培养的课程体系构建和本-硕-博人才培养路径设计等三个方面探讨了新工科建设背景下人工智能人才培养体系的建设思路。

关键词： 新工科; 人工智能; 培养体系

本文引用格式

严远亭 , 张以文 , 陈洁 , 张燕平 . 新工科背景下人工智能人才培养体系探究[J]. 巢湖学院学报, 2019 , 21(3) : 119 -125 . DOI: 10.12152/j.issn.1672-2868.2019.03.017

Abstract

China is now in a critical period of economic transition, innovative talents with innovative spirit and ability are the core supporting force to promote social and economic transition. Advanced technologies with artificial intelligence as the representative are playing an increasingly important role in the new economy. The "new engineering" project which aims to cultivate innovative talents has become a consensus of engineering education circle of China. In artificial intelligence (AI) innovation action plan, Ministry of Education states that the construction of new engineering project should be promoted and the AI talent training system be improved. Against this background,this paper first analyzes the characteristics of artificial intelligence and the experience of famous foreign universities, and then discusses the construction ideas for AI talent training system from three aspects, including the formulation of flexible training program for AI talent, the construction of curriculum system for AI talent training, and the design of bachelor-master-doctoral talent training path.

Key words： new engineering; artificial intelligence; training system

Options

文章导航

模态框（Modal）标题

摘要

本文引用格式

Abstract