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| 新工科背景下“模式识别”课程教学改革与探索 |
| Reformation and Exploration of “Pattern Recognition” Course under the Background of Emerging Engineering Education |
| 投稿时间：2019-05-06 修订日期：2019-12-18 |
| DOI： |
| 中文关键词: 新工科 模式识别 课程改革 |
| 英文关键词: Emerging engineering education Pattern recognition Curriculum reform |
| 基金项目:河南省产学合作协同育人项目（201801142028）；河南省教育科学“十三五”规划（2017-JKGHYB-0034）; 河南理工大学研究生教育教学改革项目(2017YJ02) |
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| 中文摘要: |
| 在新工科理念下,高校教育教学改革的重点是课程体系的重构,新工科势必对今后高校人才的培养方式方法提出更高的要求和期望。“模式识别”是智能科学与技术的核心课程,也是人工智能领域的重要组成部分。但是,该课程在实际教学过程中存在理论性太强、教学内容枯燥、实践教学环节相对薄弱等问题,与新工科理念相去甚远。本文分析以上问题的原因,提出在新工科背景下对模式识别课程进行课程体系重构,将最新的相关知识、技术嵌入到模式识别课程的基础知识体系中,同时对该课程的教学内容和教学方法进行项目化、立体化改进,使其在人工智能领域发挥更大的作用。 |
| 英文摘要: |
| The key point of college education and teaching reform is the reconstruction of curriculum system under the concept of emerging engineering education, which will raise higher demands and greater expectations for personnel cultivating model in colleges and universities in the future. “Pattern recognition” is the core course of intelligent science and technology and an important part of the field of artificial intelligence. However, this course is far from the new engineering concept due to the problems such as too strong theoretical content, boring teaching content and relatively weak practical teaching process. Aim at those problems, this paper puts forward to reconstruct the course system and embed the latest knowledge and technology into the basic knowledge of pattern recognition. At the same time, the teaching content and teaching methods are improved in a project-based and three-dimensional way, which will make the course to play a greater role in the field of artificial intelligence. |
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