期刊文献+

科产教深融合,构建“无线通信中的人工智能”高新课程 被引量:3

For Deep Integration of Research, Industry, and Education, Construction of “Artificial Intelligence in Wireless Communication” High-tech Curriculum
原文传递
导出
摘要 以5G/6G、人工智能(AI)为引领的新一轮信息科技革命和产业变革是世界大国竞争的高地,人才培养质量关乎成败。针对现有专业教学难以跟上信息通信行业的飞速发展,课程内容更新滞后,教学方式固化,特别是缺乏学科交叉、难以解决工程真问题等痛点,本文作者瞄准新一轮信息通信科技革命和产业变革对“新工科”人才的需求,基于“为未知而教,为未来而学”教学理念,在国内率先开设了一门无线通信与AI交叉的本科高新标杆专业课程“无线通信中的人工智能”,力图在培养服务国家战略、符合行业需求、面向未来发展的移动通信一流人才上探索一条创新之路。文中深度剖析了通信工程和人工智能交叉复合的学情现状与存在的问题,提出了“无线通信中的人工智能”高新课程创建的教学理念、教学目标和创新思路,详细阐述了教学创新方法、途径以及取得的教学实践成效,以供院校开设相关新课程作参考。 The new round of information technology revolution and industrial transformation led by 5 G/6 G and artificial intelligence is the high ground for world power competition, and the quality of talent training is the key to success. For the existing professional teaching, it is difficult to keep up with the rapid development of the information and communication industry, the updating of the course contents is lag, the teaching methods are solidified, especially the pain points such as the lack of discipline intersection and the difficulty in solving real engineering problems. Based on the teaching concept of “teaching for the unknown and learning for the future”, the authors of this paper take the lead in offering a high-tech benchmark professional course “artificial intelligence in wireless communication”, which is a cross between wireless communication and artificial intelligence, and try to explore an innovative way in cultivating first-class mobile communication talents which serve the national strategy, meet the industry needs, and face the future development. This paper profoundly discusses the current situation and existing problems of the intersection of communication engineering and artificial intelligence, proposes the teaching concept, teaching objective and innovative ideas of the construction of the high-tech course “artificial intelligence in wireless communication”, and sets forth the teaching innovation methods, paths, and teaching practice effectiveness, which provides a reference for colleges and universities to offer relevant new courses.
作者 张平 崔琪楣 胡铮 刘宜明 秦晓琦 Zhang Ping;Cui Qimei;Hu Zheng;Liu Yiming;Qin Xiaoqi
出处 《高等工程教育研究》 CSSCI 北大核心 2022年第6期14-18,共5页 Research in Higher Education of Engineering
基金 北京邮电大学教改项目(2020JC01、2021Y003) 教育部产学合作协同育人项目(202101098001)。
关键词 无线通信 人工智能 科产教融合 学科交叉融合 案例教学 wireless communication artificial intelligence research-industry-university cooperation interdisciplinary integration case teaching
  • 相关文献

参考文献9

二级参考文献74

同被引文献23

引证文献3

二级引证文献14

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部