摘要
为了培养更多的大数据和人工智能类人才,满足高素质数据智能类人才需求,很多高校相继开始了数据智能类专业。文章讨论分析了在这些专业人才培养中具有重要作用的最优化类课程面临的问题。提出了根据不同专业要求合理设计教学内容、采用高效教学方法的教学方案。并讨论了最优化类课程在整个课程体系中的作用以及如何与其它课程相互衔接等主要问题,为达成专业培养目标提供了一种合理思路。
Nowadays many universities have published new majors such as big data and artificial intelligence to educate more students and meet the needs of high-quality demands.This article discusses the problems faced by the course of optimization for these majors and proposed some ideas for the teaching contents for the course.The teaching schemes and teaching methods are also analyzed according to the requirements of different majors.The role of optimization courses in the entire curriculum system and how to connect with other courses are discussed simultaneously.This paper provides a reasonable schema of teaching the course of optimization for achieving professional education goals for these new majors.
作者
黄宏博
潘淑文
HUANG Hongbo;PAN Shuwen
出处
《高教学刊》
2020年第21期113-115,共3页
Journal of Higher Education
基金
2019年度北京信息科技大学高教研究重点项目“教研协同的智能信息类人才培养模式研究”(编号:2019GJZD01)。
关键词
最优化
课程体系
教学改革
大数据
人工智能
optimization
curriculum system
teaching reform
big data
artificial intelligence