摘要
随着大数据与人工智能技术的快速发展,自2016年以来,共283所高校获批数据科学与大数据技术专业。针对该专业的人才培养目标中涉及的主干课程《数据可视化技术》,进行了研究背景、课程定位分析以及教学内容探讨。分析了课程与专业的目标定位问题,优化精练了课程的理论教学和实验教学的内容。教学实践证明教学内容符合新工科的培养要求。
With the rapid development of big data and artificial intelligence technology,a total of 283 universities and colleges have been approved to major in data science and big data technology since 2016.Aiming at the main course data visualization technology involved in the talent training objective of this major,the research background,course positioning analysis and teaching content discussion are carried out.This paper analyzes the problem of course and specialty target orientation,optimizes and refines the theoretical teaching content and experimental teaching content of the course.The teaching practice proves that the teaching content conforms to the training requirements of emerging engineering education.
作者
杨丹
陶皖
刘三民
石建国
詹郭睿
YANG Dan;TAO Wan;LIU San-min;SHI Jian-guo;Zhan Guo-rui(School of Computer and Information,Anhui Polytechnic University,Wuhu,Anhui 241000)
出处
《牡丹江教育学院学报》
2019年第7期54-57,共4页
Journal of Mudanjiang College of Education
基金
安徽工程大学新工科项目(2018xgksfkc08),安徽工程大学重大教学研究项目(新工科专项)(2018jyxm01)
安徽工程大学校级本科教学质量提升计划项目(2015jyxm52,2016syzx01)
安徽省省级质量工程项目(2016sxzx005)
关键词
数据科学
大数据技术
数据可视化
新工科
教学内容
Data science
Big data technology
Data visualization
Emerging engineering education
Teaching content
