创新创业理论研究与实践 ›› 2024, Vol. 7 ›› Issue (2): 28-32.

• 教学革新 • 上一篇    下一篇

基于“专创融合”的数据可视化技术与应用课程改革

余小东, 王跃飞, 曾宇   

  1. 成都大学 计算机学院,四川成都 610106
  • 出版日期:2024-01-25 发布日期:2024-04-17
  • 作者简介:余小东(1988—),男,四川达州人,博士研究生,讲师,研究方向:大数据分析研究及教学,电子邮箱:yuxiaodong@cdu.edu.cn。
  • 基金资助:
    2022年度教育部产学合作协同育人项目“基于知识共享模式的大数据核心课程实践教学平台建设”(220901418271721); 2022年度教育部产学合作协同育人项目“专创融合背景下《数据可视化技术与应用》 课程实践基地建设”(220901141291541); 成都大学2021—2023年人才培养质量和教学改革项目“基于知识共享模式的数据科学与大数据技术专业核心课程群建设研究与实践”(cdjgb2022150)

Curriculum Reform of Data Visualization Technology and Application Course Based on the “Integration of Specialization and Innovation”

YU Xiaodong, WANG Yuefei, ZENG Yu   

  1. School of Computer Science, Chengdu University, Chengdu Sichuan, 610106, China
  • Online:2024-01-25 Published:2024-04-17

摘要: 在“大众创业、万众创新”的背景下,“专创融合”教学改革是促进学生就业、提升学生创新创业能力的重要途经,但是“专创融合”课程的开发一直是创新创业教育中的一个难点。为探索数据科学与大数据技术专业的“专创融合”课程教学改革,该文以数据可视化技术与应用课程为例,从课程教学目标、教学内容、教学过程和考核方式几个方面进行分析,为该专业其他课程的开发提供参考,以促进专业层面上“专创融合”人才培养方案的建立。

关键词: “专创融合”, 创新创业, 数据科学, 大数据技术, 人才培养, 课程改革

Abstract: Under the background of“mass entrepreneurship and innovation”, the teaching reform of“integration of specialization and innovation”is an important way to promote employment and enhance the innovation and entrepreneurship abilities of college students, but the development of“integration of specialization and innovation”course has always been a difficulty in innovation and entrepreneurship education. In order to explore the teaching reform of“integration of specialization and innovation”in the major of Data Science and Big Data Technology, taking the course of Data Visualization Technology and Application as an example, it is analyzed from the aspects of course Objectives, teaching content, teaching process and assessment methods. It can provide reference for the development of other courses in this major, so as to promote the establishment of the“integration of specialization and innovation”talent training program of the major.

Key words: “Integration of specialization and innovation”, Innovation and entrepreneurship, Data science, Big data technology, Personnel training, Curriculum reform

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