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美国数据科学专业教学大纲调查

Survey of Data Science Syllabus in American

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【作者】 付希善曲国庆

【Author】 FU XiShan;QU GuoQing;Institute of Scientific & Technical Information, Shandong University of Technology;

【通讯作者】 付希善;

【机构】 山东理工大学科技信息研究所

【摘要】 数据科学已成为美国高等学术机构提供的常见课程之一,我国高校也纷纷开始建立数据科学专业,对美国数据科学专业教学大纲进行调查可以为我国培育数据科学人才提供借鉴。在考察美国42所高等教育机构数据科学教学大纲中最常开设的课程、最常使用的参考书目及师生交流平台等内容的基础上,将其与大数据科学教学大纲进行比较。美国高校数据科学教学大纲内容清晰而丰富,为学生提供更直接的承诺,更强调学习目标,更具包容性。最后,结合调查结果,对如何形成我国独具特色的数据科学课程体系和教学内容提出建议。

【Abstract】 Data science has become one of the most common courses offered by higher academic institutions in the United States. Chinese universities have also begun to establish data science majors, the investigation of the teaching syllabus of data science in the United States can provide reference for the cultivation of data science talents in China. This paper examines the most frequently offered courses, bibliographies and teacher-student communication platforms in the data science syllabuses of 42 higher education institutions in the United States, and compares the data science syllabuses with the big data syllabuses. The research shows that the content of the syllabus is clear and rich, it provides more direct commitment, more emphasis on learning objectives, more inclusive. Finally, combined with the results of the survey, some suggestions are put forward on how to form the unique curriculum system and teaching contents of data science in China.

【关键词】 数据科学教学大纲大数据
【Key words】 Data ScienceSyllabusBig Data
  • 【文献出处】 数字图书馆论坛 ,Digital Library Forum , 编辑部邮箱 ,2020年05期
  • 【分类号】TP311.13-4;G642
  • 【被引频次】2
  • 【下载频次】272
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