美国数据科学专业教学大纲调查

Survey of Data Science Syllabus in American

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。

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.