摘要
数据科学与大数据技术专业是教育部为适应大数据和人工智能快速发展和行业需求而批准设立的新专业。上海工程技术大学于2017年成为第二批开设该专业的高校。数据科学与分析是该专业的一门导论类专业课程,主要内容涵盖大数据采集、存储、分析到应用的全流程技术,帮助学生建立大数据的基本概念并培养基于数据的思维方式。本文以数据科学与分析课程为例,将思政内容与课程内容进行有机结合,并探索一套完整的以课程内容驱动的专业课程思政教学和评价方法。
Data science and big data technology specialty is a new specialty approved by the Ministry of education to adapt to the rapid development of big data and artificial intelligence and the needs of the industry. In 2017, Shanghai University of engineering and technology became the second batch of universities to set up this major. Data science and analysis is an introduction professional course of the major, which mainly covers the whole process technology of big data collection, storage,analysis and application, and helps students establish the basic concept of big data and cultivate data-based thinking mode. Taking data science and analysis course as an example, this paper combines ideological and political content with curriculum content, and explores a complete set of Ideological and political teaching and evaluation methods driven by curriculum content.
作者
俞雷
刘翔
YU Lei;LIU Xiang(School of Electrical and Electronic Engineering,Shanghai University of Engineering Science,Shanghai 201620)
出处
《科教导刊》
2020年第27期94-95,共2页
The Guide Of Science & Education
基金
2020年上海高校青年教师培养资助计划(0232-A4-0100-20-QP-06)资助。
关键词
课程思政
内容驱动
评价机制
专业课程
curriculum Ideological and politics
content driven
evaluation mechanism
professional courses
