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Preparing Undergraduate Students Majoring in Computer Science and Mathematics with Data Science Perspectives and Awareness in the Age of Big Data

机译:利用数据科学的观点和大数据时代的意识来培养计算机科学与数学专业的本科生

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Undergraduate students majoring in Computer Science and Mathematics are entering the workforce not only as programmers and mathematicians but also as data and business intelligent analysts. These job profiles require students to effectively utilize databases and data warehouses technologies, summarize data from external sources including the Internet and provide solutions to complicate, dynamic and ever-changing problems. These areas of hard skills have not been integrated as a major component of undergraduate programs in mathematics and computer science. This paper is aimed at showing how to motivate the significance of mastering data science proficiency as well as depicting examples and resources for lecturers in implementing data science in computer sciences and mathematics curriculum. Two case studies from Computer Science and Informatics Mathematics Programs at Faculty of Science and Technology, Suan Sunandha Rajabhat University in Bangkok, Thailand are presented.
机译:计算机科学和数学专业的本科生不仅以程序员和数学家的身份进入工作岗位,而且以数据和业务智能分析师的身份进入工作队伍。这些职位简介要求学生有效利用数据库和数据仓库技术,汇总来自外部资源(包括Internet)的数据,并提供解决方案,以解决复杂,动态且不断变化的问题。这些硬技能领域尚未被整合为数学和计算机科学本科课程的主要组成部分。本文旨在展示如何激发掌握数据科学能力的重要性,并为教师讲授在计算机科学和数学课程中实施数据科学的实例和资源。介绍了来自泰国曼谷苏安·苏南达·拉贾拜特大学科学技术学院的计算机科学和信息学数学计划的两个案例研究。

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