Offering Data Science Coursework to Non-Computing Majors

Offering Data Science Coursework to Non-Computing Majors
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为非计算机专业提供数据科学课程

DOI:
10.1145/3596673.3596971
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发表时间:
2023
期刊:
Proceedings of the 2nd International Workshop on Data Systems Education: Bridging education practice with education research
影响因子:
--
通讯作者:
Fluet, Kimberly
Fluet, Kimberly
中科院分区:
--
文献类型:
--
作者:
Liu, Xumin;Golen, Erik;Raj, Rajendra K.;Fluet, Kimberly

文献摘要

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相似文献

计算机系提供的数据科学课程往往不适合非计算机专业的学生,因为它强调编程,并且有一长串的计算机科学、数学或统计学的先决课程。此外,计算机学院为计算机专业设计的课程并不总是与其他学科学生的背景和兴趣相匹配。本文讨论了为编码经验有限的非计算学科的学生提供入门级数据科学课程的动机和挑战。讨论了罗彻斯特理工学院本课程的教学经验。初步评估结果表明这种方法是有用的。
Data science courses offered by computing departments tend to be inappropriate for non-computing majors due to the emphasis on coding and a long chain of prerequisite courses in computer science and mathematics or statistics. Moreover, courses designed for computing majors by computing faculty do not always match the backgrounds and interests of students majoring in other disciplines. This paper discusses the motivation and challenges of offering an entry-level data science course for students in non-computing disciplines with limited coding experience. Experiences with the teaching of this course at the Rochester Institute of Technology are discussed. Preliminary assessment results have shown this approach to be useful.
协调加强计算教学与数据科学的承诺和实用性
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发表时间: 2018
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影响因子: --
作者:
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影响因子: --
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