An undergraduate degree in data science: curriculum and a decade of implementation experience
An undergraduate degree in data science: curriculum and a decade of implementation experience
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数据科学本科学位：课程和十年的实施经验
DOI：
10.1145/2538862.2538936
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Christopher W. Starr
中科院分区：
文献类型：
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作者：
Paul E. Anderson;J. Bowring;R. McCauley;George J. Pothering;Christopher W. Starr
我们描述了数据科学，一个为期四年的预测分析，机器学习和数据挖掘在查尔斯顿，查尔斯顿，南卡罗来纳州，美国大学实施的本科课程。我们提出了一个十年的状态报告，详细介绍了该计划的起源，成功和挑战。我们的经验表明，大数据概念的教育和培训在本科阶段是可能的和实用的。该计划的发展与在数据集和流数据中查找实用程序的需求不断增长相平行。该课程是一个77学分的计划，已成功地在文科和理科机构由计算机科学和数学学院实施。
We describe Data Science, a four-year undergraduate program in predictive analytics, machine learning, and data mining implemented at the College of Charleston, Charleston, South Carolina, USA. We present a ten-year status report detailing the program's origins, successes, and challenges. Our experience demonstrates that education and training for big data concepts are possible and practical at the undergraduate level. The development of this program parallels the growing demand for finding utility in data sets and streaming data. The curriculum is a seventy-seven credit-hour program that has been successfully implemented in a liberal arts and sciences institution by the faculties of computer science and mathematics.