Doctor of Professional Studies in Computing: A Categorization of Applied Industry Research

Lisa Ellrodt, Ion Freeman, Ashley Haigler, Suzanna E. Schmeelk
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引用次数: 3

Abstract

This is a full paper in the Innovate Practice category examining a Doctor of Professional Studies (D.P.S.) in Computing program at Pace University which is a specialized degree program designed for active Information Technology (IT) professionals with at least five years of full time experience in the computing field. The first question that guided our research is how is the Pace University D.P.S. program related to other doctoral computing programs in the United States and globally. The second question that guided our inquiry is dissertation topics pursued by graduates in dissertation research, specifically by IT professionals in the Pace University program. To answer this second question, we analyzed the first 114 dissertation abstracts that have been defended at Pace University in the Seidenberg School of Computer Science and Information Systems. We used machine learning and natural language processing to determine commonalities among research topics in order to gain an understanding of the topic categories and topic spread produced by the program.
计算机专业研究博士:应用工业研究分类
这是一篇创新实践类别的完整论文,研究了佩斯大学计算机专业研究博士(D.P.S.)课程,该课程是为活跃的信息技术(IT)专业人士设计的专业学位课程,他们在计算机领域至少有五年的全职经验。指导我们研究的第一个问题是,佩斯大学D.P.S.项目与美国和全球其他计算机博士项目的关系如何。指导我们调查的第二个问题是毕业生在论文研究中所追求的论文主题,特别是佩斯大学项目中的IT专业人员。为了回答第二个问题,我们分析了佩斯大学塞登堡计算机科学与信息系统学院的前114篇论文摘要。我们使用机器学习和自然语言处理来确定研究主题之间的共性,以便了解程序产生的主题类别和主题传播。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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