FIS PUEB计算机科学与定量研究硕士学位毕业率比较

Petr Doucek, Lea Snedomova
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引用次数: 0

摘要

PUEB的一个非常严重的问题是研究生的毕业率。某些学位课程的本科学习失败率在某些年份高达60%。本文分析了2015年至2020年FIS硕士学位项目的研究结果数据。我们的目的是比较不同学位课程组之间的“完成率”——其中一组是计算机科学学位课程,另一组是定量导向的课程(“计量经济学与统计学”)。我们将使用来自大学信息系统的数据进行分析。使用MS Excel工具进行分析。本文为这两个研究问题提供了答案。到目前为止获得的结果表明,无论是“信息学”还是“定量方法”,主要的共同特征是资助方法。定量导向研究项目的毕业率比信息学研究项目高近8%。如果学生自己支付学费,那么两组学生的学习时间都比使用公共资金的学生短。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of the Graduation Rate of the Master's Degree in the FIS PUEB Computer Science and Quantitative Study Programmes
A very serious problem at PUEB is the graduation rate for graduate studies. The failure rate for undergraduate studies is as high as 60% in some years for some degree programs. For the purpose of this paper, we analyze data on the study results between 2015 and 2020 for FIS master's degree programs. Our aim is to compare the "Completion rate" between different groups of degree programs - one of them is computer science degree programs and the other is quantitatively oriented programs (“Econometrics and Statistics”). We will use data for the analysis from the university information system. We will analyze those using MS Excel tools. The paper provides answers to the two research questions. The results obtained so far indicate that the main common feature, regardless of “Informatics” or “Quantitative Methods”, is the method of funding. Graduation rate is higher for almost eight per cent points in Quantitative oriented study programs then in Informatics studies. If the student pays for his/her own tuition, the study period is shorter for both groups of study programs students than if he/she uses public funds to finance it.
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