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Discrete mathematics for computer science majors---where are we? How do we proceed?

机译:计算机科学专业的离散数学-我们在哪里?我们该如何进行?

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It has been nine years since Anthony Ralston and Mary Shaw called for a rethinking of the importance of sound mathematical training for undergraduate computer science majors [14]. In their paper they stressed the need to develop a two-year sequence in discrete mathematics for beginning computer science majors. Since that time numerous articles about such a sequence have appeared in both mathematics and computer science journals [4], [9], [12] and [13] and a number of panel sessions at professional meetings of SIGSCE and of the Mathematical Association of America (MAA) have been held. After all this time questions about the place of discrete mathematics in the undergraduate curriculum are still being debated. One question that is no longer being asked is: should discrete mathematics be part of a computer science major's undergraduate program? The questions that are being asked now and for which there are no easy answers are: at what level should discrete mathematics be taught? should there be one course, two courses or even three courses? what should the prerequisites be for these courses? and what topics should be presented in these courses? Computer scientists and mathematicians who have read the literature, listened to the debates, examined the textbooks or taught a course in discrete mathematics or discrete structures know that there appears to be little agreement as to how and what works and when it works best. This paper attempts to analyze the current situation in more detail and to offer a few suggestions to keep the dialogue alive.

机译:安东尼·拉尔斯顿(Anthony Ralston)和玛丽·肖(Mary Shaw)呼吁重新考虑合理的数学训练对计算机科学专业的重要性已经过去了9年[14]。在他们的论文中,他们强调有必要为计算机科学专业的初学者开发为期两年的离散数学课程。自那时以来,有关这种序列的大量文章都出现在数学和计算机科学期刊上[4],[9],[12]和[13]以及SIGSCE和美国数学协会的专业会议上的许多小组会议中美国(MAA)已举行。在所有这些时间之后,关于离散数学在本科课程中的位置的问题仍在辩论中。一个不再被问到的问题是:离散数学应该成为计算机科学专业的本科课程的一部分吗?现在提出的问题和没有简单答案的问题是:应该在什么水平上教授离散数学?应该有一门课,两门课甚至三门课吗?这些课程的前提条件是什么?在这些课程中应该介绍哪些主题?读过文学,听辩论,听过教科书或讲授离散数学或离散结构课程的计算机科学家和数学家知道,关于如何以及什么有效以及何时最佳可行似乎并没有多少共识。本文试图更详细地分析当前形势,并提出一些使对话保持活力的建议。

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