Computer modules for a mathematical modelling course

ACM-SE 18 Pub Date : 1980-03-24 DOI:10.1145/503838.503882
S. Blumsack
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Abstract

I . Introduction Mathematical modelling has become recognized as an important component in applied mathematics curricula during the past ten years. Evidence of this fact is the existence of several textbooks in modelling published in recent years. The need for such a course stems from the neglect of modelling concepts in most undergraduate courses in which time constraints usually do not allow the inclusion of modelling with the theory and techniques. At Florida State University, the course Mathematical Modelling of Scientif ic Problems, a junior level course (with prerequisites of calculus, including some ordinary d i f f erential equations), has been introduced to f i l l this void. The computer can play a v i ta l role in a modelling course without downgrading the role of qualitative analysis. As a calculation and graphing device the computer can free time for concentration on modelling concepts such as formulation, result analyses and modification. The results of computer runs often suggest the form of an analysis that can generalize and render understandable the specific results of a few "model runs;" see Greenspan (1971). The computer can indicate the degree to which approximations made in an analysis are in fact realized. The computer could indicate that a part icular model is absurd and this save the modeller the effort of considering the model at a l l . As part of the CAUSE project at FSU, a package of mathematical modelling modules have been developed during the past 3 years. They consist of FORTRAN programs which produce digital and graphical output with l i t t l e computer experience required by the user. The modules play a variety of roles in the course. The instructor can use them to generate examples of material discussed in class. The students can use them to answer their own questions such as "What would happen i f our
数学建模课程的计算机模块
我。在过去的十年里,数学建模已经成为应用数学课程的一个重要组成部分。这一事实的证据是近年来出版的几本模型教科书。对这样一门课程的需求源于大多数本科课程中对建模概念的忽视,因为时间限制通常不允许将建模与理论和技术结合起来。在佛罗里达州立大学,一门初级课程——科学问题的数学建模(前提是微积分,包括一些普通的微分方程)——已经被引入到这个空白中。计算机可以在不降低定性分析作用的情况下,在建模课程中发挥重要作用。作为一种计算和绘图设备,计算机可以腾出时间专注于建模概念,如公式、结果分析和修改。计算机运行的结果通常建议一种分析形式,可以概括和呈现一些“模型运行”的具体结果;见格林斯潘(1971)。计算机可以指示分析中所作的近似实际上实现的程度。计算机可以指出某一特定的模型是荒谬的,这节省了建模者从全局考虑模型的努力。作为FSU CAUSE项目的一部分,在过去三年中开发了一套数学建模模块。它们由FORTRAN程序组成,这些程序产生数字和图形输出,并提供用户所需的计算机体验。这些模块在课程中扮演着不同的角色。教师可以使用它们来生成课堂上讨论的材料的例子。学生们可以用它们来回答自己的问题,比如“如果我们……会发生什么?
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