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首页> 外文期刊>IEEE computational science & engineering >What should computer scientists teach to physical scientists and engineers?
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What should computer scientists teach to physical scientists and engineers?

机译:计算机科学家应该向物理科学家和工程师教什么?

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To help clarify the issues involved in deciding what computing skills to teach to physical scientists and engineers, the article presents a thought experiment. Imagine that every new graduate student in science and engineering at your institution, or every new employee in your company's R&D division, has to take an intensive one week computing course. What would you want that course to cover? Should it concentrate on algorithms and data structures, such as multigrid methods and adaptively refined meshes? Should it introduce students to one or two commonly used packages, such as Matlab and SAS? Or should it try to teach students the craft of programming, giving examples to show why modularity is important and how design cycles work. The author chose one week as the length of our idealized course because it is long enough to permit discussion of several topics, but short enough to force stringent prioritization.
机译:为了帮助弄清在决定向物理科学家和工程师教授什么计算技能时所涉及的问题,本文提出了一个思想实验。想象一下,您机构中每个科学与工程专业的新研究生,或公司研发部门的每个新员工,都必须参加密集的一周计算课程。您希望该课程涵盖哪些内容?是否应该专注于算法和数据结构,例如多网格方法和自适应精炼的网格?是否应该向学生介绍一两个常用的软件包,例如Matlab和SAS?还是应该尝试教给学生编程技巧,并举例说明模块化为何如此重要以及设计周期如何工作。作者选择一周作为我们理想化课程的时长,因为它足够长以允许讨论几个主题,但又足够短以强制进行严格的优先级排序。

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