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Pervasive parallel and distributed computing in a liberal arts college curriculum

机译:自由艺术学院课程中普遍平行和分布式计算

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摘要

We present a model for incorporating parallel and distributed computing (PDC) throughout an undergraduate CS curriculum. Our curriculum is designed to introduce students early to parallel and distributed computing topics and to expose students to these topics repeatedly in the context of a wide variety of CS courses. The key to our approach is the development of a required intermediate-level course that serves as a introduction to computer systems and parallel computing. It serves as a requirement for every CS major and minor and is a prerequisite to upper-level courses that expand on parallel and distributed computing topics in different contexts. With the addition of this new course, we are able to easily make room in upper-level courses to add and expand parallel and distributed computing topics. The goal of our curricular design is to ensure that every graduating CS major has exposure to parallel and distributed computing, with both a breadth and depth of coverage. Our curriculum is particularly designed for the constraints of a small liberal arts college, however, much of its ideas and its design are applicable to any undergraduate CS curriculum.
机译:我们提出了一种在整个本科CS课程中加入并行和分布计算(PDC)的模型。我们的课程旨在提前向同时介绍并行和分布的计算主题,并在各种CS课程的背景下反复将学生反复开放这些主题。我们方法的关键是开发所需的中间级课程,作为计算机系统的介绍和并行计算。它作为每个CS的主要要求和次要的,是给扩大并行和分布式计算在不同环境下的主题高级课程的先决条件。随着这一新课程的增加,我们能够轻松地在上级课程中腾出空间来添加和扩展并行和分布式计算主题。我们课程设计的目标是确保每种毕业的CS专业都有平行和分布的计算,既广泛和覆盖深度。我们的课程专为小型文学学院的限制而设计,然而,其大部分思路及其设计适用于任何本科CS课程。

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