Developing a Holistic Understanding of Systems and Algorithms through Research Papers

Ali Erkan, J. Barr, T. Clear, C. Izu, C. L. D. Alamo, Hanan Mohammed, Mahadev Nadimpalli
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引用次数: 2

Abstract

Even though a computer science or computing-oriented degree is unavoidably broken into semesters and courses, we always hope that our students form a holistic picture of the discipline by the time they graduate. Yet we do not have too many opportunities to make this point in a convincing manner. The goal of this working group will be to address a well-defined portion of this problem: revealing the significant connections between algorithmic courses (such as Discrete Math, Data Structures, Algorithms) and systems oriented courses (such as Organization, Computer Networks, Operating Systems, and Hardware) that may be missed by students. In particular, we will explore how research papers can be used as the glue for this purpose. The objectives of this working group are to identify crucial systems topics, locate papers of the appropriate nature, and categorize algorithmic concepts necessary to master the papers. Most importantly, we will create a framework to design combined systems/algorithm courses that hinge on the selected papers. Consequently, instead of using papers in the conventional manner to expose students to research, we will focus on how papers can be used to express the holistic structure of a conventional computer science or computing-oriented degree.
通过研究论文发展对系统和算法的整体理解
尽管计算机科学或以计算机为导向的学位不可避免地被分成学期和课程,但我们总是希望我们的学生在毕业时对该学科有一个整体的了解。然而,我们没有太多机会以令人信服的方式说明这一点。这个工作组的目标是解决这个问题的一个明确定义的部分:揭示算法课程(如离散数学、数据结构、算法)和面向系统的课程(如组织、计算机网络、操作系统和硬件)之间可能被学生错过的重要联系。特别是,我们将探讨如何将研究论文用作这一目的的粘合剂。该工作组的目标是确定关键的系统主题,找到适当性质的论文,并对掌握论文所需的算法概念进行分类。最重要的是,我们将创建一个框架来设计结合系统/算法课程,这取决于所选的论文。因此,我们将不再以传统的方式使用论文来让学生接触研究,而是将重点放在如何使用论文来表达传统计算机科学或计算导向学位的整体结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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