Cybersecurity and Data Science Curriculum for Secondary Student Computing Programs

Richard Lawrence, Zhenhua He, Dhruva K. Chakravorty, Wesley Brashear, Honggao Liu, S. Nite, Lisa M. Perez, Chris P. Francis, Nikhil Dronamraju, Xin Yang, Taresh Guleria, Jeeeun Kim
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Abstract

Computing programs for secondary school students are rapidly becoming a staple at High Performance Computing (HPC) centers and Computer Science departments around the country. Developing curriculum that targets specific computing subfields with unmet needs remains a challenge. Here, we report on developments in the two week Summer Computing Academy (SCA) to focus on two such subfields. During the first week, ‘Computing for a Better Tomor-row: Data Sciences’, introduced students to real-life applications of big data processing. A variety of topics were covered, including genomics and bioinformatics, cloud computing, and machine learning. During the second week, ‘Camp Secure: Cybersecurity’, focused on issues related to principles of cybersecurity. Students were taught online safety, cryptography, and internet structure. The two weeks are unified by a common thread of Python programming. Modules from the SCA program may be implemented at other institutions with relative ease and promote cybertraining efforts nationwide.
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中学生计算机课程中的网络安全和数据科学课程
面向中学生的计算课程正迅速成为全国各地高性能计算(HPC)中心和计算机科学系的主要课程。针对尚未满足需求的特定计算子领域开发课程仍然是一项挑战。在此,我们报告了为期两周的夏季计算学院(SCA)的发展情况,重点关注两个这样的子领域。在第一周,"Computing for a Better Tomor-row:数据科学 "向学生们介绍了大数据处理在现实生活中的应用。涉及的主题多种多样,包括基因组学和生物信息学、云计算和机器学习。第二周是 "安全营":网络安全营 "侧重于与网络安全原则有关的问题。学生们学习了网络安全、密码学和互联网结构。Python 编程是这两周的共同主线。SCA 项目中的模块可在其他机构轻松实施,并促进全国的网络培训工作。
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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