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
{"title":"Cybersecurity and Data Science Curriculum for Secondary Student Computing Programs","authors":"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","doi":"10.22369/issn.2153-4136/14/2/2","DOIUrl":null,"url":null,"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.","PeriodicalId":330804,"journal":{"name":"The Journal of Computational Science Education","volume":"7 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Computational Science Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22369/issn.2153-4136/14/2/2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.
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。