Data Science Summer Academy for Chicago Public School Students
作者: Bamshad MobasherLucia DettoriDaniela RaicuRaffaella SettimiNasim SonboliMonica Stettler
刊名: ACM SIGKDD Explorations Newsletter, 2019, Vol.21 (1), pp.49-52
来源数据库: Association for Computing Machinery Journal
DOI: 10.1145/3331651.3331661
关键词: ChicagoData sciencePublic schools.Summer academy
原始语种摘要: In this article, we describe DePaul University's summer data science academy for Chicago Public School students which was, in part, funded through the SIGKDD Impact Award program in 2018. The goal of the academy was to increase awareness about data science among high school students. The program specifically aimed to broaden participation of underrepresented groups in computing by targeting economically disadvantaged, African American, Hispanic, and female students. A cohort of 15 high school students from the Chicago Public School system participated in this week-long lab-based data science program learning about a variety of data science methods and their applications, including data visualization, distance-based methods, classification, clustering and others. The group comprised of 75%...
全文获取路径: ACM  (合作)

  • academy 研究院
  • school 学校
  • economically 经济地
  • Data 数据
  • participation 参与
  • African 非洲的
  • science 科学
  • program 程序
  • disadvantaged 生活条件差
  • clustering 聚类