Software Curriculum Transformation at the University Level

Michael Dorin, Mario Chong, Juan Machuca

Research output: Chapter in Book/Report/Conference proceedingPaper (Conference contribution)peer-review

Abstract

Many software-related degrees exist, and a diversity of programs makes it difficult for candidates to choose where they wish to study. Selecting the wrong program costs students time, money, and considerable effort. Though several institutions have created curriculum guidelines for data science related programs, an overall consensus on program content does not exist at either the undergraduate or graduate levels. This paper examines the most common course requirements, such as data mining, machine learning, mathematics, software engineering, data analysis, and data visualization. We then compare the requirement analysis against the specifics of data science related programs offered at the Universidad de Lima, the Universidad Pacifico, and the University of St. Thomas. The results show that all three universities have active programs worth consideration and give students a model of what to look for when selecting their programs.

Original languageEnglish
Title of host publicationEDUNINE 2020 - 4th IEEE World Engineering Education Conference
Subtitle of host publicationThe Challenges of Education in Engineering, Computing and Technology without Exclusions: Innovation in the Era of the Industrial Revolution 4.0, Proceedings
EditorsClaudio da Rocha da Rocha Brito, Melary M. Ciampi
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728166384
DOIs
StatePublished - Mar 2020
Externally publishedYes
Event4th IEEE World Engineering Education Conference, EDUNINE 2020 - Bogota, Colombia
Duration: 15 Mar 202018 Mar 2020

Publication series

NameEDUNINE 2020 - 4th IEEE World Engineering Education Conference: The Challenges of Education in Engineering, Computing and Technology without Exclusions: Innovation in the Era of the Industrial Revolution 4.0, Proceedings

Conference

Conference4th IEEE World Engineering Education Conference, EDUNINE 2020
Country/TerritoryColombia
CityBogota
Period15/03/2018/03/20

Keywords

  • adult education
  • career changes
  • Data science
  • information engineering

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