Software Curriculum Transformation at the University Level

Michael Dorin, Mario Chong, Juan Machuca

Producción científica: Capítulo del libro/informe/acta de congresoArticulo (Contribución a conferencia)revisión exhaustiva

1 Cita (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaEDUNINE 2020 - 4th IEEE World Engineering Education Conference
Subtítulo de la publicación alojadaThe Challenges of Education in Engineering, Computing and Technology without Exclusions: Innovation in the Era of the Industrial Revolution 4.0, Proceedings
EditoresClaudio da Rocha da Rocha Brito, Melary M. Ciampi
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781728166384
DOI
EstadoPublicada - mar. 2020
Publicado de forma externa
Evento4th IEEE World Engineering Education Conference, EDUNINE 2020 - Bogota, Colombia
Duración: 15 mar. 202018 mar. 2020

Serie de la publicación

NombreEDUNINE 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

Conferencia

Conferencia4th IEEE World Engineering Education Conference, EDUNINE 2020
País/TerritorioColombia
CiudadBogota
Período15/03/2018/03/20

COAR

  • Artículo de conferencia

Categoría OCDE

  • Ingeniería industrial

Temas Repositorio Ulima

  • Adaptaciones curriculares
  • Ciencia de datos
  • Curriculum enrichment
  • Data science
  • Educación superior
  • Higher education
  • Programas de estudio
  • Study programs

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