info:eu-repo/semantics/conferenceObject
Software Curriculum Transformation at the University Level
Fecha
2020Registro en:
Dorin, M., Chong, M. & Machuca, J. (2020). Software Curriculum Transformation at the University Level. In 2020 IEEE World Conference on Engineering Education (EDUNINE). doi:10.1109/EDUNINE48860.2020.9149562
2020 IEEE World Conference on Engineering Education (EDUNINE)
Autor
Dorin, Michael
Chong, Mario
Machuca de Pina, Juan Manuel
Institución
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.