Computing competencies for undergraduate data science curricula

Abstract

In 2009, Turing award winner Jim Gray spoke of data science as a fourth paradigm of science (empirical, theoretical, computational and data-driven) arising from and capitalizing on the huge amount of data that is now available for investigation. The confluence of the availability of data and increasing sophisticated tools, processes, and algorithms for analysing and drawing knowledge and insight from data has impacted every area of scientific engagement. It has also opened up exciting new opportunities for interdisciplinary work across the many fields including (but certainly not limited to) computer science, mathematics, statistics, and information science from which it draws foundational knowledge.

Topics & Concepts