Interleaving Computational and Inferential Thinking in an Undergraduate Data Science Curriculum

Autor: John DeNero, Ani Adhikari, Michael I. Jordan
Rok vydání: 2021
Předmět:
Zdroj: Harvard Data Science Review.
DOI: 10.1162/99608f92.cb0fa8d2
Popis: The undergraduate data science curriculum at the University of California, Berkeley is anchored in five new courses that emphasize computational thinking, inferential thinking, and the perspective gained by working on real-world problems. We believe that interleaving these elements within our core courses is essential to preparing students to engage in data-driven inquiry at the scale that contemporary scientific and industrial applications demand. This new curriculum is already reshaping the undergraduate experience at Berkeley, where these courses have become some of the most popular on campus and have led to a surging interest in a new undergraduate major and minor program in data science.
Databáze: OpenAIRE