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Activity Number: 210
Type: Invited
Date/Time: Monday, August 5, 2013 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Education
Abstract - #310483
Title: Introducing Science Students to Big Data
Author(s): Randall Pruim*+ and Daniel Theodore Kaplan and Elizabeth Shoop
Companies: Calvin College and Macalester College and Macalester College
Keywords: big data ; education ; science

Many science faculty agree strongly that their students would do well to develop strong skills with big data. Among the obstacles to achieving this goal: a lack of experience with big data, insufficient computation skills among science faculty, and student schedules that are already full. A number of liberal arts colleges have formed a Computation and Visualization Consortium funded by several HHMI grants to work over the next four years at faculty development and curriculum development to address these issues. We'll report on our first CVC faculty workshop and on initial efforts at the member institutions as we seek to answer important questions, including Can we convey useful skills that can be deployed in compelling science settings given curricular constraints? Can we find a way to teach Big Data as an intellectually coherent theme rather than a menu of procedures and techniques? How can statisticians and computer scientists work together with colleagues in the sciences to ensure that data science is infused throughout the science curriculum?

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