A resource for data science courses
Shannon Vallor
This introductory ethics module for data science courses includes a reading, homework assignments, and case studies, all designed to spark a conversation about ethical issues that students will face in their role as data practitioners. No training in ethical theory, applied ethics, or philosophy is required for either the instructor or the students as they tackle these materials.
The module can be used in part or in whole: suggestions for classroom use are included in the “Notes for Instructors."
These materials are provided at no cost (with written permission for class use) by the Markkula Center for Applied Ethics at Santa Clara University.
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Jan 23, 2018
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