DATA 4300 - Ethics for Data Science

Credits: 3 Class: 3 Lab: 0
Prerequisite(s): Grade of C or better in DATA 3401, or department approval.
This course will introduce the student to many of the ethical issues faced by data professionals throughout the data science pipeline. Students will develop an understanding of current ethical challenges that have emerged in the profession. Topics include: bias in machine-learning algorithms and Artifical Intelligence; invasions of privacy with data collection; unintentional discrimination from data analysis; and lack of accountability with ‘black-box’ algorithms. Using philosophical ethics as a guide, the students will learn to think critically, creatively and conscientiously about how data-driven tools should be used.