Prerequisites: CS 105 or STAT 107 or CS 171; or consent of instructor
Description: Covers ethics specifically related to data science. Topics include data privacy; data curation and storage; discrimination and bias arising in the machine learning process; statistical topics such as generalization, causality, curse of dimensionality, and sampling bias; data communication; and strategies for conceptualizing, measuring, and mitigating problems in data-driven decision- making.
Cross-listing: Cross-listed with STAT 108.
Credit: Credit is awarded for one of the following CS 108, STAT 108, CS 212, or STAT 212.