STAT 212: DATA SCIENCE ETHICS

University of California, Riverside

4 Units, Lecture, 3 hours; discussion, 1 hour. Prerequisite(s): CS 252A or EE 251A or CS 235 or CS 224 or STAT 207 or STAT 208; graduate standing. Covers ethics specifically related to data science. Includes 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. May be taken Satisfactory (S) or No Credit (NC) with consent of instructor and graduate advisor. Cross-listed with CS 212. Credit is awarded for one of the following CS 212, STAT 212, CS 108, or STAT 108.