STAT 108: DATA SCIENCE ETHICS
University of California, Riverside
4 Units, Lecture, 3 hours; discussion, 1 hour. Prerequisite(s): CS 105 or STAT 107 or CS 171; or consent of instructor. 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-listed with CS 108. Credit is awarded for one of the following CS 108, STAT 108, CS 212, or STAT 212.
Average GPA: 3.70
Grade distribution records: 172 students across 6 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 7 | 4.1% |
| A | 102 | 59.3% |
| A- | 19 | 11.0% |
| B+ | 19 | 11.0% |
| B | 11 | 6.4% |
| B- | 6 | 3.5% |
| C+ | 2 | 1.2% |
| D | 2 | 1.2% |
| F | 1 | 0.6% |
| W | 3 | 1.7% |
Based on 172 student grade records across 6 terms and 2 professors.
Instructors
- Analisa Flores 33 students, Average GPA 3.52
- Mariam Salloum 14 students, Average GPA 3.75