CSE 146: Ethics & Algorithms
University of California, Santa Cruz
Provides an introduction to data-driven and algorithmic decision making, and ethical frameworks for evaluating automated systems. Emphasis on algorithmic literacy, critical analysis, and fundamental limitations of automated decision making. Covers concepts including predictive and causal modeling. Discusses bias, fairness, interpretability, privacy, and accountability. Finally, discusses notions of autonomy and algorithmic auditing.
Average GPA: 3.69
Grade distribution records: 269 students across 4 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 32 | 11.9% |
| A | 129 | 48.0% |
| A- | 38 | 14.1% |
| B+ | 14 | 5.2% |
| B | 32 | 11.9% |
| B- | 7 | 2.6% |
| C+ | 2 | 0.7% |
| C | 4 | 1.5% |
| D | 2 | 0.7% |
| P | 2 | 0.7% |
| S | 1 | 0.4% |
| W | 6 | 2.2% |
Based on 269 student grade records across 4 terms and 2 professors.
Instructors
- Lise Getoor 188 students, Average GPA 3.63
- Yang Liu 81 students, Average GPA 3.84