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.
4 terms
Other grades
University of California, Santa Cruz
CSE 146 at UCSC: average GPA 3.69 across 269 students. Grade distribution by term. Provides an introduction to data-driven and algorithmic decision making, and…
Average GPA: 3.69
Grade distribution records: 269 students across 4 terms.
| 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.
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