Focuses on quantitative methods and skills for coastal climate resilience, using data science, statistics, data visualization and geospatial analysis. Prepares students through hands-on work and real-world case studies. The course uses lectures, python notebooks and examples of coastal hazard risks and data analysis and representation. No previous programming or geospatial modeling experience is necessary.
1 term
Other grades
University of California, Santa Cruz
CSP 182 at UCSC: average GPA 3.50 across 12 students. Grade distribution by term. Focuses on quantitative methods and skills for coastal climate resilience…
Average GPA: 3.50
Grade distribution records: 12 students across 1 terms.
| Grade | Students | Percent |
|---|---|---|
| A+ | 1 | 8.3% |
| A- | 4 | 33.3% |
| B | 1 | 8.3% |
| B- | 1 | 8.3% |
| P | 3 | 25.0% |
| NP | 1 | 8.3% |
| W | 1 | 8.3% |
Based on 12 student grade records across 1 term and 1 professor.
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