A hands-on course in climate modeling with emphasis on computer programming (Python) exercises. Topics include the physical laws governing climate, the hierarchy of model complexity, parameterizations, using models for prediction versus understanding, and application to past and future Earth climates.
6 terms
Other grades
University of California, Santa Cruz
EART 124 at UCSC: average GPA 3.35 across 88 students. Grade distribution by term. A hands-on course in climate modeling with emphasis on computer programming…
Average GPA: 3.35
Grade distribution records: 88 students across 6 terms.
| Grade | Students | Percent |
|---|---|---|
| A+ | 9 | 10.2% |
| A | 20 | 22.7% |
| A- | 9 | 10.2% |
| B+ | 6 | 6.8% |
| B | 9 | 10.2% |
| B- | 6 | 6.8% |
| C+ | 2 | 2.3% |
| C | 5 | 5.7% |
| D | 1 | 1.1% |
| F | 1 | 1.1% |
| P | 10 | 11.4% |
| NP | 1 | 1.1% |
| S | 3 | 3.4% |
| W | 6 | 6.8% |
Based on 88 student grade records across 6 terms and 1 professor.
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