ESCI 160: Data Analysis Envs
University of California, Santa Cruz
Introduces data-analysis methods regularly encountered within environmental sciences. Students learn how to think about data, its uncertainty, how models and data are related and depend on underlying assumptions, and how to synthesize information contained in data.
Average GPA: 3.50
Grade distribution records: 367 students across 7 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 42 | 11.4% |
| A | 101 | 27.5% |
| A- | 65 | 17.7% |
| B+ | 56 | 15.3% |
| B | 48 | 13.1% |
| B- | 23 | 6.3% |
| C+ | 14 | 3.8% |
| C | 5 | 1.4% |
| C- | 1 | 0.3% |
| D | 1 | 0.3% |
| F | 1 | 0.3% |
| P | 2 | 0.5% |
| NP | 1 | 0.3% |
| S | 2 | 0.5% |
| W | 4 | 1.1% |
Based on 367 student grade records across 7 terms and 2 professors.
Instructors
- Claudie Beaulieu 310 students, Average GPA 3.52
- Christopher A Edwards 57 students, Average GPA 3.34