ESCI 167: App Enviro Time Series
University of California, Santa Cruz
Explores empirical approach to quantify and explain changes in the Earth system over time. With the complexity of the Earth system, and the challenge of making accurate and numerous observations, simple methods can be of limited usefulness. Course covers more advanced methods that are typically not included in introductory-level statistical courses. Students learn how to analyze time-series data and answer questions about the Earth system and acquire the theoretical basis of the statistical approaches, the experience at conducting analyses, and practice interpreting and discussing the results. This class is hands-on and utilizes a suite of observational datasets and outputs from Earth system models. Students cannot receive credit for this course and OCEA 267.
Average GPA: 3.37
Grade distribution records: 35 students across 2 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 5 | 14.3% |
| A | 6 | 17.1% |
| A- | 8 | 22.9% |
| B+ | 6 | 17.1% |
| B | 4 | 11.4% |
| B- | 1 | 2.9% |
| C+ | 2 | 5.7% |
| C | 1 | 2.9% |
| F | 1 | 2.9% |
| P | 1 | 2.9% |
Based on 35 student grade records across 2 terms and 1 professor.
Instructors
- Claudie Beaulieu 35 students, Average GPA 3.37