| Call Number | 15644 |
|---|---|
| Day, Time & Location | View Class Schedule & Location in Vergil |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Chia-Ying Lee |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | This course builds on the quantitative analysis tools developed in the core course Quantitative Methods of Climate Applications and the certificate core course Computing and Research Methods for Climate Data. It focuses on advanced methods in hypothesis testing, regression models, time series and spectral analysis, geospatial analysis, significance testing, uncertainty quantification, modeling for assessing climate risk, and decision theory. Through in-class practice and course assignments using Python programming, students will apply these methods to understand climate signals, conduct risk assessments, and evaluate the value of climate information in decision-making. |
| Department | Climate School |
| Enrollment | 0 students (40 max) as of 9:06PM Wednesday, May 20, 2026 |
| Subject | CLIMATE SCHOOL |
| Number | G5060 |
| Section | 001 |
| Division | Interfaculty |
| Section key | 20263CLMT5060G001 |