| Call Number | 13921 |
|---|---|
| Day & Time Location |
MW 11:40am-12:55pm To be announced |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Bolun Xu |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Introduction parametric and non-parametric statistical models applied to climate and environmental data analysis. Time and space data analysis methods will be focused, including clustering, autoregressive models, trend analysis, Bayesian analysis, missing data imputation, geostatistics, principal components analysis. Application to problems of climate variation and change; hydrology; air, water and soil pollution dynamics; disease propagation; ecological change; and resource assessment. The class requires the use of R with hands-on programmings and a term project applied to a current environmental data analysis problem. |
| Web Site | Vergil |
| Department | Earth and Environmental Engineering |
| Enrollment | 36 students (90 max) as of 4:05PM Saturday, December 21, 2024 |
| Subject | Earth and Environmental Engineering |
| Number | E4257 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Section key | 20251EAEE4257E001 |