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NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information. | |
Spring 2021 Earth and Environmental Engineering E4257 section 001 ENVIR DATA ANALYSIS & MODELING ENVIR DATA ANALYSIS & MOD | |
| Call Number | 11296 |
| Day & Time Location |
MW 11:40am-12:55pm 1024 Seeley W. Mudd Building |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Bolun Xu |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Prerequisites: (IEOR 4150) or (IEOR3658) or (STAT GU4001) or a first course in probability or similar; some exposure to linear algebra; basic programming experiences. 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 | 31 students (50 max) as of 8:02AM Sunday, February 28, 2021 |
| Subject | Earth and Environmental Engineering |
| Number | E4257 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Campus | Morningside |
| Section key | 20211EAEE4257E001 |
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