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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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SIS update 02/28/21 08:02    web update 02/28/21 09:35