CEE 6610 A (CRN: 15991)
Civil & Environmental Engr: Data Analytics Water Resources (A)
3 credit hours
About CEE 6610 A
Understanding and application of computational tools to the analysis of water resources data including: 1) autocorrelation or semivariograms to examine data structure; 2) kriging methods for data interpolation; 3) clustering and classification techniques for data exploration; and 4) Bayesian analyses to quantify uncertainty. Data analysis techniques are presented as a systems approach to site characterization, monitoring, remediation or restoration applications in groundwater or surface water settings recognized as components of the complex Earth system. Prerequisites: Content knowledge of statistics assumed; Graduate student.
Notes
Open to degree and PACE students
Syllabus Unavailable
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