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Graduate Record 2023-2024 [ARCHIVED RECORD]
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CE 6280 - Stochastic Hydrology Effective Start Date: 08/01/2023 The goal of this course is to illustrate the importance of uncertainty analysis in hydrology. Topics include extreme value theory applied to floods & droughts, regionalization methods for predictions in ungauged basins, & trend analysis of historical time series. Students should leave the course with an understanding of how to apply these methods in practice to design civil infrastructure systems that are robust to hydrologic uncertainty. Prerequisite: APMA 3100 and CE 3220 or Equivalent
Credits: 3 Grading Basis: Graded
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