EOS 322. Hydrologic and Environmental Data Analysis – Nicholas School Undergraduate Programs

EOS 322. Hydrologic and Environmental Data Analysis

EOS-322-300x300NS, QS Focus on acquisition of skills necessary to extract information from observations of hydrological and environmental processes, connect extracted information with physical processes, and estimate physical quantities at ungauged locations/times. Understanding of processes via data analysis techniques.  Applications used to understand general concepts, with examples drawn from water science. Prerequisites: Basic computer skills, Calculus (Math 111L or equivalent) required. Experience with computational software (e.g. Matlab or R) helpful but not required. Instructor consent required. Instructor: Marani. One course.