EARS 17 Analysis of Environmental Data

Topics such as acid deposition, air and water pollution, water quality, acid mine drainage and climate change are used to introduce the fundamentals of environmental data analysis. Basic subjects include descriptive statistics, uncertainty, error propagation, hypothesis testing, regression, and experimental design. Advanced methods for spatial and time series data analysis are briefly introduced.

Instructor

Morlighem

Prerequisite

One course in Earth Sciences and MATH 3 or permission of instructors.

Degree Requirement Attributes

Dist:QDS

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Offered

• Winter