ES 207: Environmental Data Analysis
The objective of this class is to provide students with probabilistic and statistical methods to analyze environmental data. This class emphasizes both theoretical and applied aspects of data analysis methods. Weekly lab exercises are from environmental applications. Topics include: distribution, hypothesis test, linear regression, multiple regression, uncertainty analysis, outlier detection, sample design, and spatial and temporal data analysis.
Repeatable for Credit: No
Normal Letter Grade only
Requisites and Restrictions
Instructor Permission Required: No
Fall 2019 course scheduling information
[Add to My Catalog]