Course Detail
Units:
3.0
Course Components:
Laboratory
Enrollment Information
Enrollment Requirement:
Corequisites: ATMOS 5000.
Requirement Designation:
Quantitative Intensive BS
Description
Environmental fields are overwhelmed with information, but methods are available to help acquire, analyze, visualize, and interpret the associated time series and multidimensional fields. To accomplish these tasks, applications of computer programming and statistics relevant to environmental fields are introduced. The Python programming language using the Linux programming environment is emphasized. Statistical methods include time series analysis, multivariate data analysis of two-dimensional fields, forecast verification, and hypothesis testing.