- Data Analysis, Modeling, and Scientific Programming: Earth and Environmental Sciences

Catalog description

An introduction to data analysis methods, modeling, and scientific programming using examples from climatology, geology, environmental science, and oceanography. Topics include descriptive statistics; sampling theory; least-squares fitting; timeseries analysis; data interpolation and contouring; modeling methods; and data visualization techniques. Students will write original computer scripts to manipulate data sets, model Earth and environmental processes, and solve quantitative problems. This course is appropriate for students pursuing computer programming skills for the earth and environmental sciences.