CLIMATE CHANGE STATISTICS IN R

Undergraduate

The R language is widely used among climatologists for data analysis and provides a wide variety of statistical and graphical techniques, and is highly extensible. This course will provide an introduction to computer programming in R and how to use R for effective climate data analysis, such as linear regression, logistic regression, classification and clustering, trend detection, extreme value fitting, return period analysis, etc. PREREQUISITE: MATH 1910 or MATH 1120, CS 1910 and STAT 1910 Three hours lecture, three hours laboratory; Three semester hours