# STAT 260: Nonparametric Statistics (Spring 2018-)

This course will introduce students to the basics of nonparametric function estimation. The emphasis will be on regression, although many of the ideas to be discussed apply to other areas (e.g., density estimation) as well. A mix of theory and applications will be presented. Students will also learn generalized additive models for data analysis using R software.

# STAT 310: Environmental Statistics (Fall 2015-)

This course is an introduction to statistical methods for environmental data, with a focus on applications. Learn, discuss and apply statistical methods to important problems in environmental sciences.
Topics include sampling, capture-recapture methods, regression, toxicology, risk analysis, time series,
spatial statistics, and environmental extremes.

# AMCS 210: Applied Statistics and Data Analysis (Spring 2015-2017)

For students outside AMCS wishing to obtain an introduction to statistical method. Provides fundamentals of probability and statistics for data analysis in research. Topics include data collection, exploratory data analysis, random variables, common discrete and continuous distributions, sampling distributions, estimation, confidence intervals, hypothesis tests, linear regression, analysis of variance, two-way tables, and data analysis using statistical software.