University of Minnesota
FW4001, Biometry (4cr), Fall 2014, 2015. Covers the basic foundations of statistical methods, emphasizing simulation-based approaches to inference (randomization tests, bootstrapping). Descriptive statistics, one and two sample tests, linear and multiple regression. Computer lab uses the R programming language.
FW8051, Statistics for Ecologists (4cr), Spring 2015. Regression methods for modeling ecological data. Real world examples from ecology, as well as environmental/natural resource sciences/management. Computer-based solutions using R/Bayesian modeling software.
North Carolina State University
ST311, Introduction to statistics, Fall 1996. Examining relationships between two variables using graphical techniques, simple linear regression and correlation methods. Producing data using experiment design and sampling. Elementary probability and the basic notions of statistical inference including confidence interval estimation and tests of hypothesis. One and two sample t-tests, one-way analysis of variance, inference for count data and regression.
Short-courses and Workshops
Animal Movement Ecology, University of Zurich, 2013, 2015. Course explored a diverse range of topics related to animal movement and spatial ecology, including methods for exploring movement paths, estimating home ranges, and building habitat selection models. Course included both theoretical/conceptual lectures and practical sessions using the R programming language. Co-taught with several others.
Wildlife Applications of Bayesian Survival Analysis Using WinBugs, The Wildlife Society conference Oct. 2010. Most of the course material was developed by Dennis Heisey (I helped teach the workshop with Dennis, Christine Bunck, and Robin Russell). The goal of the workshop was to teach participants how the Bayesian software program WinBUGS couldbe used for flexible and powerful modelling and estimation of survival and other event rates. The workshop included both theoretical and applied components, with example analyses conducted using real data.