This course is a statistical methods class combining hands-on applications and general review of the theory for survey weighting.  

Prerequisites:Some knowledge about sampling, i.e., students should know what a stratified samples is for example. Some experience with variance estimation (e.g., SURV742 Inference from Complex Surveys), Sampling theory, Applied sampling (e.g., SURV626 Sampling I, or SURV747 Practical Tools (Part I) for Sampling), statistical analysis using survey data, and the R statistical computing software will be helpful.