This course approaches statistical sampling from a probability-based treatment of sampling methodology. Theory and application of estimation techniques are treated using simple and stratified random sampling, cluster sampling, and systematic sampling. It will build on your current knowledge of probability and statistics. The intent is to cover the prescribed text omitting those sections that are unneeded with additional information given in the form of handouts and take home projects. Although there will be no requirement of a specific statistical computing package, it would be in your best interest to be familiar with a package. Examples shown in class will be done using MatLab and SAS. Notes are available for students wishing to use SAS.