It remains very difficult to find books appropriate for teaching Bayesian methods to science graduate students. This book aims to fill that gap by introducing applied Bayesian methods via the JAGS software. It takes an example-based approach, using real scientific data, to illustrate how the methods work and can be applied. JAGS code is integrated throughout to help the reader make sense of the methods via their application. It could be used as a supplement for a course on Bayesian methods in any department.