An integrated treatment of applied stochastic processes and queueing theory, with an emphasis on time-averages and long-run behavior. Theory demonstrates practical effects, such as priorities, pooling of queues, and bottlenecks. Appropriate for Sr/Grad courses in queueing theory in Operations Research, Computer Science, Statistics, or IE departments.