Simulation and Modeling Chapters

Systems and environment; components; discrete & continuous systems; types of models; differential equations.

Analog computers; hybrid simulation; digital-analog simulators; discrete event simulation.

Queuing characteristics; models; notation; single & multiple server queues; measurement.

Markov processes; examples; applications.

Pseudo-random numbers; generation methods; uniformity & independence tests; random variates.

Model design, verification, validation, calibration, accreditation.

Confidence intervals; hypothesis testing; run statistics; bias elimination.

Simulation tools; GPSS; case studies; construction of simulation models.