At the end of the course the students will

1.1. understand how random number generators work, what conditions they should satisfy to generate statistically acceptable random numbers, and how to test them.

1.2. learn how to select continuous and discrete input probability distributions by using statistical methods and tools.

1.3. learn how to generate continuous and discrete random variates from input probability distributions, given a random number generator.

2.1. understand simulation output analysis requirements and apply statistical output analysis methods for terminating and steady-state simulations.

2.2. learn simulation specific statistical methods for comparing and selecting system alternatives.

2.3. understand the experimental design issues associated with simulation and the simulation optimization concepts.