| Prerequisites: (STA 4321 or STA 2023) and (COP 3530 or COP 3540). For beginning graduate students. Model building; queuing models; design of experiments; simulation techniques; utilization of probability density functions; pseudo-random number generation; simulation tools such as GPSS, SIMSCRIPT, and SLAM; interpretation of results; simulation animation; continuous simulation. Students will extend course topics via library assignments or other instructor-assigned requirements. |
