3.00 Credits
Introduces simulation and comparison with other techniques. Studies discrete simulation models, and introduction to, or review of, queuing theory and stochastic processes. Compares discrete change simulation languages. Examines simulation methodology including generation of random numbers and variates, design of simulation experiments for optimization, analysis of data generated by simulation models and results. Selected applications of simulation. Dual listed with COSC 4350. Prerequisite: COSC 3020, MATH 4250 or STAT 2010. Additional work is assigned for those enrolled for graduate credit.