Probabilistic and statistical techniques for analysis of signal and system behavior. Review of probability, random variable, and random processes. Parametric sensitivity analysis. Response of linear system to stochastic inputs. Advanced Simulation Design.
Course stresses practical formulation of simulation design fundamentals.
Projects involve complex problems. A graduate level treatment of analysis and modeling of computer data communication systems. Additional topics include information codes, error correction, reliability, data compression and queuing theory. Distributed Computer Simulation. Course focuses on different simulation models and their applications with emphasis on industrial techniques.