This course is an integral part of the Systems Engineering major and emphasizes the understanding of concepts underlying many of the models used by systems engineers. Continuing from the modeling process introduced in previous courses, SE388 introduces cadets to stochastic models that describe how system behavior evolves/changes over time. It emphasizes models of random events that occur in real world examples. The topics covered include Markov Chains, Poisson Processes, birth and death processes, counting processes, queuing systems, and simulation. Applications include telecommunication systems, combat systems, and industrial production and distribution systems. This course also helps to enhance the cadetsý understanding of probabilistic aspects of systems by augmenting the content taught in SE375 and MA206. This course prepares SE/OR majors for the modeling required in follow-on courses, including SE481, SE485 and SE402/403. Cadets will spend two to six lessons in a computer lab environment.
