Provides broad yet rigorous foundations and applications of dynamic modeling. Emphasizes methodologies used across various disciplines. Topics include modeling and analysis of time-driven and event-driven, linear and nonlinear systems. The applications are presented with real-world example systems. Methodologies address dynamic systems using the concepts of composition, abstraction, execution, and performance. The issues of stochastic modeling and decision analysis are also covered. Offered by Systems Engr & Operations Rsch. May not be repeated for credit.
George Mason University
Systems Engineering, Operations Research and Engineering Management
Zaidi, Syed Abbas (email@example.com)
Times and Days
SYST 500 or equivalent.