Introduction of basic system concepts such as system state, inputs, outputs and disturbances. Modeling methods and Computer Aided Systems Engineering (CASE) formal structures. CASE tools for solving practical systems related problems. Quantitative techniques including linear programming, network flow analysis, integer and nonlinear programming, Petri nets, basic probabilistic and stochastic tools, Markov processes, queueing theory and Monte Carlo techniques for simulation. Fundamentals of decision and risk analysis.
Prerequisite(s): EL 5213. Corequisite(s): EL 6303 recommended.