Questions will cover material from core requirements, but responses should reflect an integrated approach. Not to be taken in conjunction with any transfer semester credits. The stochastic nature of complex systems makes them frequently too difficult to solve with traditional analytical methods. This class in systems simulation teaches how to describe, represent, validate, and experiment with models of various types. This course introduces the student to the Theory of Constraints.
Students learn the formal analysis techniques that find the limiting factor in any system.
Students learn to clearly identify the goal and necessary conditions that must be met to achieve success in the system. Students learn to think logically and formulate cause and effect relationships that define the system. They learn to differentiate between the many annoying problems that exist the system to find the core problem or root cause of the many negative effects. Students learn how to find breakthrough injections that open the way for solutions that eliminate the conflict that has always prevented the core problem from being solved. They also learn how to break down the obstacles that prevent near impossible tasks and how to cause change to occur within the system.