EES 6430 - Analysis and Prediction of Complex Natural and Human Systems

Credit Hour(s): 3

Course Description: Explores quantitative analysis and probabilistic forecasting of the behavior of complex nonlinear natural and human systems. Methods of analysis include fractals to quantify spatial, size, and temporal scaling and chaos to study sensitivity to initial conditions and feedback. Modeling includes self-organization and cellular automata. Systems studied include seismology, chemistry, biochemistry, hydrology, medicine, geography, and coupled human and natural systems.

Enrollment Restrictions: Must be enrolled in one of the following levels: Graduate, Medical, Professional.

Course Level: Graduate
Schedule Type(s): Lecture

Grade Mode: Standard