Analysis and Prediction of Complex Natural and Human Systems

Catalog description

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. Prerequisite(s): Undergraduate level EES 2550 Minimum Grade of D Course Level: Undergraduate Schedule Type(s): Lecture Grade Mode: Standard