EES 4430 - Analysis and Prediction of Complex Natural and Human Systems


Credit Hour(s): 3
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
Level: Undergraduate
Schedule Type(s): Lecture

This course information is from the 2023-2024 Academic Catalog. View this catalog.
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