University of Delaware 3 credits MAST
Understanding the data that comes from complex systems, from ecosystems to economies, requires new techniques and deeper understanding of complex processes. Topics include system dynamics, chaos, fat-tailed uncertainty, fractals, criticality, and emergence. To analyze these properties, we introduce multiple statistical methods, from basic analysis of multidimensional, spatial, and time-varying data, to advanced techniques like nonlinear model fitting, wavelets, maximum entropy, and network analysis. The class draws on examples from a wide range of real-world systems. Prerequisite: STAT 200 or MATH 205 or ENSC 475 or MAST 488 .
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