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PHYS 5116 - Network Science 1 |
Introduces network science and the set of analytical, numerical, and modeling tools used to understand complex networks emerging in nature and technology. Focuses on the empirical study of real networks, with examples coming from biology (metabolic, protein interaction networks), computer science (World Wide Web, Internet), or social systems (e-mail, friendship networks). Shows the organizing principles that govern the emergence of networks and the set of tools necessary to characterize and model them. Covers elements of graph theory, statistical physics, biology, and social science as they pertain to the understanding of complex systems.
4.000 Credit hours 4.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Lecture Physics Department Course Attributes: GS College of Science, NUpath Natural/Designed World, Crosslisted Course Restrictions: Must be enrolled in one of the following Levels: Undergraduate Graduate Must be enrolled in one of the following Classifications: Senior Graduate Prerequisites: Undergraduate level PHYS 2303 Minimum Grade of D- or Graduate Admission REQ |
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