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May 14, 2024
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ES 289: Network Science
Units: 4
Introduces mathematical and computational formalism for representing, modeling, and visualizing networks; fundamental stochastic models that give rise to different classes of networks (e.g. Erdos-Renyi, small-world, power-law); examples and emergent network-mediated phenomena occurring in a wide array of natural and socio-technological systems; efficient data structures for analyzing and visualizing large networks.
Course Details
Repeats Allowed for Credit: 0
Crosslisted with: MIST 271
Laboratory included
Normal Letter Grade only
Requisites and Restrictions
Instructor Permission Required: No
Basic scripting language experience (e.g. in Mathematica, Python, or R); Students who do not have this background may want to take MIST 272 first; or students may enroll with permission of the instructor. Students who are unsure of their preparation level should contact the instructor prior to enrollment to clarify the presumed statistical/computational/mathematical skillset.
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