ECE 7260

ECE 7260

Course information provided by the 2025-2026 Catalog.

Complex networks are often the source of high-dimensional data. The goal of this course is to introduce structural and computational models for data that are indexed by the irregular support of a graph. The graph represents the network that couples the dynamics of many agents, or it can be a more abstract Bayesian graphical model that explains how observations are conditionally dependent. The interest in these models spans many fields.


Last 1 Terms Offered 2026SP

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Syllabi: none
  •   Regular Academic Session.  Combined with: ECE 5260ORIE 5735

  • 3 Credits Stdnt Opt

  • 18677 ECE 7260   LEC 030

  • Instruction Mode: In Person

    Enrollment limited to: Cornell Tech Doctor of Philosophy (PhD) students.