ECE 7260

Last Updated

  • Schedule of Classes - September 22, 2025 1:06PM EDT

ECE 7260
Graph-based Data Science for Networked Systems

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 4 Terms Offered 2025SP

Outcomes

  • Students will learn to analyze graph data as networks and understand their structural features.
  • Students will learn models of network dynamics that occur in science and engineering that utilize the algebra of networks.
  • Students will learn techniques to analyze data that result from network dynamics in Graph Signal Processing.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Combined with: ECE 5260, ORIE 5735

  • 3 Credits Graded

  •  9569 ECE 7260   LEC 030

  •  
    • MW
    • Jan 20 - May 5, 2026

    • Scaglione, A

  • Instruction Mode: In Person

    Taught in NYC. This class co-meets with ECE 5260/ORIE 5735 Enrollment limited to Cornell Tech PhD Students only for this section.