ECE 7260

Last Updated

  • Schedule of Classes - July 2, 2025 11:52AM EDT
  • Course Catalog - March 17, 2025 8:31AM EDT

ECE 7260
Graph-based Data Science for Networked Systems

Course information provided by the 2024-2025 Catalog. Courses of Study 2024-2025 is scheduled to publish mid-June.

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.

When Offered Spring.

Comments The main background requirements are linear algebra and knowledge of probability theory. Knowledge of basic time-series/digital signals analysis is useful but not necessary.

View Enrollment Information

Syllabi: none

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

  • 3 Credits Graded

  • 20522 ECE 7260   LEC 030

  •  
    • MW
    • Jan 21 - May 6, 2025

    • 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.