SYSEN 5420

SYSEN 5420

Course information provided by the 2025-2026 Catalog.

Network systems pervade our society in both social and technological contexts. On the one hand, social networks play a central role in the transmission of information and viruses with fundamental consequences for product marketing, technology adoption, voting decisions, spread of false news and epidemiology. On the other hand, network topology fundamentally affects the performance and resilience properties of large-scale multi-agent systems, such as the electric power grid, the internet of things, traffic or robotic sensor networks.The main objective of this course is to introduce fundamental mathematical tools to model and control the behavior of both social and engineered network systems. Questions of interest will be how the network structure impacts the dynamics of network systems, how network properties can be exploited to maximize system performance or resilience and how one can address these questions while accounting for strategic human behavior. The course will introduce tools that can be used to address these questions and overcome challenges related to the coupled, distributed, and large-scale nature of network systems.


Prerequisites MATH 2930, MATH 2940,ECE 2720, or permission of instructor.

Last 4 Terms Offered 2025SP, 2024SP, 2023SP, 2021FA

Outcomes

  • Understand how to mathematically describe network interactions.
  • Analyze linear and nonlinear dynamics over networks.
  • Understand and analyze strategic behavior over networks.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: ECE 4210ECE 5210ECE 7210

  • 3 Credits Graded

  •  5403 SYSEN 5420   LEC 001

    • MW
    • Jan 20 - May 5, 2026
    • Parise, F

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Graded

  •  5404 SYSEN 5420   LEC 002

    • Jan 20 - May 5, 2026
    • Parise, F

  • Instruction Mode: Distance Learning-Asynchronous

    Enrollment limited to: distance learning students.