Adv Topics in Network Science

SSIE-641-20

Binghamton University

  • Semester
    Fall 2024
  • Instructor
    Sadamori Kojaku
  • Start Date
    08-21-2024
  • Total Credits
    3
  • Call to Register
    607-777-6088

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You will learn the same curriculum as our on-campus students

This course provides concepts, models, methods and tools developed in the rapidly advancing field of Network Science. Instructions will be largely based on primary literature published recently. Topics to be discussed will include: Complex network topologies, methods for network analysis, visualization and simulation, models of dynamical/adaptive networks, techniques for mathematical analysis, network stability and robustness, and applications to social, biological and engineering systems. Prerequisites: SSIE 523 or permission of the instructor. Students taking this course should have solid knowledge of linear algebra, probability and statistics, and differential equations. Term offered varies. 3 credits.
Prerequisites: Prerequisites: SSIE 523 or permission of the instructor. Students taking this course should have solid knowledge of linear algebra, probability and statistics, and differential equations.
Course Area: Engineering
Level: Graduate
Dates: 08-21-2024 - 12-06-2024
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Instructor: Sadamori Kojaku
Local Course ID: 24FA_BIN_SSIE641_20
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