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
Take your class online with SUNY
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
- Books & Supplies
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