— Network Theory & Applications
Develops the mathematical theory underlying growth, structure and function of networks with applications to physical, social, biological and engineered systems. Topics include network growth, resilience, epidemiology, phase transitions, software and algorithms, routing and search control, cascading failures.
Topics
- network growth
- resilience
- epidemiology
- phase transitions
- software and algorithms
- routing and search control
- cascading failures
Topics explicitly listed in official catalogue description
Prerequisites & course information
Course Description: Develops the mathematical theory underlying growth, structure and function of networks with applications to physical, social, biological and engineered systems. Topics include network growth, resilience, epidemiology, phase transitions, software and algorithms, routing and search control, cascading failures. Learning Activities: Lecture/Discussion 4 hour(s). Cross Listing: MAE 253 . Grade Mode: Letter. Learning Activities: Lecture/Discussion 4 hour(s). Cross Listing: MAE 253 . Grade Mode: Letter.
Sources
- Course catalogue ↗2026-2027