New Course: PHYS 250 Computational Dynamics of Complex Systems: Phase Transitions
Announcing PHYS 250 Computational Dynamics of Complex Systems: Phase Transitions
The effects of nonlinearity and complexity represent the most critical constraint on systems throughout all areas of science and engineering, including neural networks, earthquakes, driven foams, magnetic de-pinning transitions in superconductors, and in engineered systems, which include the power grid, the World Wide Web, transportation systems, control systems, and human systems. The purpose of this course is to develop the knowledge and tools to understand the dynamics of these systems, and how system states and transitions can be described in terms of general (and possibly universal) organizing principles.
For more information see this course description.