Principles of Complex Systems
form a highly interconnected two course sequence.
Both courses are part of the curriculum for the Graduate Certificate in Complex Systems and the Masters of Science in Complex Systems and Data Science at the University of Vermont.
Many of the problems we face in the modern world revolve around comprehending, controlling, and designing multi-scale, interconnected systems. Networked systems, for example, facilitate the diffusion and creation of ideas, the physical transportation of people and goods, and the distribution and redistribution of energy. Complex systems such as the human body and ecological systems are typically highly balanced, flexible, and robust, but also susceptible to systemic collapse. These complex problems almost always have economic, social, and technological aspects.
So what do we know about complex systems? The aim of this introductory, interdisciplinary course is to impart knowledge of a suite of theories and ideas and tools that have evolved over the last century in the pursuit of understanding complex systems. We’ll touch on everything from physics to sociology, from randomness to cities to language. Throughout the course, we’ll maintain a focus on (1) real small-scale mechanisms that give rise to observed macro phenomena, (2) scaling phenomena, and (3) complex networks, allowing us to explore how seemingly disparate systems connect to each other—the phenomenon of universality—and, just as importantly, where tempting analogies break down.
Assignments will comprise challenge questions, intermediate between standard coursework problems and more open, research type enigmas.
The following will not be part of the course: