Principles of Complex Systems
Menu
Instructions
Episodes
Slides
Assignments
Tarot Cards
More things
Topics
Resources
Data
Projects
Academic Output
Asides
Video production
Students' Comments
Support Crew
All courses
Note!: This is an archival, mostly functional site. All courses can be found
here.
Topics to be covered, more or less.
Definitions and background
Complexity and Complex Systems
A Manifesto for Studying Complex Systems
Data
Emergence
Statistical Mechanics
Scaling phenomena
Dimensional Analysis
Allometry
Scaling in physical systems
Scaling in biological and ecological systems
Scaling in technological systems
Scaling of social phenomena: crime, creativity, and consumption
Power-law size distributions
Zipf's law
Non-Gaussian statistics and power-law size distributions
Fundamental mechanisms leading to power-law size distributions
Integrity of complex systems
Generic failure mechanisms
Network robustness
Highly optimized tolerance: Robustness and fragility
Normal accidents and high reliability theory
Complex networks
Random networks
Small-world networks
The Six Degrees of Separation thing
Scale-free networks
Search in networked systems (e.g., the web, social systems)
Search on scale-free networks
Knowledge trees, metadata and tagging
Multiscale complex systems
Hierarchies and scaling
Modularity
Form and context in design
Collective behavior and contagion in social systems
Percolation and phase transitions
Disease spreading models
Schelling's model of segregation
Granovetter's model of imitation
Contagion on networks
Herding phenomena
Cooperation
Success inequality: Superstardom and Fame
Collective decision making
Theories of social choice
The role of randomness and chance
Systems of voting
Juries
If time: Happiness
A theory of anything: Why Complexify?