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Complex Systems Center

Course Description

CS 302 - Modeling Complex Systems
     
  Instructor(s):
Margaret (Maggie) J Eppstein
 
  Description:
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Integrative breadth-first introduction to computational methods for modeling complex systems; numerical methods, cellular automata, agent-based computing, game theory, genetic algorithms, artificial neural networks, and complex networks.
 
  Prerequisites:
Computer programming (in any language, but Matlab is the language that we use in the course), calculus. Linear algebra is recommended.
 
  Methodologies:
Agent-based simulation / cellular automata, Chaos theory, Evolutionary/adaptive computing/simulation, Game Theory, Nonlinear dynamic differential equations, Pattern recognition/classification/data mining
 
  Domains:
Not specific to any particular application domain
 
  Frequency: Once a year
  Credits: 3
 
 
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