Introduces students to basic concepts, tools, and issues which arise using computers to model complex systems. Emphasis is placed on the modeling process itself, from model design through implementation to analyzing, documenting, and communicating results. Case studies of computer models of complex systems, including adaptive and non-adaptive complex systems drawn from economics, ecology, immunology, epidemiology, evolutionary biology, political science, and cognitive science.
Class Format:
As a DC (Distance due to COVID) course, all aspects of this course will be fully compatible with remote online learning. The weekly lectures for this course will be recorded and made available asynchronously.