Simulation & Modeling in the Social and Policy Sciences
In this advanced hands-on class students are introduced to computer applications used for simulation and analysis in the social and policy sciences. Topics vary, but typically include advanced applications of standard desktop software, statistical packages, relational databases, network analysis, geographic information systems, intelligent agent models, and systems dynamics simulation. Data and examples are drawn from economics, history, political science, public policy, anthropology, and sociology.
Students expected to possess basic computer skills and an openness to things mathematical, and to have undertaken previous course work in social sciences beyond the introductory level.
Limit fifteen students.
Open to graduate students only.