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Course Description

MGMT 225
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.

Course Credit:

Dan Ryan

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.

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Contact Information
P: 510.430.3173

If you have a specific question for a faculty member, please contact or call 510.430.2194.

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Last Updated: 3/15/18