Course Database: Course Summary

PSC 507 Computational Methods

Graduate Course
Political Science Field: Techniques of Analysis
Typically offered every other year

  • Michael Peress

    Course Website

    An introduction to computational methods with particular emphasis on applying these techniques in methods and formal theory. Being on the cutting edge of political methodology and formal theory increasingly requires detailed knowledge of computational techniques. We will cover such topics as numerical differentiation and integration, simulation methods, numerical linear algebra, numerical optimization, computation of equilibria, and various other topics. Each of these techniques will be applied to a number of core applications: Bayesian estimation, estimation using the Simulated Method of Moments, nonparametric estimation, multiplayer games, dynamic optimization problems, and structural estimation.


For the official course schedule, including restrictions, classrooms, and current enrollments, check the Registrar's official schedules. More current syllabi and course information might be available for students on my.rochester.edu.