PSCI 571 Quantitative Approaches to International Politics

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  • Spring 2020
    Hein Goemans
    Spring 2020 — R 14:00 - 16:40
    Course Syllabus

    This course examines statistical issues relevant to the study of international politics. We will consider issues such as strategic decision making, geographic interdependence, temporal dynamics, and the operationalization of major concepts, such as power. Of particular interest will be the use and limitations of dyadic data and cross-sectional time series data. Prerequisites: PSC 505 and PSC 572 (or similar course) required; PSC 506 recommended.

  • Spring 2013
    Kevin A. Clarke, Curtis S. Signorino
    Spring 2013 — W 14:00 - 17:00
    Course Syllabus

    This course examines statistical issues relevant to the study of international politics. We will consider issues such as strategic decision making, geographic interdependence, temporal dynamics, and the operationalization of major concepts, such as power. Of particular interest will be the use and limitations of dyadic data and cross-sectional time series data. Prerequisites: PSC 505 and PSC 572 (or similar course) required; PSC 506 recommended.

  • Spring 2011
    Curtis S. Signorino
    Spring 2011 — M 14:00 - 16:40
    Course Syllabus

    This course examines statistical issues relevant to the study of international politics. We will consider issues such as strategic decision making, geographic interdependence, temporal dynamics, and the operationalization of major concepts, such as power. Of particular interest will be the use and limitations of dyadic data and cross-sectional time series data. Prerequisites: PSC 505 and PSC 572 (or similar course) required; PSC 506 recommended.

  • Spring 2008
    Curtis S. Signorino
    Spring 2008
    Course Syllabus

    This course examines statistical issues relevant to the study of international politics. We will consider issues such as strategic decision making, geographic interdependence, temporal dynamics, and the operationalization of major concepts, such as power. Of particular interest will be the use and limitations of dyadic data and cross-sectional time series data. Prerequisites: PSC 505 and PSC 572 (or similar course) required; PSC 506 recommended.