PS 590

Spring 2020

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Research in Selected Topics
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Credit: 2 TO 12 hours.

Research in selected topics by arrangement with the instructor.

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CRN Type Section Time Day Location Instructor Section Details
10195
Independent Study
ARRANGED
n.a.
Location Pending
Part of Term:
1
Date Range:
01/21/20-05/06/20
Special Approval:
Instructor Approval Required
Section Info:
Register for PS 590 with individual instructor. CRNS vary by instructor.
Restriction(s):
Restricted to Graduate - Urbana-Champaign.
26052
Lecture-Discussion
CC1
11:00AM -1:00PM
F
David Kinley Hall
Bowers, J
Part of Term:
1
Date Range:
01/21/20-05/06/20
Credit:
4 hours
Section Title:
Time Series: Modules 1 and 2
Section Info:
Class will meet in 429 David Kinley Hall. Class meets: January 24, 31, February 7, 14, 21, 28, March 6, 27, April 3, 10, 17, 24. John Freeman and Jon Pevehouse "Time Series – 1 & 2 modules". Description: This course studies statistical techniques used to analyze social processes occurring through time. We begin by discussing social problems that are inherently dynamic in nature and also how time series are measured. We then review the calculus of finite differences. We move next to the study stationary ARMA models, "reduced form" methods (granger causality and vector autogression), unit root tests, near-integration, fractional integration, cointegration, and error correction models. Time series regression is briefly discussed. We address not only how to construct these models but also how to use time series models in social science analyses. Spring 2020 schedule: https://polisci.osu.edu/sites/default/files/2019-11/Spring%202020%20PoliSci%20U%20Course%20Schedule.pd
Restriction(s):
Restricted to Graduate - Urbana-Champaign.
Restricted to PHD:Political Science -UIUC.
26057
Lecture-Discussion
CC2
1:30PM -3:30PM
W
David Kinley Hall
Uribe-McGuire, A
Part of Term:
A
Date Range:
01/21/20-03/13/20
Credit:
2 hours
Section Title:
Agent Based Modeling
Section Info:
Class will meet in 429 David Kinley Hall. Dates: January 22, 29, February 5, 12, 19, 26, March 4. Agent Based Modeling. Description: This course will cover the role of computational game theory in complex systems. We will explore examples of simulation based and agent based models in political science and discuss the importance, evolution, and necessity of such models. Students should have familiarity with game theory and be comfortable with at least one coding language (R, Matlab, Python, etc.). The final project for this course will be a paper utilizing an agent based model or a similar simulation based model. Spring 2020 schedule: https://polisci.osu.edu/sites/default/files/2019-11/Spring%202020%20PoliSci%20U%20Course%20Schedule.pdf
Restriction(s):
Restricted to Graduate - Urbana-Champaign.
Restricted to PHD:Political Science -UIUC.
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