PS 590

Spring 2018

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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:
01/16/18-05/02/18
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
Laboratory-Discussion
CC1
1:30PM -3:30PM
W
4057 Lincoln Hall
Cho, W
Part of Term:
1
Date Range:
01/16/18-05/02/18
Credit:
2 hours
Section Title:
Statistical Computing
Section Info:
CIC ITV Series, 2 credit hours Description: This course will focus on aspects of statistical computing. Modern statistical packages provide many tools for analyzing data. One purpose of this course is to experience the power afforded by moving away from a simple point-and-click environment. We will learn and use basic programming skills to explore how statistical analysis is enhanced though simulation techniques like cross-validation, bootstrapping, and Monte Carol experiments. Although there are no formal prerequisites for this course, students should be conversant with some statistical software package and linear models. We will primarily utilize the R statistical package. Dates: Jan 17, Jan 24, Jan 31, Feb 7, Feb 14, Feb 21, Feb 28. https://polisci.osu.edu/sites/polisci.osu.edu/files/Spring 2018 ITV Course Schedule.pdf
Restriction(s):
Restricted to Graduate - Urbana-Champaign.
26057
Lecture-Discussion
CC2
1:30PM -3:30PM
W
4057 Lincoln Hall
Uribe-McGuire, A
Part of Term:
1
Date Range:
01/16/18-05/02/18
Credit:
2 hours
Section Title:
Agent Based Modeling
Section Info:
CIC ITV Series, 2 credit hours. TOPIC: 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. Dates: March 7, March 28, April 4, April 11, April 18, April 25, May 2. https://polisci.osu.edu/sites/polisci.osu.edu/files/Spring 2018 ITV Course Schedule.pdf
Restriction(s):
Restricted to Graduate - Urbana-Champaign.
26048
Lecture-Discussion
CC3
11:00AM -1:00PM
F
4057 Lincoln Hall
Gaines, B
Part of Term:
A
Date Range:
01/16/18-03/09/18
Credit:
4 hours
Section Title:
Time Series: Modules 1 and 2
Section Info:
"Time Series – 1 & 2 modules" - Instructor Janet Box-Steffensmeier, John Freeman, Jon Pevehouse, Email: steffensmeier.2@osu.edu; freeman@umn; pevehouse@polisci.wisc.edu 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. Dates: Jan 19, 25, Feb 2, 9, 16, 23, March 2, 9, No class March 16, March 23, No class March 30, No class April 6, April 13, 20, 27. https://polisci.osu.edu/sites/polisci.osu.edu/files/Spring 2018 ITV Course Schedule.pdf
Restriction(s):
Restricted to Graduate - Urbana-Champaign.
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