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Art-Arch 4982: PUBLIC ART: HISTORY, PRACTICE, THEORY
3.00 Credits
Washington University in St Louis
The course considers the history and functions of public art, with special attention to public art in St. Louis. We survey not only the obvious forms of public art in urban sculpture and mural painting, but also less traditional intersections of art and public in such sites as the internet. We also examine the operations of institutions-national and local arts agencies, international exhibitions, nonprofit centers and the like-that foster a public engagement with contemporary art. Finally, we consider new priorities and projects in public art, especially socially oriented and environmentally sustainable initiatives. Prerequisites: Art-Arch 112 (Introduction to Western Art) or Art-Arch 211 (Introduction to Modern Art); one 300-level course in Art History preferred, or permission of instructor.
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Art-Arch 4982 - PUBLIC ART: HISTORY, PRACTICE, THEORY
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Art-Arch 499: Honors Art & Archaeology
3.00 Credits
Washington University in St Louis
A major research paper acceptable to the department. Prerequisite: permission of the department.
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Art-Arch 499 - Honors Art & Archaeology
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ASTAT 2200: Elementary Probability and Statistics
3.00 Credits
Washington University in St Louis
Same as Math 2200
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ASTAT 2200 - Elementary Probability and Statistics
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ASTAT 321G: Philosophy of Science
3.00 Credits
Washington University in St Louis
Same as Phil 321G
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ASTAT 321G - Philosophy of Science
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ASTAT 363: Quantitative Political Methodology
3.00 Credits
Washington University in St Louis
Same as Pol Sci 363
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ASTAT 363 - Quantitative Political Methodology
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ASTAT 364: Intermediate Applied Statistics: Linear Models
3.00 Credits
Washington University in St Louis
This course provides a detailed introduction to linear statistical models, the workhorse of applied statistics. Building on foundations in basic probability theory and central limit theorems, linear statistical models can be built from first principles to describe data and/or formalize statistical inference. The remainder of the course evaluates the robustness to deviations from the basic assumptions and thus generalize the core principles of the linear regression model. (Formerly ASTAT 350E.) Prerequisites: ASTAT 330 or ASTAT 363.
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ASTAT 364 - Intermediate Applied Statistics: Linear Models
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ASTAT 370: Topics in International Affairs: A Quantitative Look
3.00 Credits
Washington University in St Louis
This course provides an introduction to applied statistics in international politics with a particular focus on violent conflict and international human rights. Two books on international conflict intertwine theoretical argumentation with historical and quantitative evidence: Sartori's Deterrence by Diplomacy and Schultz's Democracy and Coercive Diplomacy. Beyond these texts, we examine the "democratic peace thesis" applied to international conflict and human rights abuses. We use the applications to explore the ways in which statistical argumentation is utilized in international conflict studies while learning important tools to undertake such argumentation ourselves and critically read reported evidence.
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ASTAT 370 - Topics in International Affairs: A Quantitative Look
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ASTAT 381: Quantitative Political Methodology I
3.00 Credits
Washington University in St Louis
Same as Pol Sci 581
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ASTAT 381 - Quantitative Political Methodology I
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ASTAT 413: Introduction to Econometrics
3.00 Credits
Washington University in St Louis
Same as Econ 413
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ASTAT 413 - Introduction to Econometrics
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ASTAT 420: Categorical Data Analysis
3.00 Credits
Washington University in St Louis
This course represents an introduction to methods for analyzing categorical data. Methods covered include those for contingency-table data (i.e., all variables are nominal or ordinal), as well as regression models for nominal and ordinal outcome variables. Although distribution theory and maximum likelihood are introduced as needed, the emphasis is on learning when and how to apply the methods, and how to interpret the results. Computations are done either by hand or with the SAS computer program. Previous experience with SAS is useful, but not assumed. Prerequisite: ASTAT 350, 364, 3067, or 413, or Psych 5066 or equivalent.
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ASTAT 420 - Categorical Data Analysis
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