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  • 88 181: Topics in Law: 1st Amendment

    9.00 Credits
    Carnegie Mellon University

    In their firm desire to perfect the new Constitution, which defined and limited the powers and roles of their new government, the founding fathers insisted on explicit statements that would protect the rights of the new nation's citizens. Indeed, the protection of these essential rights in many ways drove and defined their successful rebellion from Britain. This impulse resulted in ten amendments to the Constitution, which we have come to know as the Bill of Rights. The very first (and arguably considered at the time as the most essential) of these was the First Amendment, which we sometimes call the "free speech" amendment to the Constitution. This amendment guarantees every U.S. citizen five freedoms: freedom of religion, speech, press, peaceable assembly, and the freedom to petition the government for redress of grievances. This course examines the historical and philosophical roots of this key constitutional amendment, how it has been fleshed out and defined over time through case law, and the bases of some more recent critics of this amendments and current interpretations.
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  • 88 184: Topics of Law: The Bill of Rights

    9.00 Credits
    Carnegie Mellon University

    This course examines the history and place of the Bill of Rights in our nation's constitutional framework. It focuses on the historical origins of the U.S. Constitution, of each of the first ten amendments to the Constitution (that we refer to as the "Bill of Rights"), how the meanings and interpretations of these have evolved over time, and what they mean to us today. Each article of the Bill of Rights will be examined in terms of its original intentions, and then through cases that have challenged and been interpreted through the Bill's articles.
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  • 88 198: Research Training: Social and Decision Sciences

    6.00 Credits
    Carnegie Mellon University

    This course is part of a set of 100-level courses offered by H SS departments as independent studies for second-semester freshmen, and first- or second-semester sophomores, in the College. In general, these courses are designed to give students some real research experience through work on a faculty project or lab in ways that might stimulate and nurture subsequent interest in research participation. Faculty and students devise a personal and regular-ized meeting and task schedule. Each Research Training course is worth 9 units, which generally means a minimum for students of about 9 work-hours per week. These courses are offered only as electives; i.e., they cannot be applied toward a college or major requirement, although the units do count toward graduation as elective units. Additional details (including a roster and descriptions of Research Training Courses available in any given semester) are available in the H SS Academic Advisory Center. Prerequisites/ restrictions: for H SS students only; only for second-semester freshmen, or first- or second-semester sophomores; minimum cumulative QPA of 3.0 (at the time of registration) required for approved entry; additional prerequisites (e.g., language proficiency) may arise out of the particular demands of the research project in question.
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  • 88 205: Comparative Politics

    9.00 Credits
    Carnegie Mellon University

    The aim of the course is to discuss, analyze and compare democratic, totalitarian and authoritarian regimes. Each of the models will be analyzed both from a theoretical and a practical perspective emphasizing the rights and obligations of the individual, the form in which the government functions and the process through which countries arrive at a particular form of government. The course will focus on British democracy, Nazi Germany, and Chile's authoritarianism. The course will conclude with an analysis of current processes of democratization and transition to capitalism. No prerequisites.
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  • 88 220: Policy Analysis I

    9.00 Credits
    Carnegie Mellon University

    This course provides an introduction to theories and methods for policy analysis. The main focus of the course is to develop an understanding of how theories from social science, such as economics, can help us understand policy issues such as allocation, regulation, and welfare. Throughout the course we analyze outcomes produced by private markets, by examining consumer choice, the supply and demand of factors and produced goods, and general and partial equilibrium. We also analyze the efficiency and welfare properties of such outcomes, paying special attention to the role of policy in influencing market outcomes. We consider how policy can address the efficiency and welfare shortcomings of markets that may result from informational asymmetries, industrial organization, moral hazard, transactions costs, and bounded rationality. Markets are compared in this light with organizational, governmental, and other modes of resource allocation. Grading will be based mainly on 3 exams. Homework assignments and/or quizzes will comprise a smaller part of the grade. Priority access is given to SDS junior and senior students.
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  • 88 221: Policy Analysis II

    9.00 Credits
    Carnegie Mellon University

    This course is an extension of Policy Analysis I and focuses on a normative analysis of government action. The course begins by considering justifications for government action drawing on work in political philosophy. It then compares different institutional approaches governments may adopt in attempting to correct market failures and in pursuing objectives other than efficiency. The basic concepts and tools of cost benefit analysis are then presented. Students are involved in individual and group projects applying the class material to specific policy issues.
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  • 88 222: Policy Analysis Senior Project

    12.00 Credits
    Carnegie Mellon University

    Students in this course apply the research and analytical methods learned in their other courses to a real-world problem. Students decide how to structure the problem, divide into teams responsible for its different parts, identify and analyze relevant literature, collect data, synthesize their results, and present their conclusions in oral and written form to a review panel of individuals concerned with the problem. Faculty members help them along the way. Performance is based on students' contribution to the process and substance of the class, as observed by the faculty and by their fellow students. One or two such projects is offered every term. A complete list of previous topics is available from the department.
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  • 88 223: Decision Analysis and Decision Support Systems

    9.00 Credits
    Carnegie Mellon University

    This course emphasizes explicit procedures for analyzing complex decisions. The topics covered include: decision trees and other models of decisions involving uncertainty; methods for quantifying preferences and expert opinion; risk analysis; and the development and use of computerized decision aids ranging from spread sheet programs to highly specialized decision support models.
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  • 88 251: Empirical Research Methods

    9.00 Credits
    Carnegie Mellon University

    This course teaches students how to evaluate and conduct original research regarding human behavior, whether it be in economic, social, or political settings. The course gives students practical experience in many of the most commonly used research techniques, including surveys, experiments, and quasi-experimental analysis. Although the course focuses primarily on the relationship between formulating research questions and implementing the appropriate methods to answer them, students can expect regularly to apply the statistical techniques learned in the course prerequisites, including regression.
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  • 88 252: Empirical Research for Social Science and Policy

    9.00 Credits
    Carnegie Mellon University

    This course explores what we can learn from applying regression analysis to questions in the social sciences and policy analysis. A central theme is that regression gives us ways to test whether phenomena are associated, but drawing conclusions about causality requires critical thinking about the types of processes that can generate any observed associations. Students will learn how to articulate causal hypotheses, prepare data, construct specific measures of the phenomena described in a proposed causal model, and interpret regression results. We will also examine how regression techniques can often be extended to evaluate which potential causal processes are consistent with further patterns of association in the data. The course emphasizes active learning and makes extensive use of interactive exercises. Half of our class time will be spent in a computer lab and the last several weeks will be devoted to small-group projects on an applied policy analysis topic. Examples of research questions in the exercises include: ? Does lead exposure reduce IQ? ? Does democracy reduce the chance of going to war? ? Does too much economic competition undermine innovation? ? Does watching TV cause obesity? ? Do curfew laws reduce crime? ? Does burning of fossil fuels raise global temperatures? ? Does wealth increase the rate of formation of new businesses?
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