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Course Criteria
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3.00 Credits
Distribution Course in Society. Class of 2009 & prior only. Staff. Prerequisite(s): ECON 001 and 002. Credit cannot be received for both ECON 033 and 233. The course begins with an extensive discussion of models of labor market demand and supply. The rest of the course addresses a variety of related topics including the school-to-work transition, job training, employee benefits, the role of labor, unions, discrimination, workforce diversity, poverty, and public policy.
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3.00 Credits
Stein. Prerequisite(s): ECON 001, 002, and 103. The course will use economic theory and econometric analysis to explore issues regarding decision making and allocation of resources within the family. The impact of gender roles and differences on economic outcomes will be discussed. We will study some feminist criticism of the economic tools for understanding household allocations and gender differences. The US economy will serve as the reference point though developing countries will also be discussed.
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3.00 Credits
Distribution Course in Society. Class of 2009 & prior only. Staff. Prerequisite(s): ECON 001 and 002. Credit cannot be received for both ECON 035 and 235. Theories of various industrial organizational structures and problems are developed, including monopoly, oligopoly, moral hazard and adverse selection. These theories are then applied to the study of various industries, antitrust cases, and regulatory issues.
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3.00 Credits
Distribution Course in Society. Class of 2009 & prior only. Staff. Prerequisite(s): ECON 001 and 002. Credit cannot be received for both ECON 036 and 234. The relationship of economic principles to law and the use of economic analysis to study legal problems. Topics will include: property rights and intellectual property; analysis of antitrust and economic analysis of legal decision making.
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3.00 Credits
Sillari. This course aims to offer a historical overview about human reasoning, as well as to illustrate how logical reasoning can be treated in a rigorous way by formal means. In particular, we shall trace the attempts to provide an accountof correct reasoning from Aristotle and Euclid, to the work of Boole and Frege in the 19th century. We shall then focus on deductively correct reasoning: those circumstances in which the truth of a conclusion is guaranteed by the truth and correctness of the premises and reasoning adopted to reach it. Our goal is to distinguish valid and invalid arguments by purely formal means. As opposed to the analysis of deductive reasoning carried out in the first part of the course, in the second part we shall concentrate on inductive reasoning. We shall review the skeptic challenge to empirical knowledge, and examine some answers to such challenge. In this setting we shall consider the development of probability calculus and decision theory.
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3.00 Credits
Sen. This course will provide an introduction to models of human decision making. One of the primary purposes of the course is to provide a set of basic tools that will help the student translate uncertainty into numbers. Rational choice under uncertainty is by far the most used theory of decision making, and its applications are widespread in economics, finance, political science, law, managerial decision making, the economics of health care, and artificial intelligence. The course will use examples from each of these fields (and also fun "paradoxes" such as the Monty Hall Puzzle) in providing an introduction to the basic foundations of decision making. We will also look at the shortcomings of the rational choice theory: both from intuitive and empirical perspectives. No mathematical prerequisites are necessary beyond high school algebra and arithmetic.
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3.00 Credits
How does google find what you're looking for Why do real estate values rise or plummet in certain neighborhoods Do people act rationally in economic and financial settings Are you really only six friends away from Kevin Bacon How does the stock market actually work What do game theory and the Paris subway have to do with Internet routing Networked Life will explore recent scientific efforts to explain social, econimic and technological structures - and the way these structures interact -- on many different scales, from the behavior of individuals or small groups to that of complex networks such as the Internet and global economy.
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3.00 Credits
Prerequisite(s): An introductory course in Computer Science, Linguistics, Neuroscience, Philosophy or Psychology. How do minds work This course surveys a wide range of answers to this question from the disciplines ranging from philosophy to neuroscience. The course devotes special attention to the use of simple computational and mathematical models. Topics include perception, action, thought, learning, memory and social interaction.
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3.00 Credits
May be counted as a General Requirement Course in Formal Reasoning & Analysis. Class of 2009 & prior only. Baron. A CGS section may be given. Judgments, decisions under certainty and uncertainty, problem solving, logic, rationality, and moral thinking.
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3.00 Credits
Staff. Elementary applications of decision analysis, game theory, probability and statistics to issues in accounting, contracting, finance, law, and medicine, amongst others.
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