SS 98. Reading in Social Science. Units to be determined for the individual by the department. Elective, in any term. Reading in social science and related subjects, done either in connection with the regular courses or independently of any course, but under the direction of members of the department. A brief written report will usually be required. Graded pass/fail. Not available for credit toward humanities–social science requirement.
SS 101. Selected Topics in Social Science. Units to be determined by arrangement with the instructor; offered by announcement. Not available for social science credit unless specifically approved by social science faculty. Instructors: Staff, visiting lecturers.
CNS/SS/Psy/Bi 102 ab. Brains, Minds, and Society. 9 units (3-0-6); second, third terms. For course description, see Computation and Neural Systems.
CNS/SS/Psy 110 ab. Cognitive Neuroscience Tools. 9 units (3-0-6); second third terms. For course description, see Computation and Neural Systems.
H/SS 124. Problems in Historical Demography. 9 units (3-0-6). For course description, see History.
Ec/SS 124. Identification Problems in the Social Sciences. 9 units (3-0-6); second term. For course description, see Economics.
Ec/SS 129. Economic History of the United States. 9 units (3-0-6); second term. For course description, see Economics.
Ec/SS 130. Economic History of Europe from the Middle Ages to the Twentieth Century. 9 units (3-0-6); third term. For course description,
PS/SS 139. Comparative Politics. 9 units (3-0-6); second term. For course description, see Political Science.
An/SS 142. Caltech Undergraduate Culture and Social Organization. 9 units (3-0-6). For course description, see Anthropology.
CS/SS/Ec 149. Introduction to Algorithmic Economics. 9 units (3-0-6). For course description, see Computer Science.
CS/SS 152. Introduction to Data Privacy. 9 units (3-0-6); first term. Prerequisites: Ma 3, CS 24 and CS 38, or instructor's permission. For course description, see Computer Science.
CNS/Bi/SS/Psy 176. Cognition. 9 units (4-0-5); third term. For course description, see Computation and Neural Systems.
The graduate courses listed below are not necessarily taught each year. They will be offered as need dictates.
SS 200. Selected Topics in Social Science. Units to be determined by arrangement with instructors; offered by announcement. Instructors: Staff, visiting lecturers.
SS 201 abc. Analytical Foundations of Social Science. 9 units (3-0-6); first, second, third terms. This course covers the fundamentals of utility theory, game theory, and social choice theory. These basic theories are developed and illustrated with applications to electoral politics, market trading, bargaining, auctions, mechanism design and implementation, legislative and parliamentary voting and organization, public economics, industrial organization, and other topics in economics and political science. Open to Social Science graduate students only. Instructors: Saito, Tamuz, Pomatto.
SS 202 abc. Political Theory. 9 units (3-0-6); first, second, third terms. Course will introduce the student to the central problems of political theory and analysis, beginning with the essential components of the democratic state and proceeding through a variety of empirical topics. These topics will include the analysis of electoral and legislative institutions, legislative agenda processes, voting behavior, comparative political economy, and cooperation and conflict in international politics. The student will be sensitized to the primary empirical problems of the discipline and trained in the most general applications of game theoretic reasoning to political science. Open to Social Science graduate students only. Instructors: Hirsch, Katz, Alvarez.
SS 205 abc. Foundations of Economics. 9 units (3-0-6); first, second, third terms. Prerequisite: Ec 121 ab or instructor's permission. This is a graduate course in the fundamentals of economics. Topics include comparative statics and maximization techniques, the neoclassical theory of consumption and production, general equilibrium theory and welfare economics, public goods and externalities, the economic consequences of asymmetric information and incomplete markets, and recursive methods with applications to labor economics and financial economics. Open to Social Science graduate students only. Instructors: Border, Echenique, Palfrey.
SS 209. Behavioral Economics. 9 units (3-0-6); spring term. Prerequisite: SS 201 abc or instructor's permission. This course explores how psychological facts and constructs can be used to inform models of limits on rationality, willpower and greed, to expand the scope of economic analysis. Topics include overconfidence, heuristics for statistical judgment, loss-aversion, hyperbolic discounting, optimal firm behavior when consumers are limited in rationality, behavioral game theory, behavioral finance, neuroeconomic dual-self models, and legal and welfare implications of rationality limits. Not offered 2016–17.
SS 210 abc. Foundations of Political Economy. 9 units (3-0-6); first, second, third terms. Prerequisites: SS 202 c, SS 205 b. Mathematical theories of individual and social choice applied to problems of welfare economics and political decision making as well as to the construction of political economic processes consistent with stipulated ethical postulates, political platform formulation, the theory of political coalitions, and decision making in political organizations. Instructor: Palfrey, Hirsch, Yariv.
SS 211 abc. Advanced Economic Theory. 9 units (3-0-6); second, third terms. May be repeated for credit. Advanced work in a specialized area of economic theory, with topics varying from year to year according to the interests of students. Instructors: Saito, Echenique/Pomatto, Yariv.
SS 213 abc. Financial Economics. 9 units (3-2-4); first, second, third terms. First term: asset pricing theory, statistical tests on historical data and evidence from financial markets experiments. Second term: financial econometrics, with emphasis on applications to risk management. Third term: general equilibrium foundations of asset and option pricing theory. Not offered 2016–17.
SS/Ma 214. Mathematical Finance. 9 units (3-0-6); second term. A course on pricing financial derivatives, risk management, and optimal portfolio selection using mathematical models. Students will be introduced to methods of Stochastic, Ito Calculus for models driven by Brownian motion. Models with jumps will also be discussed. Instructors: Cvitanic.
SS 215. Asset Pricing Theory. 9 units (3-0-6); third term. Prerequisites: Students are recommended (but not required) to take SS/Ma 214. This course is designed to get students familiar with modern research in asset pricing theory. It covers topics like arbitrage and pricing, mean-variance single period problem, arbitrage pricing theory, basics of continuous-time finance, valuation of assets in continuous-time and risk-neutral pricing, term structure results and considerations, intertemporal consumption-based asset pricing models, information economics, and some recent development in intermediary-based asset pricing models and behavioral asset pricing models. Instructors: Jin.
SS 216. Interdisciplinary Studies in Law and Social Policy. 9 units (3-0-6); second term. A policy problem or problems involving the legal system will be studied, using concepts from at least one social science discipline. Each offering will be taught by a law professor, alone or in conjunction with a member of the social science faculty. The topic will differ from term to term, so the course may be taken more than once. Selected undergraduates may enroll in this course with the permission of the instructor. Not offered 2016–17.
SS 218. Neuroscience Applications to Economics and Politics. 9 units (3-0-6); second term. Topics in behavioral, affective, and social neuroscience that inform how individuals make economic decisions. Applications of neuroscience ideas and methods to understanding choice under risk and uncertainty, temporal discounting and self-control, advertisement and preference formation, habit, addiction, and judgment bias. Instructor: Camerer.
SS 222 abc. Econometrics. 9 units (3-0-6); first, second, third terms. Introduction to the use of multivariate and nonlinear methods in the social sciences. Open to Social Science graduate students only. Instructor: Shum, Gillen, Sherman.
SS 223 abc. Advanced Topics in Econometric Theory. 9 units (3-0-6); first, second terms. Prerequisite: SS 222 abc; may be repeated for credit. A course in quantitative methods for second- and third-year social science graduate students. Instructors: Sherman/Shum.
SS 225. Experimetrics. 9 units (3-0-6); third term. This course explores the interaction of experimental design and econometric inference in the laboratory approach to economic questions. The course critically evaluates existing experimental studies to highlight this interaction and motivate consideration of inferential strategies early in an experiments design. Methodological topics may include testing theories in two-by-two designs, power and optimal design, classifying subjects into canonical types, testing based on elicited preferences and beliefs, and challenges introduced by communication and dynamics in economic experiments. Instructors: Agranov, Gillen.
SS 227. Empirical Methods in the Social Sciences. 9 units (3-0-6); second term. Prerequisites: SS 222 abc. This is an applied econometrics course that covers the estimation techniques and econometric theory used in contemporary empirical work. With the goal of making causal inference, we will focus on the application of the tools in corporate finance and accounting. The methods covered are applicable to all fields that use non-experimental data, while the emphasis will be on the application of tools rather than the statistical theory. The course has three goals. Students will (i) learn the why and how of major econometric techniques, (ii) effectively structure empirical analysis of research questions, and (iii) strengthen their ability to dissect, digest and critique academic research through referee reports. The topics include the standard empirical identification problem, instrumental variables, difference-in-difference methods, natural experiments, event study and panel data methods. Instructor: Ewens.
SS 228. Applied Data Analysis for the Social Sciences. 9 units (3-0-6); first term. The course covers issues of management and computation in the statistical analysis of large social science databases. Maximum likelihood and Bayesian estimation will be the focus. This includes a study of Markov Chain Monte Carlo (MCMC) methods. Substantive social science problems will be addressed by integrating programming, numerical optimization, and statistical methodology. Instructor: Katz.
SS 229 abc. Theoretical and Quantitative Dimensions of Historical Development. 9 units (3-0-6); first, second terms. May be repeated for credit. Introduction to modern quantitative history. The tools of economic and political theory applied to problems of economic, social, and political development in a historical context. Second and third terms will be graded together. A pass/fail will be assigned in the second term and then changed to the appropriate letter grade at the end of the third term. Instructor: Rosenthal, Hoffman.
SS 231 abc. American Politics. 9 units (3-0-6); first, second, third terms. A three-term course in American politics and political behavior. While drawing from contemporary materials, the course will emphasize the historical background of American political institutions. Instructor: Alvarez.
SS 232 abc. Historical and Comparative Perspectives in Political Analysis. 9 units (3-0-6); second term. Provides a knowledge and understanding of developments in both the American past and in other parts of the world. Not offered 2016–17.
SS 240. Techniques of Policy Research. 9 units (3-0-6). Prerequisite: SS 205 ab. The application of social science theory and methods to the formulation and evaluation of public policy. Not offered 2016–17.
SS/CS 241. Topics in Algorithmic Economics. 9 units (3-0-6). Prerequisites: SS/CS 149. This is a graduate-level seminar covering recent topics at the intersection of computer science and economics. Topics will vary, but may include, e.g., dynamics in games, algorithmic mechanism design, and prediction markets. Instructors: EAS and HSS faculty. Not offered 2016–17.
SS 250. Frontiers in Affective Neuroscience. 9 units (3-0-6); third term. Emotions are at the forefront of most human endeavors. Emotions aid us in decision-making (gut feelings), help us remember, torment us, yet have ultimately helped us to survive. Over the past few decades, we have begun to characterize the neural systems that extend from primitive affective response such as fight or flight to the complex emotions experienced by humans including guilt, envy, empathy and social pain. This course will begin with an in-depth examination of the neurobiological systems that underlie negative and positive emotions and move onto weekly discussions, based on assigned journal articles that highlight both rudimentary and complex emotions. The final weeks will be devoted to exploring how the neurobiological systems are disrupted in affective disorders including anxiety, aggression and psychopathy. In addition to these discussions and readings, each student will be required to write a review paper or produce a short movie on a topic related to one of the emotions discussed in these seminars and its underlying neural mechanisms. Instructor: Mobbs.
CNS/SS 251. Human Brain Mapping: Theory and Practice. 9 units (2-1-6). For course description, see Computation and Neural Systems.
SS/Psy/Bi/CNS 255. Topics in Emotion and Social Cognition. 9 units (3-0-6); third term. Prerequisite: Bi/CNS/NB 150 or instructor's permission. This course will cover recent findings in the psychology and neurobiology of emotion and social behavior. What role does emotion play in other cognitive processes, such as memory, attention, and decision making? What are the component processes that guide social behavior? To what extent is the processing of social information domain-specific? Readings from the current literature will emphasize functional imaging, psychophysical, and lesion studies in humans. Not offered 2016–17.
SS 260. Experimental Methods of Political Economy. 9 units (3-3-3); first, second, third terms. Survey of laboratory experimental research related to the broad field of political economy. Topics: the behavior of markets, organizations, committee processes, and election processes. Emphasis on experimental methods and techniques. Students will design and conduct experiments. May be repeated for credit with instructor's permission. Instructor: Plott.
SS 281. Graduate Social Science Writing Seminar. 9 units (3-0-6); third term. Only open to advanced graduate students in social science. How can social scientists write in a style that makes someone actually want to read their papers? This seminar combines writing exercises with help in planning a professional social science paper and with extensive comments on drafts. Instructor: Hoffman
SS 282 abc. Graduate Proseminar in Social Science. 3 units (2-0-1); first, second, third terms. Course for graduate students in social sciences. Students present their research and lead discussion of material relevant to their research program. Open to Social Science Graduate Students only. Instructors: Echenique, Camerer.
SS/Psy/CNS 285. Topics in Social, Cognitive, and Decision Sciences. 3 units (3-0-0); first, second terms. Select faculty will present their research background, methods, and a sampling of current questions/studies. Background readings and pdf of presentation will be provided. Instructors: Adolphs, Alvarez.
SS 300. Research in Social Science. Units to be arranged.