Prerequisites: Econ 1011 and Econ 1021. Credit 3 units. Development of general equilibrium under pure exchange, including the concepts of competitive equilibrium and Pareto efficiency. This course is a student's initial study of econometric theory and practice. Topics related to the analysis of microeconomic data include cross-section and panel data linear models and robust inference; instrumental variables estimation; simultaneous equation models; models for discrete choice; and truncation, censoring and sample selection models. The PDF will include content on the Courses tab only. The first is demand-side oriented and includes: (1) the measurement of the returns to education in the labor market (human capital theory; the central idea of education as human capital investment); and (2) a characterization of the education production function, which relates the various inputs affecting a student's learning (schools, families, peers, neighborhoods, etc.) Topics to be covered include kernel methods (support vector machines, Gaussian processes), neural networks (deep learning), and unsupervised learning. Applications to the current economic crisis will also be discussed. Required courses: Course List; . Prerequisite: Econ 1011. It is possible to earn the Certificate in Financial Economics in conjunction with this major (prime or second), and interested students should consult with Academic Coordinator Dorothy Petersen in the Department of Economics. This course highlights important empirical facts concerning growth and development in various countries at different development stages. Though basic functions will be covered, our focus will be on leveraging Excel's more advanced functions, analytical tools, reporting templates, and linking features to manage multiple workbooks, manipulate data across files, automate tasks, and produce publication quality charts, tables, and graphs. An Ident course is the exact same course as the Home (i.e. This question was created from hw3.pdf. Majors must complete 7 electives, with 3 in each discipline and one from either department. We expect students to master the topics below, Supervised learning setup Training, testing, validation, generalization Training error, testing error, generalization error Loss functions for regression, classification Perceptron algorithm (analysis andimplementationin MATLAB/Python) Linear regression (least-squares model) Linear classification (logistic regression) Gradient descent Non-linear feature space transformation Cross-validation Bias-variance decomposition of the error Parametric vs non-parametric models Multi-class classification k-NN model (2-optimal,implementationin MATLAB/Python) KD-trees, Ball-trees Decision trees: training, pruning, and prediction (analysis andimplementationin MATLAB/Python) Bagging, random forests (analysis andimplementationin MATLAB/Python) Boosting, Adaboost (theoretical analysis andimplementationin MATLAB/Python) Support vector machines (primal and dual optimization, slack variables, kernel SVM) Neural networks (backpropagation algorithm). Theories will be evaluated using historical data and detailed case studies. Arch: SSC Arch: SSC For a thorough introduction to economics, Econ 1011 also should be taken. Coverage of demand theory (indifference curves and utility functions) and preferences under uncertainty, including expected utility and risk aversion. Prerequisite: Econ 4011. Elective courses: Theory and policy applications of labor supply and labor demand; explanations of wage and income differentials; migration and immigration; discrimination; labor unions; unemployment. Section 3 prerequisites: Econ 4011 and Math 2200 or equivalent. This course covers advanced applications of Game Theory in economics. This is the second part of the two-course sequence for seniors writing an honors thesis, and it is taken in the spring semester of the senior year. This courseassumes that you have taken a first course on machine learning that covers theory and practice, (CSE 417T is a hard pre-requisite). Students can enroll after their selection by a supervising faculty member, which occurs after an application (on the department website) is submitted and reviewed, perhaps in conjunction with an interview with the supervising faculty member. Assignments are revised to improve logical structure, clarity and style. Topics to be covered include kernel methods (support vector machines, Gaussian processes), neural networks (deep learning), and unsupervised learning. The PDF will include content on the Faculty tab only. Prerequisites: Econ 4011. Students who have AP credit for Math 131, Math 132 and/or Math 2200 do not have to complete additional mathematics coursework. It is possible to earn the Certificate in Financial Economics in conjunction with this major (prime or second). Bryan Coronel MS Data Analytics, Stats @ WashU'23 | Prev @ LinkedIn, Abbott | Seeking Data Science, ML Roles This course provides a more in depth look into quantitative methods used in contemporary macroeconomic analysis. A&S IQ: SSC As noted previously, students are strongly encouraged to complete at least one internship and to complement their studies with appropriate course work from the Olin Business School. Econ 413 may be taken from an approved study abroad program. In addition to providing hands-on experience using Excel's advanced capabilities, the course is designed to serve as a bridge between introductory econometrics and practical work with real-world datasets. Arts & Sciences students who declare this major must fulfill the distribution and all other requirements for an AB degree in addition to the specific requirements listed below. In practice, we will apply these methods to solve two major models used in macroeconomic analysis, using both Excel and Matlab. This subsection is a help session, and attendance is not required. Business fluctuations: inflation and recession; monetary and fiscal policy; economic development. Theories of incorrect beliefs and systematic biases such as money illusion and procrastination will be covered. In addition to theEconomics major, there are two interdisciplinary majors: Economics & Computer Science and Math & Economics. The CSE517 Web: 1993-2023, Department of Computer Science and Engineering, Univerity of Washington. How come some societies are apparently much more innovative than others? Refer to the Undergraduate Bulletin or Econ department website for policies pertaining to by-passing the introductory economics (Econ 1011, Econ 1021) courses. The upper-level units (300- and 400-level courses) required for the major must be independent of other majors or minors (i.e., upper-level coursework required for a major may not be double-counted for another major or a minor in Arts & Sciences). An additional approved substitution for the "statistics" requirement of the majors is DAT 120 AND DAT 121. For a thorough introduction to economics, Econ 1021 also should be taken. Prerequisites: The prerequisite courses for Econ4011 are Econ1011 and Math132. Keep in mind that you will be placed on the waiting list until you pass the take-home placement exam. Majors must complete 4 economics electives at the 300- or 400-level. Students pursuing this joint major through the McKelvey School of Engineering or through Arts & Sciences must do the following, in addition to the major requirements: Complete one additional economics elective. Analytic theory of consumer and producer behavior under perfect and imperfect competition. Possible topics include but are not limited to inequality (domestic and international); globalization (pros/cons); "big banks" and their role in financial crises; wars and national security; health and disease; and capitalism and socialism. Refer to the Undergraduate Bulletin or Math department website for policies pertaining to by-passing calculus courses. (55 Documents), CSE 541T - Computer Algorithms This course investigates issues related to the development of the economics of third-world countries. "Institution" "Site Name" "Site URL" "Department" "City" "State" "Zipcode" "Country" "Contact Name" "Contact Phone" "Contact Email" "Contact Name (alt)" "Contact . The lower-division course requirements are designed to provide a strong foundation in mathematics, physics, programming methodology and skills, and computer organization. McKelvey Hall, home to CSE, was designed with collaboration and innovation in mind. Topics include: translation of economic theory into statistical models, statistical foundations of econometrics, preregression analysis bivariate and multiple regression techniques, hypothesis testing, multicollinearity, specification error, autocorrelation, errors in variables, identification, and simultaneous estimation. Prerequisite: Econ 4011. Economics students with business interests typically complete at least one internship to obtain practical business experience, and it is possible to obtain academic credit for that internship. L11Econ410 Macroeconomics of Inequality. sites.wustl.edu/neumann/courses/spring-2016/cse-517/, http://sites.wustl.edu/neumann/courses/spring-2016/cse-517/. L11Econ444 Innovation and Intellectual Property: Theory and Practice. You can also read the most current Washington University Bulletin. Piazza is an intuitive platform for instructors to efficiently manage class Q&A. EN: S. Money and the monetary system; money creation by the banking system; central bank functions; monetary theory and economic policy. This course is designed to complement Econ 472. The class will include an introduction to experimental methods in economics, including hands-on experience in the MISSEL laboratory. Topics covered include: the U.S. crisis in historical and international perspective; corporate finance of firms and banks in closed and open economy; monetary and fiscal policy intervention; the open economy dimension of the financial crisis; the European Sovereign Debt crisis. Topics include expected utility, strategic-form and extensive-form games with perfect information, Bayesian games, infinitely repeated games, dominance, Nash equilibrium and its refinements. EN: S, L11Econ437 The Economics of Financial Intermediation. Analysis of consumer demand for health care, medical technology, and the role of health insurance. Gaetano Antinolfi Professor Weidenbaum Center Research Fellow PhD, Cornell University Macroeconomics; monetary and international economics, Yongseok Shin Douglass C. North Distinguished Professor of Economics PhD, Stanford University Macroeconomics; economic growth, Costas Azariadis Edward Mallinckrodt Distinguished Professor in Arts & Sciences Weidenbaum Center Research Fellow PhD, Carnegie Mellon University Macroeconomic dynamics; economic development; monetary and fiscal policy, Michele Boldrin Joseph Gibson Hoyt Distinguished Professor in Arts & Sciences Graduate Admissions Officer PhD, University of Rochester Economic theory; economic growth; macroeconomics, Francisco (Paco) Buera Sam B. Cook Professor of Economics PhD, University of Chicago Macroeconomics; macroeconomic development, Steven Fazzari Director of the Weidenbaum Center on the Economy, Government, and Public Policy Bert A. and Jeanette L. Lynch Distinguished Professor of Economics PhD, Stanford University Macroeconomics; Keynesian economics; investment and finance, George-Levi Gayle John H. Biggs Distinguished Professorship in Economics PhD, University of Pittsburgh Econometric theory; contract theory; labor economics; personnel economics; corporate governance, Limor Golan Laurence H. Meyer Professor of Economics PhD, University of WisconsinMadison Labor economics; applied microeconomics; applied econometrics, Rodolfo Manuelli James S. McDonnell Distinguished University Professor PhD, University of Minnesota Economic growth and development economics; macro and monetary economics, Bruce Petersen Director of Undergraduate Studies Bert & Jeanette Lynch Distinguished Professor of Economics Weidenbaum Center Research Fellow PhD, Harvard University Financial economics; applied microeconomics, Werner Ploberger Thomas H. Eliot Distinguished Professor in Arts & Sciences PhD, Vienna University of Technology Statistics; econometric methodology; time-series econometrics, Robert Pollak Hernreich Distinguished Professor of Economics PhD, Massachusetts Institute of Technology Environmental economics; microeconomics/industrial organization; business and government; political economy, Ping Wang Seigle Family Professor NBER Research Associate PhD, University of Rochester Growth/development; money/macro; economic theory; spatial/health economics, Marcus Berliant Director of Graduate Studies PhD, University of California, Berkeley Public finance; mathematical economics; urban economics, John Nachbar PhD, Harvard University Economic theory, Brian Rogers PhD, California Institute of Technology Microeconomic theory, in particular, the fields of network formation, social learning, and applied game theory, Jonathan Weinstein PhD, Massachusetts Institute of Technology Microeconomic theory, game theory, Gaurab Aryal PhD, Pennsylvania State University Industrial organization; empirical industrial organization, Sukkoo Kim PhD, University of California, Los Angeles Economic history; urban and regional economics; trade and development, Ana Babus PhD, Erasmus University Rotterdam Microeconomic theory; finance, Ian Fillmore PhD, University of Chicago Intersection of industrial organization, labor economics, and econometrics; economics of education and education markets, Sanghmitra Gautam PhD, University College London Development economics; applied microeconometrics; public economics, Andrew Jordan PhD, University of Chicago Labor markets, discrimination, and criminal justice, SangMok Lee PhD, California Institute of Technology Microeconomics, Sudeshna Bandyopadhyay PhD, University of Maryland, Grace J. Yan Johnson PhD, Oklahoma State University, Mariagiovanna Baccara PhD, Princeton University, Scott A. Baker JD, University of Chicago PhD, University of North Carolina at Chapel Hill, Leonard Green PhD, State University of New York, Oksana Leukhina PhD, University of Minnesota, Glenn MacDonald PhD, University of Rochester, Fernando Martin PhD, University of Pennsylvania, Alexander Monge-Naranjo PhD, University of Chicago, Camillo Padoa-Schioppa PhD, Massachusetts Institute of Technology, Paulia Restrepo-Echavarria PhD, University of California, Los Angeles, Juan Sanchez PhD, University of Rochester, Guillaume Vandenbroucke PhD, University of Rochester, David Levine John H. Biggs Distinguished Professor Emeritus PhD, Massachusetts Institute of Technology, Major in Economics|Major in Economics and Computer Science | Major in Mathematics and Economics | Certificate in Financial Economics | Additional Information. BU: BA, ETH See the appropriate Washington University Bulletin Archive. The prerequisite courses for Econ 4011 are Econ 1011 and Math 132. A minimum of 3 of the total economics electives completed for the major-plus-Certificate must be drawn from the approved List of Financial Economics electives, above. Students with a major in Math+Econ have two options through which the Certificate in Financial Economics may be earned. *Of these options, Math 3200 is the preferred course. A sound grounding in economic theory is essential to the course. December 15 for spring-semester graduates. The global financial crisis of 2007-2009 was the most severe since the Great Depression. Meet the people solving our biggest problems. CSE517: Natural Language Processing Catalog Description: Overview of modern approaches for natural language processing. Follow these directions to have the Certificate in Financial Economics added to your academic record. Topics include language models, text, classification, tagging, parsing, machine translation, semantic, and discourse analysis. Please direct questions about 247R and requests regarding excused absences to them via the 247R Piazza board . L11Econ4301 Understanding the Financial Crisis. At what level does an interest rate become usury? Are you sure you want to create this branch? With this background, we approach the debate about intellectual property, what it is and what it is not good for, whose interests it serves, and whose well-being it thwarts. The other two economics electives must come from the following list: Econ 404 Behavioral and Experimental Economics, Econ 437 The Economics of Financial Intermediation, Econ 477 Topics in Financial Economics: Investments, Econ 477 Topics in Financial Economics: Asset Pricing.

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