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). Rather than focusing on the whole history of economic thinking, we will focus on practical issues, including questions such as the following: What determines the wage of labor? A&S IQ: SSC Our programs push the boundaries to develop and transform the future of computing. We look at the theories, we examine the facts (past and present), then we go back to the theories and reconsider their explanatory power. More information about the majors, the minors, the course offerings, and the honors program can be found in the Economics Undergraduate Guide, available on the department website and from the department. Engineering students who declare this major must fulfill the distribution and all other requirements for the BS in Applied Science degree in the McKelvey School of Engineering. Consult with the Economics departments Academic Coordinator. CSE 517A Machine Learning, Washington University in St. Louis, CSE 517A Machine Learning, Washington University in St. Louis Majors interested in completing the Certificate in Financial Economics should complete the following declaration form. Two to four topics will be chosen for in-depth discussion during the semester. The course relies heavily on the concepts and methods of microeconomics and macroeconomics. 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. Time permitting, additional topics will be introduced. Text corpora are used by corpus linguists and within other branches of linguistics for statistical analysis, hypothesis testing, finding patterns of language use, investigating language change and variation, and teaching . Topics include economic growth, poverty, corruption, and human capital accumulation, with an emphasis on education and health-related policies. Substitutions for economics courses and study abroad (or away) approval will be determined by the Academic Coordinator in the Econ department. There are many theories of how economic policies work and considerable debate as to what can be done and what should be done. An additional approved substitution for the "statistics" requirement of the majors is DAT 120 AND DAT 121. Theory and policy applications of labor supply and labor demand; explanations of wage and income differentials; migration and immigration; discrimination; labor unions; unemployment. Course information and content will be available on Canvas, Spring 2021, Spring 2020 (jointly with Marion Neumann). Interdisciplinary perspectives from economics, sociology and other areas of social inquiry. Business cycle facts and consideration of alternative explanations for business cycle phenomena. In financial markets, trade is essentially "money now" for "money in the future." Prerequisite: Econ 4011. In addition, Econ493 or Math233 must be taken prior to, or concurrently with, enrollment in Econ4011. Students who are prime in McKelvey (EN) may use ESE326 for the "statistics" requirement of any of the majors, and no pre-approval is required. 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. 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. The study of economics contributes to a broad liberal arts education and helps students develop superior problem-solving skills. Prerequisite: invitation into the "Honors in Economics with Thesis" track of the department's Honors Program. Prerequisite: Econ 4011. Math 131 Calculus I (AP credit may satisfy this requirement), Math 132 Calculus II (AP credit may satisfy this requirement), Math 3200 Elementary to Intermediate Statistics and Data Analysis*, or Math 3211 Statistics for Data Science I, or ESE 326 Probability and Statistics for Engineering, or DAT 120 & DAT 121 Managerial Statistics I and Managerial Statistics II, or Math 310 Foundations for Higher Mathematics. Prerequisites: Econ 1011 and Econ 1021, or consent of the instructors. Are there policies that help fostering innovation and others that hurt? Business fluctuations: inflation and recession; monetary and fiscal policy; economic development. CSE247R is a separate, 1-credit course that 247 students may sign up for. Staff | Energy, Environmental & Chemical Engineering at WashU Prior Python experience means comfort with using Python for the ESE 417 homework, and that level of comfort can come from a class or from self-learning. Art: SSC The second third addresses particular public policies, with a focus on their intended and unintended consequences and their costs. Prerequisites: senior standing and permission of the supervising faculty member. economics@wustl.edu, Advising / Questions / Further Considerations. Prerequisities: (none listed) Credits: 4.0 Economic analysis of labor markets. Three 3-unit computer science electives drawn from the list below: CSE 311A Introduction to Intelligent Agents Using Science Fiction, CSE 330S Rapid Prototype Development and Creative Programming, CSE 332S Object-Oriented Software Development Laboratory, CSE 341T Parallel and Sequential Algorithms, CSE 412A Introduction to Artificial Intelligence, CSE 417T Introduction to Machine Learning*, or ESE 417 Introduction to Machine Learning and Pattern Classification, CSE 425S Programming Systems and Languages, CSE 427S Cloud Computing with Big Data Applications, CSE 543T Algorithms for Nonlinear Optimization, ESE 417 (Introduction to Machine Learning and Pattern Classification)**. The award is considered the most prestigious in the real-time systems field. Applications to the current economic crisis will also be discussed. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
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