The CSE program provides three majors in all, with numerous electives, allowing flexibility to explore your academic and career interests. L11Econ410 Macroeconomics of Inequality. CSE 517A Machine Learning, Washington University in St. Louis - GitHub - suziray/COURSE-517-machine-learning: CSE 517A Machine Learning, Washington University in St. Louis 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. The course introduces students to the field of political economy. The lifecycle model is used to examine questions involving decision-making over the lifecycle. Financial economics is a field of economics in which economicprinciples are applied to the study of financial markets, corporations, banks, and monetary and central bank policies. We will examine the extent to which these are consistent with standard economic theory and how they may contradict it. Arch: SSC Coincident with the evolution of financial institutions was the development of the asymmetric information model. Access study documents, get answers to your study questions, and connect with real tutors for CSE 514A : Data Mining at Washington University In St Louis. You signed in with another tab or window. L11Econ4011 Intermediate Microeconomic Theory. | March 2, 2023 This is the first part of the two-course sequence for seniors writing an honors thesis, and it is taken in the fall semester of the senior year. Business cycle facts and consideration of alternative explanations for business cycle phenomena. Attendance at the subsection is recommended, but not required. Minors in an approved study abroad/study away program may receive transfer credit for one economics elective at the 300-level. L11Econ413W Introduction to Econometrics with Writing. The approach is to apply the economic theory and concepts to political actors and behavior. Students who by-pass Econ 1011 and/or Econ 1021 will need to complete additional elective coursework in Computer Science or in Economics. The class will include an introduction to experimental methods in economics, including hands-on experience in the MISSEL laboratory. Empirical examples are drawn from Asia, Latin America, and the African subcontinent. Implementation of monetary and fiscal policy, and exploration of the impact of policy changes on the macroeconomy. An introduction to mathematical optimization and its applications within economics. The Certificate in Financial Economics may be earned by anyone with a major (prime or second) in Economics, Economics & Computer Science, or Math & Economics. It is an excellent course of study to pursue, whether students plan to enter the workforce after graduation or are considering graduate work in law, engineering or the social sciences. Econometrics is the development and application of statistical techniques for the measurement of economic phenomena. This course is a student's initial study of econometric theory and practice. McKelvey students may declare a prime major via E81 (Computer Science) or a second major via L11 (Econ). Arch: SSC Econ 4011 Intermediate Microeconomic Theory, or Econ 413W Introduction to Econometrics with Writing. The third part of the course is devoted to the links between education and economic development, including cross-country differences in schooling, returns to schooling and per-capita income. Expand the sections below to learn about the approved electives and the specific requirements, depending on the student's major. Prerequisite: invitation into the "Honors in Economics with Thesis" track of the department's Honors Program. EN: S, L11Econ4941 Economic Analysis with Excel. In CSE 517a we cover topics such as kernel methods (support vector machines, Gaussian processes), neural networks (deep learning), unsupervised learning, and practical machine learning (feature selection, dimensionality reduction, model evaluation, and comparison). DAT 120 and DAT 121 may be used to fulfill the requirement. The prerequisite courses for Econ4021 are Econ1021 and Econ4011. A sound grounding in economic theory is essential to the course. Emphasis on the consistency between empirical data and different concepts of the American Dream. Prerequisites: prior completion of, or concurrent enrollment in, Econ 413 (or equivalent). We look at the theories, we examine the facts (past and present), then we go back to the theories and reconsider their explanatory power. Development of general equilibrium under pure exchange, including the concepts of competitive equilibrium and Pareto efficiency. The lower-division course requirements are designed to provide a strong foundation in mathematics, physics, programming methodology and skills, and computer organization. Two to four topics will be chosen for in-depth discussion during the semester. 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? Arch: SSC Please direct questions about 247R and requests regarding excused absences to them via the 247R Piazza board . Exceptional spaces for discovery and creation McKelvey Hall, home to CSE, was designed with collaboration and innovation in mind. Prerequisites: Econ 4011, Econ 4021 and Econ 413. Prerequisites: Econ 4011 and Math 2200 or equivalent. The instructor for the course this semester is Michael Hall. Coverage of demand theory (indifference curves and utility functions) and preferences under uncertainty, including expected utility and risk aversion. Senior Honors: Students are invited during the second semester of their junior year to participate in the honors program during their senior year if they meet certain academic requirements. This course investigates issues related to the development of the economics of third-world countries. In addition, Econ493 or Math233 must be taken prior to, or concurrently with, enrollment in Econ4011. Substitutions for mathematics courses and study abroad approval for mathematics courses will be determined by the Department of Mathematics and Statistics. 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). FL2023 E81 CSE 517A Machine Learning 3.0 Units Hide Description: This course assumes a basic understanding of machine learning and covers advanced topics at the frontier of the field in-depth. This class counts towardsthecertificate in data mining and machine learningasrequired course. It emphasizes the development of analytical models and their application to important economic, social and political issues, such as inflation, unemployment, taxation, inequality, poverty, pollution, government decision-making and regulation. We will also see how economists test hypotheses about the criminal justice system using the same types of "natural experiments" they use to study markets. For Mathematics, the electives can come from the following list: Math 4121 Introduction to Lebesgue Integration, Math 4392 Advanced Linear Statistical Models, Math 460 Multivariate Statistical Analysis, Math 462 Mathematical Foundations of Big Data. Senior Honors: Students are invited during the second semester of their junior year to participate in the honors program during their senior year if they meet certain academic requirements. What explains the decline of manufacturing, and its growth in the early stages of development? Students with a major in Math+Econ have two options through which the Certificate in Financial Economics may be earned. Students will be expected, at a minimum, to attend lectures and hold office hours. Arch: SSC L11Econ472 Topics in Growth and Development. This is the version of our website addressed to speakers of English in the United States.If you are a resident of another country or region, please select the . CSE 517A 517a - Washington University in St Louis School: Washington University in St Louis * Documents (10) Q&A (1) Textbook Exercises 517a Documents All (10) Homework Help (5) Test Prep (1) Showing 1 to 10 of 10 Sort by: Most Popular 3 pages thw2 6 pages thw1 7 pages hw3.pdf 8 pages hw2.pdf 4 pages hw4.pdf 7 pages 01_lecturenote_SRM.pdf 7 pages In financial markets, trade is essentially "money now" for "money in the future." CSE 517A -MACHINE LEARNING Spring 2018 Marion Neumann COURSE OVERVIEW & STRUCTURE ABOUT Marion Neumann email: m dot neumannat wustldot edu office: Jolley Hall 222 office hours: TUE11:30-12:30pm Lectures: TUE & THU 10-11:30pm inHillman 70 Course website: https://sites.wustl.edu /neumann/courses/cse517a/sp18/ Substitutions for computer science courses and study abroad (or away) approval will be determined by the McKelvey School of Engineering. A&S IQ: SSC, AN Three 3-unit computer science electives drawn from the list below: With instructor permission, students may use any of the following for economics elective credit: Students may declare a prime or a second major in Math + Economics via L24 (Math) or L11 (Econ), and that will determine their major advisor. Prerequisite: Econ 4021. Credit 3 units. Students can enroll in only one section per semester. Prerequisites: The prerequisite courses for Econ 4011 are Econ 1011 and Math 132. Students may not receive major credit for both ESE 417 and CSE 417T. This course is a broad introduction to machine learning, covering the foundations of supervised learning and important supervised learning algorithms. Please note: Requests for online registration will be wait listed, and students will be enrolled according to Economics major/minor status and student level (e.g., priority to Level 8 Econ majors). Majors are encouraged to complete the form as early as possible, and the form must be completed prior to filing an Intent to Graduate. How to submit: You can commit your code through the command line with git and submit on Gradescope either in a zip file or through Github. Refer to the departments websites or consult with either Prof. Blake Thornton (mathematics; Substitutions for mathematics courses and study abroad approval for mathematics courses will be determined by the Math department. Completion of the Certificate requires - in addition to the major requirements - completion of extra elective(s), where there is a concentration of electives in the field of "financial economics."

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