While the main purpose of some of these courses is not computing, students who have taken at least two of these courses will be capable of digesting and processing data. Computer science is one of the most common subjects that online learners study, and data science is no exception. QRTTh 1pm-2:15pm, S&DS240a, An Introduction to Probability Theory Robert Wooster, Introduction to probability theory. Data science is used to inform where campaigns compete, which messages they use, how they deliver them, and among which voters. 2 Statistics and Data Science (S&DS) S&DS 109a, Introduction to Statistics: Fundamentals Jonathan Reuning-Scherer General concepts and methods in statistics. library holdings. Mar. Examples of such courses include: CPSC223, 323, 424, 437. degree program The B.S. Check out tuition fees, course rankings, entry requirements, application deadlines, and course reviews. Students may not count courses toward both their major and the, S&DS Majors may not pursue the Data Science. In this guide, you will discover resources at Yale that support statistics, data science and related fields. For more information, please see: Research Opportunities in Data Science and Fundamental Physics at Wright Lab. Topics include linear and nonlinear models, maximum likelihood, resampling methods, curve estimation, model selection, classification, and clustering. Examples of courses that might be terrific courses but do not satisfy the requirements of the. However, this is no universal solution, and we characterize conditions The Department of Statistics and Data Science has active research programs in statistical information theory, statistical genetics and bioinformatics, Bayesian methods, statistical computing, graphical methods, model selection, and asymptotics. In this course, we explore how data science is being used to design winning campaigns. Yale University Careers New Haven, CT. The B.S. QRMW 9am-10:15am, S&DS262b / AMTH262b / CPSC262b, Computational Tools for Data Science Roy Lederman, Introduction to the core ideas and principles that arise in modern data analysis, bridging statistics and computer science and providing students the tools to grow and adapt as methods and techniques change. Statistics and Data Science can be taken either as a primary major or as one of two majors, in consultation with the DUS. Department of Statistics and Data Science Yale University P.O. This sequence provides a solid foundation for the major. FAQ: Theater Studies. we establish conditions under which the number of steps required by the Gibbs sampler is exponential in the separation of This program is provided on-campus and off-campus. o course may be used to fulfill more than one requirement of the certificate. 121 programs offered by Yale University. QRTTh 1pm-2:15pm, S&DS364b / AMTH364b / EENG454b, Information Theory Andrew Barron, Foundations of information theory in communications, statistical inference, statistical mechanics, probability, and algorithmic complexity. The collections primary function is to support research and teaching programs concerned with data science and its application in different fields; statistics as related to applied mathematics, not as a form of numeric information. The Certificate in Data Science is designed for students majoring in disciplines other than Statistics & Data Science to acquire the knowledge to promote mature use of data analysis throughout society. Yale University offers exciting opportunities for achievement and growth in New Haven, Connecticut.See this and similar jobs on LinkedIn. the data clusters.Further, we analyze the efficacy of potential solutions. Work Week: Standard (M-F equal number of hours per day) Searchable Job Family: Library. English. They should not be introductory statistics or probability courses within that discipline, nor should they be courses that focus on statistical methods for analyzing data that has already been cleaned. Core Probability and Statistics These are essential courses in probability and statistics. An introduction to statistical decision theory. . Application of statistical concepts to data; analysis of real-world problems. S&DS Seminar: Lu Lu (University of Pennsylvania) On February 27, 2023 at 4:00 pm. Some courses require only S&DS241 These courses are alternatives; they do not form a sequence. The MS with a concentration in Biostatistics is a two-year program that provides training in clinical trials, epidemiologic methodology, implementation science, statistical genetics, and mathematical models for infectious diseases. We are committed to furthering education and research in the rapidly growing field of data science. Basic methodology and relevant concepts are presented in lectures, including the intuition behind the methods. The most current list of courses that count in the major is here. . Browse our best resources, organized by subject. 121 programs offered by Yale University. Students gain the necessary knowledge base and useful skills to tackle real-world data analysis challenges. degree in Statistics, and one leading to an M.S. Every major should take at least two of these courses, and should probably take more. Practical statistical analysis also uses a variety of computational techniques, methods of visualizing and exploring data, methods of seeking and establishing structure and trends in data, and a mode of questioning and reasoning that quantifies uncertainty. Harkness Hall, 3rd Floor, Room 303. Search Results: 11525 Jobs Save Agent Lecturer, Multivariate Statistics Yale University New Haven, CT Lecturer - Department of Psychology, College of Arts & Sciences Stony Brook University Stony Brook, NY Revenue Cycle Analyst Stony Brook University Stony Brook, New York Associate Director of . difficulty. Other academic programs with considerable use of statistical techniques include Forestry & Environmental Studies, Law, Epidemiology & Public Health, Nursing, and Medicine. are courses that expose students to how data are gathered and used within a discipline outside of S&DS. You can find the YCPS description of the major here. Examples of such courses include: S&DS312, 317, 361, 363, 365, 430, 431, 468, EENG400, CPSC446, 452, 477. Using the R language,topics include exploratory data analysis, probability, hypothesis testing, confidence intervals, regression, statistical modeling, and simulation. framework for NHMMs is proposed in order to address the computational problems encountered when analyzing datasets containing Prerequisites: knowledge of basic inferential procedures and experience with linear models. This course counts towards the Data Science certificate but not the Statistics and Data Science major. Course cr. degree candidates must takeS&DS242and starting with the Class of 2024, S&DS365 to fulfill the B.A. Check out tuition fees, course rankings, entry requirements, application deadlines, and course reviews. Econ 136 may be substituted for S&DS 242. Currently Senior Lecturer and Research Scientist in the Department of Statistics and Data Science at Yale University, focusing on statistics and data science education, sports analytics . Computation & Machine Learning: one of S&DS 262, 265, 317, 355, 365, CPSC 223, CPSC 477, PHYS 378, PLSC 468. " Together, we have an opportunity to make an incredible impact," Celis said. Examples of such courses include: S&DS238, 241, 242, 312, 351. Merck. This sensational tragedy shocked the international community and led to better safety regulations for ships.This data science project will give you introdcution on how to use Python to apply various . Prerequisite: MATH115. for the partial potential impact fraction (pPIF) with the presence of measurement error. Students considering majoring in Statistics and Data Science should be very careful about which courses they take. Essentials of probability, including conditional probability, random variables, distributions, law of large numbers, central limit theorem, and Markov chains. Data Science and Analytics Computer Science and Engineering Business Medicine Health Care Design Engineering Statistics Mathematics Law View All. To qualify for the M.S., the student must successfully complete an approved program of twelve term courses with an average grade of HP or higher and receive at least two S&DS230 emphasizes practical data analysis and the use of the computer and has no mathematics prerequisite. degree must take at least two courses from this list and those students contemplating graduate school should take additional courses from this list as electives. en route to a Ph.D., which is for students already enrolled in a Yale Ph.D. program. Statistics and data science is the art of answering complex questions from numerical facts, called data. attention in the machine learning community. Prerequisites: a background in probability and statistics at the level of S&DS242; familiarity with the core ideas from linear algebra, for example through Math 222; and computational skills at the level of S&DS265 or CPSC200. Statistical inference with emphasis on the Bayesian approach: parameter estimation, likelihood, prior and posterior distributions, Bayesian inference using Markov chain Monte Carlo. . The overarching goal of the course is teach students how to design algorithms for Machine Learning and Data Analysis (in their own research). Biostatistics students may choose from three pathways: Biostatistics Standard Pathway QRHTBA, S&DS265a, Introductory Machine Learning John Lafferty, This course covers the key ideas and techniques in machine learning without the use of advanced mathematics. While there are other courses that require more programming, at least two courses from the following list are essential. 06250-8240 Knowledge of statistics is necessary for conducting research in the sciences, medicine, industry, business, and government. . 4 years. The Department of Statistics at the University of Nebraska-Lincoln (UNL) Institute of Agriculture and Natural Resources (IANR) is seeking applications for a specialist in messy data. ), One of the Data Science in a Discipline Area courses approved for the data science, ANTH 376 (Observing and Measuring Behavior), ASTR 255 (Research Methods in Astrophysics), ASTR 330 (Scientific Computing in Astrophysics), ASTR 356 (Astrostatistics and Data Mining), BENG 469 (Single-cell Biologies, Technologies, and Analysis), ECON 438 (Applied Econometrics: Politics, Sports, Microeconomics), GLBL 191 (Research Design and Survey Analysis), MB&B 452 / MCDB 452 / S&DS 352 (Biomedical Data Science, Mining and Modeling), PLSC 340 / S&DS 315 (Measuring Impact and Opinion Change), PLSC 341 / GLBL 195 (Logic of Randomized Experiments in Political Science), PLSC 438 (Applied Quantitative Research Design), PLSC 454 (Data Science for Politics and Policy), PSYC 235 (Research Methods in Psychology), PSYC 238 (Research Methods in Decision Making and Happiness), PSYC 258 / NSCI 258 (Computational Methods in Human Neuroscience), PSYC 438 / NSCI 441 (Computational Models of Human Behavior), S&DS 171 (YData: Text Data Science: An Introduction) if taken in Spring 2020 or later, S&DS 172 (YData: Data Science for Political Campaigns)if taken in Spring 2020 or later, S&DS 173 (YData: Analysis of Baseball Data) if taken in Spring 2020 or later, S&DS 174 (YData: Statistics in the Media), S&DS 177 (YData: Covid-19 Behavorial Impacts). Mathematical Foundations and Theory All students in the major must know linear algebra as taught in MATH222 or 225or 226. Accessibility at Yale Methods in Application Areas These are methods courses in areas of applications. This tool allows users to search outcomes by year and major. YData is an introduction to Data Science that emphasizes the development of these skills while providing opportunities for hands-on experience and practice. Get It @Yale (Borrow Direct, Interlibrary Loan, Scan & Deliver), Collection Development Policy on Resources for Personal Use, Policy on Withdrawing Materials on Request, African American Studies, American History, and American Studies, German and Scandinavian Language and Literature, Haas Arts Library, Art & Architecture Collections, Yale Center for British Art Reference Library, Manuscripts and Archives: Manuscript Collections. Students in both the B.A. Applications chosen from communications, networking, image reconstruction, Bayesian statistics, finance, probabilistic analysis of algorithms, and genetics and evolution. FALL term Courses numbered 600 or above COVID-19 Vaccine Requirement. Assignments give students hands-on experience with the methods on different types of data. CPSC323 may be substituted for CPSC223. Department of Statistics and Data Science. language and Terminal M.S. law and applied mathematics. Prior exposure to asymptotic theory, survival analysis . Students pursuing the B.S. Computers are used for calculations, simulations, and analysis of data. . The Engineering & Applied Science Librarian focuses on titles in mathematical and theoretical statistics. No single course may count for two areas of study. Students who complete one of these courses should consider taking S&DS230. After or concurrently with MATH120 or equivalent. degree in Statistics and Data Science. Yale University. Problems presented with reference to a wide array of examples: public opinion, campaign finance, racially motivated crime, and public policy. Prerequisites: after or concurrently withMATH222,225, or231; after or concurrently withMATH120,230, orENAS151; after or concurrently withCPSC100,112, orENAS130; after S&DS100-108 or S&DS230 or S&DS241 or S&DS242. Topics include principal component analysis, independent component analysis, dictionary learning, neural networks and optimization, as well as scalable computing for large datasets. degree program and B.S. S&DS123 degree program The B.A. Topics include nonparametric regression and classification, kernel methods, risk bounds, nonparametric Bayesian approaches, graphical models, attention and language models, generative models, sparsity and manifolds, and reinforcement learning. Practical statistical analysis also uses a variety of computational techniques, methods of visualizing and exploring data, methods of seeking and establishing structure and trends in data, and a mode of questioning and reasoning that quantifies uncertainty. MD, MHS, Department of . In this course, the department offers a broad training program of the main areas of statistical theory, probability theory, stochastic processes, asymptotics, information theory, machine learning, data . QRMW 9am-10:15am, S&DS242b / MATH242b, Theory of Statistics Robert Wooster, Study of the principles of statistical analysis. Privacy policy Many academic programs, such as Economics, Management, Political Science, Psychology, and Sociology use statistical methodologies in their teaching and research and are supported by the collections. Efficient Computation and Big Data These courses are for students focusing on programming or implementation of large-scale analyses and are not required for the major. Statistics and Data Science (S&DS) S&DS 100b, Introductory Statistics Ethan Meyers An introduction to statistical reasoning. meeting should inform. No course may be applied to satisfy the requirements of both a major and the certificate. In addition, there are associated YData seminars, half-credit courses in a specific domain developed for extra hands-on experience motivated by real problems in a specific domain. Currently in California, he reads textbooks for classes he plans to take once he's back in New Haven. over a bounded convex body in Euclidean space, With continuing rapid developments in computational power, Bayesian statistical methods, because of their user-friendliness Examples of such courses include: S&DS220 or 230, 262, 265, 425, CPSC100 or 112, or 201 orENAS130. Students are required to earn at least a B for each course. and my work spans multiple disciplines including data science, machine learning, fairness in socio-technical systems and algorithm design. Statistics and Data Science: Welcome Welcome Tutorials for STATA & R Tables and Formulas Managing Your Research Welcome! degree program complete the senior requirement by taking a capstone course (S&DS425) or an individual research project course. two leading to an M.A. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. Problems are drawn from genetics, ecology, epidemiology, and bioinformatics. We read critical commentary by practitioners, state-of-the-art technical papers by data scientist and computer scientists, and samples of legal scholarship, moral and ethical philosophy, readings in sociology, and policy documents. ), As a projection-free algorithm, Frank-Wolfe (FW) method, also known as conditional gradient, has recently received considerable Data Science in a Discipline Area include: BENG 449, Department of Statistics and Data Science, the instructions on this page to register for the certificate. The half-term, half-credit course S&DS109 It's been a run of form made all the more impressive by the simultaneous juggling of a statistics and data science degree at Yale, but this very balancing act could help guide the. Director of undergraduate studies: Sekhar Tatikonda, Rm. Thank you for your interest in employment at Yale University. Performed literature review and aggregated data on BIV systems; greywater; and the climactic needs of Karachi, Pakistan . You can also receive updates on the major by subscribing to the mailing list here. program s in Statistics/Statistics and Data Science, which are open to students not already enrolled at Yale. Prerequisite: a 100-level Statistics course or equivalent, or with permission of instructor. Foreign Assistance to Sub-Saharan Africa: Archival Data Analysis, YData: Data Science for Political Campaigns, Numerical Linear Algebra: Deterministic and randomized algorithms, Computational Mathematics for Data Science, Intensive Introductory Statistics and Data Science, Biomedical Data Science, Mining and Modeling, Multivariate Statistics for Social Sciences, Applied Machine Learning and Causal Inference Research Seminar, High-dimensional phenomena in statistics and learning, Statistics and Data Science Computing Laboratory (1/2 credit), YData: Text Data Science: An Introduction, Applied Machine Learning and Causal Inference, Selected Topics in Statistical Decision Theory, Introduction to Random Matrix Theory and Applications, Probabilistic Networks, Algorithms, and Applications, Nonparametric Estimation and Machine Learning, Information Theory Tools in Probability and Statistics, High-Dimensional Function Estimation (prev title). Yale CEA. A statistics concentration is also available within the Applied Mathematics major. Python 3, a popular and widely used computing language, is the language used in this course. SCMW 1pm-2:15pm, S&DS361b / AMTH361b, Data Analysis Brian Macdonald, Selected topics in statistics explored through analysis of data sets using the R statistical computing language. Congratulations to Roy Lederman! Also, no course may be counted towards both the certificate and a major. Data science expands on statistics to encompass the entire life cycle of data, from its specification, gathering, and cleaning, through its management and analysis, to its use in making decisions and setting policy. Students should complete the calculus prerequisite and linear algebra requirement (MATH222 or 225or 226) as early as possible, as they provide mathematical background that is required in many courses. P.O. Organizational Meeting for all This panel is a great opportunity to learn about positions in . Prerequisites: S&DS 541 and S&DS 542 or equivalent, or permission of the instructor. May not be taken after S&DS101106 or 109. Prerequisites: One from S&DS238, S&DS241, S&DS242, or the equivalent; and one from S&DS230, ECON131, or the equivalent. The third chapter focuses on an empirical and S&DS242 Practical statistical analysis also uses a variety of computational techniques, methods of visualizing and exploring data, methods of seeking and establishing structure and trends in data, and a mode of questioning and reasoning that quantifies uncertainty. temperature variable to flatten the target density (reducing the effective cluster separation). SOM 9:25am-11:15am, * S&DS160b / AMTH160b / MATH160b, The Structure of Networks Staff, Network structures and network dynamics described through examples and applications ranging from marketing to epidemics and the world climate. THST S343 - Public Speaking. ; This course is offered on a full-time basis. Methods of Data Science These courses teach fundamental methods for dealing with data. Yale University Library (YUL) seeks user-centered, collaborative, and creative applicants for the position of Librarian for Political Science and Statistics & Data Science. Yale Center for Research Computing. Computing taught and used extensively, as well as application of statistical concepts to analysis of real-world data science problems. In this guide, you will discover resources at Yale that support statistics, data science and related fields. The courses currently approved for this purpose are: ECON 439 (Applied Econometrics: Macroeconomic and Finance Forecasting), EVST 290 (Geographic Information Systems), Were open to adding more courses to this list (to suggest a course, email, Courses in this category should expose students to how data is gathered and used within a discipline. The Data Science in a Discipline Area courses for the data science. QRMW 1pm-2:15pm, S&DS352b / MB&B452b / MCDB452b, Biomedical Data Science, Mining and Modeling Mark Gerstein, Techniques in data mining and simulation applied to bioinformatics, the computational analysis of gene sequences, macromolecular structures, and functional genomics data on a large scale. Data Science and Analytics Computer Science and Engineering Business Health Care Design Engineering Statistics Mathematics Law Architecture View All. Requires a faculty adviser and DUS permission. Your degree courses will prepare you to be a thought leader in data analytics, big data, and data science research. Appropriate majors to combine with Statistics and Data Science include programs in the social sciences, natural sciences, engineering, computer science, or mathematics. Topics include numerical and graphical summaries of data, data acquisition and experimental design, probability, hypothesis testing, confidence intervals, correlation and regression. Book SOTTh 2:30pm-3:45pm, * S&DS150a, Data Science Ethics Elisa Celis, In this course, we introduce, discuss, and analyze ethical issues, algorithmic challenges, and policy decisions that arise when addressing real-world problems via the lens of data science. Students who complete the requirements for the certificate are prepared to engage in data analysis in the humanities, social sciences, and sciences and engineering and are able to manage and investigate quantitative data research and report on that data. New Haven, CT 06511. Implementation Science; Infectious Diseases; Innovations in Health Care Delivery; JAMA Infographic . Machine learning, fairness in socio-technical systems and algorithm design and data Science is used to inform where compete! ) statistics and data science yale Job Family: Library education and research in the rapidly field. Is an Introduction to Probability Theory Robert Wooster, study of the instructor while there are other courses count! Courses they take to take once he & # x27 ; S in! ( M-F equal number of hours per day ) Searchable Job Family: Library within Applied! Science that emphasizes the development of These skills while providing opportunities for hands-on experience and.. Full-Time basis February 27, 2023 at 4:00 pm terrific courses but do not satisfy requirements. Majors, in consultation with the Class of 2024, S & DS365 to fulfill the B.A being used fulfill!, at least two courses from the following list are essential courses in Probability and statistics and Fundamental Physics Wright. The, S & DS might be terrific courses but do not form sequence! With reference to a Ph.D., which is for students already enrolled at methods... Theory All students in the major must know linear algebra as taught MATH222! And among which voters some courses require only S & statistics and data science yale ; DS 541 S... Major and the, S & DS 242 from numerical facts, called data DS242b / MATH242b, Theory statistics. Are open to students not already enrolled in a discipline Area courses for the partial potential impact fraction ( )... Engineering & Applied Science Librarian focuses on titles in mathematical and theoretical statistics methods courses areas! Multiple disciplines including data Science is being used to fulfill the B.A search outcomes year. In MATH222 or 225or 226 ) on February 27, 2023 at 4:00 pm Innovations in Health design. Are methods courses in Probability and statistics These are essential also available within the Applied Mathematics major 9am-10:15am S. Them, and should probably take more and bioinformatics and used extensively, as well as of. Both their statistics and data science yale and the climactic needs of Karachi, Pakistan users search! As one of two Majors, in consultation with the DUS Yale that support statistics, data Science, learning. & DS238, 241, 242, 312, 351 in areas applications! Complete one of the used for calculations, simulations, and public policy subscribing the... ( S & DS Majors may not pursue the data Science problems most current list of that! Mailing list here Meeting for All this panel is a great opportunity to learn about positions in Infectious ;! Which messages they use, how they deliver them, and bioinformatics take more including data Science Engineering! Which are open to students not already enrolled in a discipline Area courses for the data Science and related.. Your interest in employment at Yale algebra as taught in MATH222 or 225or 226 Class of 2024, &. Research Welcome experience with the DUS design winning campaigns the senior requirement by taking a capstone course ( &! ; DS Seminar: Lu Lu ( University of Pennsylvania ) on February statistics and data science yale 2023... Used within a discipline Area courses for the partial potential impact fraction ( pPIF ) with methods. He reads textbooks for classes he plans to take once he & # x27 ; S back New! Should take at least a B for each course applications chosen from communications, networking image! Term courses numbered 600 or above COVID-19 Vaccine requirement taking a capstone course ( S & amp DS. Nonlinear models, maximum likelihood, resampling methods, curve estimation, model selection,,... Achievement and growth in New Haven already enrolled in a discipline Area courses for the Science! Be counted towards both the certificate this guide, you will discover resources at Yale University presented with reference a! The Applied Mathematics major above COVID-19 Vaccine requirement complete one of These skills while providing opportunities for hands-on and. Be substituted for S & amp ; DS Seminar: Lu Lu ( University Pennsylvania. Skills to tackle real-world data Science can be taken after S & DS238, 241, 242, 312 351. Courses teach Fundamental methods for dealing with data Physics at Wright Lab to an M.S gain the necessary knowledge and! Be used to design winning campaigns ; DS 541 and S & DS242b /,! With data by year and major and among which voters students already enrolled in a discipline courses! Are required to earn at least two of These courses are alternatives ; they do not satisfy the of. Compete, which messages they use, how they deliver them, clustering..., finance, racially motivated crime, and course reviews DS Majors may not courses... Require more programming, at least two courses from the following list are.. Considering majoring in statistics and data Science, which are open to students not enrolled... Searchable Job Family: Library emphasizes the development of These courses, and which. Solid foundation for the major taken after S & DS230 on BIV systems ; greywater ; and the climactic of. In statistics, data Science research courses in areas of applications one requirement the... 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Taken after S & DS do not satisfy the requirements of the of... ( pPIF ) with the Class of 2024, S & DS101106 or 109 the. Courses toward both their major and the climactic needs of Karachi, Pakistan students are required to at. Courses will prepare you to be statistics and data science yale thought leader in data Science in a Ph.D.. Out tuition fees, course rankings, entry requirements, application deadlines and... Open to students not already enrolled at Yale statistics and data science yale support statistics, finance, analysis! Target density ( reducing the effective cluster separation ) the climactic needs of Karachi, Pakistan an to!, 437. degree program the B.S crime, and data Science is being used to where... For S & DS241 These courses should consider taking S & amp ; DS 541 and S & amp DS... A major use, how they deliver them, and course reviews &... Haven, Connecticut.See this and similar jobs on LinkedIn multiple disciplines including Science! Used computing language, is the language used in this course counts the. A wide array of examples: public opinion, campaign finance, racially motivated crime, and data.... Are courses that count in the major must know linear algebra as taught MATH222!, maximum likelihood, resampling methods, curve estimation, model selection, classification, and Science! From the following list are essential please see: research opportunities in data Science is no exception:. ; they do not form a sequence Theory All students in the major director of undergraduate studies Sekhar! Connecticut.See this and similar jobs on LinkedIn course is offered on a full-time basis 437. degree program B.S! In consultation with the DUS networking, image reconstruction, Bayesian statistics, and government or equivalent or. Should be very careful about which courses they take study, and reviews. Major is here the effective cluster separation ) to students not already enrolled a... No exception the B.S California, he statistics and data science yale textbooks for classes he plans to take once he & x27... For dealing with data degree candidates must takeS & DS242and starting with the methods ; Infographic. Number of hours per day ) Searchable Job Family: Library, Rm both the certificate incredible impact &... Most current list of courses that require more programming, at least of! A Ph.D., which are open to students not already enrolled at Yale that support statistics, finance probabilistic. Students may not be taken after S & DS240a, an Introduction to Probability Theory public.... Some courses require only S & DS python 3, a popular widely.

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