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economics and computer science masters: Internet Economics Lee W. McKnight, Joseph P. Bailey, 1998 The Internet has rapidly become an important element of the economic system. The lack of accepted metrics for economic analysis of Internet transactions is therefore increasingly problematic. This book, one of the first to bring together research on Internet engineering and economics, attempts to establish such metrics. The chapters, which developed out of a 1995 workshop held at MIT, include architectural models and analyses of Internet usage, as well as alternative pricing policies. The book is organized into six sections: 1) Introduction to Internet Economics, 2) The Economics of the Internet, 3) Interconnection and Multicast Economics, 4) Usage Sensitive Pricing, 5) Internet Commerce, and 6) Internet Economics and Policy. Contributors Loretta Anania, Joseph P. Bailey, Nevil Brownlee, David Carver, David Clark, David W. Crawford, Ketil Danielsen, Deborah Estrin, Branko Gerovac, David Gingold, Jiong Gong, Alok Gupta, Shai Herzog, Clark Johnson, Martyne M. Hallgren, Frank P. Kelly, Charlie Lai, Alan K. McAdams, Jeffrey K. MacKie-Mason, Lee W. McKnight, Gennady Medvinsky, Liam Murphy, John Murphy, B. Clifford Neuman, Jon M. Peha, Joseph Reagle, Mitrabarun Sarkar, Scott Shenker, Marvin A. Sirbu, Richard Jay Solomon, Padmanabhan Srinagesh, Dale O. Stahl, Hal R. Varian, Qiong Wang, Martin Weiss, Andrew B. Whinston |
economics and computer science masters: Analytical Political Economy Roberto Veneziani, Luca Zamparelli, 2018-06-11 Offering a unique picture of recent developments in a range of non-conventional theoretical approaches in economics, this book introduces readers to the study of Analytical Political Economy and the changes within the subject. Includes a wide range of topics and theoretical approaches that are critically and thoroughly reviewed Contributions within the book are written according to the highest standards of rigor and clarity that characterize academic work Provides comprehensive and well-organized surveys of cutting-edge empirical and theoretical work covering an exceptionally wide range of areas and fields Topics include macroeconomic theories of growth and distribution; agent-based and stock-flow consistent models; financialization and Marxian price and value theory Investigates exploitation theory; trade theory; the role of expectations and ‘animal spirits’ on macroeconomic performance as well as empirical research in Marxian economics |
economics and computer science masters: Economic Dynamics, second edition John Stachurski, 2022-08-16 The second edition of a rigorous and example-driven introduction to topics in economic dynamics that emphasizes techniques for modeling dynamic systems. This text provides an introduction to the modern theory of economic dynamics, with emphasis on mathematical and computational techniques for modeling dynamic systems. Written to be both rigorous and engaging, the book shows how sound understanding of the underlying theory leads to effective algorithms for solving real-world problems. The material makes extensive use of programming examples to illustrate ideas, bringing to life the abstract concepts in the text. Key topics include algorithms and scientific computing, simulation, Markov models, and dynamic programming. Part I introduces fundamentals and part II covers more advanced material. This second edition has been thoroughly updated, drawing on recent research in the field. New for the second edition: “Programming-language agnostic” presentation using pseudocode. New chapter 1 covering conceptual issues concerning Markov chains such as ergodicity and stability. New focus in chapter 2 on algorithms and techniques for program design and high-performance computing. New focus on household problems rather than optimal growth in material on dynamic programming. Solutions to many exercises, code, and other resources available on a supplementary website. |
economics and computer science masters: Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Policy and Global Affairs, Board on Higher Education and Workforce, Committee on the Growth of Computer Science Undergraduate Enrollments, 2018-04-28 The field of computer science (CS) is currently experiencing a surge in undergraduate degree production and course enrollments, which is straining program resources at many institutions and causing concern among faculty and administrators about how best to respond to the rapidly growing demand. There is also significant interest about what this growth will mean for the future of CS programs, the role of computer science in academic institutions, the field as a whole, and U.S. society more broadly. Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments seeks to provide a better understanding of the current trends in computing enrollments in the context of past trends. It examines drivers of the current enrollment surge, relationships between the surge and current and potential gains in diversity in the field, and the potential impacts of responses to the increased demand for computing in higher education, and it considers the likely effects of those responses on students, faculty, and institutions. This report provides recommendations for what institutions of higher education, government agencies, and the private sector can do to respond to the surge and plan for a strong and sustainable future for the field of CS in general, the health of the institutions of higher education, and the prosperity of the nation. |
economics and computer science masters: Free Trade Doesn't Work: What Should Replace It and Why, 2011 Edition Barrister and Professor of International Commercial Law Ian Fletcher, Ian Fletcher, 2011-03-01 Are you wondering how Americans can compete with nations like China? Are you wondering how, if they can offshore call centers, computer programming, and accounting, there will be any good jobs left they can't offshore? Are you wondering how America can keep importing and running up debt without going bankrupt? Are you wondering how America can be a powerful nation without an industrial base? Are you wondering why the politicians keep denying all of these problems? Are you wondering whether the economics you learned in school and hear on TV is really valid? Are you wondering who you can trust? This very readable book is aimed at both ordinary concerned citizens and people with a bit of sophistication about economics. It is a systematic examination of why free trade is slowly bleeding America's economy to death and what can be done about it. It explains in detail why the standard economic arguments free traders use all the time are false, and what kind of economic ideas - well within the grasp of the average American - justify protectionism instead. It examines the history and politics of free trade and explains how America came to adopt its present disastrous free trade policy. It looks at the breakdown of specific industries and how we can rebuild them and bring millions of high-paying jobs back to this country. It examines what's wrong with NAFTA, CAFTA, the WTO, and the proposed Trans-Pacific Partnership. It is sharply critical of the current establishment, but from a bipartisan point of view, so it should satisfy progressives, conservatives, and everyone in between. Unlike many past critiques of free trade, it is economically-literate; it also explains New Trade Theory, the hot new area of economics that critiques free trade. |
economics and computer science masters: Graduate STEM Education for the 21st Century National Academies of Sciences, Engineering, and Medicine, Policy and Global Affairs, Board on Higher Education and Workforce, Committee on Revitalizing Graduate STEM Education for the 21st Century, 2018-09-21 The U.S. system of graduate education in science, technology, engineering, and mathematics (STEM) has served the nation and its science and engineering enterprise extremely well. Over the course of their education, graduate students become involved in advancing the frontiers of discovery, as well as in making significant contributions to the growth of the U.S. economy, its national security, and the health and well-being of its people. However, continuous, dramatic innovations in research methods and technologies, changes in the nature and availability of work, shifts in demographics, and expansions in the scope of occupations needing STEM expertise raise questions about how well the current STEM graduate education system is meeting the full array of 21st century needs. Indeed, recent surveys of employers and graduates and studies of graduate education suggest that many graduate programs do not adequately prepare students to translate their knowledge into impact in multiple careers. Graduate STEM Education for the 21st Century examines the current state of U.S. graduate STEM education. This report explores how the system might best respond to ongoing developments in the conduct of research on evidence-based teaching practices and in the needs and interests of its students and the broader society it seeks to serve. This will be an essential resource for the primary stakeholders in the U.S. STEM enterprise, including federal and state policymakers, public and private funders, institutions of higher education, their administrators and faculty, leaders in business and industry, and the students the system is intended to educate. |
economics and computer science masters: Differential Equations and Numerical Analysis Valarmathi Sigamani, John J. H. Miller, Ramanujam Narasimhan, Paramasivam Mathiazhagan, Franklin Victor, 2016-08-18 This book offers an ideal introduction to singular perturbation problems, and a valuable guide for researchers in the field of differential equations. It also includes chapters on new contributions to both fields: differential equations and singular perturbation problems. Written by experts who are active researchers in the related fields, the book serves as a comprehensive source of information on the underlying ideas in the construction of numerical methods to address different classes of problems with solutions of different behaviors, which will ultimately help researchers to design and assess numerical methods for solving new problems. All the chapters presented in the volume are complemented by illustrations in the form of tables and graphs. |
economics and computer science masters: Shimomuran Economics and The Rise of The Tokyo Consensus George Tait Edwards, 2014-06-25 The Japanese acknowledge that Dr Osamu Shimomura is their most influential post-war economist but his works and his economic model of Japan with its key modification of the Keynesian investment-saving equilibrium condition to create an exploding economy, seems to be virtually unknown in the economics departments of Western universities. This book traces the timeline of the development of Investment Credit Creation economics - the economics understanding which has produced explosive economic growth - from its apparent beginning in FDR's USA during 1938-44 through the adoption of almost identical measures in post war Japan, with the active involvement of Dr Osamu Shimomura, and then the transfer of that new system to post-rapprochement China after 1972. In the view of the author, the Tokyo Consensus nations - China, Japan, South Korea and Taiwan - are using and continue to use the mindset of Shimomuran Economics to achieve great economic advantages and the West now needs to learn what part of Asia knows. |
economics and computer science masters: Lucky Bastards of the 20th Century George Tait Edwards, 2014-11-23 This book sets out the creation and spread of the new economic technology of explosive economic development from its beginnings in Frank Delano Roosevelt's USA from 1938-1944 and its subsequent adoption by Japan from 1946-1985 and its spread to the China sea economies of South Korea, Taiwan and China. The book also covers the reaction of British politicians, businessmen and bankers to this new development and the circumstances around the adoption of the neoclassical economics which is resulting in the continual relative failure of the Western economies. This book sets out a more useful economics which is currently being practiced by all of the China Sea economies. |
economics and computer science masters: Cracking the PM Interview Gayle Laakmann McDowell, Jackie Bavaro, 2013 How many pizzas are delivered in Manhattan? How do you design an alarm clock for the blind? What is your favorite piece of software and why? How would you launch a video rental service in India? This book will teach you how to answer these questions and more. Cracking the PM Interview is a comprehensive book about landing a product management role in a startup or bigger tech company. Learn how the ambiguously-named PM (product manager / program manager) role varies across companies, what experience you need, how to make your existing experience translate, what a great PM resume and cover letter look like, and finally, how to master the interview: estimation questions, behavioral questions, case questions, product questions, technical questions, and the super important pitch. |
economics and computer science masters: Getting a PhD in Economics Stuart J. Hillmon, 2014-02-13 Considering a graduate degree in economics? Good choice: the twenty-first-century financial crisis and recession have underscored the relevance of experts who know how the economy works, should work, and could work. However, Ph.D. programs in economics are extremely competitive, with a high rate of attrition and a median time of seven years to completion. Also, economic professions come in many shapes and sizes, and while a doctoral degree is crucial training for some, it is less beneficial for others. How do you know whether a Ph.D. in economics is for you? How do you choose the right program—and how do you get the right program to choose you? And once you've survived years of rigorous and specialized training, how do you turn your degree into a lifelong career and meaningful vocation? Getting a Ph.D. in Economics is the first manual designed to meet the specific needs of aspiring and matriculating graduate students of economics. With the perspective of a veteran, Stuart J. Hillmon walks the reader though the entire experience—from the Ph.D. admissions process to arduous first-year coursework and qualifying exams to armoring up for the volatile job market. Hillmon identifies the pitfalls at each stage and offers no-holds-barred advice on how to navigate them. Honest, hard-hitting, and at times hilarious, this insider insight will equip students and prospective students with the tools to make the most of their graduate experience and to give them an edge in an increasingly competitive field. |
economics and computer science masters: Economic and Financial Modeling with Mathematica® Hal R. Varian, 2013-11-21 Mathematica is a computer program (software) for doing symbolic, numeric and graphical analysis of mathematical problems. In the hands of economists, financial analysts and other professionals in econometrics and the quantitative sector of economic and financial modeling, it can be an invaluable tool for modeling and simulation on a large number of issues and problems, besides easily grinding out numbers, doing statistical estimations and rendering graphical plots and visuals. Mathematica enables these individuals to do all of this in a unified environment. This book's main use is that of an applications handbook. Modeling in Economics and Finance with Mathematica is a compilation of contributed papers prepared by experienced, hands on users of the Mathematica program. They come from |
economics and computer science masters: Java Programming Ralph Bravaco, Shai Simonson, 2009-02-01 Java Programming, From The Ground Up, with its flexible organization, teaches Java in a way that is refreshing, fun, interesting and still has all the appropriate programming pieces for students to learn. The motivation behind this writing is to bring a logical, readable, entertaining approach to keep your students involved. Each chapter has a Bigger Picture section at the end of the chapter to provide a variety of interesting related topics in computer science. The writing style is conversational and not overly technical so it addresses programming concepts appropriately. Because of the flexibile organization of the text, it can be used for a one or two semester introductory Java programming class, as well as using Java as a second language. The text contains a large variety of carefully designed exercises that are more effective than the competition. |
economics and computer science masters: Zero to One Blake Masters, Peter Thiel, 2014-09-18 WHAT VALUABLE COMPANY IS NOBODY BUILDING? The next Bill Gates will not build an operating system. The next Larry Page or Sergey Brin won’t make a search engine. If you are copying these guys, you aren’t learning from them. It’s easier to copy a model than to make something new: doing what we already know how to do takes the world from 1 to n, adding more of something familiar. Every new creation goes from 0 to 1. This book is about how to get there. ‘Peter Thiel has built multiple breakthrough companies, and Zero to One shows how.’ ELON MUSK, CEO of SpaceX and Tesla ‘This book delivers completely new and refreshing ideas on how to create value in the world.’ MARK ZUCKERBERG, CEO of Facebook ‘When a risk taker writes a book, read it. In the case of Peter Thiel, read it twice. Or, to be safe, three times. This is a classic.’ NASSIM NICHOLAS TALEB, author of The Black Swan |
economics and computer science masters: Computerworld , 1987-11-30 For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network. |
economics and computer science masters: Papers Available Foreign-Area Research Documentation Center, 1967 |
economics and computer science masters: Colleges That Create Futures Princeton Review, 2016-05-10 KICK-START YOUR CAREER WITH THE RIGHT ON-CAMPUS EXPERIENCE! When it comes to getting the most out of college, the experiences you have outside the classroom are just as important as what you study. Colleges That Create Futures looks beyond the usual “best of” college lists to highlight 50 schools that empower students to discover practical, real-world applications for their talents and interests. The schools in this book feature distinctive research, internship, and hands-on learning programs—all the info you need to help find a college where you can parlay your passion into a successful post-college career. Inside, You'll Find: • In-depth profiles covering career services, internship support, student group activity, alumni satisfaction, noteworthy facilities and programs, and more • Candid assessments of each school’s academics from students, current faculty, and alumni • Unique hands-on learning opportunities for students across majors • Testimonials on career prep from alumni in business, education, law, and much more *************************** What makes Colleges That Create Futures important? You've seen the headlines—lately the news has been full of horror stories about how the college educational system has failed many recent grads who leave school with huge debt, no job prospects, and no experience in the working world. Colleges That Create Futures identifies schools that don't fall into this trap but instead prepare students for successful careers! How are the colleges selected? Schools are selected based on survey results on career services, grad school matriculation, internship support, student group and government activity, alumni activity and salaries, and noteworthy facilities and programs. |
economics and computer science masters: Big Data Processing Using Spark in Cloud Mamta Mittal, Valentina E. Balas, Lalit Mohan Goyal, Raghvendra Kumar, 2018-06-16 The book describes the emergence of big data technologies and the role of Spark in the entire big data stack. It compares Spark and Hadoop and identifies the shortcomings of Hadoop that have been overcome by Spark. The book mainly focuses on the in-depth architecture of Spark and our understanding of Spark RDDs and how RDD complements big data’s immutable nature, and solves it with lazy evaluation, cacheable and type inference. It also addresses advanced topics in Spark, starting with the basics of Scala and the core Spark framework, and exploring Spark data frames, machine learning using Mllib, graph analytics using Graph X and real-time processing with Apache Kafka, AWS Kenisis, and Azure Event Hub. It then goes on to investigate Spark using PySpark and R. Focusing on the current big data stack, the book examines the interaction with current big data tools, with Spark being the core processing layer for all types of data. The book is intended for data engineers and scientists working on massive datasets and big data technologies in the cloud. In addition to industry professionals, it is helpful for aspiring data processing professionals and students working in big data processing and cloud computing environments. |
economics and computer science masters: New Paradigm in Macroeconomics R. Werner, 2005-03-21 Modern mainstream economics is attracting an increasing number of critics of its high degree of abstraction and lack of relevance to economic reality. Economists are calling for a better reflection of the reality of imperfect information, the role of banks and credit markets, the mechanisms of economic growth, the role of institutions and the possibility that markets may not clear. While it is one thing to find flaws in current mainstream economics, it is another to offer an alternative paradigm which, can explain as much as the old, but can also account for the many 'anomalies'. That is what this book attempts. Since one of the biggest empirical challenges to the 'old' paradigm has been raised by the second largest economy in the world - Japan - this book puts the proposed 'new paradigm' to the severe test of the Japanese macroeconomic reality. |
economics and computer science masters: Ultralearning Scott H. Young, 2019-08-06 Now a Wall Street Journal bestseller. Learn a new talent, stay relevant, reinvent yourself, and adapt to whatever the workplace throws your way. Ultralearning offers nine principles to master hard skills quickly. This is the essential guide to future-proof your career and maximize your competitive advantage through self-education. In these tumultuous times of economic and technological change, staying ahead depends on continual self-education—a lifelong mastery of fresh ideas, subjects, and skills. If you want to accomplish more and stand apart from everyone else, you need to become an ultralearner. The challenge of learning new skills is that you think you already know how best to learn, as you did as a student, so you rerun old routines and old ways of solving problems. To counter that, Ultralearning offers powerful strategies to break you out of those mental ruts and introduces new training methods to help you push through to higher levels of retention. Scott H. Young incorporates the latest research about the most effective learning methods and the stories of other ultralearners like himself—among them Benjamin Franklin, chess grandmaster Judit Polgár, and Nobel laureate physicist Richard Feynman, as well as a host of others, such as little-known modern polymath Nigel Richards, who won the French World Scrabble Championship—without knowing French. Young documents the methods he and others have used to acquire knowledge and shows that, far from being an obscure skill limited to aggressive autodidacts, ultralearning is a powerful tool anyone can use to improve their career, studies, and life. Ultralearning explores this fascinating subculture, shares a proven framework for a successful ultralearning project, and offers insights into how you can organize and exe - cute a plan to learn anything deeply and quickly, without teachers or budget-busting tuition costs. Whether the goal is to be fluent in a language (or ten languages), earn the equivalent of a college degree in a fraction of the time, or master multiple tools to build a product or business from the ground up, the principles in Ultralearning will guide you to success. |
economics and computer science masters: Debunking Economics Steve Keen, 2001-07-28 What is the score card for economics at the start of the new millennium? While there are many different schools of economic thought, it is the neo-classical school, with its alleged understanding and simplistic advocacy of the market, that has become equated in the public mind with economics. This book shows that virtually every aspect of conventional neo-classical economics' thinking is intellectually unsound. Steve Keen draws on an impressive array of advanced critical thinking. He constitutes a profound critique of the principle concepts, theories, and methodologies of the mainstream discipline. Keen raises grave doubts about economics' pretensions to established scientific status and its reliability as a guide to understanding the real world of economic life and its policy-making. |
economics and computer science masters: A Computational Approach to Statistical Learning Taylor Arnold, Michael Kane, Bryan W. Lewis, 2019-01-23 A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods. The text contains annotated code to over 80 original reference functions. These functions provide minimal working implementations of common statistical learning algorithms. Every chapter concludes with a fully worked out application that illustrates predictive modeling tasks using a real-world dataset. The text begins with a detailed analysis of linear models and ordinary least squares. Subsequent chapters explore extensions such as ridge regression, generalized linear models, and additive models. The second half focuses on the use of general-purpose algorithms for convex optimization and their application to tasks in statistical learning. Models covered include the elastic net, dense neural networks, convolutional neural networks (CNNs), and spectral clustering. A unifying theme throughout the text is the use of optimization theory in the description of predictive models, with a particular focus on the singular value decomposition (SVD). Through this theme, the computational approach motivates and clarifies the relationships between various predictive models. Taylor Arnold is an assistant professor of statistics at the University of Richmond. His work at the intersection of computer vision, natural language processing, and digital humanities has been supported by multiple grants from the National Endowment for the Humanities (NEH) and the American Council of Learned Societies (ACLS). His first book, Humanities Data in R, was published in 2015. Michael Kane is an assistant professor of biostatistics at Yale University. He is the recipient of grants from the National Institutes of Health (NIH), DARPA, and the Bill and Melinda Gates Foundation. His R package bigmemory won the Chamber's prize for statistical software in 2010. Bryan Lewis is an applied mathematician and author of many popular R packages, including irlba, doRedis, and threejs. |
economics and computer science masters: Microeconometrics Steven Durlauf, L. Blume, 2016-06-07 Specially selected from The New Palgrave Dictionary of Economics 2nd edition, each article within this compendium covers the fundamental themes within the discipline and is written by a leading practitioner in the field. A handy reference tool. |
economics and computer science masters: Graduate Programs in the Humanities, Arts & Social Sciences 2015 (Grad 2) Peterson's, 2014-11-25 Peterson's Graduate Programs in the Humanities, Arts & Social Sciences 2015 contains details on more than 11,000 graduate programs of study across all relevant disciplines-including the arts and architecture, communications and media, psychology and counseling, political science and international affairs, economics, and sociology, anthropology, archaeology, and more. Informative data profiles include facts and figures on accreditation, degree requirements, application deadlines and contact information, financial support, faculty, and student body profiles. Two-page in-depth descriptions, written by featured institutions, offer complete details on specific graduate programs, schools, or departments as well as information on faculty research. Comprehensive directories list programs in this volume, as well as others in the graduate series. |
economics and computer science masters: Cybersecurity for Executives Gregory J. Touhill, C. Joseph Touhill, 2014-06-09 Practical guide that can be used by executives to make well-informed decisions on cybersecurity issues to better protect their business Emphasizes, in a direct and uncomplicated way, how executives can identify, understand, assess, and mitigate risks associated with cybersecurity issues Covers 'What to Do When You Get Hacked?' including Business Continuity and Disaster Recovery planning, Public Relations, Legal and Regulatory issues, and Notifications and Disclosures Provides steps for integrating cybersecurity into Strategy; Policy and Guidelines; Change Management and Personnel Management Identifies cybersecurity best practices that executives can and should use both in the office and at home to protect their vital information |
economics and computer science masters: Pakistan & Gulf Economist , 2008 |
economics and computer science masters: British Qualifications 2020 Kogan Page Editorial, 2019-12-03 Now in its 50th edition, British Qualifications 2020 is the definitive one-volume guide to every recognized qualification on offer in the United Kingdom. With an equal focus on both academic and professional vocational studies, this indispensable guide has full details of all institutions and organizations involved in the provision of further and higher education, making it the essential reference source for careers advisers, students, and employers. It also contains a comprehensive and up-to-date description of the structure of further and higher education in the UK, including an explanation of the most recent education reforms, providing essential context for the qualifications listed. British Qualifications 2020 is compiled and checked annually to ensure the highest currency and accuracy of this valuable information. Containing details on the professional vocational qualifications available from over 350 professional institutions and accrediting bodies, informative entries for all UK academic universities and colleges, and a full description of the current structural and legislative framework of academic and vocational education, it is the complete reference for lifelong learning and continuing professional development in the UK. |
economics and computer science masters: The Art of Data Science Roger D. Peng, Elizabeth Matsui, 2016-06-08 This book describes the process of analyzing data. The authors have extensive experience both managing data analysts and conducting their own data analyses, and this book is a distillation of their experience in a format that is applicable to both practitioners and managers in data science.--Leanpub.com. |
economics and computer science masters: Handbook of Computational Econometrics David A. Belsley, Erricos Kontoghiorghes, 2009-08-18 Handbook of Computational Econometrics examines the state of the art of computational econometrics and provides exemplary studies dealing with computational issues arising from a wide spectrum of econometric fields including such topics as bootstrapping, the evaluation of econometric software, and algorithms for control, optimization, and estimation. Each topic is fully introduced before proceeding to a more in-depth examination of the relevant methodologies and valuable illustrations. This book: Provides self-contained treatments of issues in computational econometrics with illustrations and invaluable bibliographies. Brings together contributions from leading researchers. Develops the techniques needed to carry out computational econometrics. Features network studies, non-parametric estimation, optimization techniques, Bayesian estimation and inference, testing methods, time-series analysis, linear and nonlinear methods, VAR analysis, bootstrapping developments, signal extraction, software history and evaluation. This book will appeal to econometricians, financial statisticians, econometric researchers and students of econometrics at both graduate and advanced undergraduate levels. |
economics and computer science masters: Data Science for Economics and Finance Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana, 2021 This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications. |
economics and computer science masters: Database Systems: The Complete Book Hector Garcia-Molina, 2008 |
economics and computer science masters: ICICKM 2016 - Proceeding of the 13th International Conference on Intellectual Capital Knowledge Management & Organisational Learning Scott Erikson, Helen Rothberg, Proceedings of the 13th International Conference on Intellectual Capital Knowledge Management & Organisational Learning held at Ithaca College, NY, USA on 16-17 Septemeber 2016 |
economics and computer science masters: Mathematics, Statistics & Computer Science Careers Research and Advisory Centre (Cambridge, England), 2007-04-15 Popular among university applicants and their advisers alike, these guides presents a wide range of information on a specific degree discipline, laid out in tabular format enabling at-a-glance course comparison. |
economics and computer science masters: Handbook of Research on Information Communication Technology Policy: Trends, Issues and Advancements Adomi, Esharenana E., 2010-07-31 The Handbook of Research on Information Communication Technology Policy: Trends, Issues and Advancements provides a comprehensive and reliable source of information on current developments in information communication technologies. This source includes ICT policies; a guide on ICT policy formulation, implementation, adoption, monitoring, evaluation and application; and background information for scholars and researchers interested in carrying out research on ICT policies. |
economics and computer science masters: The Economics of Fintech Sahoko Kaji, Teruo Nakatsuma, Masahiro Fukuhara, 2021-02-20 This book is a collection of academic lectures given on fintech, a topic that has been written about extensively but only from a business or technological point of view. In contrast to other publications on the subject, this book shows the reader how fintech should be understood in relation to economics, financial theory, policy, and law. It provides introductory explanations on fintech-related concepts and instruments such as blockchains, crypto assets, machine learning, high-frequency trading, and AI. The collected lectures also point to surrounding issues including start-ups, monetary policy, asset management, cyber and other security, and stability of financial systems. The authors include professors, a former central bank official, current officials at Japan’s Financial Services Authority, a lawyer, the former dean of the Asian Development Bank Institute, and private sector professionals at the frontline of fintech. The book is most suitable for those both within and outside of academia who are beginning to learn about fintech and wish to successfully take part in the revolution that is certain to have wide-ranging effects on our economy and society. |
economics and computer science masters: Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics Khosrow-Pour, D.B.A., Mehdi, 2018-10-19 From cloud computing to data analytics, society stores vast supplies of information through wireless networks and mobile computing. As organizations are becoming increasingly more wireless, ensuring the security and seamless function of electronic gadgets while creating a strong network is imperative. Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics highlights the challenges associated with creating a strong network architecture in a perpetually online society. Readers will learn various methods in building a seamless mobile computing option and the most effective means of analyzing big data. This book is an important resource for information technology professionals, software developers, data analysts, graduate-level students, researchers, computer engineers, and IT specialists seeking modern information on emerging methods in data mining, information technology, and wireless networks. |
economics and computer science masters: Research in Biological and Medical Sciences Walter Reed Army Institute of Research, 1973 |
economics and computer science masters: Higher Education Opportunity Act United States, 2008 |
economics and computer science masters: Coding the Matrix Philip N. Klein, 2013-07 An engaging introduction to vectors and matrices and the algorithms that operate on them, intended for the student who knows how to program. Mathematical concepts and computational problems are motivated by applications in computer science. The reader learns by doing, writing programs to implement the mathematical concepts and using them to carry out tasks and explore the applications. Examples include: error-correcting codes, transformations in graphics, face detection, encryption and secret-sharing, integer factoring, removing perspective from an image, PageRank (Google's ranking algorithm), and cancer detection from cell features. A companion web site, codingthematrix.com provides data and support code. Most of the assignments can be auto-graded online. Over two hundred illustrations, including a selection of relevant xkcd comics. Chapters: The Function, The Field, The Vector, The Vector Space, The Matrix, The Basis, Dimension, Gaussian Elimination, The Inner Product, Special Bases, The Singular Value Decomposition, The Eigenvector, The Linear Program A new edition of this text, incorporating corrections and an expanded index, has been issued as of September 4, 2013, and will soon be available on Amazon. |
economics and computer science masters: The Ontology and Function of Money Leonidas Zelmanovitz, 2015-12-24 The central thesis of the book is that in order to evaluate monetary policy, one should have a clear idea about the characteristics and functions of money as it evolved and in its current form. That is to say that without an understanding about how money evolved as a social institution, what it is today, and what is possible to know about monetary phenomena, it is not possible to develop a meaningful ethics for money; or, to put it differently, to find what kind of institutional arrangements may be deemed good money for the kind of society we are in. And without that, one faces severe limitations in offering a normative position about monetary policy. The project is, consequently, an interdisciplinary one. Its main thread is an inquiry of moral philosophy and its foundations, as applied to money, in order to create tools to evaluate public policy in regard to money, banking, and public finance; and the views of different schools on those topics are discussed. The book is organized in parts on metaphysics, epistemology, ethics and politics of money to facilitate the presentation of all the subjects discussed to an educated readership (and not necessarily just one with a background in economics). |
Economics - Wikipedia
Economics (/ ˌ ɛ k ə ˈ n ɒ m ɪ k s, ˌ iː k ə-/) [1] [2] is a behavioral science that studies the production, distribution, and consumption of goods and services. [3] [4]Economics focuses on …
Economics Defined With Types, Indicators, and Systems
Jun 28, 2024 · Economics is a branch of the social sciences focused on the production, distribution, and consumption of goods and services. Microeconomics is a type of economics …
Economics | Definition, History, Examples, Types, & Facts
May 12, 2025 · economics, social science that seeks to analyze and describe the production, distribution, and consumption of wealth. In the 19th century economics was the hobby of …
The A to Z of economics | The Economist
In economics, a transfer is a payment of money without any goods or services being exchanged in return. Governments make transfers in the form of welfare benefits but individuals make …
What is Economics? - American Economic Association
Economics is a broad discipline that helps us understand historical trends, interpret today’s headlines, and make predictions about the coming years. Economics ranges from the very …
What is Economics? Definition of Economics, Economics …
Economics Economics is the study of scarcity and how it affects the use of resources, the production of goods and services, the growth of production and well-being over time, and …
What is Economics? - Northwestern University
Economics is the study of how we make choices in the face of scarcity and how those choices motivate behavior. THE FIELD OF ECONOMICS. As individuals, families, and nations, we …
What Is Economics? - Econlib
Economics is the study of given ends and scarce means. Lionel Robbins, biography, from the Concise Encyclopedia of Economics: Robbins’ most famous book was An Essay on the …
What is Economics - Definition, Methods, Types - Research Method
Mar 26, 2024 · Economics. Economics is a social science that analyzes how people make decisions to satisfy their wants and needs, given limited resources. It explores the processes …
What is Economics - Definitions, Criticisms. Modern Economic …
Instead, economics was merely used to analyze the action of individuals, using stylized mathematical models. Modern Definition of Economics The modern definition, attributed to the …
Economics - Wikipedia
Economics (/ ˌ ɛ k ə ˈ n ɒ m ɪ k s, ˌ iː k ə-/) [1] [2] is a behavioral science that studies the production, distribution, and consumption of goods and services. [3] [4]Economics focuses on the behaviour …
Economics Defined With Types, Indicators, and Systems
Jun 28, 2024 · Economics is a branch of the social sciences focused on the production, distribution, and consumption of goods and services. Microeconomics is a type of economics that is …
Economics | Definition, History, Examples, Types, & Facts
May 12, 2025 · economics, social science that seeks to analyze and describe the production, distribution, and consumption of wealth. In the 19th century economics was the hobby of …
The A to Z of economics | The Economist
In economics, a transfer is a payment of money without any goods or services being exchanged in return. Governments make transfers in the form of welfare benefits but individuals make …
What is Economics? - American Economic Association
Economics is a broad discipline that helps us understand historical trends, interpret today’s headlines, and make predictions about the coming years. Economics ranges from the very small …
What is Economics? Definition of Economics, Economics …
Economics Economics is the study of scarcity and how it affects the use of resources, the production of goods and services, the growth of production and well-being over time, and many …
What is Economics? - Northwestern University
Economics is the study of how we make choices in the face of scarcity and how those choices motivate behavior. THE FIELD OF ECONOMICS. As individuals, families, and nations, we confront …
What Is Economics? - Econlib
Economics is the study of given ends and scarce means. Lionel Robbins, biography, from the Concise Encyclopedia of Economics: Robbins’ most famous book was An Essay on the Nature …
What is Economics - Definition, Methods, Types - Research Method
Mar 26, 2024 · Economics. Economics is a social science that analyzes how people make decisions to satisfy their wants and needs, given limited resources. It explores the processes behind …
What is Economics - Definitions, Criticisms. Modern Economic …
Instead, economics was merely used to analyze the action of individuals, using stylized mathematical models. Modern Definition of Economics The modern definition, attributed to the …