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| du data science masters: Foundations of Data Science Avrim Blum, John Hopcroft, Ravindran Kannan, 2020-01-23 This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data. |
| du data science masters: Data Science and Machine Learning Dirk P. Kroese, Zdravko Botev, Thomas Taimre, Radislav Vaisman, 2019-11-20 Focuses on mathematical understanding Presentation is self-contained, accessible, and comprehensive Full color throughout Extensive list of exercises and worked-out examples Many concrete algorithms with actual code |
| du data science masters: “Masters” and “Natives” Svetlana Gorshenina, Philippe Bornet, Michel E. Fuchs, Claude Rapin, 2019-10-08 The book focuses on the relational dynamic between “masters” and “natives” in the construction of scholarly narratives about the past, in the fields of archeology, history or the study of religions. Reconsidering the role of subaltern actors that recent postcolonial studies have tended to ignore, the present book emphasizes the complex relations between representatives of the imperial power and local actors, and analyzes how masters and natives (and their respective cultures) have shaped each other in the course of the interaction. Through various vectors of intercultural transfer and knowledge exchange, through the circulation of ideas, techniques and human beings, new visions of the past of extra-European regions emerged, as did collective memories resulting from various kinds of appropriations. In this framework, the most important question is how these dynamic processes determined collective memories of the past in plural (post-)colonial – in particular, Asian – worlds, participating to the construction of national/imperial/local identities and to the reinvention of traditions. |
| du data science masters: All of Statistics Larry Wasserman, 2013-12-11 Taken literally, the title All of Statistics is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data. |
| du data science masters: Text as Data Justin Grimmer, Margaret E. Roberts, Brandon M. Stewart, 2022-03-29 A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using text—representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research. Bridging many divides—computer science and social science, the qualitative and the quantitative, and industry and academia—Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain. Overview of how to use text as data Research design for a world of data deluge Examples from across the social sciences and industry |
| du data science masters: Presentation Zen Garr Reynolds, 2009-04-15 FOREWORD BY GUY KAWASAKI Presentation designer and internationally acclaimed communications expert Garr Reynolds, creator of the most popular Web site on presentation design and delivery on the Net — presentationzen.com — shares his experience in a provocative mix of illumination, inspiration, education, and guidance that will change the way you think about making presentations with PowerPoint or Keynote. Presentation Zen challenges the conventional wisdom of making slide presentations in today’s world and encourages you to think differently and more creatively about the preparation, design, and delivery of your presentations. Garr shares lessons and perspectives that draw upon practical advice from the fields of communication and business. Combining solid principles of design with the tenets of Zen simplicity, this book will help you along the path to simpler, more effective presentations. |
| du data science masters: Managing Global Telecommunications William F. Averyt, Anne C. Averyt, University of Vermont. School of Business Administration, 1988 |
| du data science masters: Masters Theses in the Pure and Applied Sciences W. H. Shafer, 2012-12-06 Masters Theses in the Pure and Applied Sciences was first conceived, published, and dis seminated by the Center for Information and Numerical Data Analysis and Synthesis (CINDAS) * at Purdue University in 1957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dissemination phases of the ac tivity were transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the thought that such an arrangement would be more beneficial to the academic and general scientific and technical community. After five years of this joint undertaking we had concluded that it was in the interest of all concerned if the printing and distribution of the volume were handled by an international publishing. house to assure improved service and broader dissemination. Hence, starting with Volume 18, Masters Theses in the Pure and Applied Sciences has been disseminated on a worldwide basis by Plenum Publishing Corporation of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 25 (thesis year 1980) a total of 10,308 theses titles from 27 Canadian and 214 United States universities. We are sure that this broader base for theses titles reported will greatly enhance the value of this important annual reference work. While Volume 25 reports theses submitted in 1980, on occasion, certain universities do report theses submitted in previous years but not reported at the time. |
| du data science masters: Masters Theses in the Pure and Applied Sciences Wade H. Shafer, 2012-12-06 Masters Theses in the Pure and Applied Sciences was first conceived, published, SIld disseminated by the Center for Information and Numerical Data Analysis and Synthesis (CINDAS) * at Purdue University in 1957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dissemination phases of the activity were transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the thought that such an arrangement would be more beneficial to the academic and general scientific and technical community. After five years of this joint undertaking we had concluded that it was in the interest of all con cerned if the printing and distribution of the volumes were handled by an interna and broader dissemination. tional publishing house to assure improved service Hence, starting with Volume 18, Masters Theses in the Pure and Applied Sciences has been disseminated on a worldwide basis by Plenum Publishing Cor poration of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 30 (thesis year 1985) a total of 12,400 theses titles from 26 Canadian and 186 United States universities. We are sure that this broader base for these titles reported will greatly enhance the value of this important annual reference work. |
| du data science masters: A Passion for Teaching Christopher Day, 2004 This book concentrates on the 'heart' of teaching; teachers' moral purposes, the nature of care, emotional commitment and motivation - celebrating and acknowledging the best teaching and the best teachers. |
| du data science masters: Competencies and (Global) Talent Management Carolina Machado, 2017-02-21 This book covers the main issues on the study of competencies and talent management in modern and competitive organizations. The chapters show how organizations around the world are facing (global) talent management challenges and give the reader information on the latest research activity related to that. Innovative theories and strategies are reported in this book, which provides an interdisciplinary exchange of information, ideas and opinions about the workplace challenges. |
| du data science masters: Developing Analytic Talent Vincent Granville, 2014-03-24 Learn what it takes to succeed in the the most in-demand tech job Harvard Business Review calls it the sexiest tech job of the 21st century. Data scientists are in demand, and this unique book shows you exactly what employers want and the skill set that separates the quality data scientist from other talented IT professionals. Data science involves extracting, creating, and processing data to turn it into business value. With over 15 years of big data, predictive modeling, and business analytics experience, author Vincent Granville is no stranger to data science. In this one-of-a-kind guide, he provides insight into the essential data science skills, such as statistics and visualization techniques, and covers everything from analytical recipes and data science tricks to common job interview questions, sample resumes, and source code. The applications are endless and varied: automatically detecting spam and plagiarism, optimizing bid prices in keyword advertising, identifying new molecules to fight cancer, assessing the risk of meteorite impact. Complete with case studies, this book is a must, whether you're looking to become a data scientist or to hire one. Explains the finer points of data science, the required skills, and how to acquire them, including analytical recipes, standard rules, source code, and a dictionary of terms Shows what companies are looking for and how the growing importance of big data has increased the demand for data scientists Features job interview questions, sample resumes, salary surveys, and examples of job ads Case studies explore how data science is used on Wall Street, in botnet detection, for online advertising, and in many other business-critical situations Developing Analytic Talent: Becoming a Data Scientist is essential reading for those aspiring to this hot career choice and for employers seeking the best candidates. |
| du data science masters: Graduate Programs in Engineering & Applied Sciences 2015 (Grad 5) Peterson's, 2014-11-11 Peterson's Graduate Programs in Engineering & Applied Sciences 2015 contains comprehensive profiles of more than 3,850 graduate programs in all relevant disciplines-including aerospace/aeronautical engineering, agricultural engineering & bioengineering, chemical engineering, civil and environmental engineering, computer science and information technology, electrical and computer engineering, industrial engineering, telecommunications, and more. Two-page in-depth descriptions, written by featured institutions, offer complete details on a specific graduate program, school, or department as well as information on faculty research. Comprehensive directories list programs in this volume, as well as others in the Peterson's graduate series. |
| du data science masters: Authentic Happiness Martin Seligman, 2011-01-11 In this important, entertaining book, one of the world's most celebrated psychologists, Martin Seligman, asserts that happiness can be learned and cultivated, and that everyone has the power to inject real joy into their lives. In Authentic Happiness, he describes the 24 strengths and virtues unique to the human psyche. Each of us, it seems, has at least five of these attributes, and can build on them to identify and develop to our maximum potential. By incorporating these strengths - which include kindness, originality, humour, optimism, curiosity, enthusiasm and generosity -- into our everyday lives, he tells us, we can reach new levels of optimism, happiness and productivity. Authentic Happiness provides a variety of tests and unique assessment tools to enable readers to discover and deploy those strengths at work, in love and in raising children. By accessing the very best in ourselves, we can improve the world around us and achieve new and lasting levels of authentic contentment and joy. |
| du data science masters: DAMA-DMBOK Dama International, 2017 Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles: Data is an asset with unique properties; The value of data can be and should be expressed in economic terms; Managing data means managing the quality of data; It takes metadata to manage data; It takes planning to manage data; Data management is cross-functional and requires a range of skills and expertise; Data management requires an enterprise perspective; Data management must account for a range of perspectives; Data management is data lifecycle management; Different types of data have different lifecycle requirements; Managing data includes managing risks associated with data; Data management requirements must drive information technology decisions; Effective data management requires leadership commitment. |
| du data science masters: Masters Theses in the Pure and Applied Sciences Wade Shafer, 2012-12-06 Masters Theses in the Pure and Applied Sciences was first conceived, published, and disseminated by the Center for Information and Numerical Data Analysis and Synthesis (CINDAS) * at Purdue University in 1957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dissemination phases of the activity were transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the thought that such an arrangement would be more beneficial to the academic and general scientific and technical community. After five years of this joint undertaking we had concluded that it was in the interest of all con cerned if the printing and distribution of the volume were handled by an international publishing house to assure improved service and broader dissemination. Hence, starting with Volume 18, Masters Theses in the Pure and Applied Sciences has been disseminated on a worldwide basis by Plenum Publishing Cor poration of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 26 (thesis year 1981) a total of 11 ,048 theses titles from 24 Canadian and 21 8 United States universities. We are sure that this broader base for these titles reported will greatly enhance the value of this important annual reference work. While Volume 26 reports theses submitted in 1981, on occasion, certain univer sities do report theses submitted in previous years but not reported at the time. |
| du data science masters: Healthcare Informatics and Analytics Madjid Tavana, Amir Hossein Ghapanchi, Amir Talaei-Khoei, 2014 This book introduces the latest research concerning the innovative implementation of information technology and data analysis in the healthcare field, highlighting current concerns and recent advances in patient care and healthcare delivery--Provided by publisher. |
| du data science masters: Python for Everybody Charles R. Severance, 2016-04-09 Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software.This book uses the Python 3 language. The earlier Python 2 version of this book is titled Python for Informatics: Exploring Information.There are free downloadable electronic copies of this book in various formats and supporting materials for the book at www.pythonlearn.com. The course materials are available to you under a Creative Commons License so you can adapt them to teach your own Python course. |
| du data science masters: White Awareness Judy H. Katz, 1978 Stage 1. |
| du data science masters: Data Science for Business and Decision Making Luiz Paulo Favero, Patricia Belfiore, 2019-04-11 Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software®, and IBM SPSS Statistics Software®. - Combines statistics and operations research modeling to teach the principles of business analytics - Written for students who want to apply statistics, optimization and multivariate modeling to gain competitive advantages in business - Shows how powerful software packages, such as SPSS and Stata, can create graphical and numerical outputs |
| du data science masters: Women in Turkey Gamze Çavdar, Yavuz Yaşar, 2019-05-17 Winner of the 2021 Suraj Mal and Shyama Devi Agarwal Book Prize This book provides a socio-economic examination of the status of women in contemporary Turkey, assessing how policies have combined elements of neoliberalism and Islamic conservatism. Using rich qualitative and quantitative analyses, Women in Turkey analyses the policies concerning women in the areas of employment, education and health and the fundamental transformation of the construction of gender since the early 2000s. Comparing this with the situation pre-2000, the authors argue that the reconstruction of gender is part of the reshaping of the state–society relations, the state–business relationship, and the cultural changes that have taken place across the country over the last two decades. Thus, the book situates the Turkish case within the broader context of international development of neoliberalism while paying close attention to its idiosyncrasies. Adopting a political economy perspective emphasizing the material sources of gender relations, this book will be useful to students and scholars of Middle Eastern politics, political Islam and Gender Studies. |
| du data science masters: Advanced Materials by Design , 1988 |
| du data science masters: Nanoelectronic Materials and Devices Christophe Labbé, Subhananda Chakrabarti, Gargi Raina, B. Bindu, 2017-11-27 This book gathers a collection of papers by international experts that were presented at the International Conference on NextGen Electronic Technologies (ICNETS2-2016). ICNETS2 encompassed six symposia covering all aspects of the electronics and communications domains, including relevant nano/micro materials and devices. Highlighting the latest research on nanoelectronic materials and devices, the book offers a valuable guide for researchers, practitioners and students working in the core areas of functional electronics nanomaterials, nanocomposites for energy application, sensing and high strength materials and simulation of novel device design structures for ultra-low power applications. |
| du data science masters: Too Big to Ignore Phil Simon, 2013-03-05 Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior. How do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer lies deeper than that. Individuals at these organizations have realized that they don't have to be Nate Silver to reap massive benefits from today's new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions. It's time to start thinking big. In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate. Too Big to Ignore explains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for chief executives, company owners, industry leaders, and business professionals. |
| du data science masters: Museums and Digital Culture Tula Giannini, Jonathan P. Bowen, 2019-05-06 This book explores how digital culture is transforming museums in the 21st century. Offering a corpus of new evidence for readers to explore, the authors trace the digital evolution of the museum and that of their audiences, now fully immersed in digital life, from the Internet to home and work. In a world where life in code and digits has redefined human information behavior and dominates daily activity and communication, ubiquitous use of digital tools and technology is radically changing the social contexts and purposes of museum exhibitions and collections, the work of museum professionals and the expectations of visitors, real and virtual. Moving beyond their walls, with local and global communities, museums are evolving into highly dynamic, socially aware and relevant institutions as their connections to the global digital ecosystem are strengthened. As they adopt a visitor-centered model and design visitor experiences, their priorities shift to engage audiences, convey digital collections, and tell stories through exhibitions. This is all part of crafting a dynamic and innovative museum identity of the future, made whole by seamless integration with digital culture, digital thinking, aesthetics, seeing and hearing, where visitors are welcomed participants. The international and interdisciplinary chapter contributors include digital artists, academics, and museum professionals. In themed parts the chapters present varied evidence-based research and case studies on museum theory, philosophy, collections, exhibitions, libraries, digital art and digital future, to bring new insights and perspectives, designed to inspire readers. Enjoy the journey! |
| du data science masters: Enterprise Architecture A to Z Daniel Minoli, 2008-06-19 Enterprise Architecture A to Z examines cost-saving trends in architecture planning, administration, and management. The text begins by evaluating the role of Enterprise Architecture planning and Service-Oriented Architecture (SOA) modeling. It provides an extensive review of the most widely-deployed architecture framework models, including The Open Group Architecture and Zachman Architectural Frameworks, as well as formal architecture standards. The first part of the text focuses on the upper layers of the architecture framework, while the second part focuses on the technology architecture. Additional coverage discusses Ethernet, WAN, Internet communication technologies, broadband, and chargeback models. |
| du data science masters: The Flower of Battle , 2018-07-12 The Flower of Battle is Colin Hatcher's translation of Fiore dei Liberi's art of combat from the early 15th century. The work included high-resolution images and English text laid out in the manner of the original. |
| du data science masters: Microplastics and Me Anna Du, 2020-02 Microplastics--the broken down byproduct of plastic items we toss out every day--are choking our oceans. But middle-schooler Anna Du is on the case! Now a top science fair winner, Anna shares her account of how she went from worrying about the environment to designing award-winning solutions. Writing for kids her own age, Anna alerts her readers to the threat of microplastics pollution and urges them to care about the environment. She leads them through the frustrating-yet-rewarding process of design, engineering, and invention. This book could inspire a generation of inventors and engineers! |
| du data science masters: Higher Education Opportunity Act United States, 2008 |
| du data science masters: Data Science Jobs Ann Rajaram, 2019-05-20 Land a high-paying $$$ DataScience job in 90 days or less! This book is the perfect guide for you, if you fall into any of these categories: * Looking to start a career in data science, but unsure where to start. * Tired of applying to dozens of jobs without getting a positive response and/or final job offer .* You recently completed a masters degree or bootcamp and need to quickly find a job. * Are you an experienced tech professional, but looking to pivot into analytics to boost your salary potential. The book will teach you proven successful strategies on: * Winning Profiles Turbocharge your resume and LinkedIn profile and start receiving interview calls from hiring managers. Let JOBS CHASE YOU, instead of the other way around! * LinkedIn - A dedicated chapter on LinkedIn that teaches you some creative (and SECRET) ways to leverage the site and identify high-paying jobs with low competition. * Niche sites - A full list of niche job boards that other candidates have overlooked. These sites have high-$ jobs but lesser competition than the popular job search sites. Upwork - Contrary to popular opinion, Upwork can help you make $$$ in data science jobs. Learn proven techniques to help you bag contracts and start earning, as quickly as next week. * 100+ interview questions asked in real-life data scientist interviews. * Other learner resources and much more...Unlike most job search books that are written by recruiters or professors, this book is written by a senior data science professional, who rose quickly from analyst to managerial roles. She has attended interviews of her own, and knows clearly the frustrations (and at times, hopelessness) of the job search process. Author is a seasoned analytics professional who has worked in Top Firms like NASDAQ, BlackRock, etc. The systems in this book have successfully helped dozens of job seekers and will work effectively for you too! Read on to launch your dream career! Note, this book is deliberately kept short and precise, so you can quickly read through and start applying these principles, instead of sifting through 500 pages of fluff. |
| du data science masters: Convex Analysis and Monotone Operator Theory in Hilbert Spaces Heinz H. Bauschke, Patrick L. Combettes, 2017-02-28 This reference text, now in its second edition, offers a modern unifying presentation of three basic areas of nonlinear analysis: convex analysis, monotone operator theory, and the fixed point theory of nonexpansive operators. Taking a unique comprehensive approach, the theory is developed from the ground up, with the rich connections and interactions between the areas as the central focus, and it is illustrated by a large number of examples. The Hilbert space setting of the material offers a wide range of applications while avoiding the technical difficulties of general Banach spaces. The authors have also drawn upon recent advances and modern tools to simplify the proofs of key results making the book more accessible to a broader range of scholars and users. Combining a strong emphasis on applications with exceptionally lucid writing and an abundance of exercises, this text is of great value to a large audience including pure and applied mathematicians as well as researchers in engineering, data science, machine learning, physics, decision sciences, economics, and inverse problems. The second edition of Convex Analysis and Monotone Operator Theory in Hilbert Spaces greatly expands on the first edition, containing over 140 pages of new material, over 270 new results, and more than 100 new exercises. It features a new chapter on proximity operators including two sections on proximity operators of matrix functions, in addition to several new sections distributed throughout the original chapters. Many existing results have been improved, and the list of references has been updated. Heinz H. Bauschke is a Full Professor of Mathematics at the Kelowna campus of the University of British Columbia, Canada. Patrick L. Combettes, IEEE Fellow, was on the faculty of the City University of New York and of Université Pierre et Marie Curie – Paris 6 before joining North Carolina State University as a Distinguished Professor of Mathematics in 2016. |
| du data science masters: Listening to Rosita Mary Ann Villarreal, 2015-10-20 Everybody in the bar had to drop a quarter in the jukebox or be shamed by “Momo” Villarreal. It wasn’t about the money, Mary Ann Villarreal’s grandmother insisted. It was about the music—more songs for all the patrons of the Pecan Lounge in Tivoli, Texas. But for Mary Ann, whose schoolbooks those quarters bought, the money didn’t hurt. When as an adult Villarreal began to wonder how the few recordings of women singers made their way into that jukebox, questions about the money seemed inseparable from those about the music. In Listening to Rosita, Villarreal seeks answers by pursuing the story of a small group of Tejana singers and entrepreneurs in Corpus Christi, Houston, and San Antonio—the “Texas Triangle”—during the mid-twentieth century. Ultimately she recovers a social world and cultural landscape in central south Texas where Mexican American women negotiated the shifting boundaries of race and economics to assert a public presence. Drawing on oral history, interviews, and insights from ethnic and gender studies, Listening to Rosita provides a counternarrative to previous research on la música tejana, which has focused almost solely on musicians or musical genres. Villarreal instead chronicles women’s roles and contributions to the music industry. In spotlighting the sixty-year singing career of San Antonian Rosita Fernández, the author pulls the curtain back on all the women whose names and stories have been glaringly absent from the ethnic and economic history of Tejana music and culture. In this oral history of the Tejana cantantes who performed and owned businesses in the Texas Triangle, Listening to Rosita shows how ethnic Mexican entrepreneurs developed a unique identity in striving for success in a society that demeaned and segregated them. In telling their story, this book supplies a critical chapter long missing from the history of the West. |
| du data science masters: Healthcare Cybersecurity W. Andrew H. Gantt, III, 2021-09-07 This book pinpoints current and impending threats to the healthcare industry's data security. |
| du data science masters: Ghost of Diana Khoi Nguyen, 2018 Winner of the Omnidawn Open Poetry Book Prize |
| du data science masters: Machine Learning for Financial Risk Management with Python Abdullah Karasan, 2021-12-07 Financial risk management is quickly evolving with the help of artificial intelligence. With this practical book, developers, programmers, engineers, financial analysts, risk analysts, and quantitative and algorithmic analysts will examine Python-based machine learning and deep learning models for assessing financial risk. Building hands-on AI-based financial modeling skills, you'll learn how to replace traditional financial risk models with ML models. Author Abdullah Karasan helps you explore the theory behind financial risk modeling before diving into practical ways of employing ML models in modeling financial risk using Python. With this book, you will: Review classical time series applications and compare them with deep learning models Explore volatility modeling to measure degrees of risk, using support vector regression, neural networks, and deep learning Improve market risk models (VaR and ES) using ML techniques and including liquidity dimension Develop a credit risk analysis using clustering and Bayesian approaches Capture different aspects of liquidity risk with a Gaussian mixture model and Copula model Use machine learning models for fraud detection Predict stock price crash and identify its determinants using machine learning models |
| du data science masters: International and Intercultural Communication Heinz Dietrich Fischer, John Calhoun Merrill, 1976 |
| du data science masters: 2022 CFA Program Curriculum Level I Box Set CFA Institute, 2021-05-04 Prepare for success on the 2022 CFA Level I exam with the latest official CFA® Program Curriculum. The 2022 CFA Program Curriculum Level I Box Set contains all the material you need to succeed on the Level I CFA exam in 2022. This set includes the full official curriculum for Level I and is part of the larger CFA Candidate Body of Knowledge (CBOK). Highly visual and intuitively organized, this box set allows you to: Learn from financial thought leaders. Access market-relevant instruction. Gain critical knowledge and skills. The set also includes practice questions to assist with your recall of key terms, concepts, and formulas. Perfect for anyone preparing for the 2022 Level I CFA exam, the 2022 CFA Program Curriculum Level I Box Set is a must-have resource for those seeking the foundational skills required to become a Chartered Financial Analyst®. |
| du data science masters: Gender and Economics in Muslim Communities Ebru Kongar, Jennifer C. Olmsted, Elora Shehabuddin, 2017-08-25 Bringing together feminist analyses of economic processes and outcomes with feminist critiques of Orientalism, this book examines the diverse economic realities facing women in a range of Muslim communities. This approach pays special attention to the role of Islam in economic analyses of gender equality and women’s well-being in Muslim communities, while at the same time challenging biased and inaccurate accounts that essentialize Islam. Nuanced case studies conducted in Bangladesh, Iran, Israel, Nigeria, and Turkey illustrate the historical and institutional diversity of Muslim communities and draw vivid pictures of the everyday economic lives of Muslim women in these communities. These studies are complemented by quantitative analyses that extend beyond inserting Islam as a dummy variable. The contributions represent a wide range of disciplines, including anthropology, economics, gender studies, political science, psychology, and sociology. By placing critiques of Orientalist scholarship in direct dialogue with scholarship on economic development in Muslim contexts, this diverse collection illustrates how different methods and frameworks can work together to provide a better understanding of gender equality and women’s well-being in Muslim contexts. In doing so, the authors aim to facilitate conversations among feminist scholars across disciplines in order to provide a more nuanced picture of the situation facing women in Muslim communities. This book was originally published as a special issue of Feminist Economics. |
| du data science masters: Colleges That Change Lives Loren Pope, 2006-07-25 Prospective college students and their parents have been relying on Loren Pope's expertise since 1995, when he published the first edition of this indispensable guide. This new edition profiles 41 colleges—all of which outdo the Ivies and research universities in producing performers, not only among A students but also among those who get Bs and Cs. Contents include: Evaluations of each school's program and personality Candid assessments by students, professors, and deans Information on the progress of graduates This new edition not only revisits schools listed in previous volumes to give readers a comprehensive assessment, it also addresses such issues as homeschooling, learning disabilities, and single-sex education. |
| du data science masters: Using Educational Criticism and Connoisseurship for Qualitative Research P Bruce Uhrmacher, Christy McConnell Moroye, David J. Flinders, 2016-10-14 Using Educational Criticism and Connoisseurship for Qualitative Research develops the practical elements of educational criticism, a form of qualitative inquiry that takes its lead from the work that critics have done in fields such as the visual arts, music, literature, drama and dance. Written by leading scholars in the field of curriculum studies, and research methods, this book explores the interpretive and evaluative aspects of educational criticism, through which the educational critic offers means for understanding and attributing significance to educational events. Featuring chapter-by-chapter activities, guiding questions, and key terms, this volume addresses matters of study design, pedagogy, and trends in doing educational criticism and connoisseurship. By offering a uniquely in-depth account of this research method, Using Educational Criticism and Connoisseurship for Qualitative Research is accessible to researchers and students in curriculum and instruction, educational leadership, and higher education. |
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Dec 13, 2014 · Mathematica – Winter Introductory Session for DU Faculty Members and Research Scholars :- Delhi University Computer Centre (January 18, 2024)
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DU Passport is the online Application and Travel Registration system for the DU community. Click on the appropriate button below to learn more: *If you are an undergraduate student who is …
University of Denver - Wikipedia
The University of Denver (DU) is a private research university in Denver, Colorado, United States. Founded in 1864, it has an enrollment of approximately 5,700 undergraduate students and …
Ritchie School of Engineering & Computer Science: Best …
Discover top engineering and computer science degrees at Ritchie School. Advance your career with our innovative programs.
Browse and Explore the DU Course Catalog | PSC DU - UCOL DU
The course catalog at the University of Denver's University College showcases a wide range of course listings, highlighting the diverse academic offerings available. Explore our course …
College of Arts, Humanities & Social Sciences | University of Denver
As the largest and most diverse academic unit at DU, we provide the fundamental skills to think critically, communicate strategically, solve problems, pursue passions and make meaningful …
