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| syracuse online masters in data science: An Introduction to Data Science Jeffrey S. Saltz, Jeffrey M. Stanton, 2017-08-25 An Introduction to Data Science by Jeffrey S. Saltz and Jeffrey M. Stanton is an easy-to-read, gentle introduction for people with a wide range of backgrounds into the world of data science. Needing no prior coding experience or a deep understanding of statistics, this book uses the R programming language and RStudio® platform to make data science welcoming and accessible for all learners. After introducing the basics of data science, the book builds on each previous concept to explain R programming from the ground up. Readers will learn essential skills in data science through demonstrations of how to use data to construct models, predict outcomes, and visualize data. |
| syracuse online masters in data science: Standards for Accreditation of Master's Programs in Library & Information Studies American Library Association. Committee on Accreditation, American Library Association. Office for Accreditation, 1992 These standards for the accreditation of graduate programs of library and information studies leading to a master's degree are a result of review and revision of the Standards for Accreditation 1972. Six areas are addressed: (1) Mission, Goals and Objectives; (2) Curriculum; (3) Faculty; (4) Students; (5) Administration and Financial Support; and (6) Physical Resources and Facilities. An afterword presents an abridged version of the commentary used during the revision process in order to enhance understanding of the scope and focus of the standards and to define key terms and phrases. The following are listed as important issues at the time of the revision (1989-1992): action orientation; definition of the field; discrimination; distance education; diversity; excellence; future focus; globalization; innovation; interaction with other fields of study and other campus units; management; multiple degree programs; ongoing evaluation processes; philosophy, principles, and ethics; research; specialization; technology; and users. (ALF) |
| syracuse online masters in data science: Data Science Careers, Training, and Hiring Renata Rawlings-Goss, 2019-08-02 This book is an information packed overview of how to structure a data science career, a data science degree program, and how to hire a data science team, including resources and insights from the authors experience with national and international large-scale data projects as well as industry, academic and government partnerships, education, and workforce. Outlined here are tips and insights into navigating the data ecosystem as it currently stands, including career skills, current training programs, as well as practical hiring help and resources. Also, threaded through the book is the outline of a data ecosystem, as it could ultimately emerge, and how career seekers, training programs, and hiring managers can steer their careers, degree programs, and organizations to align with the broader future of data science. Instead of riding the current wave, the author ultimately seeks to help professionals, programs, and organizations alike prepare a sustainable plan for growth in this ever-changing world of data. The book is divided into three sections, the first “Building Data Careers”, is from the perspective of a potential career seeker interested in a career in data, the second “Building Data Programs” is from the perspective of a newly forming data science degree or training program, and the third “Building Data Talent and Workforce” is from the perspective of a Data and Analytics Hiring Manager. Each is a detailed introduction to the topic with practical steps and professional recommendations. The reason for presenting the book from different points of view is that, in the fast-paced data landscape, it is helpful to each group to more thoroughly understand the desires and challenges of the other. It will, for example, help the career seekers to understand best practices for hiring managers to better position themselves for jobs. It will be invaluable for data training programs to gain the perspective of career seekers, who they want to help and attract as students. Also, hiring managers will not only need data talent to hire, but workforce pipelines that can only come from partnerships with universities, data training programs, and educational experts. The interplay gives a broader perspective from which to build. |
| syracuse online masters in data science: Presidential Campaigning in the Internet Age Jennifer Stromer-Galley, 2014 Draws on data from the past five presidential campaigns, including interviews with staff Argues against prevailing notions that Digital Communication Technologies (DCTs) have a democratizing effect on campaigns Offers historical contextualization of presidential campaign practices and their adoption of DCTs Considers how political campaigning is changing with the adoption of DCTs |
| syracuse online masters in data science: Spark: The Definitive Guide Bill Chambers, Matei Zaharia, 2018-02-08 Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals. Youâ??ll explore the basic operations and common functions of Sparkâ??s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Sparkâ??s scalable machine-learning library. Get a gentle overview of big data and Spark Learn about DataFrames, SQL, and Datasetsâ??Sparkâ??s core APIsâ??through worked examples Dive into Sparkâ??s low-level APIs, RDDs, and execution of SQL and DataFrames Understand how Spark runs on a cluster Debug, monitor, and tune Spark clusters and applications Learn the power of Structured Streaming, Sparkâ??s stream-processing engine Learn how you can apply MLlib to a variety of problems, including classification or recommendation |
| syracuse online masters in data science: An Introduction to Data Science Jeffrey S. Saltz, Jeffrey M. Stanton, 2017-08-25 An Introduction to Data Science is an easy-to-read, gentle introduction for advanced undergraduate, certificate, and graduate students coming from a wide range of backgrounds into the world of data science. After introducing the basic concepts of data science, the book builds on these foundations to explain data science techniques using the R programming language and RStudio® from the ground up. Short chapters allow instructors to group concepts together for a semester course and provide students with manageable amounts of information for each concept. By taking students systematically through the R programming environment, the book takes the fear out of data science and familiarizes students with the environment so they can be successful when performing advanced functions. The authors cover statistics from a conceptual standpoint, focusing on how to use and interpret statistics, rather than the math behind the statistics. This text then demonstrates how to use data effectively and efficiently to construct models, predict outcomes, visualize data, and make decisions. Accompanying digital resources provide code and datasets for instructors and learners to perform a wide range of data science tasks. |
| syracuse online masters in data science: Big Data Factories Sorin Adam Matei, Nicolas Jullien, Sean P. Goggins, 2017-11-27 The book proposes a systematic approach to big data collection, documentation and development of analytic procedures that foster collaboration on a large scale. This approach, designated as “data factoring” emphasizes the need to think of each individual dataset developed by an individual project as part of a broader data ecosystem, easily accessible and exploitable by parties not directly involved with data collection and documentation. Furthermore, data factoring uses and encourages pre-analytic operations that add value to big data sets, especially recombining and repurposing. The book proposes a research-development agenda that can undergird an ideal data factory approach. Several programmatic chapters discuss specialized issues involved in data factoring (documentation, meta-data specification, building flexible, yet comprehensive data ontologies, usability issues involved in collaborative tools, etc.). The book also presents case studies for data factoring and processing that can lead to building better scientific collaboration and data sharing strategies and tools. Finally, the book presents the teaching utility of data factoring and the ethical and privacy concerns related to it. Chapter 9 of this book is available open access under a CC BY 4.0 license at link.springer.com |
| syracuse online masters in data science: 50 Ways to Get a Job Dev Aujla, 2018-04-03 A new personalized way to find the perfect job—while staying calm during the process. You are so much more than a resume or job application, but how can you communicate that to your potential employer? You need to learn to ask the right questions, stop using job sites, and start doing the work that actually counts. Based on information gained from over 400,000 individuals who have used these exercises, this book reveals career expert Dev Aujla’s tried-and-tested method for job seekers at every stage of their career. Filled with anecdotes and advice from professionals ranging from a wilderness guide to an architect, it includes quick-step exercises that help you avoid the common pitfalls of navigating a modern career. Whether you've just decided to start the hunt or you're gearing up for a big interview, 50 Ways to Get a Job will keep you poised, on-track, and motivated right up to landing your dream career. |
| syracuse online masters in data science: The Value of Academic Libraries Megan J. Oakleaf, 2010 This report provides Association of College and Research Libraries (ACRL) leaders and the academic community with a clear view of the current state of the literature on value of libraries within an institutional context, suggestions for immediate Next Steps in the demonstration of academic library value, and a Research Agenda for articulating academic library value. Its focus is to help librarians understand, based on professional literature, the current answer to the question, How does the library advance the missions of the institution? This report is also of interest to higher educational professionals external to libraries, including senior leaders, administrators, faculty, and student affairs professionals. |
| syracuse online masters in data science: Discovering the Deep Jeffrey A. Karson, Deborah S. Kelley, Daniel J. Fornari, Michael R. Perfit, Timothy M. Shank, 2015-04-23 A beautifully illustrated reference providing fascinating insights into the hidden world of the seafloor using the latest deep-sea imaging. |
| syracuse online masters in data science: Doing Dissertations in Politics David Silbergh, 2003-08-27 This guide has been designed to help undergraduates develop an understanding of practical research methods, and their application in the undergraduate dissertation. Written in an accessible and engaging style, it offers advice on all aspects of undergraduate research, from choosing a dissertation subject through to presenting the finished article. Features of this book: concise chapters which provide an introduction to various aspects of research methods, including: why it is important; quantitative and qualitative methods; and practical application advice, hints and tips on planning, presenting, researching and writing undergraduate dissertations a wide range of examples of research to clearly illustrate different issues and methods which students may encounter guides to further reading and thinking at the end of each chapter. |
| syracuse online masters in data science: Delivering Research Data Management Services Graham Pryor, Sarah Jones, Angus Whyte, 2013-12-10 Step-by-step guidance to setting up and running effective institutional research data management services to support researchers and networks. The research landscape is changing, with key global research funders now requiring institutions to demonstrate how they will preserve and share research data. However, the practice of structured research data management is very new, and the construction of services remains experimental and in need of models and standards of approach. This groundbreaking guide will lead researchers, institutions and policy makers through the processes needed to set up and run effective institutional research data management services. This ‘how to’ guide provides a step-by-step explanation of the components for an institutional service. Case studies from the newly emerging service infrastructures in the UK, USA and Australia draw out the lessons learnt. Different approaches are highlighted and compared; for example, a researcher-focused strategy from Australia is contrasted with a national, top-down approach, and a national research data management service is discussed as an alternative to institutional services. Key topics covered: • Research data provision • Options and approaches to research data management service provision • A spectrum of roles, responsibilities and competences • A pathway to sustainable research data services: from scoping to sustainability • The range and components of RDM infrastructure and services Case studies: • Johns Hopkins University • University of Southampton • Monash University • The UK Data Service • Jisc Managing Research Data programmes. Readership: This book will be an invaluable guide to those entering a new and untried enterprise. It will be particularly relevant to heads of libraries, information technology managers, research support office staff and research directors planning for these types of services. It will also be of interest to researchers, funders and policy makers as a reference tool for understanding how shifts in policy will have a range of ramifications within institutions. Library and information science students will find it an informative window on an emerging area of practice. |
| syracuse online masters in data science: Algorithms for Data Science Brian Steele, John Chandler, Swarna Reddy, 2016-12-25 This textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the keystone of data analytics and the focal point of this textbook. Clear and intuitive explanations of the mathematical and statistical foundations make the algorithms transparent. But practical data analytics requires more than just the foundations. Problems and data are enormously variable and only the most elementary of algorithms can be used without modification. Programming fluency and experience with real and challenging data is indispensable and so the reader is immersed in Python and R and real data analysis. By the end of the book, the reader will have gained the ability to adapt algorithms to new problems and carry out innovative analyses. This book has three parts:(a) Data Reduction: Begins with the concepts of data reduction, data maps, and information extraction. The second chapter introduces associative statistics, the mathematical foundation of scalable algorithms and distributed computing. Practical aspects of distributed computing is the subject of the Hadoop and MapReduce chapter.(b) Extracting Information from Data: Linear regression and data visualization are the principal topics of Part II. The authors dedicate a chapter to the critical domain of Healthcare Analytics for an extended example of practical data analytics. The algorithms and analytics will be of much interest to practitioners interested in utilizing the large and unwieldly data sets of the Centers for Disease Control and Prevention's Behavioral Risk Factor Surveillance System.(c) Predictive Analytics Two foundational and widely used algorithms, k-nearest neighbors and naive Bayes, are developed in detail. A chapter is dedicated to forecasting. The last chapter focuses on streaming data and uses publicly accessible data streams originating from the Twitter API and the NASDAQ stock market in the tutorials. This book is intended for a one- or two-semester course in data analytics for upper-division undergraduate and graduate students in mathematics, statistics, and computer science. The prerequisites are kept low, and students with one or two courses in probability or statistics, an exposure to vectors and matrices, and a programming course will have no difficulty. The core material of every chapter is accessible to all with these prerequisites. The chapters often expand at the close with innovations of interest to practitioners of data science. Each chapter includes exercises of varying levels of difficulty. The text is eminently suitable for self-study and an exceptional resource for practitioners. |
| syracuse online masters in data science: Interrupting Heteronormativity Mary Queen, Kathleen Farrell, Nisha Gupta, 2005 Aims to make visible the everyday, seemingly inconsequential ways in which classrooms become sites for the reinforcement of heteronormative ideologies and practices that inhibit student learning and student-teacher interactions; and to aid educators in identifying, and working with students to avoid marginalizaton in the classroom. |
| syracuse online masters in data science: Graduate Programs in Business, Education, Information Studies, Law & Social Work 2014 (Grad 6) Peterson's, 2013-12-20 Peterson's Graduate Programs in Business, Education, Information Studies, Law & Social Work 2014 contains comprehensive profiles of more than 11,000 graduate programs in disciplines such as, accounting & finance, business administration & management, education, human resources, international business, law, library & information studies, marketing, social work, transportation management, and more. Up-to-date info, collected through Peterson's Annual Survey of Graduate and Professional Institutions, provides valuable data on degree offerings, professional accreditation, jointly offered degrees, part-time & evening/weekend programs, postbaccalaureate distance degrees, faculty, students, requirements, expenses, financial support, faculty research, and unit head and application contact information. There are helpful links to in-depth descriptions about a specific graduate program or department, faculty members and their research, and more. Also find valuable articles on financial assistance, the graduate admissions process, advice for international and minority students, and facts about accreditation, with a current list of accrediting agencies. |
| syracuse online masters in data science: 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. |
| syracuse online masters in data science: Data Science for Business With R Jeffrey S. Saltz, Jeffrey M. Stanton, 2021-02-03 Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton, focuses on the concepts foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the authors feature a running case using a global airline business’s customer survey dataset to illustrate how to turn data in business decisions, in addition to numerous examples throughout. To aid in usability beyond the classroom, the text features full integration of freely-available R and RStudio software, one of the most popular data science tools available. Designed for students with little to no experience in related areas like computer science, the book chapters follow a logical order from introduction and installation of R and RStudio, working with data architecture, undertaking data collection, performing data analysis, and transitioning to data archiving and presentation. Each chapter follows a familiar structure, starting with learning objectives and background, following the basic steps of functions alongside simple examples, applying these functions to the case study, and ending with chapter challenge questions, sources, and a list of R functions so students know what to expect in each step of their data science course. Data Science for Business with R provides readers with a straightforward and applied guide to this new and evolving field. |
| syracuse online masters in data science: Online Ecological and Environmental Data Virginia Ann Baldwin, 2014-06-23 Discover important Internet resources for research data made public individually and collectively by researchers from a variety of entities in the fields of environmental studies and ecology Online Ecological and Environmental Data explores innovative projects from a diverse array of institutions that have made environmental and ecological research information freely available online. You will find a wealth of Web site listings with URLs and complete descriptions, data field descriptions, controlled vocabulary examples, and Web screen shots that demonstrate how to use a specific site. The book will help you locate the data, procedures, instruments, notes, and other descriptive information that scientists and engineers need for replicating and building on the research of others. With Online Ecological and Environmental Data, you'll gain a better understanding of: * the cooperative design, development, and management of interdisciplinary data * cataloging multidisciplinary environmental data * data networking * new developments in information science and technology * extracting and compiling data * the convergence and dissemination of information via the Internet This unique resource explores the potential of distributing actual research data on the Web. The information you'll find in this book will enable science and technology librarians to provide effective access to library patrons. Online Ecological and Environmental Data will give librarians and other information specialists—as well as faculty and students in library sciences and technology—cutting-edge knowledge to meet the global data and information needs of the scientific community. The projects described in this book can serve as models for other disciplines, especially for the various aspects of handling data made available online, and for making this data more available and usable on the Internet for researchers and students. |
| syracuse online masters in data science: Research Anthology on Developing Effective Online Learning Courses Management Association, Information Resources, 2020-12-18 In the current educational environment, there has been a shift towards online learning as a replacement for the traditional in-person classroom experience. With this new environment comes new technologies, benefits, and challenges for providing courses to students through an entirely digital environment. With this shift comes the necessary research on how to utilize these online courses and how to develop effective online educational materials that fit student needs and encourage student learning, motivation, and success. The optimization of these online tools requires a deeper look into curriculum, instructional design, teaching techniques, and new models for student assessment and evaluation. Information on how to create valuable online course content, engaging lesson plans for the digital space, and meaningful student activities online are only a few of many current topics of interest for promoting student achievement through online learning. The Research Anthology on Developing Effective Online Learning Courses provides multiple perspectives on how to develop engaging and effective online learning courses in the wake of the rapid digitalization of education. This book includes topics focused on online learners, online course content, effective online instruction strategies, and instructional design for the online environment. This reference work is ideal for curriculum developers, instructional designers, IT consultants, deans, chairs, teachers, administrators, academicians, researchers, and students interested in the latest research on how to create online learning courses that promote student success. |
| syracuse online masters in data science: Representations of Algebras Graham J. Leuschke, Frauke Bleher, Ralf Schiffler, Dan I. Zacharia, 2018 Contains the proceedings of the 17th Workshop and International Conference on Representations of Algebras (ICRA 2016), held in August 2016, at Syracuse University. This volume includes three survey articles based on short courses in the areas of commutative algebraic groups, modular group representation theory, and thick tensor ideals of bounded derived categories. |
| syracuse online masters in data science: Data Science for Business Foster Provost, Tom Fawcett, 2013-07-27 Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the data-analytic thinking necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates |
| syracuse online masters in data science: Writing a Research Paper in Political Science Lisa A. Baglione, 2018-12-31 Even students capable of writing excellent essays still find their first major political science research paper an intimidating experience. Crafting the right research question, finding good sources, properly summarizing them, operationalizing concepts and designing good tests for their hypotheses, presenting and analyzing quantitative as well as qualitative data are all tough-going without a great deal of guidance and encouragement. Writing a Research Paper in Political Science breaks down the research paper into its constituent parts and shows students what they need to do at each stage to successfully complete each component until the paper is finished. Practical summaries, recipes for success, worksheets, exercises, and a series of handy checklists make this a must-have supplement for any writing-intensive political science course. |
| syracuse online masters in data science: Political Automation Eduardo Albrecht, 2025 Governments now routinely use AI-based software to gather information about citizens and determine the level of privacy a person can enjoy, how far they can travel, what public benefits they may receive, and what they can and cannot say publicly. What input do citizens have in how these machines think? In Political Automation, Eduardo Albrecht explores this question in various domains, including policing, national security, and international peacekeeping. Drawing upon interviews with rights activists, Albrecht examines popular attempts to interact with this novel form of algorithmic governance so far. He then proposes the idea of a Third House, a virtual chamber that legislates exclusively on AI in government decision-making and is based on principles of direct democracy, unlike existing upper and lower houses that are representative. Digital citizens, AI powered replicas of ourselves, would act as our personal emissaries to this Third House. An in-depth look at how political automation impacts the lives of citizens, this book addresses the challenges at the heart of automation in public policy decision-making and offers a way forward. |
| syracuse online masters in data science: Online Catalog Use Karen Markey, 1983 |
| syracuse online masters in data science: Arden of Feversham Ronald Bayne, 1897 |
| syracuse online masters in data science: Library and Information Science in the Age of MOOCs Kaushik, Anna, 2018-05-18 Online education plays an important role across numerous industries. These processes and strategies can be adopted into the library and information science programs for use in assisting with educational developments. Library and Information Science in the Age of MOOCs is a critical scholarly resource that explores the ideas on how library and information science professionals implement the use of massive open online courses in the library and information science domain. Featuring coverage on a broad range of topics, such as distance learning, technology enhanced learning, and online learning, this book is geared towards academicians, librarians, and researchers seeking current research on solving problems related to massive open online courses. |
| syracuse online masters in data science: The Atlas of New Librarianship R. David Lankes, 2011-04-04 An essential guide to a librarianship based not on books and artifacts but on knowledge and learning. Libraries have existed for millennia, but today the library field is searching for solid footing in an increasingly fragmented (and increasingly digital) information environment. What is librarianship when it is unmoored from cataloging, books, buildings, and committees? In The Atlas of New Librarianship, R. David Lankes offers a guide to this new landscape for practitioners. He describes a new librarianship based not on books and artifacts but on knowledge and learning; and he suggests a new mission for librarians: to improve society through facilitating knowledge creation in their communities. The vision for a new librarianship must go beyond finding library-related uses for information technology and the Internet; it must provide a durable foundation for the field. Lankes recasts librarianship and library practice using the fundamental concept that knowledge is created though conversation. New librarians approach their work as facilitators of conversation; they seek to enrich, capture, store, and disseminate the conversations of their communities. To help librarians navigate this new terrain, Lankes offers a map, a visual representation of the field that can guide explorations of it; more than 140 Agreements, statements about librarianship that range from relevant theories to examples of practice; and Threads, arrangements of Agreements to explain key ideas, covering such topics as conceptual foundations and skills and values. Agreement Supplements at the end of the book offer expanded discussions. Although it touches on theory as well as practice, the Atlas is meant to be a tool: textbook, conversation guide, platform for social networking, and call to action. Copublished with the Association of College & Research Libraries. |
| syracuse online masters in data science: Introduction to Health Sciences Librarianship M. Sandra Wood, 2008 Introduction to Health Sciences Librarianship covers a wide range of areas beyond traditional medical libraries. This helpful guide provides an overview of the health care environment, academic health sciences, hospital libraries, health informatics, and more. This single volume provides a sound foundation on health sciences libraries to students, beginning, and practicing librarians alike. |
| syracuse online masters in data science: Graduate Programs in Business, Education, Information Studies, Law & Social Work 2015 (Grad 6) Peterson's, 2014-12-30 Graduate Programs in Business, Education, Information Studies, Law & Social Work 2015 contains helpful facts and figures on more than 11,000 graduate programs. The comprehensive directory includes more than 1,850 institutions and their programs in all of the relevant disciplines such as accounting and finance, business management, education, law, library and information sciences, marketing, social work, and many more. Informative data profiles feature facts and figures on accreditation, degree requirements, application deadlines, contact information, financial support, faculty, and student body profiles. Two-page in-depth descriptions, written by featured institutions, offer complete details on 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 graduate series. |
| syracuse online masters in data science: Elliptic Partial Differential Equations and Quasiconformal Mappings in the Plane Kari Astala, Tadeusz Iwaniec, Gaven Martin, 2008-12-29 This book explores the most recent developments in the theory of planar quasiconformal mappings with a particular focus on the interactions with partial differential equations and nonlinear analysis. It gives a thorough and modern approach to the classical theory and presents important and compelling applications across a spectrum of mathematics: dynamical systems, singular integral operators, inverse problems, the geometry of mappings, and the calculus of variations. It also gives an account of recent advances in harmonic analysis and their applications in the geometric theory of mappings. The book explains that the existence, regularity, and singular set structures for second-order divergence-type equations--the most important class of PDEs in applications--are determined by the mathematics underpinning the geometry, structure, and dimension of fractal sets; moduli spaces of Riemann surfaces; and conformal dynamical systems. These topics are inextricably linked by the theory of quasiconformal mappings. Further, the interplay between them allows the authors to extend classical results to more general settings for wider applicability, providing new and often optimal answers to questions of existence, regularity, and geometric properties of solutions to nonlinear systems in both elliptic and degenerate elliptic settings. |
| syracuse online masters in data science: Managing Research Data Graham Pryor, 2012-01-20 This title defines what is required to achieve a culture of effective data management offering advice on the skills required, legal and contractual obligations, strategies and management plans and the data management infrastructure of specialists and services. Data management has become an essential requirement for information professionals over the last decade, particularly for those supporting the higher education research community, as more and more digital information is created and stored. As budgets shrink and funders of research demand evidence of value for money and demonstrable benefits for society, there is increasing pressure to provide plans for the sustainable management of data. Ensuring that important data remains discoverable, accessible and intelligible and is shared as part of a larger web of knowledge will mean that research has a life beyond its initial purpose and can offer real utility to the wider community. This edited collection, bringing together leading figures in the field from the UK and around the world, provides an introduction to all the key data issues facing the HE and information management communities. Each chapter covers a critical element of data management: • Why manage research data? • The lifecycle of data management • Research data policies: principles, requirements and trends • Sustainable research data • Data management plans and planning • Roles and responsibilities – libraries, librarians and data • Research data management: opportunities and challenges for HEIs • The national data centres • Contrasting national research data strategies: Australia and the USA • Emerging infrastructure and services for research data management and curation in the UK and Europe Readership: This is essential reading for librarians and information professionals working in the higher education sector, the research community, policy makers and university managers. It will also be a useful introduction for students taking courses in information management, archivists and national library services. |
| syracuse online masters in data science: The Agricultural College of the State of Michigan Michigan State University, State Agricultural College (Mich.), 1857 |
| syracuse online masters in data science: The New Metrics Elaine M. Lasda, 2019-08-19 New methods in bibliometrics and alternative metrics provide us with information about research impact at both increasingly granular and global levels. Here, editor Elaine Lasda and a cast of expert contributors present a variety of case studies that demonstrate the practical utilization of these new scholarly metrics. |
| syracuse online masters in data science: Literacy and Mobility Brice Nordquist, 2017-04-28 Pushing forward research on emerging literacies and theoretical orientations, this book follows students from different tracks of high school English in a failing U.S. public school through their first two years in universities, colleges, and jobs. Analytical and methodological tools from new literacy and mobility studies are employed to investigate relations among patterns of movement and literacy practices across educational institutions, neighborhoods, cultures, and national borders. By following research participants’ trajectories in and across scenes of literacy in school, college, home, online, in transit, and elsewhere, the work illustrates how students help constitute and connect one scene of literacy with others in their daily lives; how their mobile literacies produce, maintain, and disrupt social relations and identities with respect to race, gender, class, language, and nationality; and how they draw upon multiple literacies and linguistic resources to accommodate, resist, and transform dominant discourses. |
| syracuse online masters in data science: The Sage Handbook of Survey Development and Application Lucy R. Ford, Terri A. Scandura, 2023-06-29 The SAGE Handbook of Survey Development and Application provides a practical resource that researchers can go to for cutting-edge tools to ensure they are employing the best survey research techniques. This handbook not only covers the classic and innovational skills and approaches involved at every step of the survey research process, but also centres itself around applied, how-to guidance to aid readers in best practice. Chapters engage with a broad range of topics including sampling issues, approaches to establishment of measurement equivalence, and the use of online labour pools in survey development. With contributions from a global community of leading and emerging scholars across a wide variety of disciplines, this Handbook is focused on being applicable and accessible across the social sciences. Containing over 120 tables and figures, checklists and tutorial guides, The SAGE Handbook of Survey Development and Application will serve as a one stop resource for survey research. This handbook serves as a touchstone for a variety of fields such as Organizational Behavior, Industrial & Organizational Psychology, Management, Psychology, Educational Research, Marketing, Public Policy, and others. PART 1: Conceptual Issues and Operational Definition PART 2: Research Design Considerations PART 3: Item Development PART 4: Scale Improvement Methods PART 5: Data Collection PART 6: Data Management and Analysis PART 7: Research Production and Dissemination PART 8: Applications |
| syracuse online masters in data science: Reasoning with Data Jeffrey M. Stanton, 2017-05-19 Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs, and avoid overinterpreting results that may look more promising than they really are. It provides step-by-step guidance for using both classical (frequentist) and Bayesian approaches to inference. Statistical techniques covered side by side from both frequentist and Bayesian approaches include hypothesis testing, replication, analysis of variance, calculation of effect sizes, regression, time series analysis, and more. Students also get a complete introduction to the open-source R programming language and its key packages. Throughout the text, simple commands in R demonstrate essential data analysis skills using real-data examples. The companion website provides annotated R code for the book's examples, in-class exercises, supplemental reading lists, and links to online videos, interactive materials, and other resources. ÿ Pedagogical Features *Playful, conversational style and gradual approach; suitable for students without strong math backgrounds. *End-of-chapter exercises based on real data supplied in the free R package. *Technical explanation and equation/output boxes. *Appendices on how to install R and work with the sample datasets.ÿ |
| syracuse online masters in data science: Social Informatics Pnina Fichman, Howard Rosenbaum, 2014-03-17 Social Informatics: Past, Present and Future is a collection of twelve papers that provides a state-of-the-art review of 21st century social informatics. Two papers review the history of social informatics, and show that its intellectual roots can be found in the late 1970s and early ’80s and that it emerged in several different locations around the world before it coalesced in the US in the mid-1990s. The evolution of social informatics is described under four periods: foundational work, development and expansion, a robust period of coherence, and a period of diversification that continues today. Five papers provide a view of the breadth and depth of contemporary social informatics, demonstrating the diversity of theoretical and methodological approaches that can be used. A further five papers explore the future of social informatics and offer provocative and disparate visions of its trajectory, ranging from arguments for a new philosophical grounding for social informatics, to calls for a social informatics based on practice thinking and materiality. This book presents a view of SI that emphasizes the core relationship among people, ICT and organizational and social life from a perspective that integrates aspects of social theory and demonstrates clearly that social informatics has never been a more necessary research endeavor than it is now. |
| syracuse online masters in data science: Guide to Audit Data Analytics AICPA, 2018-08-24 Designed to facilitate the use of audit data analytics (ADAs) in the financial statement audit, this title was developed by leading experts across the profession and academia. The guide defines audit data analytics as “the science and art of discovering and analyzing patterns, identifying anomalies, and extracting other useful information in data underlying or related to the subject matter of an audit through analysis, modeling, and visualization for planning or performing the audit.” Simply put, ADAs can be used to perform a variety of procedures to gather audit evidence. Each chapter focuses on an audit area and includes step-by-step guidance illustrating how ADAs can be used throughout the financial statement audit. Suggested considerations for assessing the reliability of data are also included in a separate appendix. |
| syracuse online masters in data science: $n$-Harmonic Mappings between Annuli Tadeusz Iwaniec, Jani Onninen, 2012 Iwaniec and Onninen (both mathematics, Syracuse U., US) address concrete questions regarding energy minimal deformations of annuli in Rn. One novelty of their approach is that they allow the mappings to slip freely along the boundaries of the domains, where it is most difficult to establish the existence, uniqueness, and invertibility properties of the extremal mappings. At the core of the matter, they say, is the underlying concept of free Lagrangians. After an introduction, they cover in turn principal radial n-harmonics, and the n-harmonic energy. There is no index. Annotation ©2012 Book News, Inc., Portland, OR (booknews.com). |
| syracuse online masters in data science: Big Data at Work Thomas Davenport, 2014-02-04 Go ahead, be skeptical about big data. The author was—at first. When the term “big data” first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind. Now, in clear, conversational language, Davenport explains what big data means—and why everyone in business needs to know about it. Big Data at Work covers all the bases: what big data means from a technical, consumer, and management perspective; what its opportunities and costs are; where it can have real business impact; and which aspects of this hot topic have been oversold. This book will help you understand: • Why big data is important to you and your organization • What technology you need to manage it • How big data could change your job, your company, and your industry • How to hire, rent, or develop the kinds of people who make big data work • The key success factors in implementing any big data project • How big data is leading to a new approach to managing analytics With dozens of company examples, including UPS, GE, Amazon, United Healthcare, Citigroup, and many others, this book will help you seize all opportunities—from improving decisions, products, and services to strengthening customer relationships. It will show you how to put big data to work in your own organization so that you too can harness the power of this ever-evolving new resource. |
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Mar 4, 2025 · PLAYER POS. HT. WT. CLASS STATUS JJ Starling G 6-4 206 Sr. :D Donnie Freeman PF 6-9 205 So. :D Kiyan Anthony G 6-5 185 Fr. Tiefing Diawara C 7-0 240 Fr. Luke …
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