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| computer science masters uw: Computer Science Education Research Sally Fincher, Marian Petre, 2004-01-01 This book provides an overview of how to approach computer science education research from a pragmatic perspective. It represents the diversity of traditions and approaches inherent in this interdisciplinary area, while also providing a structure within which to make sense of that diversity. It provides multiple 'entry points'- to literature, to methods, to topics Part One, 'The Field and the Endeavor', frames the nature and conduct of research in computer science education. Part Two, 'Perspectives and Approaches', provides a number of grounded chapters on particular topics or themes, written by experts in each domain. These chapters cover the following topics: * design * novice misconceptions * programming environments for novices * algorithm visualisation * a schema theory view on learning to program * critical theory as a theoretical approach to computer science education research Juxtaposed and taken together, these chapters indicate just how varied the perspectives and research approaches can be. These chapters, too, act as entry points, with illustrations drawn from published work. |
| computer science masters uw: The Master Algorithm Pedro Domingos, 2015-09-22 Recommended by Bill Gates A thought-provoking and wide-ranging exploration of machine learning and the race to build computer intelligences as flexible as our own In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible. |
| computer science masters uw: The Ph.D. Process Dale F. Bloom, Jonathan D. Karp, Nicholas Cohen, 1999-02-25 The Ph.D. Process offers the essential guidance that students in the biological and physical sciences need to get the most out of their years in graduate school. Drawing upon the insights of numerous current and former graduate students, this book presents a rich portrayal of the intellectual and emotional challenges inherent in becoming a scientist, and offers the informed, practical advice a best friend would give about each stage of the graduate school experience. What are the best strategies for applying to a graduate program? How are classes conducted? How should I choose an advisor and a research project? What steps can I take now to make myself more employable when I get my degree? What goes on at the oral defense? Through a balanced, thorough examination of issues ranging from lab etiquette to research stress, the authors--each a Ph.D. in the sciences--provide the vital information that will allow students to make informed decisions all along the way to the degree. Headlined sections within each chapter make it fast and easy to look up any subject, while dozens of quotes describing personal experiences in graduate programs from people in diverse scientific fields contribute invaluable real-life expertise. Special attention is also given to the needs of international students. Read in advance, this book prepares students for each step of the graduate school experience that awaits them. Read during the course of a graduate education, it serves as a handy reference covering virtually all major issues and decisions a doctoral candidate is likely to face. The Ph.D. Process is the one book every graduate student in the biological and physical sciences can use to stay a step ahead, from application all the way through graduation. |
| computer science masters uw: Getting What You Came For Robert Peters, 2023-08-29 Is graduate school right for you? Should you get a master's or a Ph.D.? How can you choose the best possible school? This classic guide helps students answer these vital questions and much more. It will also help graduate students finish in less time, for less money, and with less trouble. Based on interviews with career counselors, graduate students, and professors, Getting What You Came For is packed with real-life experiences. It has all the advice a student will need not only to survive but to thrive in graduate school, including: instructions on applying to school and for financial aid; how to excel on qualifying exams; how to manage academic politics—including hostile professors; and how to write and defend a top-notch thesis. Most important, it shows you how to land a job when you graduate. |
| computer science masters uw: Human-Centered Data Science Cecilia Aragon, Shion Guha, Marina Kogan, Michael Muller, Gina Neff, 2022-03-01 Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets. Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques. This book, written by founders of the field, introduces best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of very large datasets. It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and presents practical guidelines and real-world case studies to help readers apply these methods. The authors explain how data scientists’ choices are involved at every stage of the data science workflow—and show how a human-centered approach can enhance each one, by making the process more transparent, asking questions, and considering the social context of the data. They describe how tools from social science might be incorporated into data science practices, discuss different types of collaboration, and consider data storytelling through visualization. The book shows that data science practitioners can build rigorous and ethical algorithms and design projects that use cutting-edge computational tools and address social concerns. |
| computer science masters uw: Tomorrow's Professor Richard M. Reis, 2012-03-16 Tomorrow's Professor is designed to help you prepare for, find, and succeed at academic careers in science and engineering. It looks at the full range of North American four-year academic institutions while featuring 30 vignettes and more than 50 individual stories that bring to life the principles and strategies outlined in the book. Tailored for today's graduate students, postdocs, and beginning professors, Tomorrow's Professor: Presents a no-holds-barred look at the academic enterprise Describes a powerful preparation strategy to make you competitive for academic positions while maintaining your options for worthwhile careers in government and industry Explains how to get the offer you want and start-up package you need to help ensure success in your first critical years on the job Provides essential insights from experienced faculty on how to develop a rewarding academic career and a quality of life that is both balanced and fulfilling NEW Bonus material is available for free download at http://booksupport.wiley.com At a time when anxiety about academic career opportunities for Ph.D.s in these field is at an all-time high, Tomorrow's Professor provides a much-needed practical approach to career development. |
| computer science masters uw: A PhD Is Not Enough! Peter J. Feibelman, 2011-01-11 Everything you ever need to know about making it as a scientist. Despite your graduate education, brainpower, and technical prowess, your career in scientific research is far from assured. Permanent positions are scarce, science survival is rarely part of formal graduate training, and a good mentor is hard to find. In A Ph.D. Is Not Enough!, physicist Peter J. Feibelman lays out a rational path to a fulfilling long-term research career. He offers sound advice on selecting a thesis or postdoctoral adviser; choosing among research jobs in academia, government laboratories, and industry; preparing for an employment interview; and defining a research program. The guidance offered in A Ph.D. Is Not Enough! will help you make your oral presentations more effective, your journal articles more compelling, and your grant proposals more successful. A classic guide for recent and soon-to-be graduates, A Ph.D. Is Not Enough! remains required reading for anyone on the threshold of a career in science. This new edition includes two new chapters and is revised and updated throughout to reflect how the revolution in electronic communication has transformed the field. |
| computer science masters uw: Programming Interviews Exposed John Mongan, Noah Suojanen Kindler, Eric Giguère, 2011-08-10 The pressure is on during the interview process but with the right preparation, you can walk away with your dream job. This classic book uncovers what interviews are really like at America's top software and computer companies and provides you with the tools to succeed in any situation. The authors take you step-by-step through new problems and complex brainteasers they were asked during recent technical interviews. 50 interview scenarios are presented along with in-depth analysis of the possible solutions. The problem-solving process is clearly illustrated so you'll be able to easily apply what you've learned during crunch time. You'll also find expert tips on what questions to ask, how to approach a problem, and how to recover if you become stuck. All of this will help you ace the interview and get the job you want. What you will learn from this book Tips for effectively completing the job application Ways to prepare for the entire programming interview process How to find the kind of programming job that fits you best Strategies for choosing a solution and what your approach says about you How to improve your interviewing skills so that you can respond to any question or situation Techniques for solving knowledge-based problems, logic puzzles, and programming problems Who this book is for This book is for programmers and developers applying for jobs in the software industry or in IT departments of major corporations. Wrox Beginning guides are crafted to make learning programming languages and technologies easier than you think, providing a structured, tutorial format that will guide you through all the techniques involved. |
| computer science masters uw: Early Childhood Gifted Education Nancy B. Hertzog, 2008-03-15 Early Childhood Gifted Education presents an array of strategies that facilitate the growth and development of young gifted children. From creating a literacy-rich environment to affording opportunities for inquiry, the implementation of the strategies presented is sure to empower young children to pursue and develop their gifts and talents. This is one of the books in Prufrock Press' popular Practical Strategies Series in Gifted Education. This series offers a unique collection of tightly focused books that provide a concise, practical introduction to important topics concerning the education of gifted children. The guides offer a perfect beginner's introduction to key information about gifted and talented education. |
| computer science masters uw: So You Want to Talk About Race Ijeoma Oluo, 2019-09-24 In this #1 New York Times bestseller, Ijeoma Oluo offers a revelatory examination of race in America Protests against racial injustice and white supremacy have galvanized millions around the world. The stakes for transformative conversations about race could not be higher. Still, the task ahead seems daunting, and it’s hard to know where to start. How do you tell your boss her jokes are racist? Why did your sister-in-law hang up on you when you had questions about police reform? How do you explain white privilege to your white, privileged friend? In So You Want to Talk About Race, Ijeoma Oluo guides readers of all races through subjects ranging from police brutality and cultural appropriation to the model minority myth in an attempt to make the seemingly impossible possible: honest conversations about race, and about how racism infects every aspect of American life. Simply put: Ijeoma Oluo is a necessary voice and intellectual for these times, and any time, truth be told. ―Phoebe Robinson, New York Times bestselling author of You Can't Touch My Hair |
| computer science masters uw: Building Problem Solvers Kenneth D. Forbus, Johan De Kleer, 1993 After working through Building Problem Solvers, readers should have a deep understanding of pattern directed inference systems, constraint languages, and truth maintenance systems. |
| computer science masters uw: The Last Lecture Randy Pausch, Jeffrey Zaslow, 2010 The author, a computer science professor diagnosed with terminal cancer, explores his life, the lessons that he has learned, how he has worked to achieve his childhood dreams, and the effect of his diagnosis on him and his family. |
| computer science masters uw: Career Guide to Industries , 2006 |
| computer science masters uw: Reprogramming Japan Marie Anchordoguy, 2015-09-11 How have state policies influenced the development of Japan's telecommunications, computer hardware, computer software, and semiconductor industries and their stagnation since the 1990s? Marie Anchordoguy's book examines how the performance of these industries and the economy as a whole are affected by the socially embedded nature of Japan's capitalist system, which she calls communitarian capitalism.Reprogramming Japan shows how the institutions and policies that emerged during and after World War II to maintain communitarian norms, such as the lifetime employment system, seniority-based wages, enterprise unions, a centralized credit-based financial system, industrial groups, the main bank corporate governance system, and industrial policies, helped promote high tech industries. When conditions shifted in the 1980s and 1990s, these institutions and policies did not suit the new environment, in which technological change was rapid and unpredictable and foreign products could no longer be legally reverse-engineered.Despite economic stagnation, leaders were slow to change because of deep social commitments. Once the crisis became acute, the bureaucracy and corporate leaders started to contest and modify key institutions and practices. Rather than change at different times according to their specific economic interests, Japanese firms and the state have made similar slow, incremental changes. |
| computer science masters uw: White Awareness Judy H. Katz, 1978 Stage 1. |
| computer science masters uw: Analytics and Knowledge Management Suliman Hawamdeh, Hsia-Ching Chang, 2018-08-06 The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics technique. Analytics and Knowledge Management examines the role of analytics in knowledge management and the integration of big data theories, methods, and techniques into an organizational knowledge management framework. Its chapters written by researchers and professionals provide insight into theories, models, techniques, and applications with case studies examining the use of analytics in organizations. The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics techniques. Analytics, on the other hand, is the examination, interpretation, and discovery of meaningful patterns, trends, and knowledge from data and textual information. It provides the basis for knowledge discovery and completes the cycle in which knowledge management and knowledge utilization happen. Organizations should develop knowledge focuses on data quality, application domain, selecting analytics techniques, and on how to take actions based on patterns and insights derived from analytics. Case studies in the book explore how to perform analytics on social networking and user-based data to develop knowledge. One case explores analyze data from Twitter feeds. Another examines the analysis of data obtained through user feedback. One chapter introduces the definitions and processes of social media analytics from different perspectives as well as focuses on techniques and tools used for social media analytics. Data visualization has a critical role in the advancement of modern data analytics, particularly in the field of business intelligence and analytics. It can guide managers in understanding market trends and customer purchasing patterns over time. The book illustrates various data visualization tools that can support answering different types of business questions to improve profits and customer relationships. This insightful reference concludes with a chapter on the critical issue of cybersecurity. It examines the process of collecting and organizing data as well as reviewing various tools for text analysis and data analytics and discusses dealing with collections of large datasets and a great deal of diverse data types from legacy system to social networks platforms. |
| computer science masters uw: Patching Development Rajesh Veeraraghavan, 2021-12-16 Diving into an original and unusually positive case study from India, Patching Development shows how development programs can be designed to work. How can development programs deliver benefits to marginalized citizens in ways that expand their rights and freedoms? Political will and good policy design are critical but often insufficient due to resistance from entrenched local power systems. In Patching Development, Rajesh Veeraraghavan presents an ethnography of one of the largest development programs in the world, the Indian National Rural Employment Guarantee Act (NREGA), and examines NREGA's implementation in the South Indian state of Andhra Pradesh. He finds that the local system of power is extremely difficult to transform, not because of inertia, but because of coercive counter strategy from actors at the last mile and their ability to exploit information asymmetries. Upper-level NREGA bureaucrats in Andhra Pradesh do not possess the capacity to change the power axis through direct confrontation with local elites, but instead have relied on a continuous series of responses that react to local implementation and information, a process of patching development. Patching development is a top-down, fine-grained, iterative socio-technical process that makes local information about implementation visible through technology and enlists participation from marginalized citizens through social audits. These processes are neither neat nor orderly and have led to a contentious sphere where the exercise of power over documents, institutions and technology is intricate, fluid and highly situated. A highly original account with global significance, this book casts new light on the challenges and benefits of using information and technology in novel ways to implement development programs. |
| computer science masters uw: Research in Biological and Medical Sciences Walter Reed Army Institute of Research, 1973 |
| computer science masters uw: Technologies for Development Silvia Hostettler, Eileen Hazboun, Jean-Claude Bolay, 2015-05-04 The book presents case studies from Africa, Asia and Latin America addressing global development issues in the fields of health, energy, ICT and urbanism in an interdisciplinary way. The book illustrates key issues at the interface of technology, human, social, and economic development. Bringing together the best papers of the 2014 EPFL-UNESCO Conference on Technologies for Development, this book explores innovative technologies in the global South. It will be a valuable reference for researchers from engineering, natural sciences, information management, quantitative social sciences, and business faculties, as well as for development practitioners and policy makers. It shows the development potential of technologies, and discusses successful processes to develop and deploy them, as well how to evaluate their impact. The introduction to the book begins with a reflection on key issues regarding technologies for development. The following four sections focus on; (i) Innovative Technologies for Development, (ii) Open Source-Open Access-Open Innovation, (iii) Medical Technologies for the Global South, and (iv) Impact Assessment of Technologies for Development. Individual chapters explore issues such as a need for solid standards for newly developed technologies, how to successfully up-scale technology to a larger region, and how to involve private industry in the development of a technology. |
| computer science masters uw: Mathematical Epidemiology Fred Brauer, Pauline van den Driessche, J. Wu, 2008-04-30 Based on lecture notes of two summer schools with a mixed audience from mathematical sciences, epidemiology and public health, this volume offers a comprehensive introduction to basic ideas and techniques in modeling infectious diseases, for the comparison of strategies to plan for an anticipated epidemic or pandemic, and to deal with a disease outbreak in real time. It covers detailed case studies for diseases including pandemic influenza, West Nile virus, and childhood diseases. Models for other diseases including Severe Acute Respiratory Syndrome, fox rabies, and sexually transmitted infections are included as applications. Its chapters are coherent and complementary independent units. In order to accustom students to look at the current literature and to experience different perspectives, no attempt has been made to achieve united writing style or unified notation. Notes on some mathematical background (calculus, matrix algebra, differential equations, and probability) have been prepared and may be downloaded at the web site of the Centre for Disease Modeling (www.cdm.yorku.ca). |
| computer science masters uw: Brain-Computer Interfacing Rajesh P. N. Rao, 2013-09-30 The idea of interfacing minds with machines has long captured the human imagination. Recent advances in neuroscience and engineering are making this a reality, opening the door to restoration and augmentation of human physical and mental capabilities. Medical applications such as cochlear implants for the deaf and neurally controlled prosthetic limbs for the paralyzed are becoming almost commonplace. Brain-computer interfaces (BCIs) are also increasingly being used in security, lie detection, alertness monitoring, telepresence, gaming, education, art, and human augmentation. This introduction to the field is designed as a textbook for upper-level undergraduate and first-year graduate courses in neural engineering or brain-computer interfacing for students from a wide range of disciplines. It can also be used for self-study and as a reference by neuroscientists, computer scientists, engineers, and medical practitioners. Key features include questions and exercises in each chapter and a supporting website. |
| computer science masters uw: Bears Guide to Earning Degrees by Distance Learning Mariah Bear, Mariah P. Bear, Thomas Nixon, 2006 Identifies colleges and universities that offer a non-traditional way to gain a bachelor's, master's, or doctorate degree. |
| computer science masters uw: Machine Learning Bookcamp Alexey Grigorev, 2021-11-23 The only way to learn is to practice! In Machine Learning Bookcamp, you''ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image and text analysis, each new project builds on what you''ve learned in previous chapters. By the end of the bookcamp, you''ll have built a portfolio of business-relevant machine learning projects that hiring managers will be excited to see. about the technology Machine learning is an analysis technique for predicting trends and relationships based on historical data. As ML has matured as a discipline, an established set of algorithms has emerged for tackling a wide range of analysis tasks in business and research. By practicing the most important algorithms and techniques, you can quickly gain a footing in this important area. Luckily, that''s exactly what you''ll be doing in Machine Learning Bookcamp. about the book In Machine Learning Bookcamp you''ll learn the essentials of machine learning by completing a carefully designed set of real-world projects. Beginning as a novice, you''ll start with the basic concepts of ML before tackling your first challenge: creating a car price predictor using linear regression algorithms. You''ll then advance through increasingly difficult projects, developing your skills to build a churn prediction application, a flight delay calculator, an image classifier, and more. When you''re done working through these fun and informative projects, you''ll have a comprehensive machine learning skill set you can apply to practical on-the-job problems. what''s inside Code fundamental ML algorithms from scratch Collect and clean data for training models Use popular Python tools, including NumPy, Pandas, Scikit-Learn, and TensorFlow Apply ML to complex datasets with images and text Deploy ML models to a production-ready environment about the reader For readers with existing programming skills. No previous machine learning experience required. about the author Alexey Grigorev has more than ten years of experience as a software engineer, and has spent the last six years focused on machine learning. Currently, he works as a lead data scientist at the OLX Group, where he deals with content moderation and image models. He is the author of two other books on using Java for data science and TensorFlow for deep learning. |
| computer science masters uw: Probabilistic Databases Dan Suciu, Dan Olteanu, Christoph Koch, 2011 Probabilistic databases are databases where the value of some attributes or the presence of some records are uncertain and known only with some probability. Applications in many areas such as information extraction, RFID and scientific data management, data cleaning, data integration, and financial risk assessment produce large volumes of uncertain data, which are best modeled and processed by a probabilistic database. This book presents the state of the art in representation formalisms and query processing techniques for probabilistic data. It starts by discussing the basic principles for representing large probabilistic databases, by decomposing them into tuple-independent tables, block-independent-disjoint tables, or U-databases. Then it discusses two classes of techniques for query evaluation on probabilistic databases. In extensional query evaluation, the entire probabilistic inference can be pushed into the database engine and, therefore, processed as effectively as the evaluation of standard SQL queries. The relational queries that can be evaluated this way are called safe queries. In intensional query evaluation, the probabilistic inference is performed over a propositional formula called lineage expression: every relational query can be evaluated this way, but the data complexity dramatically depends on the query being evaluated, and can be #P-hard. The book also discusses some advanced topics in probabilistic data management such as top-k query processing, sequential probabilistic databases, indexing and materialized views, and Monte Carlo databases. Table of Contents: Overview / Data and Query Model / The Query Evaluation Problem / Extensional Query Evaluation / Intensional Query Evaluation / Advanced Techniques |
| computer science masters uw: Computer Science Illuminated Nell B. Dale, John Lewis, 2013 Revised and updated with the latest information in the field, the Fifth Edition of best-selling Computer Science Illuminated continues to provide students with an engaging breadth-first overview of computer science principles and provides a solid foundation for those continuing their study in this dynamic and exciting discipline. Authored by two of today's most respected computer science educators, Nell Dale and John Lewis, the text carefully unfolds the many layers of computing from a language-neutral perspective, beginning with the information layer, progressing through the hardware, programming, operating systems, application, and communication layers, and ending with a discussion on the limitations of computing. Separate program language chapters are available as bundle items for instructors who would like to explore a particular programming language with their students. Ideal for introductory computing and computer science courses, the fifth edition's thorough presentation of computing systems provides computer science majors with a solid foundation for further study, and offers non-majors a comprehensive and complete introduction to computing. New Features of the Fifth Edition: - Includes a NEW chapter on computer security (chapter 17) to provide readers with the latest information, including discussions on preventing unauthorized access and guidelines for creating effective passwords, types of malware anti-virus software, problems created by poor programming, protecting your online information including data collection issues with Facebook, Google, etc., and security issues with mobile and portable devices. - A NEW section on cloud computing (chapter 15) offers readers an overview of the latest way in which businesses and users interact with computers and mobile devices. - The section on social networks (moved to chapter 16) has been rewritten to include up-to-date information, including new data on Google+ and Facebook. - The sections covering HTML have been updated to include HTML5. - Includes revised and updated Did You Know callouts in the chapter margins. - The updated Ethical Issues at the end of each chapter have been revised to tie the content to the recently introduced tenth strand recommended by the ACM stressing the importance of computer ethics. Instructor Resources: -Answers to the end of chapter exercises -Answers to the lab exercises -PowerPoint Lecture Outlines -PowerPoint Image Bank -Test Bank Every new copy is packaged with a free access code to the robust Student Companion Website featuring: Animated Flashcards; Relevant Web Links; Crossword Puzzles; Interactive Glossary; Step by step tutorial on web page development; Digital Lab Manual; R. Mark Meyer's labs, Explorations in Computer Science; Additional programming chapters, including Alice, C++, Java, JavaScript, Pascal, Perl, Python, Ruby, SQL, and VB.NET; C++ Language Essentials labs; Java Language Essentials labs; Link to Download Pep/8 |
| computer science masters uw: Data-Driven Science and Engineering Steven L. Brunton, J. Nathan Kutz, 2022-05-05 A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®. |
| computer science masters uw: CUCKOO'S EGG Clifford Stoll, 2012-05-23 Before the Internet became widely known as a global tool for terrorists, one perceptive U.S. citizen recognized its ominous potential. Armed with clear evidence of computer espionage, he began a highly personal quest to expose a hidden network of spies that threatened national security. But would the authorities back him up? Cliff Stoll's dramatic firsthand account is a computer-age detective story, instantly fascinating [and] astonishingly gripping (Smithsonian). Cliff Stoll was an astronomer turned systems manager at Lawrence Berkeley Lab when a 75-cent accounting error alerted him to the presence of an unauthorized user on his system. The hacker's code name was Hunter—a mysterious invader who managed to break into U.S. computer systems and steal sensitive military and security information. Stoll began a one-man hunt of his own: spying on the spy. It was a dangerous game of deception, broken codes, satellites, and missile bases—a one-man sting operation that finally gained the attention of the CIA . . . and ultimately trapped an international spy ring fueled by cash, cocaine, and the KGB. |
| computer science masters uw: Digest of Education Statistics 2009 , 2010 Contains information on a variety of subjects within the field of education statistics, including the number of schools and colleges, enrollments, teachers, graduates, educational attainment, finances, Federal funds for education, libraries, international education, and research and development. |
| computer science masters uw: Data on the Web Serge Abiteboul, Peter Buneman, Dan Suciu, 2000 Data model. Queries. Types. Sysems. A syntax for data. XML.. Query languages. Query languages for XML. Interpretation and advanced features. Typing semistructured data. Query processing. The lore system. Strudel. Database products supporting XML. Bibliography. Index. About the authors. |
| computer science masters uw: Programs and Services National Library of Medicine (U.S.), 2010 |
| computer science masters uw: Probabilistic Models of the Brain Rajesh P.N. Rao, Bruno A. Olshausen, Michael S. Lewicki, 2002-03-29 A survey of probabilistic approaches to modeling and understanding brain function. Neurophysiological, neuroanatomical, and brain imaging studies have helped to shed light on how the brain transforms raw sensory information into a form that is useful for goal-directed behavior. A fundamental question that is seldom addressed by these studies, however, is why the brain uses the types of representations it does and what evolutionary advantage, if any, these representations confer. It is difficult to address such questions directly via animal experiments. A promising alternative is to use probabilistic principles such as maximum likelihood and Bayesian inference to derive models of brain function. This book surveys some of the current probabilistic approaches to modeling and understanding brain function. Although most of the examples focus on vision, many of the models and techniques are applicable to other modalities as well. The book presents top-down computational models as well as bottom-up neurally motivated models of brain function. The topics covered include Bayesian and information-theoretic models of perception, probabilistic theories of neural coding and spike timing, computational models of lateral and cortico-cortical feedback connections, and the development of receptive field properties from natural signals. |
| computer science masters uw: Age Discrimination in Employment Act of 1967 United States. Employment Standards Administration. Wage and Hour Division, 1975 |
| computer science masters uw: 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 |
| computer science masters uw: Innovative Strategies and Approaches for End-User Computing Advancements Dwivedi, Ashish, 2012-09-30 As the use of internet applications with client server architecture and web browsers have increased the ability to draw on information, many managers now face the challenge of making effective decisions based on this data. Integrating end users into computer environments aid in the impact, design, and development that computer models have on performance and productivity. Innovative Strategies and Approaches for End-User Computing Advancements presents comprehensive research on the implementation of organizational and end user computing initiatives to further understand this discipline and its related fields. This book aims to bring together information technology educators, researchers, and practitioners who strive to advance the practice and understanding of organizational and end user computing. |
| computer science masters uw: The Elements of Computing Systems Noam Nisan, Shimon Schocken, 2008 This title gives students an integrated and rigorous picture of applied computer science, as it comes to play in the construction of a simple yet powerful computer system. |
| computer science masters uw: 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. |
| computer science masters uw: A Hands-On Introduction to Machine Learning Chirag Shah, 2022-12-31 A self-contained and practical introduction that assumes no prior knowledge of programming or machine learning. |
| computer science masters uw: ICCSM2013-Proceedings of the International Conference on Cloud Security Management Barbara Endicott-Popovsky, 2013-01-09 |
| computer science masters uw: Programs and Plans Environmental Research Laboratories (U.S.), 1992 |
| computer science masters uw: National Library of Medicine Programs and Services National Library of Medicine (U.S.), |
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What is Computer? Definition, Characteristics and Classification
Aug 7, 2024 · A computer is an electronic device wherein we need to input raw data to be processed with a set of programs to produce a desirable output. Computers have the ability to …
Computer - Wikipedia
A computer is a machine that can be programmed to automatically carry out sequences of arithmetic or logical operations (computation). Modern digital electronic computers can …
Computer | Definition, History, Operating Systems, & Facts
A computer is a programmable device for processing, storing, and displaying information. Learn more in this article about modern digital electronic computers and their design, constituent …
What is a Computer?
Feb 6, 2025 · What is a Computer? A computer is a programmable device that stores, retrieves, and processes data. The term "computer" was originally given to humans (human computers) …
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What is a Computer? - GeeksforGeeks
Apr 7, 2025 · A computer is an electronic device that processes, stores, and executes instructions to perform tasks. It includes key components such as the CPU (Central Processing Unit), RAM …
Computer Basics: What is a Computer? - GCFGlobal.org
What is a computer? A computer is an electronic device that manipulates information, or data. It has the ability to store, retrieve, and process data. You may already know that you can use a …
What is a Computer? (Definition & Meaning) - Webopedia
Oct 9, 2024 · A computer is a programmable machine that responds to specific instructions and uses hardware and software to perform tasks. Different types of computers, including …
Computer - Simple English Wikipedia, the free encyclopedia
A computer is a machine that uses electronics to input, process, store, and output data. Data is information such as numbers, words, and lists. Input of data means to read information from a …
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Buy the computer that fits your exact needs. Choose from laptops, desktops PCs, notebooks, and accessories. Invest in a quality computer for work or personal use.
What is Computer? Definition, Characteristics and Classification
Aug 7, 2024 · A computer is an electronic device wherein we need to input raw data to be processed with a set of programs to produce a desirable output. Computers have the ability to …
