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| asu computer science reddit: Java Concepts Cay S. Horstmann, 2016-11-16 With Wiley’s Enhanced E-Text, you get all the benefits of a downloadable, reflowable eBook with added resources to make your study time more effective, including: • Code Walkthrough • Video Examples • Code Rearrange Interactivities • Worked Examples • Self-Check Exercises The third edition of Java Concepts, Late Objects (formerly Java for Everyone) provides an approachable introduction to fundamental programming techniques and design skills, helping students master basic concepts and become competent coders. The third edition is thoroughly updated for Java 8, includes new problem solving sections, and more exercises, some from science, engineering, and business. Most importantly, the Enhanced eText contains hundreds of activities for students to practice programming. The text is known for its realistic programming examples, great quantity and variety of homework assignments, and programming exercises that build student problem-solving abilities. Additional visual design elements make this student-friendly text even more engaging. The Enhanced E-Text is also available bundled with an abridged print companion and can be ordered by contacting customer service here: ISBN: 9781119398998 Price: $81.95 Canadian Price: $91.50 |
| asu computer science reddit: Algorithms Robert Sedgewick, Kevin Wayne, 2014-02-01 This book is Part I of the fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part I contains Chapters 1 through 3 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the Online Course link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience. |
| asu computer science reddit: Strengthening Forensic Science in the United States National Research Council, Division on Engineering and Physical Sciences, Committee on Applied and Theoretical Statistics, Policy and Global Affairs, Committee on Science, Technology, and Law, Committee on Identifying the Needs of the Forensic Sciences Community, 2009-07-29 Scores of talented and dedicated people serve the forensic science community, performing vitally important work. However, they are often constrained by lack of adequate resources, sound policies, and national support. It is clear that change and advancements, both systematic and scientific, are needed in a number of forensic science disciplines to ensure the reliability of work, establish enforceable standards, and promote best practices with consistent application. Strengthening Forensic Science in the United States: A Path Forward provides a detailed plan for addressing these needs and suggests the creation of a new government entity, the National Institute of Forensic Science, to establish and enforce standards within the forensic science community. The benefits of improving and regulating the forensic science disciplines are clear: assisting law enforcement officials, enhancing homeland security, and reducing the risk of wrongful conviction and exoneration. Strengthening Forensic Science in the United States gives a full account of what is needed to advance the forensic science disciplines, including upgrading of systems and organizational structures, better training, widespread adoption of uniform and enforceable best practices, and mandatory certification and accreditation programs. While this book provides an essential call-to-action for congress and policy makers, it also serves as a vital tool for law enforcement agencies, criminal prosecutors and attorneys, and forensic science educators. |
| asu computer science reddit: How to Prove It Daniel J. Velleman, 2006-01-16 Many students have trouble the first time they take a mathematics course in which proofs play a significant role. This new edition of Velleman's successful text will prepare students to make the transition from solving problems to proving theorems by teaching them the techniques needed to read and write proofs. The book begins with the basic concepts of logic and set theory, to familiarize students with the language of mathematics and how it is interpreted. These concepts are used as the basis for a step-by-step breakdown of the most important techniques used in constructing proofs. The author shows how complex proofs are built up from these smaller steps, using detailed 'scratch work' sections to expose the machinery of proofs about the natural numbers, relations, functions, and infinite sets. To give students the opportunity to construct their own proofs, this new edition contains over 200 new exercises, selected solutions, and an introduction to Proof Designer software. No background beyond standard high school mathematics is assumed. This book will be useful to anyone interested in logic and proofs: computer scientists, philosophers, linguists, and of course mathematicians. |
| asu computer science reddit: Networks, Crowds, and Markets David Easley, Jon Kleinberg, 2010-07-19 Are all film stars linked to Kevin Bacon? Why do the stock markets rise and fall sharply on the strength of a vague rumour? How does gossip spread so quickly? Are we all related through six degrees of separation? There is a growing awareness of the complex networks that pervade modern society. We see them in the rapid growth of the internet, the ease of global communication, the swift spread of news and information, and in the way epidemics and financial crises develop with startling speed and intensity. This introductory book on the new science of networks takes an interdisciplinary approach, using economics, sociology, computing, information science and applied mathematics to address fundamental questions about the links that connect us, and the ways that our decisions can have consequences for others. |
| asu computer science reddit: Data Structures and Algorithm Analysis in Java, Third Edition Clifford A. Shaffer, 2012-09-06 Comprehensive treatment focuses on creation of efficient data structures and algorithms and selection or design of data structure best suited to specific problems. This edition uses Java as the programming language. |
| asu computer science reddit: Art Entrepreneurship Mikael Scherdin, Ivo Zander, 2011 This pioneering book explores the connections between art and artistic processes and entrepreneurship. The authors expertly identify several areas and issues where research on art and artistic processes can inform and develop the traditional field of entrepreneurship research. |
| asu computer science reddit: Handbook of Neural Engineering Metin Akay, 2007-01-09 An important new work establishing a foundation for future developments in neural engineering The Handbook of Neural Engineering provides theoretical foundations in computational neural science and engineering and current applications in wearable and implantable neural sensors/probes. Inside, leading experts from diverse disciplinary groups representing academia, industry, and private and government organizations present peer-reviewed contributions on the brain-computer interface, nano-neural engineering, neural prostheses, imaging the brain, neural signal processing, the brain, and neurons. The Handbook of Neural Engineering covers: Neural signal and image processing--the analysis and modeling of neural activity and EEG-related activities using the nonlinear and nonstationary analysis methods, including the chaos, fractal, and time-frequency and time-scale analysis methods--and how to measure functional, physiological, and metabolic activities in the human brain using current and emerging medical imaging technologies Neuro-nanotechnology, artificial implants, and neural prosthesis--the design of multi-electrode arrays to study how the neurons of human and animals encode stimuli, the evaluation of functional changes in neural networks after stroke and spinal cord injuries, and improvements in therapeutic applications using neural prostheses Neurorobotics and neural rehabilitation engineering--the recent developments in the areas of biorobotic system, biosonar head, limb kinematics, and robot-assisted activity to improve the treatment of elderly subjects at the hospital and home, as well as the interactions of the neuron chip, neural information processing, perception and neural dynamics, learning memory and behavior, biological neural networks, and neural control |
| asu computer science reddit: Labor-based Grading Contracts Asao B. Inoue, 2019 Asao B. Inoue argues for the use of labor-based grading contracts along with compassionate practices to determine course grades as a way to do social justice work with students. |
| asu computer science reddit: Women in Cybersecurity Jane LeClair, Denise Pheils, 2016-07-11 Provides a basic overview of the employment status of women in the cybersecurity field. |
| asu computer science reddit: Linear Models in Statistics Alvin C. Rencher, G. Bruce Schaalje, 2008-01-07 The essential introduction to the theory and application of linear models—now in a valuable new edition Since most advanced statistical tools are generalizations of the linear model, it is neces-sary to first master the linear model in order to move forward to more advanced concepts. The linear model remains the main tool of the applied statistician and is central to the training of any statistician regardless of whether the focus is applied or theoretical. This completely revised and updated new edition successfully develops the basic theory of linear models for regression, analysis of variance, analysis of covariance, and linear mixed models. Recent advances in the methodology related to linear mixed models, generalized linear models, and the Bayesian linear model are also addressed. Linear Models in Statistics, Second Edition includes full coverage of advanced topics, such as mixed and generalized linear models, Bayesian linear models, two-way models with empty cells, geometry of least squares, vector-matrix calculus, simultaneous inference, and logistic and nonlinear regression. Algebraic, geometrical, frequentist, and Bayesian approaches to both the inference of linear models and the analysis of variance are also illustrated. Through the expansion of relevant material and the inclusion of the latest technological developments in the field, this book provides readers with the theoretical foundation to correctly interpret computer software output as well as effectively use, customize, and understand linear models. This modern Second Edition features: New chapters on Bayesian linear models as well as random and mixed linear models Expanded discussion of two-way models with empty cells Additional sections on the geometry of least squares Updated coverage of simultaneous inference The book is complemented with easy-to-read proofs, real data sets, and an extensive bibliography. A thorough review of the requisite matrix algebra has been addedfor transitional purposes, and numerous theoretical and applied problems have been incorporated with selected answers provided at the end of the book. A related Web site includes additional data sets and SAS® code for all numerical examples. Linear Model in Statistics, Second Edition is a must-have book for courses in statistics, biostatistics, and mathematics at the upper-undergraduate and graduate levels. It is also an invaluable reference for researchers who need to gain a better understanding of regression and analysis of variance. |
| asu computer science reddit: Ethics for the Information Age Michael Jay Quinn, 2006 Widely praised for its balanced treatment of computer ethics, Ethics for the Information Age offers a modern presentation of the moral controversies surrounding information technology. Topics such as privacy and intellectual property are explored through multiple ethical theories, encouraging readers to think critically about these issues and to make their own ethical decisions. |
| asu computer science reddit: Concrete Mathematics Ronald L. Graham, Donald E. Knuth, Oren Patashnik, 1994-02-28 This book introduces the mathematics that supports advanced computer programming and the analysis of algorithms. The primary aim of its well-known authors is to provide a solid and relevant base of mathematical skills - the skills needed to solve complex problems, to evaluate horrendous sums, and to discover subtle patterns in data. It is an indispensable text and reference not only for computer scientists - the authors themselves rely heavily on it! - but for serious users of mathematics in virtually every discipline. Concrete Mathematics is a blending of CONtinuous and disCRETE mathematics. More concretely, the authors explain, it is the controlled manipulation of mathematical formulas, using a collection of techniques for solving problems. The subject matter is primarily an expansion of the Mathematical Preliminaries section in Knuth's classic Art of Computer Programming, but the style of presentation is more leisurely, and individual topics are covered more deeply. Several new topics have been added, and the most significant ideas have been traced to their historical roots. The book includes more than 500 exercises, divided into six categories. Complete answers are provided for all exercises, except research problems, making the book particularly valuable for self-study. Major topics include: Sums Recurrences Integer functions Elementary number theory Binomial coefficients Generating functions Discrete probability Asymptotic methods This second edition includes important new material about mechanical summation. In response to the widespread use of the first edition as a reference book, the bibliography and index have also been expanded, and additional nontrivial improvements can be found on almost every page. Readers will appreciate the informal style of Concrete Mathematics. Particularly enjoyable are the marginal graffiti contributed by students who have taken courses based on this material. The authors want to convey not only the importance of the techniques presented, but some of the fun in learning and using them. |
| asu computer science reddit: Future Rising Andrew Maynard, 2020-10-27 A scientist offers compelling visions and potential pitfalls of the future—in “a journey through time, space, and the human experience” (Dr. Tanya Harrison, coauthor of For All Humankind). Humanity has gained the ability not only to imagine the future, but to design and engineer it. At times entertaining, and at others profound, Future Rising provides an original perspective on our relationship with the future. As a species, we’ve become talented architects of our future—yet we often struggle to come to terms with what this means. As innovation and rapidly shifting norms and expectations drive our world at breakneck speed, we sometimes need to find a still, quiet place to pause and think. Future Rising creates such a place, where we can take advantage of our species’ knowledge of world history and the importance of science to piece together a positive future. To create a good future, we must rediscover the past. Our relationship with the future is inextricably intertwined with where we’ve come from, who we are, and what we aspire to. Future Rising starts at the beginning of all things with the Big Bang and traces a pathway along the emergence of intelligent life, through what makes humans uniquely capable of imagining and creating different futures. In a series of sixty short reflections, Andrew Maynard, a former physicist and nationally recognized expert in technology and society, will take you on a journey into: What “the future” actually is How it molds and guides our lives How we can use the history of the world to change our future “A thoughtful and thought-provoking response to the moment we’re in, chronicling how we got here, where we’re going, and what role we have in that journey.” —Ramona Pringle, Director of Creative Innovation Studio and Associate Professor, Ryerson University |
| asu computer science reddit: Algorithms, Part II Robert Sedgewick, Kevin Wayne, 2014-02-01 This book is Part II of the fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part II contains Chapters 4 through 6 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the Online Course link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience. |
| asu computer science reddit: Network Games Asu Ozdaglar, Ishai Menache, 2011-01-02 Traditional network optimization focuses on a single control objective in a network populated by obedient users and limited dispersion of information. However, most of today's networks are large-scale with lack of access to centralized information, consist of users with diverse requirements, and are subject to dynamic changes. These factors naturally motivate a new distributed control paradigm, where the network infrastructure is kept simple and the network control functions are delegated to individual agents which make their decisions independently (selfishly). The interaction of multiple independent decision-makers necessitates the use of game theory, including economic notions related to markets and incentives. This monograph studies game theoretic models of resource allocation among selfish agents in networks. The first part of the monograph introduces fundamental game theoretic topics. Emphasis is given to the analysis of dynamics in game theoretic situations, which is crucial for design and control of networked systems. The second part of the monograph applies the game theoretic tools for the analysis of resource allocation in communication networks. We set up a general model of routing in wireline networks, emphasizing the congestion problems caused by delay and packet loss. In particular, we develop a systematic approach to characterizing the inefficiencies of network equilibria, and highlight the effect of autonomous service providers on network performance. We then turn to examining distributed power control in wireless networks. We show that the resulting Nash equilibria can be efficient if the degree of freedom given to end-users is properly designed. Table of Contents: Static Games and Solution Concepts / Game Theory Dynamics / Wireline Network Games / Wireless Network Games / Future Perspectives |
| asu computer science reddit: Ultimate Go Notebook William Kennedy, 2021-07-08 |
| asu computer science reddit: Threatcasting Brian David Johnson, Cyndi Coon, Natalie Vanatta, 2022-06-01 Impending technological advances will widen an adversary’s attack plane over the next decade. Visualizing what the future will hold, and what new threat vectors could emerge, is a task that traditional planning mechanisms struggle to accomplish given the wide range of potential issues. Understanding and preparing for the future operating environment is the basis of an analytical method known as Threatcasting. It is a method that gives researchers a structured way to envision and plan for risks ten years in the future. Threatcasting uses input from social science, technical research, cultural history, economics, trends, expert interviews, and even a little science fiction to recognize future threats and design potential futures. During this human-centric process, participants brainstorm what actions can be taken to identify, track, disrupt, mitigate, and recover from the possible threats. Specifically, groups explore how to transform the future they desire into reality while avoiding an undesired future. The Threatcasting method also exposes what events could happen that indicate the progression toward an increasingly possible threat landscape. This book begins with an overview of the Threatcasting method with examples and case studies to enhance the academic foundation. Along with end-of-chapter exercises to enhance the reader’s understanding of the concepts, there is also a full project where the reader can conduct a mock Threatcasting on the topic of “the next biological public health crisis.” The second half of the book is designed as a practitioner’s handbook. It has three separate chapters (based on the general size of the Threatcasting group) that walk the reader through how to apply the knowledge from Part I to conduct an actual Threatcasting activity. This book will be useful for a wide audience (from student to practitioner) and will hopefully promote new dialogues across communities and novel developments in the area. |
| asu computer science reddit: Machine Learning and AI for Healthcare Arjun Panesar, 2019-02-04 Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You’ll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You’ll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things. What You'll LearnGain a deeper understanding of key machine learning algorithms and their use and implementation within wider healthcare Implement machine learning systems, such as speech recognition and enhanced deep learning/AI Select learning methods/algorithms and tuning for use in healthcare Recognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agentsWho This Book Is For Health care professionals interested in how machine learning can be used to develop health intelligence – with the aim of improving patient health, population health and facilitating significant care-payer cost savings. |
| asu computer science reddit: The 2-Hour Job Search Steve Dalton, 2012-03-06 A job-search manual that gives career seekers a systematic, tech-savvy formula to efficiently and effectively target potential employers and secure the essential first interview. The 2-Hour Job Search shows job-seekers how to work smarter (and faster) to secure first interviews. Through a prescriptive approach, Dalton explains how to wade through the Internet’s sea of information and create a job-search system that relies on mainstream technology such as Excel, Google, LinkedIn, and alumni databases to create a list of target employers, contact them, and then secure an interview—with only two hours of effort. Avoiding vague tips like “leverage your contacts,” Dalton tells job-hunters exactly what to do and how to do it. This empowering book focuses on the critical middle phase of the job search and helps readers bring organization to what is all too often an ineffectual and frustrating process. |
| asu computer science reddit: 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. |
| asu computer science reddit: Circuits & Pathways , 2003 sharing what they already know and what they would like to know about electricity. They are given an opportunity to use batteries, wire, bulbs, and motors to explore the concept of a complete circuit. Each Teacher Guide includes: Specific teaching and management strategies Detailed teaching sequences for teaching the first three phases of the Learning Experience (Getting Started; Exploring and Discovering; and Processing For Meaning) Reproducible masters for Student Science Notebook pages, Group Recording Sheets, and Home-School Worksheets Extension activities in science, language arts and social studies Assessment materials (an introductory questionnaire, embedded assessments, and a final questionnaire consisting of performance and written components) Science Background (provides general science concepts as they are introduced and developed in the module) to help prepare teacher Teacher and Student Resources section (annotated lists of children's books, teacher reference books, and technological aids) |
| asu computer science reddit: Practical Linear Algebra Gerald Farin, Dianne Hansford, 2021-10-12 Linear algebra is growing in importance. 3D entertainment, animations in movies and video games are developed using linear algebra. Animated characters are generated using equations straight out of this book. Linear algebra is used to extract knowledge from the massive amounts of data generated from modern technology. The Fourth Edition of this popular text introduces linear algebra in a comprehensive, geometric, and algorithmic way. The authors start with the fundamentals in 2D and 3D, then move on to higher dimensions, expanding on the fundamentals and introducing new topics, which are necessary for many real-life applications and the development of abstract thought. Applications are introduced to motivate topics. The subtitle, A Geometry Toolbox, hints at the book’s geometric approach, which is supported by many sketches and figures. Furthermore, the book covers applications of triangles, polygons, conics, and curves. Examples demonstrate each topic in action. This practical approach to a linear algebra course, whether through classroom instruction or self-study, is unique to this book. New to the Fourth Edition: Ten new application sections. A new section on change of basis. This concept now appears in several places. Chapters 14-16 on higher dimensions are notably revised. A deeper look at polynomials in the gallery of spaces. Introduces the QR decomposition and its relevance to least squares. Similarity and diagonalization are given more attention, as are eigenfunctions. A longer thread on least squares, running from orthogonal projections to a solution via SVD and the pseudoinverse. More applications for PCA have been added. More examples, exercises, and more on the kernel and general linear spaces. A list of applications has been added in Appendix A. The book gives instructors the option of tailoring the course for the primary interests of their students: mathematics, engineering, science, computer graphics, and geometric modeling. |
| asu computer science reddit: The Psychology of Call Reluctance George W. Dudley, Shannon L. Goodson, 1986 |
| asu computer science reddit: Mathematical Principles for Scientific Computing and Visualization Gerald Farin, Dianne Hansford, 2008-10-21 This non-traditional introduction to the mathematics of scientific computation describes the principles behind the major methods, from statistics, applied mathematics, scientific visualization, and elsewhere, in a way that is accessible to a large part of the scientific community. Introductory material includes computational basics, a review of coo |
| asu computer science reddit: Open Source Intelligence Tools and Resources Handbook i-intelligence, 2019-08-17 2018 version of the OSINT Tools and Resources Handbook. This version is almost three times the size of the last public release in 2016. It reflects the changing intelligence needs of our clients in both the public and private sector, as well as the many areas we have been active in over the past two years. |
| asu computer science reddit: The Future of Management Gary Hamel, Bill Breen, 2007 What fuels long-term business success? Not operational excellence, technology breakthroughs, or new business models, but management innovation—new ways of mobilizing talent, allocating resources, and formulating strategies. Through history, management innovation has enabled companies to cross new performance thresholds and build enduring advantages. In The Future of Management, Gary Hamel argues that organizations need management innovation now more than ever. Why? The management paradigm of the last century—centered on control and efficiency—no longer suffices in a world where adaptability and creativity drive business success. To thrive in the future, companies must reinvent management. Hamel explains how to turn your company into a serial management innovator, revealing: The make-or-break challenges that will determine competitive success in an age of relentless, head-snapping change. The toxic effects of traditional management beliefs. The unconventional management practices generating breakthrough results in “modern management pioneers.” The radical principles that will need to become part of every company’s “management DNA.” The steps your company can take now to build your “management advantage.” Practical and profound, The Future of Management features examples from Google, W.L. Gore, Whole Foods, IBM, Samsung, Best Buy, and other blue-ribbon management innovators. |
| asu computer science reddit: A Year Without a Winter Dehlia Hannah, 2018 This book brings together science fiction, history, visual art, and exploration to reframe the relationship among climate, crisis, and creation. A Year Without a Winter presents stories by four renowned science fiction authors alongside critical essays, extracts from Mary Shelley's Frankenstein, and dispatches from extreme geographies. |
| asu computer science reddit: Princeton Review AP Computer Science Principles Prep, 2022 The Princeton Review, 2021-08-03 Make sure you’re studying with the most up-to-date prep materials! Look for the newest edition of this title, The Princeton Review AP Computer Science Principles Prep, 2023 (ISBN: 9780593450734, on-sale August 2022). Publisher's Note: Products purchased from third-party sellers are not guaranteed by the publisher for quality or authenticity, and may not include access to online tests or materials included with the original product. |
| asu computer science reddit: Report of a Workshop on the Scope and Nature of Computational Thinking National Research Council, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Committee for the Workshops on Computational Thinking, 2010-04-20 Report of a Workshop on the Scope and Nature of Computational Thinking presents a number of perspectives on the definition and applicability of computational thinking. For example, one idea expressed during the workshop is that computational thinking is a fundamental analytical skill that everyone can use to help solve problems, design systems, and understand human behavior, making it useful in a number of fields. Supporters of this viewpoint believe that computational thinking is comparable to the linguistic, mathematical and logical reasoning taught to all children. Various efforts have been made to introduce K-12 students to the most basic and essential computational concepts and college curricula have tried to provide a basis for life-long learning of increasingly new and advanced computational concepts and technologies. At both ends of this spectrum, however, most efforts have not focused on fundamental concepts. The book discusses what some of those fundamental concepts might be. Report of a Workshop on the Scope and Nature of Computational Thinking explores the idea that as the use of computational devices is becoming increasingly widespread, computational thinking skills should be promulgated more broadly. The book is an excellent resource for professionals in a wide range of fields including educators and scientists. |
| asu computer science reddit: The Essentials of CAGD Gerald Farin, Dianne Hansford, 2000-10-25 Putting the G into CAGD, the authors provide a much-needed practical and basic introduction to computer-aided geometric design. This book will help readers understand and use the elements of computer-aided geometric design, curves and surfaces, without the mathematical baggage that is necessary only for more advanced work. Though only minimal background in mathematics is needed to understand the bookís concepts, the book covers an amazing array of topics such as Bezier and B-spline curves and their corresponding surfaces, subdivision surfaces, and NURBS (Non-Uniform Rational B-Splines). Also included are techniques such as interpolation and least squares methods. |
| asu computer science reddit: Dymaxion Car Norman Foster, Jonathan Glancey, 2010 Between 1933 and 1934 the visionary architect, designer, engineer and philosopher Buckminster Fuller (1895-1983) built three models for his Dymaxion Car; an automobile that was considered the most efficient of its time due to its meticulous design, based on the laws of aerodynamics. This book relates the history of the first three models for the Dymaxion Car, as well as the production process of Dymaxion 4, a new prototype built true to the original. This new prototype was produced by the architect Norman Foster and launched on the street in 2010. |
| asu computer science reddit: Grammar for Journalists E. L. Callihan, 1969 |
| asu computer science reddit: Algebra and Trigonometry Jay P. Abramson, Valeree Falduto, Rachael Gross (Mathematics teacher), David Lippman, Rick Norwood, Melonie Rasmussen, Nicholas Belloit, Jean-Marie Magnier, Harold Whipple, Christina Fernandez, 2015-02-13 The text is suitable for a typical introductory algebra course, and was developed to be used flexibly. While the breadth of topics may go beyond what an instructor would cover, the modular approach and the richness of content ensures that the book meets the needs of a variety of programs.--Page 1. |
| asu computer science reddit: Java Programming Ralph Bravaco, Shai Simonson, 2009-02-01 Java Programming, From The Ground Up, with its flexible organization, teaches Java in a way that is refreshing, fun, interesting and still has all the appropriate programming pieces for students to learn. The motivation behind this writing is to bring a logical, readable, entertaining approach to keep your students involved. Each chapter has a Bigger Picture section at the end of the chapter to provide a variety of interesting related topics in computer science. The writing style is conversational and not overly technical so it addresses programming concepts appropriately. Because of the flexibile organization of the text, it can be used for a one or two semester introductory Java programming class, as well as using Java as a second language. The text contains a large variety of carefully designed exercises that are more effective than the competition. |
| asu computer science reddit: Reinforcement Learning and Optimal Control Dimitri P. Bertsekas, 2020 |
| asu computer science reddit: MFT Licensing Exam Study Guide 2020-2021 Trivium Therapy Exam Prep Team, 2018-09 |
| asu computer science reddit: Overcoming the Achievement Gap Trap Anthony Muhammad, 2015 Explores the state of the academic achievement gap that exists in U.S. public schools, particularly among poor and minority students, and argues that the mindset that achievement gaps are inevitable are no longer tolerable. Explores ways to close the achievement gap via real-world case studies where principals and educators have adopted new mindsets for education. |
| asu computer science reddit: Diffusion Source Localization in Large Networks Lei Ying, Kai Zhu, 2018-06-18 Diffusion processes in large networks have been used to model many real-world phenomena, including how rumors spread on the Internet, epidemics among human beings, emotional contagion through social networks, and even gene regulatory processes. Fundamental estimation principles and efficient algorithms for locating diffusion sources can answer a wide range of important questions, such as identifying the source of a widely spread rumor on online social networks. This book provides an overview of recent progress on source localization in large networks, focusing on theoretical principles and fundamental limits. The book covers both discrete-time diffusion models and continuous-time diffusion models. For discrete-time diffusion models, the book focuses on the Jordan infection center; for continuous-time diffusion models, it focuses on the rumor center. Most theoretical results on source localization are based on these two types of estimators or their variants. This book also includes algorithms that leverage partial-time information for source localization and a brief discussion of interesting unresolved problems in this area. |
| asu computer science reddit: Third-Space Exploration in Education Kaye, Candace, Haynes Writer, Jeanette, 2023-08-07 The third space can simultaneously be a safe haven for experimentation and creativity and a risky space in which there is likely to be contestation and uncertainty. Understanding the strategic role in examining and activating third spaces is necessary, which applies not only to organizations that seek to apply the contemporary concept of third space in either digital or face-to-face settings but also to individuals who exist as actors in third-space environments. These organizations and individuals often have to perform outside of the first space, a dominant social or settler colonial identity group. Third-Space Exploration in Education investigates the knowledge, relationships, legitimacies, and languages that problematize and accommodate the paradoxes, tensions, and possibilities at the heart of understanding education-related third-space environments. The book is useful in providing insights and support for readers concerned with the creation, management, negotiation, or reconceptualization of expertise, knowledge, information, and organizational development within culturally diverse third-space communities and environments. This reference work is ideal for audiences in various disciplines centering on education as well as interdisciplinary areas or areas that can relate to education such as ethnic studies, sociology, psychology, medicine, technology, and business. |
在亚利桑那州立大学（ASU）就读是怎样一番体验？ - 知乎
asu广泛地和中国各大高校展开合作，3+2的硕士项目可以让国内学生省下一年时间。笔者知道的合作单位有华中科技大学，北京师范大学，四川大学和重庆大学。asu本科录取很简单，并且这 …
为什么亚利桑那州立大学排名一般但是口碑却很不错？？ - 知乎
ASU概况 我所就读的大学—亚利桑那州立大学（ASU）--是美国著名的研究型公立学校。该校目前有四个校区，其中一个坐落在亚利桑那州的州府和最大城市菲尼克斯（又译作凤凰城），另一 …
如何快速申请ASU亚利桑那州立大学？ - 知乎
亚利桑那州立大学巴雷特荣誉学院 ASU Barrett Honors College 巴雷特是隶属于亚利桑那州立大学ASU的一个所荣誉学院，创始于1988年，其 目标是为来自全美国、甚至全世界的学生提供精 …
美国亚利桑那州立大学（ASU）的在线硕士是否真的靠谱？ - 知乎
asu方才应该推进认证这个东西，让学生去跟留服纠结这个就是大型甩锅了吧。 发布于 2021-12-13 21:10 赞同 31 11 条评论
ASU的在线硕士是否真实靠谱? - 知乎
asu在线是美国亚利桑那州立大学asu官方开设的中文项目~ 必然是靠谱的。 该校的在线项目全球范围内已有4.1w多本科学生、1.3w多硕士学生。 US NEWS官网上可以查到ASU各专业在线项 …
如何评价谷歌的 Gemini flash 2.5 模型？ - 知乎
Sam Altman这下要吃不下饭了。来看看谷歌这短短不到一个月的组合拳: 1. 发布Gemini 2.5 Pro，迅速抢下大模型性能高地，而且还是价格屠夫，性价比秒杀o3和o4 mini;
会计准则IAS、IFRS、US GAAP之间的关系和区别是什么？ - 知乎
现在这个趋同计划已经名存实亡了，双方都不再着力推进，转而谋求在个别的具体问题上寻求趋同的可能（这比一个庞大的整体计划显然要现实得多），比如新的收入准则（asu 2014-09 和 …
什么是混合整数线性规划(MILP)模型？ - 知乎
知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭借认真、专业 …
在亚利桑那州立大学（ASU）就读是怎样一番体验？ - 知乎
asu广泛地和中国各大高校展开合作，3+2的硕士项目可以让国内学生省下一年时间。笔者知道的合作单位有华中科技大学，北京师范大学，四川大学和重庆大学。asu本科录取很简单，并且这 …
为什么亚利桑那州立大学排名一般但是口碑却很不错？？ - 知乎
ASU概况 我所就读的大学—亚利桑那州立大学（ASU）--是美国著名的研究型公立学校。该校目前有四个校区，其中一个坐落在亚利桑那州的州府和最大城市菲尼克斯（又译作凤凰城），另一 …
如何快速申请ASU亚利桑那州立大学？ - 知乎
亚利桑那州立大学巴雷特荣誉学院 ASU Barrett Honors College 巴雷特是隶属于亚利桑那州立大学ASU的一个所荣誉学院，创始于1988年，其 目标是为来自全美国、甚至全世界的学生提供精 …
美国亚利桑那州立大学（ASU）的在线硕士是否真的靠谱？ - 知乎
asu方才应该推进认证这个东西，让学生去跟留服纠结这个就是大型甩锅了吧。 发布于 2021-12-13 21:10 赞同 31 11 条评论
ASU的在线硕士是否真实靠谱? - 知乎
asu在线是美国亚利桑那州立大学asu官方开设的中文项目~ 必然是靠谱的。 该校的在线项目全球范围内已有4.1w多本科学生、1.3w多硕士学生。 US NEWS官网上可以查到ASU各专业在线项 …
如何评价谷歌的 Gemini flash 2.5 模型？ - 知乎
Sam Altman这下要吃不下饭了。来看看谷歌这短短不到一个月的组合拳: 1. 发布Gemini 2.5 Pro，迅速抢下大模型性能高地，而且还是价格屠夫，性价比秒杀o3和o4 mini;
会计准则IAS、IFRS、US GAAP之间的关系和区别是什么？ - 知乎
现在这个趋同计划已经名存实亡了，双方都不再着力推进，转而谋求在个别的具体问题上寻求趋同的可能（这比一个庞大的整体计划显然要现实得多），比如新的收入准则（asu 2014-09 和 …
什么是混合整数线性规划(MILP)模型？ - 知乎
知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭借认真、专业 …
