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• Monte-Carlo Tree Search in Board Games.- Action Games.- Motor Imagery.- and Control Strategies: Toward a Multi-button Controller.- Hand Gesture Interface for Entertainment Games.- Interactive Storytelling Paradigms and Representations: A Humanities-based Perspective.- Video Gaming on Ad Hoc Networks: Challenges and Solutions.- Serious games and their application in creating corporate identity.- Interface-Centric Art Games.- Design and Development of Playful Robotic Interfaces for Affective Telepresence.- Interactive Digital Narratives for iTV and Online Video.- Addiction and Entertainment Products.- Ethics.- Privacy and Trust in Serious Games.
• (source: Nielsen Book Data)

The topics treated in this handbook cover all areas of games and entertainment technologies, such as digital entertainment; technology, design/art, and sociology. The handbook consists of contributions from top class scholars and researchers from the interdisciplinary topic areas. The aim of this handbook is to serving as a key reference work in the field and provides readers with a holistic picture of this interdisciplinary field covering technical issues, aesthetic/design issues, and sociological issues. At present, there is no reference work in the field that provides such a broad and complete picture of the field. Engineers and researchers who want to learn about this emerging area will be able to find adequate answers regarding technology issues on digital entertainment. Designers and artists can learn how their skills and expertise can contribute to this emerging area. Also researchers working in the field of sociology and psychology will find how their experience and knowledge are connected to other areas such as technology and art/design. Although topics are written by foremost experts from the field, the description for each topic has been intended to be easily understandable but yet comprehensive enough so that it caters not only for the experts but also beginners and students in the field.
(source: Nielsen Book Data)

With the iOS 8.1 software and the new iPhone 6 and 6 Plus, Apple has taken its flagship products into new realms of power and beauty. The modern iPhone comes with everything--camera, music player, Internet, flashlight--except a printed manual. Fortunately, David Pogue is back with this expanded edition of his witty, full-color guide: the world's most popular iPhone book. The iPhone 6 and 6 Plus. This book unearths all the secrets of the newest iPhones. Bigger screens, faster chips, astonishing cameras, WiFi calling, Apple Pay, crazy thin. The iOS 8.1 software. Older iPhone models gain predictive typing, iCloud Drive, Family Sharing, "Hey Siri, " the Health app, and about 195 more new features. It's all here, in these pages. The apps. That catalog of 1.3 million add-on programs makes the iPhone's phone features almost secondary. Now you'll know how to find, exploit, and troubleshoot those apps. The iPhone may be the world's coolest computer, but it's still a computer, with all of a computer's complexities. iPhone: The Missing Manual is a funny, gorgeously illustrated guide to the tips, shortcuts, and workarounds that will turn you, too, into an iPhone master.
(source: Nielsen Book Data)

• 1. Innovation Education: The Emergence of a New Discipline
• 2. Innovation Education: Defining the Phenomenon
• 3. The Fundamentals of Innovation Education
• 4. How Advances in Gifted Education Contribute to Innovation Education, and Vice Versa
• 5. Innovation Education Meets Conceptual Change Research: Conceptual Analysis and Instructional Implications
• 6. New Brain-Imaging Studies Indicate How Prototyping is Related to Entrepreneurial Giftedness and Innovation Education in Children
• 7. How Can Scientific Innovators-Geniuses be Developed? The Case of Albert Einstein
• 8. From Creativity Education to Innovation Education: What Will It Take?
• 9. The Three-Ring Conception of Innovation and a Triad of Processes for Developing Creative Productivity in Young People--10. New Creative Education: When Creative Thinking, Entrepreneurial Education, and Innovative Education Come Together
• 11. Torrance's Innovator Meter and the Decline of Creativity in America
• 12. Do Not Overlook Innovators! Discussing the "Silent" Issues of the Assessment of Innovative Abilities in Today's Children-Tomorrow's Innovators
• 13. Innovation Education: Perspectives from Research and Practice in Gifted Education
• 14. An Application of the Schoolwide Enrichment Model and High-End Learning Theory to Innovation Education
• 15. Future Problem Solving as Education for Innovation
• 16. The Trajectory of Early Development of Prominent Innovators: Entrepreneurial Giftedness in Childhood
• 17. Educating Wizards: Developing Talent through Innovation Education
• 18. Where Did All Great Innovators Come From? Lessons from Early Childhood and Adolescent Education of Nobel Laureates in Science
• 19. Settings and Pedagogy in Innovation Education
• 20. Exploring Innovative Schools with Preservice Teachers
• 21. The Dynamic Curriculum: A Fresh View of Teaching Mathematics for Inspiring Innovation
• 22. School Textbooks as a Medium for the Intellectual Development of Children during the Mathematics Teaching Process
• 23. The Interfaces of Innovation in Mathematics and the Arts
• 24. NASA Press Releases and Mission Statements: Exploring the Mathematics behind the Science
• 25. Innovation in Science, Technology, Engineering, and Mathematics (STEM) Disciplines: Implications for Educational Practices
• 26. The Importance of Informal Learning in Science for Innovation Education
• 27. Designing an Innovative Approach to Engage Students in Learning Science: The Evolving Case of Hybridized Writing
• 28. An Integrated Approach to the Study of Biology
• 29. Socioscientific Innovation for the Common Good
• 30. The Role and Place of Science and Technology Education in Developing Innovation Education
• 31. Nurturing Innovation through Online Learning
• 32. E-Learning as Educational Innovation in Universities: Two Case Studies
• 33. Developing an Understanding of the Pedagogy of Using a Virtual Reality Learning Environment (VRLE) to Support Innovation Education
• 34. Creating an Innovative and Entrepreneurial Collegiate Academic Program
• 35. Educating the Innovation Managers of the Web 2.0 Age: A Problem-Based Learning Approach to User Innovation Training Programs
• 36. What Can Innovation Education Learn from Innovators with Longstanding Records of Breakthrough Innovations?
• 37. The Role of Entrepreneurs' Career Solidarity toward Innovation: An Irreplaceable Relationship in Career Capital Pyramid
• 38. Modeling the Firm-Constructing an Integrated Entrepreneurship Course for Undergraduate Engineers
• 39. Igniting the Spark: Utilization of Positive Emotions in Developing Radical Innovators
• 40. Introducing the Phenomenon of the "Abortion" of New Ideas and Describing the Impact of "Saved" Ideas and thus Implemented Innovations on the Economy in the Case of Distinguished Innovators
• 41. Innovation Education through Science, Technology, Engineering, and Math (STEM) Subjects - The UK Experience
• 42. Policy on Knowledge Exchange, Innovation and Entrepreneurship
• 43. The Worldwide Interest in Developing Innovators: The Case of the Center for Talented Youth
• 44. How Does Singapore Foster the Development of Innovators?
• 45. Overall Perspectives on the Future Promise (and Forward Thrusts) of Innovation Education.
• (source: Nielsen Book Data)

The Routledge International Handbook of Innovation Education is the international reference work on innovation education and potentially opens an entirely new direction in education. The overall goal of the handbook is to address the question of how to develop innovators in general and how to develop the innovative potential of today's young people with exceptional talents in science, technology, engineering, and maths (STEM) disciplines in particular. Today many governments around the world are interested in the development of STEM innovators. This handbook provides the first and most comprehensive account available of what should be done in order to develop innovators and how to do it successfully. It includes chapters by leading specialists from around the world responsible for much of the current research in the fields of innovation, gifted education, scientific talent, science education, and high ability studies. Based on the latest research findings and expert opinion, this book goes beyond mere anecdotes to consider what science can tell us about the development of innovators. By enlisting chapters from innovation experts, educators, psychologists, policy makers, and researchers in the field of management The Routledge International Handbook of Innovation Education will allow all of these scholars to speak to each other about how to develop innovators via innovation education, including such issues as: the nature of innovation education, its basis, main components and content, its criteria and specificity in various domains and contexts, societal demands placed upon it. This ground-breaking and potentially field defining work will thus serve as the first authoritative resource on all aspects of theory, research, and practice of innovation education.
(source: Nielsen Book Data)

• Overview
• Form and structure
• Process and time
• Compare and contrast
• Case studies
• Interactive graphics
• Visual index
• Appendix.

Any scientist or engineer who communicates research results will immediately recognize this practical handbook as an indispensable tool. The guide sets out clear strategies and offers abundant examples to assist researchers-even those with no previous design training-with creating effective visual graphics for use in multiple contexts, including journal submissions, grant proposals, conference posters, or presentations. Visual communicator Felice Frankel and systems biologist Angela DePace, along with experts in various fields, demonstrate how small changes can vastly improve the success of a graphic image. They dissect individual graphics, show why some work while others don't, and suggest specific improvements. The book includes analyses of graphics that have appeared in such journals as Science, Nature, Annual Reviews, Cell, PNAS, and the New England Journal of Medicine, as well as an insightful personal conversation with designer Stefan Sagmeister and narratives by prominent researchers and animators.
(source: Nielsen Book Data)

• Overview
• Form and structure
• Process and time
• Compare and contrast
• Case studies
• Interactive graphics
• Visual index
• Appendix.

Any scientist or engineer who communicates research results will immediately recognize this practical handbook as an indispensable tool. The guide sets out clear strategies and offers abundant examples to assist researchers-even those with no previous design training-with creating effective visual graphics for use in multiple contexts, including journal submissions, grant proposals, conference posters, or presentations. Visual communicator Felice Frankel and systems biologist Angela DePace, along with experts in various fields, demonstrate how small changes can vastly improve the success of a graphic image. They dissect individual graphics, show why some work while others don't, and suggest specific improvements. The book includes analyses of graphics that have appeared in such journals as Science, Nature, Annual Reviews, Cell, PNAS, and the New England Journal of Medicine, as well as an insightful personal conversation with designer Stefan Sagmeister and narratives by prominent researchers and animators.
(source: Nielsen Book Data)

• MATHEMATICS Arithmetic and Elementary Algebra Elementary Functions Elementary Geometry Analytic Geometry Algebra Limits and Derivatives Integrals Series Functions of Complex Variables Integral Transforms Ordinary Differential Equations Partial Differential Equations Special Functions and Their Properties Probability Theory PHYSICS Physical Foundations of Mechanics Molecular Physics and Thermodynamics Electrodynamics Oscillations and Waves Optics Quantum Mechanics. Atomic Physics Quantum Theory of Crystals Elements of Nuclear Physics ELEMENTS OF APPLIED AND ENGINEERING SCIENCES Dimensions and Similarity Mechanics of Point Particles and Rigid Bodies Elements of Strength of Materials Hydrodynamics Mass and Heat Transfer Electrical Engineering Empirical and Engineering Formulas and Criteria for Their Applicability SUPPLEMENTS Integrals Integral Transforms Orthogonal Curvilinear Systems of Coordinates Ordinary Differential Equations Some Useful Electronic Mathematical Resources Index References appear at the end of each chapter.
• (source: Nielsen Book Data)

A Concise Handbook of Mathematics, Physics, and Engineering Sciences takes a practical approach to the basic notions, formulas, equations, problems, theorems, methods, and laws that most frequently occur in scientific and engineering applications and university education. The authors pay special attention to issues that many engineers and students find difficult to understand. The first part of the book contains chapters on arithmetic, elementary and analytic geometry, algebra, differential and integral calculus, functions of complex variables, integral transforms, ordinary and partial differential equations, special functions, and probability theory. The second part discusses molecular physics and thermodynamics, electricity and magnetism, oscillations and waves, optics, special relativity, quantum mechanics, atomic and nuclear physics, and elementary particles. The third part covers dimensional analysis and similarity, mechanics of point masses and rigid bodies, strength of materials, hydrodynamics, mass and heat transfer, electrical engineering, and methods for constructing empirical and engineering formulas. The main text offers a concise, coherent survey of the most important definitions, formulas, equations, methods, theorems, and laws. Numerous examples throughout and references at the end of each chapter provide readers with a better understanding of the topics and methods. Additional issues of interest can be found in the remarks. For ease of reading, the supplement at the back of the book provides several long mathematical tables, including indefinite and definite integrals, direct and inverse integral transforms, and exact solutions of differential equations.
(source: Nielsen Book Data)

• Computer Science: The Discipline and Its Impact, Allen B. Tucker and Peter Wegner Ethical Issues for Computer Scientists, Deborah G. Johnson and Keith W. Miller
• SECTION I: ALGORITHMS AND COMPLEXITY Basic Techniques for Design and Analysis of Algorithms, Edward M. Reingold Data Structures, Roberto Tamassia and Bryan M. Cantrill Complexity Theory, Eric W. Allender, Michael C. Loui, and Kenneth W. Regan Formal Models and Computability, Tao Jiang, Ming Li, and Bala Ravikumar Graph and Network Algorithms, Samir Khuller and Balaji Raghavachari Algebraic Algorithms, Angel Diaz, Erich Kaltofen, and Victor Y. Pan Cryptography, Jonathan Katz Parallel Algorithms, Guy E. Blelloch and Bruce M. Maggs Computational Geometry, D.T. Lee Randomized Algorithms, Rajeev Motwani and Prabhakar Raghavan Pattern Matching and Text Compression Algorithms, Maxime Crochemore and Thierry Lecroq Genetic Algorithms, Stephanie Forrest Combinatorial Optimization, Vijay Chandru and M.R. Rao
• SECTION II: ARCHITECTURE AND ORGANIZATION Digital Logic, Miriam Leeser Digital Computer Architecture, David R. Kaeli Memory Systems, Douglas G. Burger, James R. Goodman, and Gurindar S. Sohi Buses, Windsor W. Hsu and Jih-Kwon Peir Input/Output Devices and Interaction Techniques, Ken Hinckley, Robert J.K. Jacob, and Colin Ware Secondary Storage Systems, Alexander Thomasian High-Speed Computer Arithmetic, Earl E. Swartzlander Jr. Parallel Architectures, Michael J. Flynn and Kevin W. Rudd Architecture and Networks, Robert S. Roos Fault Tolerance, Edward J. McCluskey and Subhasish Mitra
• SECTION III: COMPUTATIONAL SCIENCE Geometry-Grid Generation, Bharat K. Soni and Nigel P. Weatherill Scientific Visualization, William R. Sherman, Alan B. Craig, M. Pauline Baker, and Colleen Bushell Computational Structural Mechanics, Ahmed K. Noor Computational Electromagnetics, J.S. Shang Computational Fluid Dynamics, David A. Caughey Computational Ocean Modeling, Lakshmi Kantha and Steve Piacsek Computational Chemistry, Frederick J. Heldrich, Clyde R. Metz, Henry Donato, Kristin D. Krantzman, Sandra Harper, Jason S. Overby, and Gamil A. Guirgis Computational Astrophysics, Jon Hakkila, Derek Buzasi, and Robert J. Thacker Computational Biology, David T. Kingsbury
• SECTION IV: GRAPHICS AND VISUAL COMPUTING Overview of Three-Dimensional Computer Graphics, Donald H. House Geometric Primitives, Alyn P. Rockwood Advanced Geometric Modeling, David S. Ebert Mainstream Rendering Techniques, Alan Watt and Steve Maddock Sampling, Reconstruction, and Antialiasing, George Wolberg Computer Animation, Nadia Magnenat Thalmann and Daniel Thalmann Volume Visualization, Arie Kaufman and Klaus Mueller Virtual Reality, Steve Bryson Computer Vision, Daniel Huttenlocher
• SECTION V: HUMAN-COMPUTER INTERACTION The Organizational Contexts of Development and Use, Jonathan Grudin and M. Lynne Markus Usability Engineering, Jakob Nielsen Task Analysis and the Design of Functionality, David Kieras Human-Centered System Development, Jennifer Tucker and Abby Mackness Graphical User Interface Programming, Brad A. Myers Multimedia, James L. Alty Computer-Supported CollaborativeWork, Fadi P. Deek and James A. McHugh Applying International Usability Standards, Wolfgang Dzida
• SECTION VI: INFORMATION MANAGEMENT Data Models, Avi Silberschatz, Henry F. Korth, and S. Sudarshan Tuning Database Design for High Performance, Dennis Shasha and Philippe Bonnet Access Methods, Betty Salzberg and Donghui Zhang Query Optimization, Yannis E. Ioannidis Concurrency Control and Recovery, Michael J. Franklin Transaction Processing, Alexander Thomasian Distributed and Parallel Database Systems, M. Tamer Ozsu and Patrick Valduriez Multimedia Databases: Analysis, Modeling, Querying, and Indexing, Vincent Oria, Ying Li, and Chitra Dorai Database Security and Privacy, Sushil Jajodia
• SECTION VII: INTELLIGENT SYSTEMS Logic-Based Reasoning for Intelligent Systems, James J. Lu and Erik Rosenthal Qualitative Reasoning, Kenneth D. Forbus Search, D. Kopec, T.A. Marsland, and J.L. Cox Understanding Spoken Language, Stephanie Seneff and Victor Zue Decision Trees and Instance-Based Classifiers, J. Ross Quinlan Neural Networks, Michael I. Jordan and Christopher M. Bishop Planning and Scheduling, Thomas Dean and Subbarao Kambhampati Explanation-Based Learning, Gerald DeJong Cognitive Modeling, Eric Chown Graphical Models for Probabilistic and Causal Reasoning, Judea Pearl Robotics, Frank L. Lewis, John M. Fitzgerald, and Kai Liu
• SECTION VIII: NET-CENTRIC COMPUTING Network Organization and Topologies, William Stallings Routing Protocols, Radia Perlman Network and Internet Security, Steven Bellovin Information Retrieval and Data Mining, Katherine G. Herbert, Jason T.L. Wang, and Jianghui Liu Data Compression, Z. Rahman Security and Privacy, Peter G. Neumann Malicious Software and Hacking, David Ferbrache and Stuart Mort Authentication, Access Control, and Intrusion Detection, Ravi S. Sandhu and Pierangela Samarati
• SECTION IX: OPERATING SYSTEMS What Is an Operating System?, Raphael Finkel Thread Management for Shared-Memory Multiprocessors, Thomas E. Anderson, Brian N. Bershad, Edward D. Lazowska and Henry M. Levy Process and Device Scheduling, Robert D. Cupper Real-Time and Embedded Systems, John A. Stankovic Process Synchronization and Interprocess Communication, Craig E. Wills Virtual Memory, Peter J. Denning Secondary Storage and Filesystems, Marshall Kirk McKusick Overview of Distributed Operating Systems, Sape J. Mullender Distributed and Multiprocessor Scheduling, Steve J. Chapin and Jon B. Weissman Distributed File Systems and Distributed Memory, T.W. Doeppner Jr.
• SECTION X: PROGRAMMING LANGUAGES Imperative Language Paradigm, Michael J. Jipping and Kim Bruce The Object-Oriented Language Paradigm, Raimund Ege Functional Programming Languages, Benjamin Goldberg Logic Programming and Constraint Logic Programming, Jacques Cohen Scripting Languages, Robert E. Noonan and William L. Bynum Event-Driven Programming, Allen B. Tucker and Robert E. Noonan Concurrent/Distributed Computing Paradigm, Andrew P. Bernat and Patricia Teller Type Systems, Luca Cardelli Programming Language Semantics, David A. Schmidt Compilers and Interpreters, Kenneth C. Louden Runtime Environments and Memory Management, Robert E. Noonan and William L. Bynum
• SECTION XI: SOFTWARE ENGINEERING Software Qualities and Principles, Carlo Ghezzi, Mehdi Jazayeri, and Dino Mandrioli Software Process Models, Ian Sommerville Traditional Software Design, Steven A. Demurjian Sr. Object-Oriented Software Design, Steven A. Demurjian Sr. and Patricia J. Pia Software Testing, Gregory M. Kapfhammer Formal Methods, Jonathan P. Bowen and Michael G. Hinchey Verification and Validation, John D. Gannon Development Strategies and Project Management, Roger S. Pressman Software Architecture, Stephen B. Seidman Specialized System Development, Osama Eljabiri and Fadi P. Deek Appendix A: Professional Societies in Computing Appendix B: The ACM Code of Ethics and Professional Conduct Appendix C: Standards-Making Bodies and Standards Appendix D: Common Languages and Conventions Index.
• (source: Nielsen Book Data)

When you think about how far and fast computer science has progressed in recent years, it's not hard to conclude that a seven-year old handbook may fall a little short of the kind of reference today's computer scientists, software engineers, and IT professionals need. With a broadened scope, more emphasis on applied computing, and more than 70 chapters either new or significantly revised, the Computer Science Handbook, Second Edition is exactly the kind of reference you need. This rich collection of theory and practice fully characterizes the current state of the field and conveys the modern spirit, accomplishments, and direction of computer science. Highlights of the Second Edition: Coverage that reaches across all 11 subject areas of the discipline as defined in Computing Curricula 2001, now the standard taxonomy More than 70 chapters revised or replaced Emphasis on a more practical/applied approach to IT topics such as information management, net-centric computing, and human computer interaction More than 150 contributing authors--all recognized experts in their respective specialties New chapters on: cryptography computational chemistry computational astrophysics human-centered software development cognitive modeling transaction processing data compression scripting languages event-driven programming software architecture.
(source: Nielsen Book Data)

• Career Transformations. Career Well Being: Your Career Well Being. Internal Hindrances to Career Transitions. Trained Incapacity Among Professionals. Even the Best of Times. Beyond Credentialism. Greener Pastures? On Behalf of Integrity, Ambition, and Self-Marketing. Career Renewal: What to Ask Yourself When Developing a Career. Career Decision-Making Patterns. Values: Personal Priorities. Skills. A Preliminary Career Check-List: Taking Your Temperature. Non-Traditional Careers Using Science/Technology Skills. Your Interests: Future Skills Development. Career Options Exploration Research and Trend-Tracking. Quintessential Informational Interviews. Biographies are Better than Resumes for Contacts. Exponential Interviews, Mentors, Recruiters, and Career Counselors. Job Search Research: Get Real Before You Go Virtual. Letters: Cover, Contact, Thank You, Unorthodox. The Lengthy Process of Resume R&D. Preparation for Job Interviews, Negotiations, and Decisions. Career Transition Update: Where Are You Now? Good Career Planning Habits and Hygiene. Appendices: Career Search Selection Criteria. Total Compensation Summary Checklist. Reference/Research Material. Selected Books to Help You Explore Your Career Options. Use and Misuse of the Internet for Career Transitions. An Actual Online Search by a Real Scientist Undergoing a Real Career Transition. Subject Index.
• (source: Nielsen Book Data)

Career Renewal is a practical career guide which shows you how to get the job you want. Designed specifically for scientists, engineers, and other medical and legal professionals, this book contains the information you need to rejuvenate your career. It will help you find a satisfying career in today's market. It includes numerous assessment surveys, identifies career resources for professional networking, outlines how to write a winning resume, and features numerous personal case histories of those who have successfully made the transition from academia to the business world. The authors' step-by-step techniques have been field-tested on thousands and will help you to discover new career perspective.
(source: Nielsen Book Data)

• 1 Front Matter
• 2 1 What is a Mentor?
• 3 2 The Mentor as Faculty Adviser
• 4 3 The Mentor as Career Adviser
• 5 4 The Mentor as Skills Consultant
• 6 5 The Mentor as Role Model
• 7 6 Recommendation: Improving the Quality of Mentoring
• 8 7 Resources
• 9 Report Brief: Reshaping the Graduate Education of Scientists and Engineers.
• (source: Nielsen Book Data)

This guide offers helpful advice on how teachers, administrators, and career advisers in science and engineering can become better mentors to their students. It starts with the premise that a successful mentor guides students in a variety of ways: by helping them get the most from their educational experience, by introducing them to and making them comfortable with a specific disciplinary culture, and by offering assistance with the search for suitable employment. Other topics covered in the guide include career planning, time management, writing development, and responsible scientific conduct. Also included is a valuable list of bibliographical and Internet resources on mentoring and related topics.
(source: Nielsen Book Data)

• 1 Front Matter
• 2 1 What is a Mentor?
• 3 2 The Mentor as Faculty Adviser
• 4 3 The Mentor as Career Adviser
• 5 4 The Mentor as Skills Consultant
• 6 5 The Mentor as Role Model
• 7 6 Recommendation: Improving the Quality of Mentoring
• 8 7 Resources
• 9 Report Brief: Reshaping the Graduate Education of Scientists and Engineers.
• (source: Nielsen Book Data)

This guide offers helpful advice on how teachers, administrators, and career advisers in science and engineering can become better mentors to their students. It starts with the premise that a successful mentor guides students in a variety of ways: by helping them get the most from their educational experience, by introducing them to and making them comfortable with a specific disciplinary culture, and by offering assistance with the search for suitable employment. Other topics covered in the guide include career planning, time management, writing development, and responsible scientific conduct. Also included is a valuable list of bibliographical and Internet resources on mentoring and related topics.
(source: Nielsen Book Data)

• The Computer Science and Engineering Handbook characterizes the state of theory and practice in the field. In this single volume you can find quick answers to the questions that affect your work every day. More than 110 chapters describe fundamental principles, ...best practices, ... research horizons, and their impact upon the professions and society. Glossaries of key terms, references, and sources for further information, including key World Wide Web sites, provide you with the most complete information on every topic. The broad scope of this work unites practice and theory, filling the gap between introductory textbooks and research journals.
• (source: Nielsen Book Data)

The Computer Science and Engineering Handbook characterizes the state of theory and practice in the field. In this single volume you can find quick answers to the questions that affect your work every day. More than 110 chapters describe fundamental principles, best practices, research horizons, and their impact upon the professions and society. Glossaries of key terms, references, and sources for further information provide complete information on every topic. The chapters are grouped into sections on algorithms and data structures, architecture, artificial intelligence, computational science, database and information retrieval, graphics, human-computer interaction, operating systems and networks, programming languages and software engineering. Each section is packed with discussions of current issues, the social impact of computing as it affects security, privacy, professionalism, the way we communicate, and case studies of high impact applications.
(source: Nielsen Book Data)

Presents the facts, history, names and dates behind 1250 major accomplishments in science and technology. Each subject is covered in 150-600 words, and may be found through any one of four indexes: personal name; chronological; geographical; and field of study.
(source: Nielsen Book Data)

A guide to designing and conducting experimental research including report writing.
(source: Nielsen Book Data)

This dictionary consists of text and tables, covering all of the areas that are fundamental to understanding our physical world, and life within it. Included are physics - classical, relativistic, quantum, particle, and high-energy; chemistry - inorganic, organic, and physical; the geological sciences - geology, geophysics, oceanography, meteorology, palaeontology, and related areas of molecular, genetic, and evolutionary biology; and cosmology - including astronomy, astrophysics, and the genesis and evolution of the universe. The text features not only definitions but also explanations, formulas, and data. Entries best presented in tabular form are found in 70 tables that follow the text. The 5,000 definitions are both concise and rigorous, abbreviations are spelled out, and unfamiliar terms are themselves defined.
(source: Nielsen Book Data)