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| computer science in games: Basic Computer Games David H. Ahl, 1981 |
| computer science in games: Computer Games for Learning Richard E. Mayer, 2014-07-11 A comprehensive and up-to-date investigation of what research shows about the educational value of computer games for learning. Many strong claims are made for the educational value of computer games, but there is a need for systematic examination of the research evidence that might support such claims. This book fills that need by providing, a comprehensive and up-to-date investigation of what research shows about learning with computer games. Computer Games for Learning describes three genres of game research: the value-added approach, which compares the learning outcomes of students who learn with a base version of a game to those of students who learn with the base version plus an additional feature; the cognitive consequences approach, which compares learning outcomes of students who play an off-the-shelf computer game for extended periods to those of students who do not; and the media comparative approach, which compares the learning outcomes of students who learn material by playing a game to those of students who learn the same material using conventional media. After introductory chapters that describe the rationale and goals of learning game research as well as the relevance of cognitive science to learning with games, the book offers examples of research in all three genres conducted by the author and his colleagues at the University of California, Santa Barbara; meta-analyses of published research; and suggestions for future research in the field. The book is essential reading for researchers and students of educational games, instructional designers, learning-game developers, and anyone who wants to know what the research has to say about the educational effectiveness of computer games. |
| computer science in games: Software Engineering and Computer Games Rudy von Bitter Rucker, 2003 This book solves the dilemma of wanting to learn Windows-based sorfware engineering without knowing Windows programming. The basics in Windows programming are explained alongside ideas of object-oriented sortware engineering. (Midwest). |
| computer science in games: Invent Your Own Computer Games with Python, 4th Edition Al Sweigart, 2016-12-16 Invent Your Own Computer Games with Python will teach you how to make computer games using the popular Python programming language—even if you’ve never programmed before! Begin by building classic games like Hangman, Guess the Number, and Tic-Tac-Toe, and then work your way up to more advanced games, like a text-based treasure hunting game and an animated collision-dodging game with sound effects. Along the way, you’ll learn key programming and math concepts that will help you take your game programming to the next level. Learn how to: –Combine loops, variables, and flow control statements into real working programs –Choose the right data structures for the job, such as lists, dictionaries, and tuples –Add graphics and animation to your games with the pygame module –Handle keyboard and mouse input –Program simple artificial intelligence so you can play against the computer –Use cryptography to convert text messages into secret code –Debug your programs and find common errors As you work through each game, you’ll build a solid foundation in Python and an understanding of computer science fundamentals. What new game will you create with the power of Python? The projects in this book are compatible with Python 3. |
| computer science in games: Lectures in Game Theory for Computer Scientists Krzysztof R. Apt, Erich Grädel, 2011-01-06 Games provide mathematical models for interaction. Numerous tasks in computer science can be formulated in game-theoretic terms. This fresh and intuitive way of thinking through complex issues reveals underlying algorithmic questions and clarifies the relationships between different domains. This collection of lectures, by specialists in the field, provides an excellent introduction to various aspects of game theory relevant for applications in computer science that concern program design, synthesis, verification, testing and design of multi-agent or distributed systems. Originally devised for a Spring School organised by the GAMES Networking Programme in 2009, these lectures have since been revised and expanded, and range from tutorials concerning fundamental notions and methods to more advanced presentations of current research topics. This volume is a valuable guide to current research on game-based methods in computer science for undergraduate and graduate students. It will also interest researchers working in mathematical logic, computer science and game theory. |
| computer science in games: Learning Science Through Computer Games and Simulations National Research Council, Division of Behavioral and Social Sciences and Education, Board on Science Education, Committee on Science Learning: Computer Games, Simulations, and Education, 2011-04-12 At a time when scientific and technological competence is vital to the nation's future, the weak performance of U.S. students in science reflects the uneven quality of current science education. Although young children come to school with innate curiosity and intuitive ideas about the world around them, science classes rarely tap this potential. Many experts have called for a new approach to science education, based on recent and ongoing research on teaching and learning. In this approach, simulations and games could play a significant role by addressing many goals and mechanisms for learning science: the motivation to learn science, conceptual understanding, science process skills, understanding of the nature of science, scientific discourse and argumentation, and identification with science and science learning. To explore this potential, Learning Science: Computer Games, Simulations, and Education, reviews the available research on learning science through interaction with digital simulations and games. It considers the potential of digital games and simulations to contribute to learning science in schools, in informal out-of-school settings, and everyday life. The book also identifies the areas in which more research and research-based development is needed to fully capitalize on this potential. Learning Science will guide academic researchers; developers, publishers, and entrepreneurs from the digital simulation and gaming community; and education practitioners and policy makers toward the formation of research and development partnerships that will facilitate rich intellectual collaboration. Industry, government agencies and foundations will play a significant role through start-up and ongoing support to ensure that digital games and simulations will not only excite and entertain, but also motivate and educate. |
| computer science in games: Core Techniques and Algorithms in Game Programming Daniel Sánchez-Crespo Dalmau, 2004 To even try to keep pace with the rapid evolution of game development, you need a strong foundation in core programming techniques-not a hefty volume on one narrow topic or one that devotes itself to API-specific implementations. Finally, there's a guide that delivers! As a professor at the Spanish university that offered that country's first master's degree in video game creation, author Daniel Sanchez-Crespo recognizes that there's a core programming curriculum every game designer should be well versed in-and he's outlined it in these pages! By focusing on time-tested coding techniques-and providing code samples that use C++, and the OpenGL and DirectX APIs-Daniel has produced a guide whose shelf life will extend long beyond the latest industry trend. Code design, data structures, design patterns, AI, scripting engines, 3D pipelines, texture mapping, and more: They're all covered here-in clear, coherent fashion and with a focus on the essentials that will have you referring back to this volume for years to come. |
| computer science in games: Start Your Video Game Career Jason W. Bay, 2017-07-04 Learn how to start your career making video games from game industry expert Jason W. Bay! This practical question and answer book offers insider advice, information, and inspiration on how to get a job and grow your career making video games. |
| computer science in games: Game Programming Patterns Robert Nystrom, 2014-11-03 The biggest challenge facing many game programmers is completing their game. Most game projects fizzle out, overwhelmed by the complexity of their own code. Game Programming Patterns tackles that exact problem. Based on years of experience in shipped AAA titles, this book collects proven patterns to untangle and optimize your game, organized as independent recipes so you can pick just the patterns you need. You will learn how to write a robust game loop, how to organize your entities using components, and take advantage of the CPUs cache to improve your performance. You'll dive deep into how scripting engines encode behavior, how quadtrees and other spatial partitions optimize your engine, and how other classic design patterns can be used in games. |
| computer science in games: GPGPU Programming for Games and Science David H. Eberly, 2014-08-15 An In-Depth, Practical Guide to GPGPU Programming Using Direct3D 11 GPGPU Programming for Games and Science demonstrates how to achieve the following requirements to tackle practical problems in computer science and software engineering: Robustness Accuracy Speed Quality source code that is easily maintained, reusable, and readable The book primarily addresses programming on a graphics processing unit (GPU) while covering some material also relevant to programming on a central processing unit (CPU). It discusses many concepts of general purpose GPU (GPGPU) programming and presents practical examples in game programming and scientific programming. The author first describes numerical issues that arise when computing with floating-point arithmetic, including making trade-offs among robustness, accuracy, and speed. He then shows how single instruction multiple data (SIMD) extensions work on CPUs since GPUs also use SIMD. The core of the book focuses on the GPU from the perspective of Direct3D 11 (D3D11) and the High Level Shading Language (HLSL). This chapter covers drawing 3D objects; vertex, geometry, pixel, and compute shaders; input and output resources for shaders; copying data between CPU and GPU; configuring two or more GPUs to act as one; and IEEE floating-point support on a GPU. The book goes on to explore practical matters of programming a GPU, including code sharing among applications and performing basic tasks on the GPU. Focusing on mathematics, it next discusses vector and matrix algebra, rotations and quaternions, and coordinate systems. The final chapter gives several sample GPGPU applications on relatively advanced topics. Web Resource Available on a supporting website, the author’s fully featured Geometric Tools Engine for computing and graphics saves you from having to write a large amount of infrastructure code necessary for even the simplest of applications involving shader programming. The engine provides robust and accurate source code with SIMD when appropriate and GPU versions of algorithms when possible. |
| computer science in games: Learning C# by Programming Games Wouter van Toll, Arjan Egges, Jeroen D. Fokker, 2019-11-21 Developing computer games is a perfect way to learn how to program in modern programming languages. This book teaches how to program in C# through the creation of computer games – and without requiring any previous programming experience. Contrary to most programming books, van Toll, Egges, and Fokker do not organize the presentation according to programming language constructs, but instead use the structure and elements of computer games as a framework. For instance, there are chapters on dealing with player input, game objects, game worlds, game states, levels, animation, physics, and intelligence. The reader will be guided through the development of four games showing the various aspects of game development. Starting with a simple shooting game, the authors move on to puzzle games consisting of multiple levels, and conclude the book by developing a full-fledged platform game with animation, game physics, and intelligent enemies. They show a number of commonly used techniques in games, such as drawing layers of sprites, rotating, scaling and animating sprites, dealing with physics, handling interaction between game objects, and creating pleasing visual effects. At the same time, they provide a thorough introduction to C# and object-oriented programming, introducing step by step important programming concepts such as loops, methods, classes, collections, and exception handling. This second edition includes a few notable updates. First of all, the book and all example programs are now based on the library MonoGame 3.6, instead of the obsolete XNA Game Studio. Second, instead of explaining how the example programs work, the text now invites readers to write these programs themselves, with clearly marked reference points throughout the text. Third, the book now makes a clearer distinction between general (C#) programming concepts and concepts that are specific to game development. Fourth, the most important programming concepts are now summarized in convenient “Quick Reference” boxes, which replace the syntax diagrams of the first edition. Finally, the updated exercises are now grouped per chapter and can be found at the end of each chapter, allowing readers to test their knowledge more directly. The book is also designed to be used as a basis for a game-oriented programming course. Supplementary materials for organizing such a course are available on an accompanying web site, which also includes all example programs, game sprites, sounds, and the solutions to all exercises. |
| computer science in games: Noncooperative Game Theory João P. Hespanha, 2017-06-13 Noncooperative Game Theory is aimed at students interested in using game theory as a design methodology for solving problems in engineering and computer science. João Hespanha shows that such design challenges can be analyzed through game theoretical perspectives that help to pinpoint each problem's essence: Who are the players? What are their goals? Will the solution to the game solve the original design problem? Using the fundamentals of game theory, Hespanha explores these issues and more. The use of game theory in technology design is a recent development arising from the intrinsic limitations of classical optimization-based designs. In optimization, one attempts to find values for parameters that minimize suitably defined criteria—such as monetary cost, energy consumption, or heat generated. However, in most engineering applications, there is always some uncertainty as to how the selected parameters will affect the final objective. Through a sequential and easy-to-understand discussion, Hespanha examines how to make sure that the selection leads to acceptable performance, even in the presence of uncertainty—the unforgiving variable that can wreck engineering designs. Hespanha looks at such standard topics as zero-sum, non-zero-sum, and dynamics games and includes a MATLAB guide to coding. Noncooperative Game Theory offers students a fresh way of approaching engineering and computer science applications. An introduction to game theory applications for students of engineering and computer science Materials presented sequentially and in an easy-to-understand fashion Topics explore zero-sum, non-zero-sum, and dynamics games MATLAB commands are included |
| computer science in games: Program Arcade Games Paul Craven, 2015-12-31 Learn and use Python and PyGame to design and build cool arcade games. In Program Arcade Games: With Python and PyGame, Second Edition, Dr. Paul Vincent Craven teaches you how to create fun and simple quiz games; integrate and start using graphics; animate graphics; integrate and use game controllers; add sound and bit-mapped graphics; and build grid-based games. After reading and using this book, you'll be able to learn to program and build simple arcade game applications using one of today's most popular programming languages, Python. You can even deploy onto Steam and other Linux-based game systems as well as Android, one of today's most popular mobile and tablet platforms. You'll learn: How to create quiz games How to integrate and start using graphics How to animate graphics How to integrate and use game controllers How to add sound and bit-mapped graphics How to build grid-based games Audience“div>This book assumes no prior programming knowledge. |
| computer science in games: Twenty Lectures on Algorithmic Game Theory Tim Roughgarden, 2016-08-30 Computer science and economics have engaged in a lively interaction over the past fifteen years, resulting in the new field of algorithmic game theory. Many problems that are central to modern computer science, ranging from resource allocation in large networks to online advertising, involve interactions between multiple self-interested parties. Economics and game theory offer a host of useful models and definitions to reason about such problems. The flow of ideas also travels in the other direction, and concepts from computer science are increasingly important in economics. This book grew out of the author's Stanford University course on algorithmic game theory, and aims to give students and other newcomers a quick and accessible introduction to many of the most important concepts in the field. The book also includes case studies on online advertising, wireless spectrum auctions, kidney exchange, and network management. |
| computer science in games: Gaming Matters Judd Ethan Ruggill, Ken S. McAllister, 2011-05-11 In Gaming Matters, McAllister and Ruggill turn from the broader discussion of video game rhetoric to study the video game itself as a medium and the specific features that give rise to games as similar and yet diverse as Pong, Tomb Raider, and Halo. |
| computer science in games: Advanced Game Programming John Hattan, Drew Sikora, 2009 Features a compilation of the best articles from GameDev.net on advanced programming. You'll find information, advice, and techniques on optimization, physics and collision detection, scene management, multiplayer gaming, advanced C++ topics, the latest graphics rendering techniques, artificial intelligence, and more. All articles have been updated to comply with the latest technology. |
| computer science in games: Entertainment Computing and Serious Games Ralf Dörner, Stefan Göbel, Michael Kickmeier-Rust, Maic Masuch, Katharina Zweig, 2016-10-05 The aim of this book is to collect and to cluster research areas in the field of serious games and entertainment computing. It provides an introduction and gives guidance for the next generation of researchers in this field. The 18 papers presented in this volume, together with an introduction, are the outcome of a GI-Dagstuhl seminar which was held at Schloß Dagstuhl in July 2015. |
| computer science in games: Beginning Game Programming John Hattan, 2009 Features a compilation of the best articles from GameDev.net on basic game programming topics, including C++, SQL, XML, collision detection, debugging, and scripting, chosen by the editors of the site. All articles have been updated and revised for the current technology, and the book also includes brand new articles never before published. |
| computer science in games: Procedural Content Generation in Games Noor Shaker, Julian Togelius, Mark J. Nelson, 2016-10-18 This book presents the most up-to-date coverage of procedural content generation (PCG) for games, specifically the procedural generation of levels, landscapes, items, rules, quests, or other types of content. Each chapter explains an algorithm type or domain, including fractal methods, grammar-based methods, search-based and evolutionary methods, constraint-based methods, and narrative, terrain, and dungeon generation. The authors are active academic researchers and game developers, and the book is appropriate for undergraduate and graduate students of courses on games and creativity; game developers who want to learn new methods for content generation; and researchers in related areas of artificial intelligence and computational intelligence. |
| computer science in games: Emergence in Games Penny Sweetser, 2008 The future direction of game development is towards more flexible, realistic, and interactive game worlds. However, current methods of game design do not allow for anything other than pre-scripted player exchanges and static objects and environments. An emergent approach to game development involves the creation of a globally designed game system that provides rules and boundaries for player interactions, rather than prescribed paths. Emergence in Games provides a detailed foundation for applying the theory and practice of emergence in games to game design. Emergent narrative, characters and agents, and game worlds are covered and a hands-on tutorial and case study allow the reader to the put the skills and ideas presented into practice. |
| computer science in games: Game Programming for Teens Maneesh Sethi, 2005 Utilizes a hands-on approach to the fundamental principles and techniques of game programming, covering such topics as graphics, Blitz Basic Language, audio, and special effects as it takes readers step-by-step through the process of creating a simple game. |
| computer science in games: 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. |
| computer science in games: Digital Game-Based Learning Marc Prensky, 2007-03-01 Today's workforce is quicker, sharper, more visually oriented, and more technology-savvy than ever. To truly benefit from the Digital Natives' learning power and enthusiasm, traditional training methods must adapt to the way people learn today. Written by the founder of Games2train, this innovative book is filled with examples and information to meet the demands of both educators and employers. |
| computer science in games: Mac Game Programming Mark Szymczyk, André LaMothe, 2002 Any programmer with a basic knowledge of either C or C++ can use this book that targets beginning and intermediate game programmers as well as advanced game programmers new to the Mac platform. |
| computer science in games: 3D Math Primer for Graphics and Game Development, 2nd Edition Fletcher Dunn, Ian Parberry, 2011-11-02 This engaging book presents the essential mathematics needed to describe, simulate, and render a 3D world. Reflecting both academic and in-the-trenches practical experience, the authors teach you how to describe objects and their positions, orientations, and trajectories in 3D using mathematics. The text provides an introduction to mathematics for game designers, including the fundamentals of coordinate spaces, vectors, and matrices. It also covers orientation in three dimensions, calculus and dynamics, graphics, and parametric curves. |
| computer science in games: Coding Games in Scratch Jon Woodcock, 2019-08-06 Scratch 3.0 has landed! Stay ahead of the curve with this fully updated guide for beginner coders. Coding is not only a highly sought-after skill in our digital world, but it also teaches kids valuable skills for life after school. This book teaches important strategies for solving problems, designing projects, and communicating ideas, all while creating games to play with their friends. Children will enjoy the step-by-step visual approach that makes even the most difficult coding concepts easy to master. They will discover the fundamentals of computer programming and learn to code through a blend of coding theory and the practical task of building computer games themselves. The reason coding theory is taught through practical tasks is so that young programmers don't just learn how computer code works - they learn why it's done that way. With Coding Games in Scratch, kids can build single and multiplayer platform games, create puzzles and memory games, race through mazes, add animation, and more. It also supports STEM education initiatives and the maker movement. Follow Simple Steps – Improve Your Skills – Share Your Games! If you like playing computer games, why not create your own? Essential coding concepts are explained using eight build-along game projects. Coding Games In Scratch guides young coders step-by-step, using visual samples, easy-to-follow instructions, and fun pixel art. This coding book for kids has everything you need to build amazing Scratch 3.0 games, including thrilling racing challenges, zany platform games, and fiendish puzzles. Follow the simple steps to become an expert coder using the latest version of the popular programming language Scratch 3.0 in this new edition. Improve your coding skills and create your own games before remixing and customizing them. Share your games online and challenge friends and family to beat each other's scores! In this book, you will: - Learn about setting the scene, what makes a good game and playability - Discover objects, rules, and goals - Explore hacks and tweaks, camera angles, fine-tuning and controls - And much more Computer coding teaches kids how to think creatively, work collaboratively, and reason systematically, and is quickly becoming a necessary and sought-after skill. DK's computer coding books for kids are full of fun exercises with step-by-step guidance, making them the perfect introductory tools for building vital skills in computer programming. Add Coding Projects in Scratch and Coding Projects in Python to your collection. |
| computer science in games: Encyclopedia of Computer Graphics and Games Newton Lee, |
| computer science in games: Game Coding Complete Mike McShaffry, 2005 Game Coding Complete, Second Edition is the essential hands-on guide to developing commercial quality games written by master game programmer, Mike McSahffry. This must-have second edition has been expanded from the bestselling first edition to include the absolute latest in exciting new techniques in game interface design programming, game audio programming, game scripting, 3D programming, network game programming and gam engine technology. All of the code in the book has been completely updated to work with all of the latest compiler technology. |
| computer science in games: 3D Game Programming All in One Kenneth C. Finney, 2007 Are you an aspiring game developer with a great idea, but no practical knowledge for turning that idea into reality? 3D Game Programming All in One is the comprehensive guide you need! This new edition updates the original coverage with the latest version of Torque from GarageGames, and provides the very best tools available to the Indie game maker. This hands-on book not only teaches the technical skills behind 3D game programming, but also provides you with the practical experience you need to create your own games. As you create a first-person shooter, you'll cover the techniques behind the programming, textures, and models that go into successful game creation. You'll also cover the Torque Engine and will learn how to integrate sound and music into your game. 3D Game Programming All in One provides you with the training, experience, and tools you need to turn your dreams of game creation into reality! |
| computer science in games: Computational Models of Games Anne Condon, 1989 Computational Models of Games describes a model of two person games - called a probabilistic game automaton - that unifies other important models that have been developed to reflect the game-like properties of computational problems. |
| computer science in games: Programming with Java! Tim Ritchey, 1995 Gives examples of how to write your own Java code. Examples from book are on CD-ROM disk. |
| computer science in games: Using Computer Science in Digital Gaming Careers Jennifer Culp, 2017-07-15 Over the past three decades, video games have moved from the arcade to the home to the palm of a player�s hand. And all of those changes have been made possible through technological advancements and application of these advancements through coding. This guide gives those who have already decided to apply their skills to creating digital games, as well as those who love games but don�t have a solid career path in mind, the tools and knowledge that every job seeker needs to begin building a career. |
| computer science in games: Writing Successful Undergraduate Dissertations in Games Development and Computer Science Thomas Hainey, Gavin Baxter, 2022-11-23 Writing a dissertation in the final year at university can be a highly daunting task for any student, but particularly if the degree is practically oriented and implementation based. This book provides an accessible, concise guide to producing a dissertation in computer science, software engineering, or games development degrees, with research projects typically involving design, implementation, testing, and evaluation. Drawing on the authors’ extensive knowledge and experience of supervising dissertation students, the book offers a step-by-step guide to the key areas of writing a dissertation alongside real-life examples. Chapters cover: Producing literature reviews. Formulating research questions. Understanding epistemologies. Selecting methodologies and research methods. Software development life cycle methodologies. Evaluation, statistical analysis, and formulating conclusions. Working methodically through the different stages of writing a dissertation, this is an essential comprehensive guide for all students producing any form of dissertation in computer science, software engineering, or games development. |
| computer science in games: The Art of Computer Game Design Linda L Crawford, Chris Crawford, 1984-01-01 Discusses the elements of games, surveys the various types of computer games, and describes the steps in the process of computer game development |
| computer science in games: Advances in Computer Games , 2005 |
| computer science in games: Lectures in Game Theory for Computer Scientists Krzysztof R. Apt, Erich Grädel, 2011-01-06 Games provide mathematical models for interaction. Numerous tasks in computer science can be formulated in game-theoretic terms. This fresh and intuitive way of thinking through complex issues reveals underlying algorithmic questions and clarifies the relationships between different domains. This collection of lectures, by specialists in the field, provides an excellent introduction to various aspects of game theory relevant for applications in computer science that concern program design, synthesis, verification, testing and design of multi-agent or distributed systems. Originally devised for a Spring School organised by the GAMES Networking Programme in 2009, these lectures have since been revised and expanded, and range from tutorials concerning fundamental notions and methods to more advanced presentations of current research topics. This volume is a valuable guide to current research on game-based methods in computer science for undergraduate and graduate students. It will also interest researchers working in mathematical logic, computer science and game theory. |
| computer science in games: Beginning .NET Game Programming in VB .NET David Weller, Alexandre Santos Lobao, Ellen Hatton, 2004-09-20 * Adapted to VB .NET by key Microsoft Insiders --Lead author is the .NET Game evangelist at Microsoft! * An easy-to-read, soup-to-nuts guide that helps you start programming games fast. * Packed with code examples that are complete games, Beginning .NET Game Programming in VB .NET includes an introduction to Managed DirectX 9 and is also an introduction to exciting advanced features of .NET, including the Speech API to generate voices, synchronizing mouth animations with generated sounds, the .NET Compact Framework, data access with ADO.NET, collision detection, and artificial intelligence. * Includes complete code listings and applications for all games included in the book: .Nettrix (a Tetris clone), .Netterpillars (a Snakes clone), River Pla.Net (River Raid clone), Magic KindergarteN., D-iNfEcT, and Nettrix II (for the Pocket PC) as well as a version of the classic game Spacewars and a Twisty Cube game. |
| computer science in games: Learn 2D Game Development with C# Kelvin Sung, Jack Keng-Wei Chang, Rob Zhu, Jebediah Pavleas, 2014-01-25 2D games are hugely popular across a wide range of platforms and the ideal place to start if you’re new to game development. With Learn 2D Game Development with C#, you'll learn your way around the universal building blocks of game development, and how to put them together to create a real working game. C# is increasingly becoming the language of choice for new game developers. Productive and easier to learn than C++, C# lets you get your games working quickly and safely without worrying about tricky low-level details like memory management. This book uses MonoGame, an open source framework that's powerful, free to use and easy to handle, to further reduce low-level details, meaning you can concentrate on the most interesting and universal aspects of a game development: frame, camera, objects and particles, sprites, and the logic and simple physics that determines how they interact. In each chapter, you'll explore one of these key elements of game development in the context of a working game, learn how to implement the example for yourself, and integrate it into your own game library. At the end of the book, you’ll put everything you’ve learned together to build your first full working game! And what’s more, MonoGame is designed for maximum cross-platform support, so once you’ve mastered the fundamentals in this book, you’ll be ready to explore and publish games on a wide range of platforms including Windows 8, MAC OSX, Windows Phone, iOS, Android, and Playstation Mobile. Whether you're starting a new hobby or considering a career in game development, Learn 2D Game Development with C# is the ideal place to start. |
| computer science in games: Minds in Play Yasmin Bettina Kafai, Yasmin B. Kafai, 1995 Video games more than any other media have brought technology into children's homes and hearts. Educators, psychologists, and parents are struck by the quality of engagement that stands in stark contrast to children's usual interest in school homework and other activities. Whereas most research efforts have concentrated on discussing the effects of game playing, this book takes a different stance. It takes a close look at games as a context for learning by placing children in the roles of producers rather than consumers of games. Kafai presents a constructionist vision of computer-based learning activities in schools. She follows a class of sixteen fourth-grade students from an inner-city public elementary school as they were programming games in Logo to teach fractions to third graders. The children transformed their classroom into a game design studio for six months, learning programming, writing stories and dialogues, constructing representations of fractions, creating package designs and advertisements, considering interface design issues, and devising teaching strategies. In this context, programming became a medium for children's personal and creative expression; in the design of their games children engaged their fantasies and built relationships with other pockets of reality that went beyond traditional school approaches. The ideas and discussions presented in this book address educators, researchers, and software and curriculum designers interested in children's learning and thinking with educational technologies. |
| computer science in games: Computer Science National Research Council, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Committee on the Fundamentals of Computer Science: Challenges and Opportunities, 2004-10-06 Computer Science: Reflections on the Field, Reflections from the Field provides a concise characterization of key ideas that lie at the core of computer science (CS) research. The book offers a description of CS research recognizing the richness and diversity of the field. It brings together two dozen essays on diverse aspects of CS research, their motivation and results. By describing in accessible form computer science's intellectual character, and by conveying a sense of its vibrancy through a set of examples, the book aims to prepare readers for what the future might hold and help to inspire CS researchers in its creation. |
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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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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 …
Laptop & Desktop Computers - Staples
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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 …
