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Fuzzy-systems in Computer Science
This book contains a selection of revised papers and state-of-the-art overviews on current trends and future perspectives of fuzzy systems. A major aim is to address theoretical as well as application-oriented issues and to contribute to the foundation of concepts, methods, and tools in this field. The book is written by researchers who attended the workshop "Fuzzy Systems '93 - Management of Uncertain Information" (Braunschweig, Germany, October 21-22, 1993), organized by the German Society of Computer Science (GI), the German Computer Science Academy (DIA), and the University of Braunschweig.Dieses Buch enthalt ausgewahlte und auf neuesten Stand gebrachte Fachaufsatze und "State of the Art"-Ubersichtsartikel in englischer Sprache. Sie geben einen Uberblick uber aktuelle Trends sowie Zukunftsperspektiven der Fuzzy-Systeme. Besonderer Wert wird darauf gelegt, dass das Buch in einem ausgewogenen Verhaltnis von Theorie und Praxis zur Fundierung von Konzepten, Methoden und Werkzeugen beitragt.Hervorgegangen ist das Werk aus einem von der Gesellschaft fur Informatik (GI), der Deutschen Informatik Akademie (DIA) und der TU Braunschweig gemeinsam veranstalteten GI-Workshop "Fuzzy-Systeme '93 - Management unsicherer Informationen" (Braunschweig, 21.-22.10.1993). Die Aufsatze wurden uberarbeitet und um Uberblicksartikel erganzt, geschrieben von H. J. Zimmermann, H. Hellendorn, D. Nauck, C. Freksa, S. Gottwald und K. D. Meyer-Gramann.
R 1,969.29
GCSE Computer Science AQA Complete Revision & Practice
Unbeatable CGP Grade 9-1 GCSE AQA Computer Science revision and practice all in one book! The book is packed with crystal-clear study notes, examples and revision summaries at the end of each section. There are heaps of warm-up questions and exam-style questions (with answers) to test students' understanding on everything they need to know for both exams. What's more the book is rounded off with a full set of practice papers - perfect preparation for the real thing! And finally, we've included a free Online Edition of the whole book - just use the code printed inside the cover to access it on a PC, Mac or tablet. Don't miss our fantastic AQA GCSE Computer Science Revision Question Cards (9781789086126) for even more practice!
R 536.00
Problems With A Point: Exploring Math And Computer Science
'Points, questions, stories, and occasional rants introduce the 24 chapters of this engaging volume. With a focus on mathematics and peppered with a scattering of computer science settings, the entries range from lightly humorous to curiously thought-provoking. Each chapter includes sections and sub-sections that illustrate and supplement the point at hand. Most topics are self-contained within each chapter, and a solid high school mathematics background is all that is needed to enjoy the discussions. There certainly is much to enjoy here.'CHOICEEver notice how people sometimes use math words inaccurately? Or how sometimes you instinctively know a math statement is false (or not known)?Each chapter of this book makes a point like those above and then illustrates the point by doing some real mathematics through step-by-step mathematical techniques.This book gives readers valuable information about how mathematics and theoretical computer science work, while teaching them some actual mathematics and computer science through examples and exercises. Much of the mathematics could be understood by a bright high school student. The points made can be understood by anyone with an interest in math, from the bright high school student to a Field's medal winner.
R 2,552.45
Advances in Intelligent Systems, Computer Science and Digital Economics III
The book comprises high-quality refereed research papers presented at the Third International Symposium on Computer Science, Digital Economy, and Intelligent Systems (CSDEIS2021), held in Moscow, Russia, on December 25-26, 2021, organized jointly by the Mechanical Engineering Research Institute of the Russian Academy of Sciences，Moscow State Technical University, and the International Research Association of Modern Education and Computer Science. The topics discussed in the book includes state-of-the-art papers in computer science and their technological applications; intelligent systems and intellectual approaches; digital economics and methodological approaches. It is an excellent source of references for researchers, graduate students, engineers, management practitioners, and undergraduate students interested in computer science and its applications in engineering and management.
R 7,811.42
Discovering Computer Science
"Havill's problem-driven approach introduces algorithmic concepts in context and motivates students with a wide range of interests and backgrounds." -- Janet Davis, Associate Professor and Microsoft Chair of Computer Science, Whitman College "This book looks really great and takes exactly the approach I think should be used for a CS 1 course. I think it really fills a need in the textbook landscape." -- Marie desJardins, Dean of the College of Organizational, Computational, and Information Sciences, Simmons University"Discovering Computer Science is a refreshing departure from introductory programming texts, offering students a much more sincere introduction to the breadth and complexity of this ever-growing field." -- James Deverick, Senior Lecturer, The College of William and Mary"This unique introduction to the science of computing guides students through broad and universal approaches to problem solving in a variety of contexts and their ultimate implementation as computer programs." -- Daniel Kaplan, DeWitt Wallace Professor, Macalester College Discovering Computer Science: Interdisciplinary Problems, Principles, and Python Programming is a problem-oriented introduction to computational problem solving and programming in Python, appropriate for a first course for computer science majors, a more targeted disciplinary computing course or, at a slower pace, any introductory computer science course for a general audience.Realizing that an organization around language features only resonates with a narrow audience, this textbook instead connects programming to students’ prior interests using a range of authentic problems from the natural and social sciences and the digital humanities. The presentation begins with an introduction to the problem-solving process, contextualizing programming as an essential component. Then, as the book progresses, each chapter guides students through solutions to increasingly complex problems, using a spiral approach to introduce Python language features.The text also places programming in the context of fundamental computer science principles, such as abstraction, efficiency, testing, and algorithmic techniques, offering glimpses of topics that are traditionally put off until later courses.This book contains 30 well-developed independent projects that encourage students to explore questions across disciplinary boundaries, over 750 homework exercises, and 300 integrated reflection questions engage students in problem solving and active reading.The accompanying website — https://www.discoveringcs.net — includes more advanced content, solutions to selected exercises, sample code and data files, and pointers for further exploration.
R 4,066.00
Computer Science and Education in Computer Science
This book constitutes the refereed post-conference proceedings of the 18th EAI International Conference on Computer Science and Education in Computer Science, CSECS 2022, held in June 2022 in Sofia, Bulgaria. Due to COVID-19 pandemic the conference was held On-Site and virtually.The 15 full papers and 9 short papers were carefully reviewed and selected from 53 submissions. The papers present are grouped into 2 tracks, i.e., computer science implementations and education in computer science. CSECS conference presents research in software engineering and information systems design, cryptography, the theoretical foundation of the algorithms, and implementation of machine learning and big data technologies. Another important topic of the conference is the education in computer science which includes the introduction and evaluation of computing programs, curricula, and online courses, to syllabus, laboratories, teaching, and pedagogy aspects. The technical and education topics evolved multiple existing and emerging technologies, solutions, and services for design and training providing a heterogeneous approach towards delivering Software 4.0 and Education 4.0 to a broad range of citizens and societies.
R 3,893.50
Advances in Computer Science and Ubiquitous Computing
This book presents the combined proceedings of the 11th International Conference on Computer Science and its Applications (CSA 2019) and the 14th KIPS International Conference on Ubiquitous Information Technologies and Applications (CUTE 2019), both held in Macau, China, December 18–20, 2019.The aim of these two meetings was to promote discussion and interaction among academics, researchers and professionals in the field of ubiquitous computing technologies.These proceedings reflect the state of the art in the development of computational methods, involving theory, algorithms, numerical simulation, error and uncertainty analysis and novel applications of new processing techniques in engineering, science and other disciplines related to ubiquitous computing.
R 6,228.00
Discovering Computer Science
"Havill's problem-driven approach introduces algorithmic concepts in context and motivates students with a wide range of interests and backgrounds." -- Janet Davis, Associate Professor and Microsoft Chair of Computer Science, Whitman College "This book looks really great and takes exactly the approach I think should be used for a CS 1 course. I think it really fills a need in the textbook landscape." -- Marie desJardins, Dean of the College of Organizational, Computational, and Information Sciences, Simmons University"Discovering Computer Science is a refreshing departure from introductory programming texts, offering students a much more sincere introduction to the breadth and complexity of this ever-growing field." -- James Deverick, Senior Lecturer, The College of William and Mary"This unique introduction to the science of computing guides students through broad and universal approaches to problem solving in a variety of contexts and their ultimate implementation as computer programs." -- Daniel Kaplan, DeWitt Wallace Professor, Macalester College Discovering Computer Science: Interdisciplinary Problems, Principles, and Python Programming is a problem-oriented introduction to computational problem solving and programming in Python, appropriate for a first course for computer science majors, a more targeted disciplinary computing course or, at a slower pace, any introductory computer science course for a general audience.Realizing that an organization around language features only resonates with a narrow audience, this textbook instead connects programming to students’ prior interests using a range of authentic problems from the natural and social sciences and the digital humanities. The presentation begins with an introduction to the problem-solving process, contextualizing programming as an essential component. Then, as the book progresses, each chapter guides students through solutions to increasingly complex problems, using a spiral approach to introduce Python language features.The text also places programming in the context of fundamental computer science principles, such as abstraction, efficiency, testing, and algorithmic techniques, offering glimpses of topics that are traditionally put off until later courses.This book contains 30 well-developed independent projects that encourage students to explore questions across disciplinary boundaries, over 750 homework exercises, and 300 integrated reflection questions engage students in problem solving and active reading.The accompanying website — https://www.discoveringcs.net — includes more advanced content, solutions to selected exercises, sample code and data files, and pointers for further exploration.
R 10,067.34
Computer Science: A Very Short Introduction
Over the past sixty years, the spectacular growth of the technologies associated with the computer is visible for all to see and experience. Yet, the science underpinning this technology is less visible and little understood outside the professional computer science community. As a scientific discipline, computer science stands alongside the likes of molecular biology and cognitive science as one of the most significant new sciences of the post Second World War era. In this Very Short Introduction, Subrata Dasgupta sheds light on these lesser known areas and considers the conceptual basis of computer science. Discussing algorithms, programming, and sequential and parallel processing, he considers emerging modern ideas such as biological computing and cognitive modelling, challenging the idea of computer science as a science of the artificial. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.
R 309.00
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R 596.00
Discrete Mathematics for Computer Science
Discrete Mathematics for Computer Science: An Example-Based Introduction is intended for a first- or second-year discrete mathematics course for computer science majors. It covers many important mathematical topics essential for future computer science majors, such as algorithms, number representations, logic, set theory, Boolean algebra, functions, combinatorics, algorithmic complexity, graphs, and trees. Features Designed to be especially useful for courses at the community-college level Ideal as a first- or second-year textbook for computer science majors, or as a general introduction to discrete mathematics Written to be accessible to those with a limited mathematics background, and to aid with the transition to abstract thinking Filled with over 200 worked examples, boxed for easy reference, and over 200 practice problems with answers Contains approximately 40 simple algorithms to aid students in becoming proficient with algorithm control structures and pseudocode Includes an appendix on basic circuit design which provides a real-world motivational example for computer science majors by drawing on multiple topics covered in the book to design a circuit that adds two eight-digit binary numbersJon Pierre Fortney graduated from the University of Pennsylvania in 1996 with a BA in Mathematics and Actuarial Science and a BSE in Chemical Engineering. Prior to returning to graduate school, he worked as both an environmental engineer and as an actuarial analyst. He graduated from Arizona State University in 2008 with a PhD in Mathematics, specializing in Geometric Mechanics. Since 2012, he has worked at Zayed University in Dubai. This is his second mathematics textbook.
R 3,167.55
Learn Computer Science with Swift
Master the basics of solving logic puzzles, and creating algorithms using Swift on Apple platforms. This book is based on the curriculum currently being used in common computer classes. You’ll learn to automate algorithmic processes that scale using Swift in the context of iOS, macOS, tvOS, and watchOS.Begin by understanding how to think computationally: to formulate a computational problem and recognize patterns and ways to validate it. Then jump ahead past the abstractions and conceptual work into using code snippets to build frameworks and write code using Xcode and Swift. Once you have frameworks in place, you’ll learn to use algorithms and structure data. Finally, you’ll see how to bring people into what you’ve built through a useable UI and how UI and code relate.What You'll LearnRecognize patterns and use abstractionsBuild code into reusable frameworksManage code and share version controlSolve logic puzzlesWho This Book Is For Young professionals interested in learning computer science from an Apple platform standpoint.
R 684.00
R 1,160.00
Theoretical Computer Science
This book constitutes the refereed proceedings of the 42nd National Conference on Theoretical Computer Science, NCTCS 2024, held in Qingdao, China, during July 19-21, 2024. The 13 full papers included in this book were carefully reviewed and selected from 75 submissions. They were organized in topical sections as follows: Algorithm Design, Approximation Algorithms, Logics, and Artificial Intelligence Theory and Algorithm, Algorithm Application.
R 2,538.36
Computational Science/Intelligence & Applied Informatics
This book presents the outcomes of the 5th ACIS International Conference on Computational Science/Intelligence & Applied Informatics (CSII 2018), which was held on July 10–12, 2018 in Yonago, Japan. The aim of the conference was to bring together researchers and scientists, businesspeople and entrepreneurs, teachers, engineers, computer users, and students to discuss the various fields of computer science, to share their experiences, and to exchange new ideas and information in a meaningful way. All aspects (theory, applications and tools) of computer and information science, the practical challenges encountered along the way, and the solutions adopted to solve them are all explored here. The conference organizers selected the best papers from among those accepted for presentation. The papers were chosen on the basis of review scores submitted by members of the program committee and subsequently underwent further rigorous review. Following this second round of review, 13 of the conference’s most promising papers were selected for this Springer (SCI) book. We eagerly await the important contributions that we know these authors will make to the field of computer and information science.
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R 4,303.00
Computational Thinking: A Perspective on Computer Science
This textbook is intended as a textbook for one-semester, introductory computer science courses aimed at undergraduate students from all disciplines. Self-contained and with no prerequisites, it focuses on elementary knowledge and thinking models. The content has been tested in university classrooms for over six years, and has been used in summer schools to train university and high-school teachers on teaching introductory computer science courses using computational thinking.This book introduces computer science from a computational thinking perspective. In computer science the way of thinking is characterized by three external and eight internal features, including automatic execution, bit-accuracy and abstraction. The book is divided into chapters on logic thinking, algorithmic thinking, systems thinking, and network thinking. It also covers societal impact and responsible computing material – from ICT industry to digital economy, from the wonder of exponentiation to wonder of cyberspace, and from code of conduct to best practices for independent work.The book’s structure encourages active, hands-on learning using the pedagogic tool Bloom's taxonomy to create computational solutions to over 200 problems of varying difficulty. Students solve problems using a combination of thought experiment, programming, and written methods. Only 300 lines of code in total are required to solve most programming problems in this book.
R 2,564.00
Computer Science Today
This specially commissioned volume presents a unique collection of expository papers on major topics that are representative for computer science today. The 38 contributions, written by internationally leading experts in the computer science area on personal invitation, demonstrate the scope and stature of the field today and give an impression of the chief motivations and challenges for tomorrow's computer science and information technology.This anthology marks a truly extraordinary and festive moment: it is the 1000th volume published in the Lecture Notes in Computer Science series. It addresses all computer scientists and anybody interested in a representative overview of the field.
R 2,019.24
Connecting Discrete Mathematics and Computer Science
Computer science majors taking a non-programming-based course like discrete mathematics might ask 'Why do I need to learn this?' Written with these students in mind, this text introduces the mathematical foundations of computer science by providing a comprehensive treatment of standard technical topics while simultaneously illustrating some of the broad-ranging applications of that material throughout the field. Chapters on core topics from discrete structures – like logic, proofs, number theory, counting, probability, graphs – are augmented with around 60 'computer science connections' pages introducing their applications: for example, game trees (logic), triangulation of scenes in computer graphics (induction), the Enigma machine (counting), algorithmic bias (relations), differential privacy (probability), and paired kidney transplants (graphs). Pedagogical features include 'Why You Might Care' sections, quick-reference chapter guides and key terms and results summaries, problem-solving and writing tips, 'Taking it Further' asides with more technical details, and around 1700 exercises, 435 worked examples, and 480 figures.
R 3,133.00
R 1,442.69
Probability and Statistics for Computer Science
Comprehensive and thorough development of both probability and statistics for serious computer scientists; goal-oriented: "to present the mathematical analysis underlying probability results" Special emphases on simulation and discrete decision theory Mathematically-rich, but self-contained text, at a gentle pace Review of calculus and linear algebra in an appendix Mathematical interludes (in each chapter) which examine mathematical techniques in the context of probabilistic or statistical importance Numerous section exercises, summaries, historical notes, and Further Readings for reinforcement of content
R 5,111.00
OCR AS and A Level Computer Science
The aim of this book is to provide detailed coverage of the topics in the new OCR AS and A Level Computer Science specifications H046 / H446. The book is divided into twelve sections and within each section, each chapter covers material that can comfortably be taught in one or two lessons. Material that is applicable only to the second year of the full A Level is clearly marked. Sometimes this may include an entire chapter and at other times, just a small part of a chapter. Each chapter contains exercises and questions, some new and some from past examination questions. Answers to all these are available to teachers only in a free Teacher's Pack which can be ordered from our website www.pgonline.co.uk. This book has been written to cover the topics which will be examined in the written papers at both AS and A Level. Sections 10, 11 and 12 relate principally to problem solving skills, with programming techniques covered in sufficient depth to allow students to answer questions in Component 02. Pseudocode, rather than any specific programming language, is used in the algorithms given in the text. Sample Python programs which implement many of the algorithms are included in a folder with the Teacher's Pack.
R 1,610.00
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R 2,833.00
Computer Science – Theory and Applications
This book constitutes the proceedings of the 17th International Computer Science Symposium in Russia, CSR 2022, held in St. Petersburg, Russia, June 29-July 3, 2022. The 21 full papers were carefully reviewed and selected from 51 submissions. The papers cover a broad range of topics, such as formal languages and automata theory, geometry and discrete structures; theory and algorithms for application domains and much more.
R 3,329.70
R 850.00
Computer Science Why
CS Why is a book that presents a straightforward, curiosity-based approach to filling in the blanks around common, introductory material taught in Computer Science classes. If you have ever wondered "why is that?" about a programming phenomenon, historical tidbit, or common terminology, this book may have an answer that explains it.Questions include:Why do computers have trouble with floating point numbers?Why is it called Bluetooth? Why does it use that symbol?Why is it called bootstrapping?Why don't modifications to function parameters persist once the function returns?Why do we use the QWERTY keyboard?... and many more.Perfect for both students and IT professionals, this book provides the clear “why” to answer so many unstated CS questions. Take any example in the book, from base 2 to timezones, and you will have an answer that cements your insight on the “why” of the topic, reinforcing your rote memorization with deeper understanding and insight.
R 2,932.89
Theoretical Computer Science
Juraj Hromkovic takes the reader on an elegant route through the theoretical fundamentals of computer science. The author shows that theoretical computer science is a fascinating discipline, full of spectacular contributions and miracles. The book also presents the development of the computer scientist's way of thinking as well as fundamental concepts such as approximation and randomization in algorithmics, and the basic ideas of cryptography and interconnection network design.
R 3,042.01
Mathematical Foundations of Computer Science
Mathematical Foundations of Computer Science introduces students to the discrete mathematics needed later in their Computer Science coursework with theory of computation topics interleaved throughout. Students learn about mathematical concepts just in time to apply them to theory of computation ideas. For instance, sets motivate the study of finite automata, direct proof is practised using closure properties, induction is used to prove the language of an automaton, and contradiction is used to apply the pumping lemma. The main content of the book starts with primitive data types such as sets and strings and ends with showing the undecidability of the halting problem. There are also appendix chapters on combinatorics, probability, elementary number theory, asymptotic notation, graphs, loop invariants, and recurrences. The content is laid out concisely with a heavy reliance on worked examples, of which there are over 250 in the book. Each chapter has exercises, totalling 550. This class-tested textbook is targeted to intermediate Computer Science majors, and it is primarily intended for a discrete math / proofs course in a Computer Science major. It is also suitable for introductory theory of computation courses.
R 5,860.02
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Improving Computer Science Education
Improving Computer Science Education examines suitable theoretical frameworks for conceptualizing teaching and learning computer science. This highly useful book provides numerous examples of practical, "real world" applications of major computer science information topics, such as:• Spreadsheets• Databases• ProgrammingEach chapter concludes with a section that summarzies recommendations for teacher professional development. Traditionally, computer science education has been skills-focused and disconnected from the reality students face after they leave the classroom. Improving Computer Science Education makes the subject matter useful and meaningful by connecting it explicitly to students' everyday lives.
R 9,297.63
Computational Science and High Performance Computing IV
This volume contains 27 contributions to the Forth Russian-German Advanced Research Workshop on Computational Science and High Performance Computing presented in October 2009 in Freiburg, Germany. The workshop was organized jointly by the High Performance Computing Center Stuttgart (HLRS), the Institute of Computational Technologies of the Siberian Branch of the Russian Academy of Sciences (ICT SB RAS) and the Section of Applied Mathematics of the University of Freiburg (IAM Freiburg) The contributions range from computer science, mathematics and high performance computing to applications in mechanical and aerospace engineering. They show a wealth of theoretical work and simulation experience with a potential of bringing together theoretical mathematical modelling and usage of high performance computing systems presenting the state of the art of computational technologies.
R 7,340.05
Computational Science/Intelligence and Applied Informatics
This book presents the scientific outcome of the 4th ACIS International Conference on Computational Science/Intelligence & Applied Informatics (CSII 2017), which was held on July 9–13, 2017 in Hamamatsu, Japan. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science, to share their experiences and to exchange new ideas and information in a meaningful way. The book includes research findings concerning all aspects (theory, applications and tools) of computer and information science, and discusses the practical challenges encountered and the solutions adopted to address them.The book features 16 of the conference’s most promising papers, written by researchers who are expected to make significant contributions in the field of computer and information science.
R 3,554.20
R 6,094.01
Computer Science - Theory and Applications
This book constitutes the proceedings of the 8th International Computer Science Symposium in Russia, CSR 2013, held in Ekaterinburg, Russia, in June 2013. The 29 full papers presented in this volume were carefully reviewed and selected from 52 submissions. In addition the book contains 8 invited lectures. The papers are organized in topical sections on: algorithms; automata; logic and proof complexity; complexity; words and languages; and logic and automata.
R 2,199.47
Logic And Language Models For Computer Science (Third Edition)
This text presents the formal concepts underlying Computer Science.It starts with a wide introduction to Logic with an emphasis on reasoning and proof, with chapters on Program Verification and Prolog.The treatment of computability with Automata and Formal Languages stands out in several ways:The style is appropriate for both undergraduate and graduate classes.
R 2,048.70
