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Author: Tom Halt Publisher: Clanrye International ISBN: 9781632407009 Category : Computers Languages : en Pages : 230
Book Description
Computer science is a fast growing field and has occupied an important place in today's time. The subject of computer science studies the theories and experiments used in building new designs of computers. The two main areas of computer science are theoretical computer science and applied computer science. This book studies, analyses and upholds the pillars of computer science and related technology. A number of latest researches have been included to keep the readers up-to-date with the global concepts in this area of study.
Author: Tom Halt Publisher: Clanrye International ISBN: 9781632407009 Category : Computers Languages : en Pages : 230
Book Description
Computer science is a fast growing field and has occupied an important place in today's time. The subject of computer science studies the theories and experiments used in building new designs of computers. The two main areas of computer science are theoretical computer science and applied computer science. This book studies, analyses and upholds the pillars of computer science and related technology. A number of latest researches have been included to keep the readers up-to-date with the global concepts in this area of study.
Author: Robert Sedgewick Publisher: Addison-Wesley Professional ISBN: 0134076451 Category : Computers Languages : en Pages : 2172
Book Description
Named a Notable Book in the 21st Annual Best of Computing list by the ACM! Robert Sedgewick and Kevin Wayne’s Computer Science: An Interdisciplinary Approach is the ideal modern introduction to computer science with Java programming for both students and professionals. Taking a broad, applications-based approach, Sedgewick and Wayne teach through important examples from science, mathematics, engineering, finance, and commercial computing. The book demystifies computation, explains its intellectual underpinnings, and covers the essential elements of programming and computational problem solving in today’s environments. The authors begin by introducing basic programming elements such as variables, conditionals, loops, arrays, and I/O. Next, they turn to functions, introducing key modular programming concepts, including components and reuse. They present a modern introduction to object-oriented programming, covering current programming paradigms and approaches to data abstraction. Building on this foundation, Sedgewick and Wayne widen their focus to the broader discipline of computer science. They introduce classical sorting and searching algorithms, fundamental data structures and their application, and scientific techniques for assessing an implementation’s performance. Using abstract models, readers learn to answer basic questions about computation, gaining insight for practical application. Finally, the authors show how machine architecture links the theory of computing to real computers, and to the field’s history and evolution. For each concept, the authors present all the information readers need to build confidence, together with examples that solve intriguing problems. Each chapter contains question-and-answer sections, self-study drills, and challenging problems that demand creative solutions. Companion web site (introcs.cs.princeton.edu/java) contains Extensive supplementary information, including suggested approaches to programming assignments, checklists, and FAQs Graphics and sound libraries Links to program code and test data Solutions to selected exercises Chapter summaries Detailed instructions for installing a Java programming environment Detailed problem sets and projects Companion 20-part series of video lectures is available at informit.com/title/9780134493831
Author: Zoey Clark Publisher: ISBN: 9781682858974 Category : Computers Languages : en Pages : 254
Book Description
The branch of study which is concerned with the processes which can be represented as data in the form of programs and which interact with data is known as computer science. It focuses on the usage of algorithms for the manipulation, communication and storage of digital information. It also studies the theory of computing. Information science deals with the classification, collection, movement, retrieval, protection and storage of information. It seeks to study the usage and application of data and information for the purpose of improving, creating, understanding or replacing information systems. It is closely associated with computer science and technology. This textbook provides comprehensive insights into the field of computer and information science. It unfolds the innovative aspects of these fields which will be crucial for the progress in the future. Those in search of information to further their knowledge will be greatly assisted by this book.
Author: Kavita S. Jerath Publisher: Springer Nature ISBN: 3030804658 Category : Social Science Languages : en Pages : 205
Book Description
This book provides a full scale description and discussion of science, technology, society, cross-cultural communication and modernity and is presented at a level that makes it accessible to the interested academic. Starting with the historical overview, the text outlines the relevance of technology today and in the future. Then follows an introduction to the discovery and invention by agricultural, feudal, capitalist and socialist systems, and conversely the ways in which science and technology has altered economic, social, and political beliefs and practices during industrial revolutions and have transformed the whole nature of human society. Tracing the relationship between science and technology from dawn to civilization to the twenty first century, the book argues that technology is applied science and vice versa and this phenomenon emerged relatively recently, as industry and governments began funding scientific research that would lead to new technologies. The book goes beyond technology by also describing the path from modernity to post modernity and discussing the theories of modernity. Further the internet and social media receive increased attention as well. Finally, the discussion turns to the future structure of society and gender equality, expected to have a more distributed future generation, thereby addressing the synergies between education system, globalization and cross-cultural communication. This book is designed as the primary general textbook for Engineers at the undergraduate level in any university. This course is a multidisciplinary elective course from emerging areas in the 4- year institution and is a required course in most universities.
Author: Fadi P. Deek Publisher: CRC Press ISBN: 1420031112 Category : Computers Languages : en Pages : 361
Book Description
The pervasiveness of software in business makes it crucial that software engineers and developers understand how software development impacts an entire organization. Strategic Software Engineering: An Interdisciplinary Approach presents software engineering as a strategic, business-oriented, interdisciplinary endeavor, rather than simply a technica
Author: Robert Sedgewick Publisher: Addison-Wesley Professional ISBN: 0134511603 Category : Computers Languages : en Pages : 1585
Book Description
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Programming skills are indispensable in today’s world, not just for computer science students, but also for anyone in any scientific or technical discipline. Introduction to Programming in Java, Second Edition, by Robert Sedgewick and Kevin Wayne is an accessible, interdisciplinary treatment that emphasizes important and engaging applications, not toy problems. The authors supply the tools needed for students and professionals to learn that programming is a natural, satisfying, and creative experience, and to become conversant with one of the world’s most widely used languages. This example-driven guide focuses on Java’s most useful features and brings programming to life for every student in the sciences, engineering, and computer science. Coverage includes Basic elements of programming: variables, assignment statements, built-in data types, conditionals, loops, arrays, and I/O, including graphics and sound Functions, modules, and libraries: organizing programs into components that can be independently debugged, maintained, and reused Algorithms and data structures: sort/search algorithms, stacks, queues, and symbol tables Applications from applied math, physics, chemistry, biology, and computer science Drawing on their extensive classroom experience, throughout the text the authors provide Q&As, exercises, and opportunities for creative engagement with the material. Together with the companion materials described below, this book empowers people to pursue a modern approach to teaching and learning programming. Companion web site (introcs.cs.princeton.edu/java) contains Chapter summaries Supplementary exercises, some with solutions Detailed instructions for installing a Java programming environment Program code and test data suitable for easy download Detailed creative exercises, projects, and other supplementary materials Companion studio-produced online videos (informit.com/sedgewick) are available for purchase and provide students and professionals with the opportunity to engage with the material at their own pace and give instructors the opportunity to spend their time with students helping them to succeed on assignments and exams. Register your product at informit.com/register for convenient access to downloads, updates, and corrections as they become available.
Author: Samuel B. Fee Publisher: Springer ISBN: 3319542265 Category : Education Languages : en Pages : 306
Book Description
Why should every student take a computing course? What should be the content of these courses? How should they be taught, and by whom? This book addresses these questions by identifying the broader reaches of computing education, problem-solving and critical thinking as a general approach to learning. The book discusses new approaches to computing education, and considers whether the modern ubiquity of computing requires an educational approach that is inherently interdisciplinary and distinct from the traditional computer science perspective. The alternative approach that the authors advocate derives its mission from an intent to embed itself within an interdisciplinary arts and science context. An interdisciplinary approach to computing is compellingly valuable for students and educational institutions alike. Its goal is to support the educational and intellectual needs of students with interests in the entire range of academic disciplines. It capitalizes on students’ focus on career development and employers’ demand for technical, while also engaging a diverse student body that may not possess a pre-existing interest in computing for computing’s sake. This approach makes directly evident the applicability of computer science topics to real-world interdisciplinary problems beyond computing and recognizes that technical and computational abilities are essential within every discipline. The book offers a valuable resource for computer science and computing education instructors who are presently re-thinking their curricula and pedagogical approaches and are actively trying new methods in the classroom. It will also benefit graduate students considering a future of teaching in the field, as well as administrators (in both higher education and high schools) interested in becoming conversant in the discourse surrounding the future of computing education.
Author: Robert Sedgewick Publisher: Addison-Wesley Professional ISBN: 0134076524 Category : Computers Languages : en Pages : 1487
Book Description
Today, anyone in a scientific or technical discipline needs programming skills. Python is an ideal first programming language, and Introduction to Programming in Python is the best guide to learning it. Princeton University’s Robert Sedgewick, Kevin Wayne, and Robert Dondero have crafted an accessible, interdisciplinary introduction to programming in Python that emphasizes important and engaging applications, not toy problems. The authors supply the tools needed for students to learn that programming is a natural, satisfying, and creative experience. This example-driven guide focuses on Python’s most useful features and brings programming to life for every student in the sciences, engineering, and computer science. Coverage includes Basic elements of programming: variables, assignment statements, built-in data types, conditionals, loops, arrays, and I/O, including graphics and sound Functions, modules, and libraries: organizing programs into components that can be independently debugged, maintained, and reused Object-oriented programming and data abstraction: objects, modularity, encapsulation, and more Algorithms and data structures: sort/search algorithms, stacks, queues, and symbol tables Examples from applied math, physics, chemistry, biology, and computer science—all compatible with Python 2 and 3 Drawing on their extensive classroom experience, the authors provide Q&As, exercises, and opportunities for creative practice throughout. An extensive amount of supplementary information is available at introcs.cs.princeton.edu/python. With source code, I/O libraries, solutions to selected exercises, and much more, this companion website empowers people to use their own computers to teach and learn the material.
Author: Robert Sedgewick Publisher: ISBN: 9781292025568 Category : Computer programming Languages : en Pages : 481
Book Description
By emphasizing the application of computer programming not only in success stories in the software industry but also in familiar scenarios in physical and biological science, engineering, and applied mathematics, Introduction to Programming in Java takes an interdisciplinary approach to teaching programming with the Java(TM) programming language. Interesting applications in these fields foster a foundation of computer science concepts and programming skills that students can use in later courses while demonstrating that computation is an integral part of the modern world. Ten years in development, this book thoroughly covers the field and is ideal for traditional introductory programming courses. It can also be used as a supplement or a main text for courses that integrate programming with mathematics, science, or engineering.
Author: Orit Hazzan Publisher: Springer Nature ISBN: 3031247582 Category : Computers Languages : en Pages : 330
Book Description
Data science is a new field that touches on almost every domain of our lives, and thus it is taught in a variety of environments. Accordingly, the book is suitable for teachers and lecturers in all educational frameworks: K-12, academia and industry. This book aims at closing a significant gap in the literature on the pedagogy of data science. While there are many articles and white papers dealing with the curriculum of data science (i.e., what to teach?), the pedagogical aspect of the field (i.e., how to teach?) is almost neglected. At the same time, the importance of the pedagogical aspects of data science increases as more and more programs are currently open to a variety of people. This book provides a variety of pedagogical discussions and specific teaching methods and frameworks, as well as includes exercises, and guidelines related to many data science concepts (e.g., data thinking and the data science workflow), main machine learning algorithms and concepts (e.g., KNN, SVM, Neural Networks, performance metrics, confusion matrix, and biases) and data science professional topics (e.g., ethics, skills and research approach). Professor Orit Hazzan is a faculty member at the Technion’s Department of Education in Science and Technology since October 2000. Her research focuses on computer science, software engineering and data science education. Within this framework, she studies the cognitive and social processes on the individual, the team and the organization levels, in all kinds of organizations. Dr. Koby Mike is a Ph.D. graduate from the Technion's Department of Education in Science and Technology under the supervision of Professor Orit Hazzan. He continued his post-doc research on data science education at the Bar-Ilan University, and obtained a B.Sc. and an M.Sc. in Electrical Engineering from Tel Aviv University.