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Breaking Down Problems in Computer Science by Barbara M. Linde Pdf
In computer science, understanding problems and systems can be difficult and time consuming. In this book, readers will learn about decomposition, a technique used to break down computer problems and systems into parts that are easier to understand and work with. STEM topics from the Next Generation Science Standards are discussed throughout this informative text. Students will be surprised to learn they actually decompose problems in their daily lives without even realizing it.
Classic Computer Science Problems in Python by David Kopec Pdf
"Whether you're a novice or a seasoned professional, there's an Aha! moment in this book for everyone." - James Watson, Adaptive ”Highly recommended to everyone interested in deepening their understanding of Python and practical computer science.” —Daniel Kenney-Jung, MD, University of Minnesota Key Features • Master formal techniques taught in college computer science classes • Connect computer science theory to real-world applications, data, and performance • Prepare for programmer interviews • Recognize the core ideas behind most “new” challenges • Covers Python 3.7 Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About The Book Programming problems that seem new or unique are usually rooted in well-known engineering principles. Classic Computer Science Problems in Python guides you through time-tested scenarios, exercises, and algorithms that will prepare you for the “new” problems you’ll face when you start your next project. In this amazing book, you'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. As you work through examples for web development, machine learning, and more, you'll remember important things you've forgotten and discover classic solutions that will save you hours of time. What You Will Learn • Search algorithms • Common techniques for graphs • Neural networks • Genetic algorithms • Adversarial search • Uses type hints throughout This Book Is Written For For intermediate Python programmers. About The Author David Kopec is an assistant professor of Computer Science and Innovation at Champlain College in Burlington, Vermont. He is the author of Dart for Absolute Beginners (Apress, 2014), Classic Computer Science Problems in Swift (Manning, 2018), and Classic Computer Science Problems in Java (Manning, 2020) Table of Contents 1. Small problems 2. Search problems 3. Constraint-satisfaction problems 4. Graph problems 5. Genetic algorithms 6. K-means clustering 7. Fairly simple neural networks 8. Adversarial search 9. Miscellaneous problems
The real challenge of programming isn't learning a language's syntax—it's learning to creatively solve problems so you can build something great. In this one-of-a-kind text, author V. Anton Spraul breaks down the ways that programmers solve problems and teaches you what other introductory books often ignore: how to Think Like a Programmer. Each chapter tackles a single programming concept, like classes, pointers, and recursion, and open-ended exercises throughout challenge you to apply your knowledge. You'll also learn how to: –Split problems into discrete components to make them easier to solve –Make the most of code reuse with functions, classes, and libraries –Pick the perfect data structure for a particular job –Master more advanced programming tools like recursion and dynamic memory –Organize your thoughts and develop strategies to tackle particular types of problems Although the book's examples are written in C++, the creative problem-solving concepts they illustrate go beyond any particular language; in fact, they often reach outside the realm of computer science. As the most skillful programmers know, writing great code is a creative art—and the first step in creating your masterpiece is learning to Think Like a Programmer.
The fun and simple problem-solving guide that took Japan by storm Ken Watanabe originally wrote Problem Solving 101 for Japanese schoolchildren. His goal was to help shift the focus in Japanese education from memorization to critical thinking, by adapting some of the techniques he had learned as an elite McKinsey consultant. He was amazed to discover that adults were hungry for his fun and easy guide to problem solving and decision making. The book became a surprise Japanese bestseller, with more than 370,000 in print after six months. Now American businesspeople can also use it to master some powerful skills. Watanabe uses sample scenarios to illustrate his techniques, which include logic trees and matrixes. A rock band figures out how to drive up concert attendance. An aspiring animator budgets for a new computer purchase. Students decide which high school they will attend. Illustrated with diagrams and quirky drawings, the book is simple enough for a middleschooler to understand but sophisticated enough for business leaders to apply to their most challenging problems.
Classic Computer Science Problems in Java by David Kopec Pdf
Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. Summary Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. You’ll work through a series of exercises based in computer science fundamentals that are designed to improve your software development abilities, improve your understanding of artificial intelligence, and even prepare you to ace an interview. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Whatever software development problem you’re facing, odds are someone has already uncovered a solution. This book collects the most useful solutions devised, guiding you through a variety of challenges and tried-and-true problem-solving techniques. The principles and algorithms presented here are guaranteed to save you countless hours in project after project. About the book Classic Computer Science Problems in Java is a master class in computer programming designed around 55 exercises that have been used in computer science classrooms for years. You’ll work through hands-on examples as you explore core algorithms, constraint problems, AI applications, and much more. What's inside Recursion, memoization, and bit manipulation Search, graph, and genetic algorithms Constraint-satisfaction problems K-means clustering, neural networks, and adversarial search About the reader For intermediate Java programmers. About the author David Kopec is an assistant professor of Computer Science and Innovation at Champlain College in Burlington, Vermont. Table of Contents 1 Small problems 2 Search problems 3 Constraint-satisfaction problems 4 Graph problems 5 Genetic algorithms 6 K-means clustering 7 Fairly simple neural networks 8 Adversarial search 9 Miscellaneous problems 10 Interview with Brian Goetz
Programming and Problem Solving by David a Freitag Pdf
Programming is hard when you don't have all the information you need. This book tries to fill in some gaps that first semester programming books seem to overlook or don't emphasize. This is not a standalone book. It is meant to be used in conjunction with a first-semester programming and problem solving textbook.
This text is structured in a problem-solution format that requires the student to think through the programming process. New to the second edition are additional chapters on suffix trees, games and strategies, and Huffman coding as well as an Appendix illustrating the ease of conversion from Pascal to C.
Computational Science and Its Applications - ICCSA 2011 by Beniamino Murgante,Osvaldo Gervasi,Andres Iglesias,David Taniar,Bernady O. Apduhan Pdf
The five-volume set LNCS 6782 - 6786 constitutes the refereed proceedings of the International Conference on Computational Science and Its Applications, ICCSA 2011, held in Santander, Spain, in June 2011. The five volumes contain papers presenting a wealth of original research results in the field of computational science, from foundational issues in computer science and mathematics to advanced applications in virtually all sciences making use of computational techniques. The topics of the fully refereed papers are structured according to the five major conference themes: geographical analysis, urban modeling, spatial statistics; cities, technologies and planning; computational geometry and applications; computer aided modeling, simulation, and analysis; and mobile communications.
Computer-Based Problem Solving Process by Teodor Rus Pdf
The author looks at the issues of how computing are used and taught, with a focus on embedding computers within problem solving process by making computer language part of natural language of the domain instead of embedding problem domain in the computer by programming. The book builds on previous editions of system software and software systems, concepts and methodology and develops a framework for software creation that supports domain-oriented problem solving process adapting Polya's four steps methodology for mathematical problem solving: Formalize the problem;Develop an algorithm to solve the problem;Perform the algorithm on the data characterizing the problem;Validate the solution. to the computer use for problem solving in any domain, including computer programming. Contents:Systems Methodology:Introduction to System SoftwareFormal SystemsAd Hoc SystemsCommon Systems in Software DevelopmentComputer Architecture and Functionality:Hardware SystemFunctional Behavior of Hardware ComponentsAlgorithmic Expression of a Hardware SystemUsing Computers to Solve ProblemsSoftware Tools Supporting Program Execution:Computer Process Manipulation by ProgramsMemory Management SystemI/O Device Management SystemComputation Activity and Its Management ToolsSoftware Tools Supporting Program Development:Problem Solving by Software ToolsWeb-Based Problem Solving ProcessSoftware Tool Development IllustrationSoftware Tools for Correct Program DevelopmentComputer Operation by Problem Solving Process:Using First Computers to Solve ProblemsBatch Operating SystemProblem of ProtectionTiming Program ExecutionEfficiency of Batch Operating SystemsConvenience of the BOSReal-Time Systems Readership: Student, general public and professional. Key Features:This is one of the few books in the market that promote programming as a problem solving process following Polya for mathematical problem solvingThis book consolidates the concepts of system methodology, computer architecture, system tools program execution into workflow of the four steps Polya problem solving processThis book insists to hold the hands of readers to walk through the internal working of a computer system from problem deposition to hardware state transitions, a view that has been lost in most computer science curricula currently taught in universities and collegesKeywords:Software Engineering;Programming Methodology;Computer Engineering
Computer Science Distilled by Wladston Ferreira Filho Pdf
A walkthrough of computer science concepts you must know. Designed for readers who don't care for academic formalities, it's a fast and easy computer science guide. It teaches the foundations you need to program computers effectively. After a simple introduction to discrete math, it presents common algorithms and data structures. It also outlines the principles that make computers and programming languages work.
TEXTBOOK OF COMPUTER SCIENCE FOR CLASS XI by SEEMA BHATNAGAR Pdf
This textbook, presented in a clear and friendly writing style, provides students of Class XI with a thorough introduction to the discipline of computer science. It offers accurate and balanced coverage of all the computer science topics as prescribed in the CBSE syllabus Code 083. Assuming no previous knowledge of computer science, this book discusses key computing concepts to provide invaluable insight into how computers work. It prepares students for the world of computing by giving them a solid foundation in programming concepts, operating systems, problem solving methodology, C++ programming language, data representation, and computer hardware. KEY FEATURES • Explains theory in user friendly and easy-to-approach style • Teaches C++ from scratch; knowledge of C is not needed • Provides Programming Examples • Gives Practical Exercise • Provides Answers to Short Questions • Gives Practice Questions at the end of each chapter • Suitable for Self-Study
Interdisciplinary Perspectives on Virtual Place-Based Learning by Reneta D. Lansiquot,Sean P. MacDonald Pdf
This book explores how virtual place-based learning and research has been interpreted and incorporated into learning environments both within and across disciplinary perspectives. Contributing authors highlight the ways in which they have employed a variety of methodologies to engage students in the virtual exploration of place. In the process, they focus on the approaches they have used to bring the real world closer through virtual exploration. Chapters examine how the resources of the urban environment have been tapped to design student research projects within the context of an interdisciplinary course. In this way, authors highlight how virtual place-based learning has employed the tools of mapping and data visualization, information literacy, game design, digital storytelling, and the creation of non-fiction VR documentaries. This book makes a valuable contribution to the literature, offering a model of how the study of place can be employed in creative ways to enhance interdisciplinary learning.
