Algorithmic Thinking

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Algorithmic Thinking

Author : Daniel Zingaro
Publisher : No Starch Press
ISBN 13 : 1718500815
Total Pages : 409 pages
Book Rating : 4.7/5 (185 download)

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Book Synopsis Algorithmic Thinking by : Daniel Zingaro

Download or read book Algorithmic Thinking written by Daniel Zingaro and published by No Starch Press. This book was released on 2020-12-15 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on, problem-based introduction to building algorithms and data structures to solve problems with a computer. Algorithmic Thinking will teach you how to solve challenging programming problems and design your own algorithms. Daniel Zingaro, a master teacher, draws his examples from world-class programming competitions like USACO and IOI. You'll learn how to classify problems, choose data structures, and identify appropriate algorithms. You'll also learn how your choice of data structure, whether a hash table, heap, or tree, can affect runtime and speed up your algorithms; and how to adopt powerful strategies like recursion, dynamic programming, and binary search to solve challenging problems. Line-by-line breakdowns of the code will teach you how to use algorithms and data structures like: The breadth-first search algorithm to find the optimal way to play a board game or find the best way to translate a book Dijkstra's algorithm to determine how many mice can exit a maze or the number of fastest routes between two locations The union-find data structure to answer questions about connections in a social network or determine who are friends or enemies The heap data structure to determine the amount of money given away in a promotion The hash-table data structure to determine whether snowflakes are unique or identify compound words in a dictionary NOTE: Each problem in this book is available on a programming-judge website. You'll find the site's URL and problem ID in the description. What's better than a free correctness check?

Algorithmic Thinking

Author : Daniel Zingaro
Publisher : No Starch Press
ISBN 13 : 1718500807
Total Pages : 409 pages
Book Rating : 4.7/5 (185 download)

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Book Synopsis Algorithmic Thinking by : Daniel Zingaro

Python and Algorithmic Thinking for the Complete Beginner (2nd Edition)

Author : Aristides S Bouras
Publisher :
ISBN 13 : 9781099184871
Total Pages : 690 pages
Book Rating : 4.1/5 (848 download)

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Book Synopsis Python and Algorithmic Thinking for the Complete Beginner (2nd Edition) by : Aristides S Bouras

Download or read book Python and Algorithmic Thinking for the Complete Beginner (2nd Edition) written by Aristides S Bouras and published by . This book was released on 2019-06-16 with total page 690 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thoroughly revised for the latest version of Python, this book explains basic concepts in a clear and explicit way that takes very seriously one thing for granted-that the reader knows nothing about computer programming. Addressed to anyone who has no prior programming knowledge or experience, but a desire to learn programming with Python, it teaches the first thing that every novice programmer needs to learn, which is Algorithmic Thinking. Αlgorithmic Thinking involves more than just learning code. It is a problem-solving process that involves learning how to code. This edition contains all the popular features of the previous edition and adds a significant number of exercises, as well as extensive revisions and updates. Apart from Python's lists, it now also covers dictionaries, while a brand new section provides an effective introduction to the next field that a programmer needs to work with, which is Object Oriented Programming (OOP). This book has a class course structure with questions and exercises at the end of each chapter so you can test what you have learned right away and improve your comprehension. With 250 solved and 450 unsolved exercises, 475 true/false, about 150 multiple choice, and 200 review questions and crosswords (the solutions and the answers to which can be found on the Internet), this book is ideal for novices or average programmers, for self-study high school students first-year college or university students teachers professors anyone who wants to start learning or teaching computer programming using the proper conventions and techniques

Algorithmic Puzzles

Author : Anany Levitin
Publisher : OUP USA
ISBN 13 : 0199740445
Total Pages : 280 pages
Book Rating : 4.1/5 (997 download)

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Book Synopsis Algorithmic Puzzles by : Anany Levitin

Download or read book Algorithmic Puzzles written by Anany Levitin and published by OUP USA. This book was released on 2011-10-14 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithmic puzzles are puzzles involving well-defined procedures for solving problems. This book will provide an enjoyable and accessible introduction to algorithmic puzzles that will develop the reader's algorithmic thinking. The first part of this book is a tutorial on algorithm design strategies and analysis techniques. Algorithm design strategies — exhaustive search, backtracking, divide-and-conquer and a few others — are general approaches to designing step-by-step instructions for solving problems. Analysis techniques are methods for investigating such procedures to answer questions about the ultimate result of the procedure or how many steps are executed before the procedure stops. The discussion is an elementary level, with puzzle examples, and requires neither programming nor mathematics beyond a secondary school level. Thus, the tutorial provides a gentle and entertaining introduction to main ideas in high-level algorithmic problem solving. The second and main part of the book contains 150 puzzles, from centuries-old classics to newcomers often asked during job interviews at computing, engineering, and financial companies. The puzzles are divided into three groups by their difficulty levels. The first fifty puzzles in the Easier Puzzles section require only middle school mathematics. The sixty puzzle of average difficulty and forty harder puzzles require just high school mathematics plus a few topics such as binary numbers and simple recurrences, which are reviewed in the tutorial. All the puzzles are provided with hints, detailed solutions, and brief comments. The comments deal with the puzzle origins and design or analysis techniques used in the solution. The book should be of interest to puzzle lovers, students and teachers of algorithm courses, and persons expecting to be given puzzles during job interviews.

Computational Thinking

Author : Peter J. Denning
Publisher : MIT Press
ISBN 13 : 0262536560
Total Pages : 266 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Computational Thinking by : Peter J. Denning

Download or read book Computational Thinking written by Peter J. Denning and published by MIT Press. This book was released on 2019-05-14 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to computational thinking that traces a genealogy beginning centuries before the digital computer. A few decades into the digital era, scientists discovered that thinking in terms of computation made possible an entirely new way of organizing scientific investigation; eventually, every field had a computational branch: computational physics, computational biology, computational sociology. More recently, “computational thinking” has become part of the K–12 curriculum. But what is computational thinking? This volume in the MIT Press Essential Knowledge series offers an accessible overview, tracing a genealogy that begins centuries before digital computers and portraying computational thinking as pioneers of computing have described it. The authors explain that computational thinking (CT) is not a set of concepts for programming; it is a way of thinking that is honed through practice: the mental skills for designing computations to do jobs for us, and for explaining and interpreting the world as a complex of information processes. Mathematically trained experts (known as “computers”) who performed complex calculations as teams engaged in CT long before electronic computers. The authors identify six dimensions of today's highly developed CT—methods, machines, computing education, software engineering, computational science, and design—and cover each in a chapter. Along the way, they debunk inflated claims for CT and computation while making clear the power of CT in all its complexity and multiplicity.

Learn to Code by Solving Problems

Author : Daniel Zingaro
Publisher : No Starch Press
ISBN 13 : 1718501331
Total Pages : 392 pages
Book Rating : 4.7/5 (185 download)

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Book Synopsis Learn to Code by Solving Problems by : Daniel Zingaro

Download or read book Learn to Code by Solving Problems written by Daniel Zingaro and published by No Starch Press. This book was released on 2021-06-29 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to Code by Solving Problems is a practical introduction to programming using Python. It uses coding-competition challenges to teach you the mechanics of coding and how to think like a savvy programmer. Computers are capable of solving almost any problem when given the right instructions. That’s where programming comes in. This beginner’s book will have you writing Python programs right away. You’ll solve interesting problems drawn from real coding competitions and build your programming skills as you go. Every chapter presents problems from coding challenge websites, where online judges test your solutions and provide targeted feedback. As you practice using core Python features, functions, and techniques, you’ll develop a clear understanding of data structures, algorithms, and other programming basics. Bonus exercises invite you to explore new concepts on your own, and multiple-choice questions encourage you to think about how each piece of code works. You’ll learn how to: Run Python code, work with strings, and use variables Write programs that make decisions Make code more efficient with while and for loops Use Python sets, lists, and dictionaries to organize, sort, and search data Design programs using functions and top-down design Create complete-search algorithms and use Big O notation to design more efficient code By the end of the book, you’ll not only be proficient in Python, but you’ll also understand how to think through problems and tackle them with code. Programming languages come and go, but this book gives you the lasting foundation you need to start thinking like a programmer.

C# and Algorithmic Thinking for the Complete Beginner (2nd Edition)

Author : Aristides S. Bouras
Publisher :
ISBN 13 : 9781671594364
Total Pages : 746 pages
Book Rating : 4.5/5 (943 download)

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Book Synopsis C# and Algorithmic Thinking for the Complete Beginner (2nd Edition) by : Aristides S. Bouras

Download or read book C# and Algorithmic Thinking for the Complete Beginner (2nd Edition) written by Aristides S. Bouras and published by . This book was released on 2019-12-17 with total page 746 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thoroughly revised for the latest version of C#, this book explains basic concepts in a clear and explicit way that takes very seriously one thing for granted-that the reader knows nothing about computer programming. Addressed to anyone who has no prior programming knowledge or experience, but a desire to learn programming with C#, it teaches the first thing that every novice programmer needs to learn, which is Algorithmic Thinking. Algorithmic Thinking involves more than just learning code. It is a problem-solving process that involves learning how to code. This edition contains all the popular features of the previous edition and adds a significant number of exercises, as well as extensive revisions and updates. Apart from C# 's arrays, it now also covers dictionaries, while a brand new section provides an effective introduction to the next field that a programmer needs to work with, which is Object Oriented Programming (OOP). This book has a class course structure with questions and exercises at the end of each chapter so you can test what you have learned right away and improve your comprehension. With 250 solved and 450 unsolved exercises, 475 true/false, about 150 multiple choice, and 200 review questions and crosswords (the solutions and the answers to which can be found on the Internet), this book is ideal for novices or average programmers, for self-study high school students first-year college or university students teachers professors anyone who wants to start learning or teaching computer programming using the proper conventions and techniques

Computational Thinking: A Perspective on Computer Science

Author : Zhiwei Xu
Publisher : Springer Nature
ISBN 13 : 9811638489
Total Pages : 338 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Computational Thinking: A Perspective on Computer Science by : Zhiwei Xu

Download or read book Computational Thinking: A Perspective on Computer Science written by Zhiwei Xu and published by Springer Nature. This book was released on 2022-01-01 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational Thinking

Author : Karl Beecher
Publisher : BCS, The Chartered Institute for IT
ISBN 13 : 9781780173641
Total Pages : 306 pages
Book Rating : 4.1/5 (736 download)

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Book Synopsis Computational Thinking by : Karl Beecher

Download or read book Computational Thinking written by Karl Beecher and published by BCS, The Chartered Institute for IT. This book was released on 2017-08-11 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational thinking (CT) is a timeless, transferable skill that enables you to think more clearly and logically, as well as a way to solve specific problems. With this book you'll learn to apply computational thinking in the context of software development to give you a head start on the road to becoming an experienced and effective programmer.

Computational Thinking

Author : Paolo Ferragina
Publisher : Springer
ISBN 13 : 331997940X
Total Pages : 174 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Computational Thinking by : Paolo Ferragina

Download or read book Computational Thinking written by Paolo Ferragina and published by Springer. This book was released on 2018-08-21 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a gentle motivation and introduction to computational thinking, in particular to algorithms and how they can be coded to solve significant, topical problems from domains such as finance, cryptography, Web search, and data compression. The book is suitable for undergraduate students in computer science, engineering, and applied mathematics, university students in other fields, high-school students with an interest in STEM subjects, and professionals who want an insight into algorithmic solutions and the related mindset. While the authors assume only basic mathematical knowledge, they uphold the scientific rigor that is indispensable for transforming general ideas into executable algorithms. A supporting website contains examples and Python code for implementing the algorithms in the book.

Informatics Education - The Bridge Between Using and Understanding Computers

Author : Roland Mittermeir
Publisher : Springer Science & Business Media
ISBN 13 : 3540482180
Total Pages : 334 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Informatics Education - The Bridge Between Using and Understanding Computers by : Roland Mittermeir

Download or read book Informatics Education - The Bridge Between Using and Understanding Computers written by Roland Mittermeir and published by Springer Science & Business Media. This book was released on 2006-10-30 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the International Conference on Informatics in Secondary Schools - Evolution and Perspectives, ISSEP 2006, held in Vilnius, Lithuania in November 2006. The 29 revised full papers presented were carefully reviewed and selected from 204 submissions. A broad variety of topics related to teaching informatics in secondary schools is addressed.

How to Think About Algorithms

Author : Jeff Edmonds
Publisher : Cambridge University Press
ISBN 13 : 1139471759
Total Pages : 409 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis How to Think About Algorithms by : Jeff Edmonds

Download or read book How to Think About Algorithms written by Jeff Edmonds and published by Cambridge University Press. This book was released on 2008-05-19 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook, for second- or third-year students of computer science, presents insights, notations, and analogies to help them describe and think about algorithms like an expert, without grinding through lots of formal proof. Solutions to many problems are provided to let students check their progress, while class-tested PowerPoint slides are on the web for anyone running the course. By looking at both the big picture and easy step-by-step methods for developing algorithms, the author guides students around the common pitfalls. He stresses paradigms such as loop invariants and recursion to unify a huge range of algorithms into a few meta-algorithms. The book fosters a deeper understanding of how and why each algorithm works. These insights are presented in a careful and clear way, helping students to think abstractly and preparing them for creating their own innovative ways to solve problems.

Computational Thinking Education in K-12

Author : Siu-Cheung Kong
Publisher : MIT Press
ISBN 13 : 0262543478
Total Pages : 285 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Computational Thinking Education in K-12 by : Siu-Cheung Kong

Download or read book Computational Thinking Education in K-12 written by Siu-Cheung Kong and published by MIT Press. This book was released on 2022-05-03 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to computational thinking education, with a focus on artificial intelligence literacy and the integration of computing and physical objects. Computing has become an essential part of today’s primary and secondary school curricula. In recent years, K–12 computer education has shifted from computer science itself to the broader perspective of computational thinking (CT), which is less about technology than a way of thinking and solving problems—“a fundamental skill for everyone, not just computer scientists,” in the words of Jeanette Wing, author of a foundational article on CT. This volume introduces a variety of approaches to CT in K–12 education, offering a wide range of international perspectives that focus on artificial intelligence (AI) literacy and the integration of computing and physical objects. The book first offers an overview of CT and its importance in K–12 education, covering such topics as the rationale for teaching CT; programming as a general problem-solving skill; and the “phenomenon-based learning” approach. It then addresses the educational implications of the explosion in AI research, discussing, among other things, the importance of teaching children to be conscientious designers and consumers of AI. Finally, the book examines the increasing influence of physical devices in CT education, considering the learning opportunities offered by robotics. Contributors Harold Abelson, Cynthia Breazeal, Karen Brennan, Michael E. Caspersen, Christian Dindler, Daniella DiPaola, Nardie Fanchamps, Christina Gardner-McCune, Mark Guzdial, Kai Hakkarainen, Fredrik Heintz, Paul Hennissen, H. Ulrich Hoppe, Ole Sejer Iversen, Siu-Cheung Kong, Wai-Ying Kwok, Sven Manske, Jesús Moreno-León, Blakeley H. Payne, Sini Riikonen, Gregorio Robles, Marcos Román-González, Pirita Seitamaa-Hakkarainen, Ju-Ling Shih, Pasi Silander, Lou Slangen, Rachel Charlotte Smith, Marcus Specht, Florence R. Sullivan, David S. Touretzky

Research Anthology on Computational Thinking, Programming, and Robotics in the Classroom

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1668424126
Total Pages : 969 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Research Anthology on Computational Thinking, Programming, and Robotics in the Classroom by : Management Association, Information Resources

Download or read book Research Anthology on Computational Thinking, Programming, and Robotics in the Classroom written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-07-16 with total page 969 pages. Available in PDF, EPUB and Kindle. Book excerpt: The education system is constantly growing and developing as more ways to teach and learn are implemented into the classroom. Recently, there has been a growing interest in teaching computational thinking with schools all over the world introducing it to the curriculum due to its ability to allow students to become proficient at problem solving using logic, an essential life skill. In order to provide the best education possible, it is imperative that computational thinking strategies, along with programming skills and the use of robotics in the classroom, be implemented in order for students to achieve maximum thought processing skills and computer competencies. The Research Anthology on Computational Thinking, Programming, and Robotics in the Classroom is an all-encompassing reference book that discusses how computational thinking, programming, and robotics can be used in education as well as the benefits and difficulties of implementing these elements into the classroom. The book includes strategies for preparing educators to teach computational thinking in the classroom as well as design techniques for incorporating these practices into various levels of school curriculum and within a variety of subjects. Covering topics ranging from decomposition to robot learning, this book is ideal for educators, computer scientists, administrators, academicians, students, and anyone interested in learning more about how computational thinking, programming, and robotics can change the current education system.

The Power of Computational Thinking

Author : Paul Curzon
Publisher : Wspc (Europe)
ISBN 13 :
Total Pages : 240 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis The Power of Computational Thinking by : Paul Curzon

Download or read book The Power of Computational Thinking written by Paul Curzon and published by Wspc (Europe). This book was released on 2017 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The power of computational thinking shows that learning to think can be fascinating fun. Can you become a computational thinker? Can machines have brains? Do computers really see and understand the world? Can games help us to study nature, save lives and design the future? Can you use computational thinking in your everyday activities? Yes, and this book show you how."--Back cover.

Computational Thinking Education

Author : Siu-Cheung Kong
Publisher : Springer
ISBN 13 : 9811365288
Total Pages : 377 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Computational Thinking Education by : Siu-Cheung Kong

Download or read book Computational Thinking Education written by Siu-Cheung Kong and published by Springer. This book was released on 2019-07-04 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: This This book is open access under a CC BY 4.0 license.This book offers a comprehensive guide, covering every important aspect of computational thinking education. It provides an in-depth discussion of computational thinking, including the notion of perceiving computational thinking practices as ways of mapping models from the abstraction of data and process structures to natural phenomena. Further, it explores how computational thinking education is implemented in different regions, and how computational thinking is being integrated into subject learning in K-12 education. In closing, it discusses computational thinking from the perspective of STEM education, the use of video games to teach computational thinking, and how computational thinking is helping to transform the quality of the workforce in the textile and apparel industry.

Applied Computational Thinking with Python

Author : Sofía De Jesús
Publisher : Packt Publishing Ltd
ISBN 13 : 183921676X
Total Pages : 420 pages
Book Rating : 4.8/5 (392 download)

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Book Synopsis Applied Computational Thinking with Python by : Sofía De Jesús

Download or read book Applied Computational Thinking with Python written by Sofía De Jesús and published by Packt Publishing Ltd. This book was released on 2020-11-27 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use the computational thinking philosophy to solve complex problems by designing appropriate algorithms to produce optimal results across various domains Key FeaturesDevelop logical reasoning and problem-solving skills that will help you tackle complex problemsExplore core computer science concepts and important computational thinking elements using practical examplesFind out how to identify the best-suited algorithmic solution for your problemBook Description Computational thinking helps you to develop logical processing and algorithmic thinking while solving real-world problems across a wide range of domains. It's an essential skill that you should possess to keep ahead of the curve in this modern era of information technology. Developers can apply their knowledge of computational thinking to solve problems in multiple areas, including economics, mathematics, and artificial intelligence. This book begins by helping you get to grips with decomposition, pattern recognition, pattern generalization and abstraction, and algorithm design, along with teaching you how to apply these elements practically while designing solutions for challenging problems. You’ll then learn about various techniques involved in problem analysis, logical reasoning, algorithm design, clusters and classification, data analysis, and modeling, and understand how computational thinking elements can be used together with these aspects to design solutions. Toward the end, you will discover how to identify pitfalls in the solution design process and how to choose the right functionalities to create the best possible algorithmic solutions. By the end of this algorithm book, you will have gained the confidence to successfully apply computational thinking techniques to software development. What you will learnFind out how to use decomposition to solve problems through visual representationEmploy pattern generalization and abstraction to design solutionsBuild analytical skills required to assess algorithmic solutionsUse computational thinking with Python for statistical analysisUnderstand the input and output needs for designing algorithmic solutionsUse computational thinking to solve data processing problemsIdentify errors in logical processing to refine your solution designApply computational thinking in various domains, such as cryptography, economics, and machine learningWho this book is for This book is for students, developers, and professionals looking to develop problem-solving skills and tactics involved in writing or debugging software programs and applications. Familiarity with Python programming is required.