Algorithmic Thinking

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Algorithmic Thinking

Daniel Zingaro
Algorithmic Thinking Book PDF

Author : Daniel Zingaro
Publisher : No Starch Press
Page : 409 pages
File Size : 40,5 Mb
Release : 2020-12-15
Category : Computers
ISBN : 9781718500815

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Algorithmic Thinking by Daniel Zingaro Pdf

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

Daniel Zingaro
Algorithmic Thinking Book PDF

Author : Daniel Zingaro
Publisher : No Starch Press
Page : 409 pages
File Size : 42,5 Mb
Release : 2020-12-15
Category : Computers
ISBN : 9781718500808

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Algorithmic Thinking by Daniel Zingaro Pdf

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?

Computational Thinking

Peter J. Denning,Matti Tedre
Computational Thinking Book PDF

Author : Peter J. Denning,Matti Tedre
Publisher : MIT Press
Page : 266 pages
File Size : 52,6 Mb
Release : 2019-05-14
Category : Computers
ISBN : 9780262536561

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Computational Thinking by Peter J. Denning,Matti Tedre Pdf

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.

Python and Algorithmic Thinking for the Complete Beginner

Aristides Bouras
Python and Algorithmic Thinking for the Complete Beginner Book PDF

Author : Aristides Bouras
Publisher : Packt Publishing Ltd
Page : 908 pages
File Size : 42,6 Mb
Release : 2024-06-14
Category : Computers
ISBN : 9781836209263

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Python and Algorithmic Thinking for the Complete Beginner by Aristides Bouras Pdf

Unlock the power of Python with this comprehensive guide, “Python and Algorithmic Thinking for the Complete Beginner.” It covers everything from computer basics to advanced decision and loop control structures. Key Features Comprehensive coverage from basic computer operations to advanced programming concepts Step-by-step progression of each topic, along with tips and tricks to enhance coding efficiency In-depth exploration of Python and algorithmic thinking with exercises and practical examples Book DescriptionThis course is meticulously designed to take beginners on a journey through the fascinating world of Python programming and algorithmic thinking. The initial chapters lay a strong foundation, starting with the basics of how computers operate, moving into Python programming, and familiarizing learners with integrated development environments like IDLE and Visual Studio Code. Further, the course delves into essential programming constructs such as variables, constants, input/output handling, and operators. You'll gain practical experience with trace tables, sequence control structures, and decision control structures through comprehensive exercises and examples. The curriculum emphasizes hands-on learning with chapters dedicated to manipulating numbers, strings, and understanding complex mathematical expressions. By mastering these concepts, you'll be well-prepared to tackle more advanced topics. The final chapters introduce you to object-oriented programming and file manipulation, rounding out your skill set. Throughout the course, practical tips and tricks are provided to enhance your coding efficiency and problem-solving skills. By the end of this course, you will have a robust understanding of Python programming and the ability to apply algorithmic thinking to solve real-world problems.What you will learn Understand how computers work and the basics of Python programming Install and use integrated development environments (IDEs) Develop skills in decision and loop control structures Manipulate data using lists, dictionaries, and strings Apply algorithmic thinking to solve complex problems Gain proficiency in object-oriented programming & file manipulation Who this book is for This course is ideal for absolute beginners with no prior programming experience. Basic computer literacy is required, but no specific knowledge of programming or algorithms is necessary. It is also suitable for individuals looking to refresh their Python skills and enhance their understanding of algorithmic thinking. High school and college students interested in programming, professionals seeking to upskill, and hobbyists eager to learn a new programming language will all find value in this course.

Computational Thinking

Paolo Ferragina,Fabrizio Luccio
Computational Thinking Book PDF

Author : Paolo Ferragina,Fabrizio Luccio
Publisher : Springer
Page : 174 pages
File Size : 53,5 Mb
Release : 2018-08-21
Category : Computers
ISBN : 9783319979403

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Computational Thinking by Paolo Ferragina,Fabrizio Luccio Pdf

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.

Algorithmic Puzzles

Anany Levitin,Maria Levitin
Algorithmic Puzzles Book PDF

Author : Anany Levitin,Maria Levitin
Publisher : OUP USA
Page : 280 pages
File Size : 41,9 Mb
Release : 2011-10-14
Category : Computers
ISBN : 9780199740444

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Algorithmic Puzzles by Anany Levitin,Maria Levitin Pdf

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

Karl Beecher
Computational Thinking Book PDF

Author : Karl Beecher
Publisher : BCS, The Chartered Institute for IT
Page : 306 pages
File Size : 53,7 Mb
Release : 2017-08-11
Category : Computational intelligence
ISBN : 1780173644

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Computational Thinking by Karl Beecher Pdf

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.

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

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

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 969 pages
File Size : 49,7 Mb
Release : 2021-07-16
Category : Education
ISBN : 9781668424124

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

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.

Learn to Code by Solving Problems

Daniel Zingaro
Learn to Code by Solving Problems Book PDF

Author : Daniel Zingaro
Publisher : No Starch Press
Page : 392 pages
File Size : 46,7 Mb
Release : 2021-06-29
Category : Computers
ISBN : 9781718501331

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Learn to Code by Solving Problems by Daniel Zingaro Pdf

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.

Computational Thinking: A Perspective on Computer Science

Zhiwei Xu,Jialin Zhang
Computational Thinking A Perspective on Computer Science Book PDF

Author : Zhiwei Xu,Jialin Zhang
Publisher : Springer Nature
Page : 338 pages
File Size : 43,7 Mb
Release : 2022-01-01
Category : Computers
ISBN : 9789811638480

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Computational Thinking: A Perspective on Computer Science by Zhiwei Xu,Jialin Zhang Pdf

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.

Teaching Computational Thinking

Maureen D. Neumann,Lisa Dion
Teaching Computational Thinking Book PDF

Author : Maureen D. Neumann,Lisa Dion
Publisher : MIT Press
Page : 201 pages
File Size : 54,6 Mb
Release : 2021-12-21
Category : Computers
ISBN : 9780262045056

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Teaching Computational Thinking by Maureen D. Neumann,Lisa Dion Pdf

A guide for educators to incorporate computational thinking—a set of cognitive skills applied to problem solving—into a broad range of subjects. Computational thinking—a set of mental and cognitive tools applied to problem solving—is a fundamental skill that all of us (and not just computer scientists) draw on. Educators have found that computational thinking enhances learning across a range of subjects and reinforces students’ abilities in reading, writing, and arithmetic. This book offers a guide for incorporating computational thinking into middle school and high school classrooms, presenting a series of activities, projects, and tasks that employ a range of pedagogical practices and cross a variety of content areas. As students problem solve, communicate, persevere, work as a team, and learn from mistakes, they develop a concrete understanding of the abstract principles used in computer science to create code and other digital artifacts. The book guides students and teachers to integrate computer programming with visual art and geometry, generating abstract expressionist–style images; construct topological graphs that represent the relationships between characters in such literary works as Harry Potter and the Sorcerer’s Stone and Romeo and Juliet; apply Newtonian physics to the creation of computer games; and locate, analyze, and present empirical data relevant to social and political issues. Finally, the book lists a variety of classroom resources, including the programming languages Scratch (free to all) and Codesters (free to teachers). An accompanying website contains the executable programs used in the book’s activities.

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

Aristides S. Bouras
C and Algorithmic Thinking for the Complete Beginner 2nd Edition Book PDF

Author : Aristides S. Bouras
Publisher : Unknown
Page : 746 pages
File Size : 55,6 Mb
Release : 2019-12-17
Category : Electronic
ISBN : 1671594363

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

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

Handbook of Research on Tools for Teaching Computational Thinking in P-12 Education

Kalogiannakis, Michail,Papadakis, Stamatios
Handbook of Research on Tools for Teaching Computational Thinking in P 12 Education Book PDF

Author : Kalogiannakis, Michail,Papadakis, Stamatios
Publisher : IGI Global
Page : 568 pages
File Size : 44,8 Mb
Release : 2020-06-26
Category : Education
ISBN : 9781799845775

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Handbook of Research on Tools for Teaching Computational Thinking in P-12 Education by Kalogiannakis, Michail,Papadakis, Stamatios Pdf

While the growth of computational thinking has brought new awareness to the importance of computing education, it has also created new challenges. Many educational initiatives focus solely on the programming aspects, such as variables, loops, conditionals, parallelism, operators, and data handling, divorcing computing from real-world contexts and applications. This decontextualization threatens to make learners believe that they do not need to learn computing, as they cannot envision a future in which they will need to use it, just as many see math and physics education as unnecessary. The Handbook of Research on Tools for Teaching Computational Thinking in P-12 Education is a cutting-edge research publication that examines the implementation of computational thinking into school curriculum in order to develop creative problem-solving skills and to build a computational identity which will allow for future STEM growth. Moreover, the book advocates for a new approach to computing education that argues that while learning about computing, young people should also have opportunities to create with computing, which will have a direct impact on their lives and their communities. Featuring a wide range of topics such as assessment, digital teaching, and educational robotics, this book is ideal for academicians, instructional designers, teachers, education professionals, administrators, researchers, and students.

Computational Thinking Education

Siu-Cheung Kong,Harold Abelson
Computational Thinking Education Book PDF

Author : Siu-Cheung Kong,Harold Abelson
Publisher : Springer
Page : 377 pages
File Size : 44,8 Mb
Release : 2019-07-04
Category : Education
ISBN : 9789811365287

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Computational Thinking Education by Siu-Cheung Kong,Harold Abelson Pdf

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.

The Tensions of Algorithmic Thinking

David Beer
The Tensions of Algorithmic Thinking Book PDF

Author : David Beer
Publisher : Policy Press
Page : 152 pages
File Size : 54,9 Mb
Release : 2024-02-13
Category : Computers
ISBN : 9781529212907

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The Tensions of Algorithmic Thinking by David Beer Pdf

In this pioneering book, David Beer redefines emergent algorithmic technologies as the new systems of knowing. He examines the acute tensions they create and how they are changing what is known and what is knowable.