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Author: Teodor Rus
Publisher: World Scientific
ISBN: 9814663751
Category : Computers
Languages : en
Pages : 367
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Book Description
One side-effect of having made great leaps in computing over the last few decades, is the resulting over-abundance in software tools created to solve the diverse problems. Problem solving with computers has, in consequence, become more demanding; instead of focusing on the problem when conceptualizing strategies to solve them, users are side-tracked by the pursuit of even more programming tools (as available).Computer-Based Problem Solving Process is a work intended to offer a systematic treatment to the theory and practice of designing, implementing, and using software tools during the problem solving process. This method is obtained by enabling computer systems to be more Intuitive with human logic rather than machine logic. Instead of software dedicated to computer experts, the author advocates an approach dedicated to computer users in general. This approach does not require users to have an advanced computer education, though it does advocate a deeper education of the computer user in his or her problem domain logic.This book is intended for system software teachers, designers and implementers of various aspects of system software, as well as readers who have made computers a part of their day-today problem solving.
Author: Teodor Rus
Publisher: World Scientific
ISBN: 9814663751
Category : Computers
Languages : en
Pages : 367
Get Book Here
Book Description
One side-effect of having made great leaps in computing over the last few decades, is the resulting over-abundance in software tools created to solve the diverse problems. Problem solving with computers has, in consequence, become more demanding; instead of focusing on the problem when conceptualizing strategies to solve them, users are side-tracked by the pursuit of even more programming tools (as available).Computer-Based Problem Solving Process is a work intended to offer a systematic treatment to the theory and practice of designing, implementing, and using software tools during the problem solving process. This method is obtained by enabling computer systems to be more Intuitive with human logic rather than machine logic. Instead of software dedicated to computer experts, the author advocates an approach dedicated to computer users in general. This approach does not require users to have an advanced computer education, though it does advocate a deeper education of the computer user in his or her problem domain logic.This book is intended for system software teachers, designers and implementers of various aspects of system software, as well as readers who have made computers a part of their day-today problem solving.
Author: Paul Calter
Publisher: McGraw-Hill Companies
ISBN:
Category : Mathematics
Languages : en
Pages : 212
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Book Description
Author: Greg W. Scragg
Publisher: Jones & Bartlett Learning
ISBN: 9780867204957
Category : Computers
Languages : en
Pages : 518
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Book Description
An introduction to computer science focusing on the methods of problem solving, rather than on the hardware or software tools employed as aids for problem solving. Coverage includes algorithms, hypermedia, and telecomputing. Includes definitions and exercises throughout chapters, and uses feminine p
Author: Jeeva Jose
Publisher: KHANNA PUBLISHING
ISBN: 9382609814
Category : Computers
Languages : en
Pages : 298
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Book Description
This book 'Introduction to Computing and Problem Solving with Python' will help every student,teacher and researcher to understand the computing basics and advanced PythonProgramming language. The Python programming topics include the reserved keywords,identifiers, variables, operators, data types and their operations, flowcontrol techniques which include decision making and looping, modules, filesand exception handling techniques. Advanced topics like Python regularexpressions, Database Programming and Object Oriented Programming concepts arealso covered in detail. All chapters have worked out programs, illustrations,review and frequently asked interview questions. The simple style of presentationmakes this a friend for self-learners. More than 300 solved lab exercisesavailable in this book is tested in Python 3.4.3 version for Windows. The book covers syllabus for more than 35 International Universities and45 Indian universities like Dr. APJ Abdul Kalam Technological University,Christ University, Savitribai Phule Pune University, University of Delhi, University of Calicut, Mahatma Gandhi University, University of Mumbai, AICTE, CBSE, MIT, University of Virginia, University of Chicago, University of Toronto, Technical University of Denmark etc.
Author: W Michael Reed
Publisher: CRC Press
ISBN: 9780866567817
Category : Business & Economics
Languages : en
Pages : 236
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Book Description
Professionals who are on the cutting edge of educational computing discuss, in this provocative new book, one of the most exciting prospects of the field--harnessing the power of the computer to enhance the development of problem-solving abilities. Here is everything that educators will need to know to use computers to improve higher level skills such as problem solving and critical thinking. Current aspects of problem-solving theory, a philosophical case for including programming languages in the curriculum, state-of-the-art research on computers and problem solving, and a look at problem-solving software are included in this comprehensive volume. The research and its application to instruction are grounded in problem-solving theory--making this book a unique and critical addition to the existing literature.
Author: Dromey
Publisher: Pearson Education India
ISBN: 9788131705629
Category : Computer programmes
Languages : en
Pages : 468
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Book Description
Author: David Kopec
Publisher: Simon and Schuster
ISBN: 1638355231
Category : Computers
Languages : en
Pages : 331
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Book Description
"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
Author:
Publisher: Allied Publishers
ISBN:
Category :
Languages : en
Pages : 328
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Book Description
Author: Roland Backhouse
Publisher: John Wiley & Sons
ISBN: 0470684534
Category : Computers
Languages : en
Pages : 434
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Book Description
An entertaining and captivating way to learn the fundamentals of using algorithms to solve problems The algorithmic approach to solving problems in computer technology is an essential tool. With this unique book, algorithm guru Roland Backhouse shares his four decades of experience to teach the fundamental principles of using algorithms to solve problems. Using fun and well-known puzzles to gradually introduce different aspects of algorithms in mathematics and computing. Backhouse presents you with a readable, entertaining, and energetic book that will motivate and challenge you to open your mind to the algorithmic nature of problem solving. Provides a novel approach to the mathematics of problem solving focusing on the algorithmic nature of problem solving Uses popular and entertaining puzzles to teach you different aspects of using algorithms to solve mathematical and computing challenges Features a theory section that supports each of the puzzles presented throughout the book Assumes only an elementary understanding of mathematics Let Roland Backhouse and his four decades of experience show you how you can solve challenging problems with algorithms!
Author: David a Freitag
Publisher:
ISBN: 9781693417665
Category :
Languages : en
Pages : 196
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Book Description
Warning: This is not a normal textbook. This textbook introduces the first-semester student to computer science and what they need to know to solve problems and code solutions. Nothing extra. It demonstrates how to solve computational problems by focusing on organizing thoughts, performing structured thinking, following standard problem solving techniques, and paying attention to the details. The student will learn to generalize patterns and algorithms in solving a variety of problems using computational thinking. Everyone should have the opportunity to learn computational thinking and how to solve computational problems by focusing on organizing their thoughts, performing structured thinking, following known problem-solving techniques, and paying attention to the details. All students should have the opportunity to learn to generalize patterns and algorithms to solve a variety of computational problems using computational thinking techniques. To facilitate that goal, this textbook demonstrates how to think about a problem before writing one line of code. By following the patterns and examples, students will be able to write decent code almost immediately after finishing this book.
