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| problem solving and programming: Problem Solving 101 Ken Watanabe, 2009-03-05 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. |
| problem solving and programming: Think Like a Programmer V. Anton Spraul, 2012-08-12 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. |
| problem solving and programming: Learn to Code by Solving Problems Daniel Zingaro, 2021-06-29 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. |
| problem solving and programming: Programming and Problem Solving with Java Nell B. Dale, Chip Weems, 2008 Extensively revised, the new Second Edition of Programming and Problem Solving with Java continues to be the most student-friendly text available. The authors carefully broke the text into smaller, more manageable pieces by reorganizing chapters, allowing student to focus more sharply on the important information at hand. Using Dale and Weems' highly effective progressive objects approach, students begin with very simple yet useful class design in parallel with the introduction of Java's basic data types, arithmetic operations, control structures, and file I/O. Students see first hand how the library of objects steadily grows larger, enabling ever more sophisticated applications to be developed through reuse. Later chapters focus on inheritance and polymorphism, using the firm foundation that has been established by steadily developing numerous classes in the early part of the text. A new chapter on Data Structures and Collections has been added making the text ideal for a one or two-semester course. With its numerous new case studies, end-of-chapter material, and clear descriptive examples, the Second Edition is an exceptional text for discovering Java as a first programming language! |
| problem solving and programming: Problem Solving & Programming Concepts Maureen Sprankle, Jim Hubbard, 2014-09-18 A core or supplementary text for one-semester, freshman/sophomore-level introductory courses taken by programming majors in Problem Solving for Programmers, Problem Solving for Applications, any Computer Language Course, or Introduction to Programming. Revised to reflect the most current issues in the programming industry, this widely adopted text emphasizes that problem solving is the same in all computer languages, regardless of syntax. Sprankle and Hubbard use a generic, non-language-specific approach to present the tools and concepts required when using any programming language to develop computer applications. Designed for students with little or no computer experience — but useful to programmers at any level — the text provides step-by-step progression and consistent in-depth coverage of topics, with detailed explanations and many illustrations. Instructor Supplements (see resources tab): Instructor Manual with Solutions and Test Bank Lecture Power Point Slides Go to: www.pearsoninternationaleditions.com/sprankle |
| problem solving and programming: Python Workout Reuven M. Lerner, 2020-08-04 The only way to master a skill is to practice. In Python Workout, author Reuven M. Lerner guides you through 50 carefully selected exercises that invite you to flex your programming muscles. As you take on each new challenge, you’ll build programming skill and confidence. Summary The only way to master a skill is to practice. In Python Workout, author Reuven M. Lerner guides you through 50 carefully selected exercises that invite you to flex your programming muscles. As you take on each new challenge, you’ll build programming skill and confidence. The thorough explanations help you lock in what you’ve learned and apply it to your own projects. Along the way, Python Workout provides over four hours of video instruction walking you through the solutions to each exercise and dozens of additional exercises for you to try on your own. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology To become a champion Python programmer you need to work out, building mental muscle with your hands on the keyboard. Each carefully selected exercise in this unique book adds to your Python prowess—one important skill at a time. About the book Python Workout presents 50 exercises that focus on key Python 3 features. In it, expert Python coach Reuven Lerner guides you through a series of small projects, practicing the skills you need to tackle everyday tasks. You’ll appreciate the clear explanations of each technique, and you can watch Reuven solve each exercise in the accompanying videos. What's inside 50 hands-on exercises and solutions Coverage of all Python data types Dozens more bonus exercises for extra practice About the reader For readers with basic Python knowledge. About the author Reuven M. Lerner teaches Python and data science to companies around the world. Table of Contents 1 Numeric types 2 Strings 3 Lists and tuples 4 Dictionaries and sets 5 Files 6 Functions 7 Functional programming with comprehensions 8 Modules and packages 9 Objects 10 Iterators and generators |
| problem solving and programming: Programming and Problem Solving with ADA 95 Nell B. Dale, Chip Weems, John W. McCormick, 2000 Programming and Problem Solving with Ada 95 provides a solid introduction to programming while introducing the capabilities of Ada 95 and its syntax without overwhelming the student. The book focuses on the development of good programming habits. This text offers superior pedagogy that has long defined computer science education, including problem solving case studies, testing and debugging sections, quick checks, exam preparation, programming warm-up exercises, and programming problems. The extensive coverage of material in such a student-friendly resource means that more rigor, more theory, greater use of abstraction and modeling, and the earlier application of software engineering principles can be employed. |
| problem solving and programming: Problem Solving and Programming Concepts Maureen Sprankle, Jim Hubbard, 2009 A core or supplementary text for one-semester, freshman/sophomore-level introductory courses taken by programming majors in Problem Solving for Programmers, Problem Solving for Applications, any Computer Language Course, or Introduction to Programming. Revised to reflect the most current issues in the programming industry, this widely adopted text emphasizes that problem solving is the same in all computer languages, regardless of syntax. Sprankle and Hubbard use a generic, non-language-specific approach to present the tools and concepts required when using any programming language to develop computer applications. Designed for students with little or no computer experience but useful to programmers at any level the text provides step-by-step progression and consistent in-depth coverage of topics, with detailed explanations and many illustrations. Instructor Supplements (see resources tab): Instructor Manual with Solutions and Test Bank Lecture Power Point Slides Go to: www.prenhall.com/sprankle |
| problem solving and programming: Programming and Problem Solving with Visual Basic .NET Nell B. Dale, 2003 This book continues to reflect our experience that topics once considered too advanced can be taught in the first course. The text addresses metalanguages explicitly as the formal means of specifying programming language syntax. |
| problem solving and programming: Java Walter Savitch, 2014-03-03 Note: You are purchasing a standalone product; MyProgrammingLab does not come packaged with this content. If you would like to purchase both the physical text and MyProgrammingLab search for ISBN-10: 0133862119/ISBN-13: 9780133862119. That package includes ISBN-10: 0133766268/ISBN-13: 9780133766264 and ISBN-10: 0133841030 /ISBN-13: 9780133841039. MyProgrammingLab is not a self-paced technology and should only be purchased when required by an instructor. Java: An Introduction to Problem Solving and Programming, 7e, is ideal for introductory Computer Science courses using Java, and other introductory programming courses in departments of Computer Science, Computer Engineering, CIS, MIS, IT, and Business. It also serves as a useful Java fundamentals reference for programmers. Students are introduced to object-oriented programming and important concepts such as design, testing and debugging, programming style, interfaces inheritance, and exception handling. The Java coverage is a concise, accessible introduction that covers key language features. Objects are covered thoroughly and early in the text, with an emphasis on application programs over applets. MyProgrammingLab for Java is a total learning package. MyProgrammingLab is an online homework, tutorial, and assessment program that truly engages students in learning. It helps students better prepare for class, quizzes, and exams–resulting in better performance in the course–and provides educators a dynamic set of tools for gauging individual and class progress. Teaching and Learning Experience This program presents a better teaching and learning experience—for you and your students. Personalized Learning with MyProgrammingLab: Through the power of practice and immediate personalized feedback, MyProgrammingLab helps students fully grasp the logic, semantics, and syntax of programming. A Concise, Accessible Introduction to Java: Key Java language features are covered in an accessible manner that resonates with introductory programmers. Tried-and-true Pedagogy: Numerous case studies, programming examples, and programming tips are used to help teach problem-solving and programming techniques. Flexible Coverage that Fits your Course: Flexibility charts and optional graphics sections allow instructors to order chapters and sections based on their course needs. Instructor and Student Resources that Enhance Learning: Resources are available to expand on the topics presented in the text. |
| problem solving and programming: Matlab Dorothy C. Attaway, 2013-06-03 MatLab, Third Edition is the only book that gives a full introduction to programming in MATLAB combined with an explanation of the software's powerful functions, enabling engineers to fully exploit its extensive capabilities in solving engineering problems. The book provides a systematic, step-by-step approach, building on concepts throughout the text, facilitating easier learning. Sections on common pitfalls and programming guidelines direct students towards best practice. The book is organized into 14 chapters, starting with programming concepts such as variables, assignments, input/output, and selection statements; moves onto loops; and then solves problems using both the 'programming concept' and the 'power of MATLAB' side-by-side. In-depth coverage is given to input/output, a topic that is fundamental to many engineering applications. Vectorized Code has been made into its own chapter, in order to emphasize the importance of using MATLAB efficiently. There are also expanded examples on low-level file input functions, Graphical User Interfaces, and use of MATLAB Version R2012b; modified and new end-of-chapter exercises; improved labeling of plots; and improved standards for variable names and documentation. This book will be a valuable resource for engineers learning to program and model in MATLAB, as well as for undergraduates in engineering and science taking a course that uses (or recommends) MATLAB. - Presents programming concepts and MATLAB built-in functions side-by-side - Systematic, step-by-step approach, building on concepts throughout the book, facilitating easier learning - Sections on common pitfalls and programming guidelines direct students towards best practice |
| problem solving and programming: Programming Languages for Business Problem Solving Shouhong Wang, Hai Wang, 2007-11-08 It has become crucial for managers to be computer literate in today's business environment. It is also important that those entering the field acquire the fundamental theories of information systems, the essential practical skills in computer applications, and the desire for life-long learning in information technology. Programming Languages |
| problem solving and programming: Algorithmic Problem Solving Roland Backhouse, 2011-10-24 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 expert 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 a readable, entertaining, and energetic book that will motivate and challenge students to open their minds 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 |
| problem solving and programming: Programming and Problem Solving with Delphi Mitchell C. Kerman, 2002 @CATEGORY = Programming Languages (CC00)@TITLE = Programming and Problem Solving with Delphi@AUTHOR = Mitchell C. KermanProgramming and Problem Solving with Delphi teaches beginners how to program using Delphi, and assumes no prior programming experience. Throughout, it emphasizes sound problem solving and programming skills, and is designed with numerous screen shots to demonstrate this visual language. The book includes a CD-ROM of Delphi 5 so readers have access to the latest features of the language. Delphi is an object Pascal-based language that is widely used in the corporate sector. As a point of comparison, Delphi is a similar language to Visual Basic yet is more robust.This book covers Windows-based programming concepts such as OLE, DDE and ActiveX components. It provides a full chapter on debugging, and includes numerous appendices on the user interface, debugging, Delphi error codes, and more, also making this an excellent language reference.This is the first book designed to teach Delphi programming to those without any programming experience.@ISBN = 0-201-70844-2@MAINCAT = Programming Languages@DATALINE1 = 2002, 560 pages, 8 3/8 x 10 7/8@DATALINE2 = Paper, $45.75k |
| problem solving and programming: Classic Computer Science Problems in Java David Kopec, 2020-12-21 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 |
| problem solving and programming: Programming and Problem Solving David a Freitag, 2019-08 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. |
| problem solving and programming: Nine Algorithms That Changed the Future John MacCormick, 2020-09-15 Nine revolutionary algorithms that power our computers and smartphones Every day, we use our computers to perform remarkable feats. A simple web search picks out a handful of relevant needles from the world's biggest haystack. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers, and we use digital signatures to verify the identity of the websites we visit. How do our computers perform these tasks with such ease? John MacCormick answers this question in language anyone can understand, using vivid examples to explain the fundamental tricks behind nine computer algorithms that power our PCs, tablets, and smartphones. |
| problem solving and programming: Computational Thinking Karl Beecher, 2017-08-11 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. |
| problem solving and programming: PROBLEM SOLVING WITH C SOMASHEKARA, M. T., GURU, D. S., MANJUNATHA, K. S., 2018-01-01 This self-readable and student-friendly text provides a strong programming foundation to solve problems with C language through its well-supported structured programming methodology, rich set of operators and data types. It is designed to help students build efficient and compact programs. The book, now in its second edition, is an extended version of Dr. M.T. Somashekara's previous book titled as Programming in C. In addition to two newly introduced chapters on 'Graphics using C' and 'Searching and Sorting', all other chapters of the previous edition have been thoroughly revised and updated. The usage of pseudocodes as a problem-solving tool has been explored throughout the book before providing C programming solutions for the problems, wherever necessary. This book comes with an increased number of examples, programs, review questions, programming exercises and interview questions in each chapter. Appendices, glossary, MCQs with answers and solutions to interview questions are given at the end of the book. The book is eminently suitable for students of Computer Science, Computer Applications, and Information Technology at both undergraduate and postgraduate levels. Assuming no previous knowledge of programming techniques, this book is appropriate for all those students who wish to master the C language as a problem-solving tool for application in their respective disciplines. It even caters to the needs of beginners in computer programming. KEY FEATURES • Introduction to problem-solving tools like algorithms, flow charts and pseudocodes • Systematic approach to teaching C with simple explanation of each concept • Expanded coverage of arrays, structures, pointers and files • Complete explanation of working of each program with emphasis on the core segment of the program, supported by a large number of solved programs and programming exercises in each chapter NEW TO THE SECOND EDITION • Points-wise summary at the end of each chapter • MCQs with Answers • Interview Questions with Solutions • Pseudocodes for all the problems solved using programs • Two new chapters on 'Graphics using C' and 'Searching and Sorting’ • Additional review questions and programming exercises |
| problem solving and programming: Programming for the Puzzled Srini Devadas, 2017-11-16 Learning programming with one of “the coolest applications around”: algorithmic puzzles ranging from scheduling selfie time to verifying the six degrees of separation hypothesis. This book builds a bridge between the recreational world of algorithmic puzzles (puzzles that can be solved by algorithms) and the pragmatic world of computer programming, teaching readers to program while solving puzzles. Few introductory students want to program for programming's sake. Puzzles are real-world applications that are attention grabbing, intriguing, and easy to describe. Each lesson starts with the description of a puzzle. After a failed attempt or two at solving the puzzle, the reader arrives at an Aha! moment—a search strategy, data structure, or mathematical fact—and the solution presents itself. The solution to the puzzle becomes the specification of the code to be written. Readers will thus know what the code is supposed to do before seeing the code itself. This represents a pedagogical philosophy that decouples understanding the functionality of the code from understanding programming language syntax and semantics. Python syntax and semantics required to understand the code are explained as needed for each puzzle. Readers need only the rudimentary grasp of programming concepts that can be obtained from introductory or AP computer science classes in high school. The book includes more than twenty puzzles and more than seventy programming exercises that vary in difficulty. Many of the puzzles are well known and have appeared in publications and on websites in many variations. They range from scheduling selfie time with celebrities to solving Sudoku problems in seconds to verifying the six degrees of separation hypothesis. The code for selected puzzle solutions is downloadable from the book's website; the code for all puzzle solutions is available to instructors. |
| problem solving and programming: Computer-based Problem Solving Process Teodor Rus, 2015-03-19 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. |
| problem solving and programming: Introduction to Computing & Problem Solving With PYTHON Jeeva Jose, P.Sojan Lal, 2016-08-01 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. |
| problem solving and programming: Problem Solving and Computer Programming Using C Binu A., 2010 |
| problem solving and programming: Learn Ruby the Hard Way Zed A. Shaw, 2014-12-01 You Will Learn Ruby! Zed Shaw has perfected the world’s best system for learning Ruby. Follow it and you will succeed—just like the hundreds of thousands of beginners Zed has taught to date! You bring the discipline, commitment, and persistence; the author supplies everything else. In Learn Ruby the Hard Way, Third Edition, you’ll learn Ruby by working through 52 brilliantly crafted exercises. Read them. Type their code precisely. (No copying and pasting!) Fix your mistakes. Watch the programs run. As you do, you’ll learn how software works; what good programs look like; how to read, write, and think about code; and how to find and fix your mistakes using tricks professional programmers use. Most importantly, you’ll learn the following, which you need to start writing excellent Ruby software of your own: • Installing your Ruby environment • Organizing and writing code • Ruby symbols and keywords • Basic mathematics • Variables and printing • Strings and text • Interacting with users • Working with files • Using and creating functions • Looping and logic • Arrays and elements • Hashmaps • Program design • Object-oriented programming • Inheritance and composition • Modules, classes, and objects • Project “skeleton” directories • Debugging and automated testing • Advanced user input • Text processing • Basic game development • Basic web development It’ll Be Hard At First. But Soon, You’ll Just Get It—And That Will Feel Great! This tutorial will reward you for every minute you put into it. Soon, you’ll know one of the world’s most powerful, popular programming languages. You’ll be a Ruby programmer. |
| problem solving and programming: Algorithmic Puzzles Anany Levitin, Maria Levitin, 2011-10-14 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. |
| problem solving and programming: Answer Set Solving in Practice Martin Gebser, Roland Kaminski, Benjamin Kaufmann, Torsten Schaub, 2022-05-31 Answer Set Programming (ASP) is a declarative problem solving approach, initially tailored to modeling problems in the area of Knowledge Representation and Reasoning (KRR). More recently, its attractive combination of a rich yet simple modeling language with high-performance solving capacities has sparked interest in many other areas even beyond KRR. This book presents a practical introduction to ASP, aiming at using ASP languages and systems for solving application problems. Starting from the essential formal foundations, it introduces ASP's solving technology, modeling language and methodology, while illustrating the overall solving process by practical examples. Table of Contents: List of Figures / List of Tables / Motivation / Introduction / Basic modeling / Grounding / Characterizations / Solving / Systems / Advanced modeling / Conclusions |
| problem solving and programming: I Can Problem Solve: Intermediate elementary grades Myrna B. Shure, 2000 A universal school-based program designed to enhance the interpersonal cognitive processes and problem-solving skills of children in preschool to grade 6. ICPS is proven to prevent and reduce early high-risk behaviors such as impulsivity and social withdrawal and to promote prosocial behaviors such as concern for others and positive peer relationships. |
| problem solving and programming: Introduction to Programming with Java John Dean, 2009-05-01 This book teaches the reader how to write programs using Java. It does so with a unique approach that combines fundamentals first with objects early. The book transitions smoothly through a carefully selected set of procedural programming fundamentals to object-oriented fundamentals. During this early transition and beyond, the book emphasizes problem solving. For example, Chapter 2 is devoted to algorithm development, Chapter 8 is devoted to program design, and problem-solving sections appear throughout the book. Problem-solving skills are fostered with the help of an interactive, iterative presentation style: Here's the problem. How can we solve it? How can we improve the solution? Some key features include: -A conversational, easy-to-follow writing style. -Many executable code examples that clearly and efficiently illustrate key concepts. -Extensive use of UML class diagrams to specify problem organization. -Simple GUI programming early, in an optional standalone graphics track. -Well-identified alternatives for altering the book's sequence to fit individual needs. -Well-developed projects in six different academic disciplines, with a handy summary. -Detailed customizable PowerPointTM lecture slides, with icon-keyed hidden notes. Student Resources: Links to compiler software - for Sun's Java2 SDK toolkit, Helios's TextPad, Eclipse, NetBeans, and BlueJ. TextPad tutorial. Eclipse tutorials. Textbook errata. All textbook example programs and associated resource files. Instructor Resources: Customizable PowerPoint lecture slides with hidden notes. Hidden notes provide comments that supplement the displayed text in the lecture slides. For example, if the displayed text asks a question the hidden notes provide the answer. Exercise solutions. Project solutions. Supplemental Chapters to Accommodate an Objects-Late Approach are available. Click this link to reach the supplemental chapters. The authors have done a superb job of organizing the various chapters to allow the students to enjoy programming in Java from day one. I am deeply impressed with the entire textbook. I would have my students keep this text and use it throughout their academic career as an excellent Java programming source book. - Benjamin B. Nystuen, University of Colorado at Colorado Springs The authors have done a great job in describing the technical aspects of programming. The authors have an immensely readable writing style. I have an extremely favorable impression of Dean and Dean's proposed text. - Shyamal Mitra, University of Texas at Austin The overall impression of the book was that it was friendly to read. I think this is a great strength, simply because students reading it, and especially students who are prone to reading to understand, will appreciate this approach rather than the regular hardcore programming mentality. - Andree Jacobson, University of New Mexico |
| problem solving and programming: Problem Solving with Python 3. 7 Edition Peter D. Kazarinoff, 2019-09-15 Get started solving problems with the Python programming language!This book introduces some of the most famous scientific libraries for Python: * Python's math and statistics module to do calculations * Matplotlib to build 2D and 3D plots * NumPy to complete calculations on arrays * Jupiter Notebooks to share results with a team * SymPy to solve equations * PySerial to control an Arduino with Python * MicroPython to control an LEDThis book is great for budding engineers and data scientists. The text starts with the basics but finishes with topics rarely included in other engineering and data science programming books like SymPy and PySerial and MicroPython. |
| problem solving and programming: Daily Coding Problem Alex Miller, Lawrence Wu, 2019-01-31 Daily Coding Problem contains a wide variety of questions inspired by real programming interviews, with in-depth solutions that clearly take you through each core concept. You'll learn about: * Linked Lists * Arrays * Heaps * Trees * Graphs * Randomized Algorithms * Backtracking * Dynamic Programming * Stacks and Queues * Bit Manipulation * System Design |
| problem solving and programming: Animated Problem Solving Marco T. Morazán, 2022-01-13 This textbook is about systematic problem solving and systematic reasoning using type-driven design. There are two problem solving techniques that are emphasized throughout the book: divide and conquer and iterative refinement. Divide and conquer is the process by which a large problem is broken into two or more smaller problems that are easier to solve and then the solutions for the smaller pieces are combined to create an answer to the problem. Iterative refinement is the process by which a solution to a problem is gradually made better–like the drafts of an essay. Mastering these techniques are essential to becoming a good problem solver and programmer. The book is divided in five parts. Part I focuses on the basics. It starts with how to write expressions and subsequently leads to decision making and functions as the basis for problem solving. Part II then introduces compound data of finite size, while Part III covers compound data of arbitrary size like e.g. lists, intervals, natural numbers, and binary trees. It also introduces structural recursion, a powerful data-processing strategy that uses divide and conquer to process data whose size is not fixed. Next, Part IV delves into abstraction and shows how to eliminate repetitions in solutions to problems. It also introduces generic programming which is abstraction over the type of data processed. This leads to the realization that functions are data and, perhaps more surprising, that data are functions, which in turn naturally leads to object-oriented programming. Part V introduces distributed programming, i.e., using multiple computers to solve a problem. This book promises that by the end of it readers will have designed and implemented a multiplayer video game that they can play with their friends over the internet. To achieve this, however, there is a lot about problem solving and programming that must be learned first. The game is developed using iterative refinement. The reader learns step-by-step about programming and how to apply new knowledge to develop increasingly better versions of the video game. This way, readers practice modern trends that are likely to be common throughout a professional career and beyond. |
| problem solving and programming: Programming, Problem Solving and Abstraction with C Alistair Moffat, 2013 Professor Moffat has been a member of the academic staff at the University of Melbourne since 1987. This book has evolved out of his 20 years' teaching experience with first year students. The readable style is punctuated by more than 100 working programs and each chapter includes detailed case study, key points and exercises. |
| problem solving and programming: Python Programming Reema Thareja, 2019 Python Programming is designed as a textbook to fulfil the requirements of the first-level course in Python programming. It is suited for undergraduate degree students of computer science engineering, IT as well as computer applications. This book will enable students to apply the Python programming concepts in solving real-world problems. The book begins with an introduction to computers, problem solving approaches, programming languages, object oriented programming, and Python programming. Separate chapters dealing with the important constructs of Python language such as control statements, functions, strings, files, data structures, classes and objects, inheritance, operator overloading, and exceptions are provided in the book. |
| problem solving and programming: Think Like a Programmer, Python Edition V. Anton Spraul, 2020-08-11 Programming isn’t just about syntax and assembling code—it’s about problem solving, and all good programmers must think creatively to solve problems. Like the best-selling Think Like a Programmer before it (with over 75,000 copies sold worldwide), this Python-based edition will help you transition from reading programs to writing them, in, Python. (No prior programming experience required!) Rather than simply point out solutions to problems, author V. Anton Spraul will get you thinking by exposing you to techniques that will teach you how to solve programming problems on your own. Each chapter covers a single programming concept like data types, control flow, code reuse, recursion, and classes, then a series of Python-based exercises have you put your skills to the test. You’ll learn how to: -Break big problems down into simple, manageable steps to build into solutions -Write custom functions to solve new problems -Use a debugger to examine each line of your running program in order to fully understand how it works -Tackle problems strategically by turning each new concept into a problem-solving tool The Python edition of Think Like a Programmer aims squarely at the beginning programmer, with additional chapters on early programming topics such as variables, decisions, and looping. Version: This book is based on Python 3. |
| problem solving and programming: Problem Solving and Programming Concepts Sprankle, 2007-09 |
| problem solving and programming: Problem Solving & Programming Concepts Maureen Sprankle, 2008 |
| problem solving and programming: Problem Solving and Programming Concepts Maureen Sprankle, 2001 For introductory level problem solving for languages, problem solving for applications, or any language course found where problem solving is a part of the course work. Designed for students with little or no computer experience, this text provides a step-by-step progression with detailed explanations and many illustrations from the basics of mathematical functions and operators to the design and use of such techniques as code, indicators, control-breaks, arrays, pointers, file updates, report handling, data structures, and object-oriented programming. The tools of problem solving including problem analysis charts, interactivity (structure) charts, IPO charts, coupling diagrams, algorithms, and flowcharts are demonstrated and explained throughout. This is a revision used by thousands of students. |
| problem solving and programming: Java Walter J. Savitch, 2005 In a conversational style, best-selling author Walter Savitch teaches programmers problem solving and programming techniques with Java.Introduces object-oriented programming and important computer science concepts such as testing and debugging techniques, program style, inheritance, and exception handling. Includes thorough coverage of the Swing libraries and event-driven programming. Provides a concise, accessible introduction to Java that covers key language features. Covers objects thoroughly and early, with an emphasis on applications over applets.A useful reference for programmers who want to brush up on their Java skills. |
PROBLEM Definition & Meaning - Merriam-Webster
The meaning of PROBLEM is a question raised for inquiry, consideration, or solution. How to use problem in a sentence. Synonym Discussion of Problem.
PROBLEM | English meaning - Cambridge Dictionary
PROBLEM definition: 1. a situation, person, or thing that needs attention and needs to be dealt with or solved: 2. a…. Learn more.
Problem - definition of problem by The Free Dictionary
problem - a question raised for consideration or solution; "our homework consisted of ten problems to solve"
What does Problem mean? - Definitions.net
Problem solving is the process of achieving a goal by overcoming obstacles, a frequent part of most activities. Problems in need of solutions range from simple personal tasks (e.g. how to …
problem, n. meanings, etymology and more | Oxford English …
There are nine meanings listed in OED's entry for the noun problem, three of which are labelled obsolete. See ‘Meaning & use’ for definitions, usage, and quotation evidence.
PROBLEM - Definition & Translations | Collins English Dictionary
Discover everything about the word "PROBLEM" in English: meanings, translations, synonyms, pronunciations, examples, and grammar insights - all in one comprehensive guide.
problem - Wiktionary, the free dictionary
May 17, 2025 · problem (comparative more problem, superlative most problem) (of a person or an animal) Difficult to train or guide; unruly. Causing a problem; problematic; troublesome.
Problem - Definition, Meaning & Synonyms | Vocabulary.com
If you are facing something that will be difficult to handle, you have a problem on your hands. A problem is a roadblock in a situation, something that sets up a conflict and forces you to find a …
Problem Definition & Meaning - YourDictionary
Problem definition: A question to be considered, solved, or answered.
Problem Definition & Meaning | Britannica Dictionary
PROBLEM meaning: 1 : something that is difficult to deal with something that is a source of trouble, worry, etc.; 2 : difficulty in understanding something
PROBLEM Definition & Meaning - Merriam-Webster
The meaning of PROBLEM is a question raised for inquiry, consideration, or solution. How to use problem in a sentence. Synonym Discussion of Problem.
PROBLEM | English meaning - Cambridge Dictionary
PROBLEM definition: 1. a situation, person, or thing that needs attention and needs to be dealt with or solved: 2. a…. Learn more.
Problem - definition of problem by The Free Dictionary
problem - a question raised for consideration or solution; "our homework consisted of ten problems to solve"
What does Problem mean? - Definitions.net
Problem solving is the process of achieving a goal by overcoming obstacles, a frequent part of most activities. Problems in need of solutions range from simple personal tasks (e.g. how to …
problem, n. meanings, etymology and more | Oxford English …
There are nine meanings listed in OED's entry for the noun problem, three of which are labelled obsolete. See ‘Meaning & use’ for definitions, usage, and quotation evidence.
PROBLEM - Definition & Translations | Collins English Dictionary
Discover everything about the word "PROBLEM" in English: meanings, translations, synonyms, pronunciations, examples, and grammar insights - all in one comprehensive guide.
problem - Wiktionary, the free dictionary
May 17, 2025 · problem (comparative more problem, superlative most problem) (of a person or an animal) Difficult to train or guide; unruly. Causing a problem; problematic; troublesome.
Problem - Definition, Meaning & Synonyms | Vocabulary.com
If you are facing something that will be difficult to handle, you have a problem on your hands. A problem is a roadblock in a situation, something that sets up a conflict and forces you to find a …
Problem Definition & Meaning - YourDictionary
Problem definition: A question to be considered, solved, or answered.
Problem Definition & Meaning | Britannica Dictionary
PROBLEM meaning: 1 : something that is difficult to deal with something that is a source of trouble, worry, etc.; 2 : difficulty in understanding something
