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Computer Scientist I Like To Solve Problems
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Book Synopsis Classic Computer Science Problems in Java by : David Kopec
Download or read book Classic Computer Science Problems in Java written by David Kopec and published by Simon and Schuster. This book was released on 2020-12-21 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Introduction to Scientific Programming by : Joseph L. Zachary
Download or read book Introduction to Scientific Programming written by Joseph L. Zachary and published by Springer Science & Business Media. This book was released on 1996-09-26 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Introduction to Computational Science" was developed over a period of two years at the University of Utah Department of Computer Science in conjunction with the U.S. Department of Energy-funded Undergraduate Computation in Engineering Science (UCES) program. Each chapter begins by introducing a problem and then guiding the student through its solution. The computational techniques needed to solve the problem are developed as necassary, making the motivation for learning the computing alwasy apparent. Each chapter will introduce a single problem that will be used to motivate a single computing concept. The notes currently consist of 15 chapters. The first seven chapters deal with Maple and the last eight with C. The textbook will contain 20 to 30 chapters covering a similar mix of concepts at a finer level of detail.
Book Synopsis Computer Scientist I Solve Problems You Don't Know Notebook by : Genius Job Utility Journal Notebooks
Download or read book Computer Scientist I Solve Problems You Don't Know Notebook written by Genius Job Utility Journal Notebooks and published by . This book was released on 2019-12-28 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you passionate about Technology ? Do you Love Science ? Are you good at your Job but can not remember everything? No Problem. This Notebook will help you remember it all! It comes with: - 110 Pages - 6 x 9 inch size - beautiful matte cover - simple yet elegant design An awesome Gift Idea for Birthdays, Christmas, Anniversaries, Graduation or any other present giving occasion.
Book Synopsis Computing for Ordinary Mortals by : Robert St. Amant
Download or read book Computing for Ordinary Mortals written by Robert St. Amant and published by Oxford University Press. This book was released on 2013 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Computing for Ordinary Mortals, cognitive scientist and AI expert Robert St. Amant explains what he calls, "the really interesting part" of computing, which are the ideas behind the technology. They're powerful ideas, and the foundations for everything that computers do, but they are little discussed. This book will not tell you how to use your computer, but it will give you a conceptual tour of how it works. Some of the ideas, like modularity which are so embedded in what we do as humans, can also give us insight into our own daily activities, how we interact with other people, and in some cases even what's going on in our heads. Computing is all around us, and, to quote Richard Hamming, the influential mathematician and computer scientist, "The purpose of computing is insight, not numbers," and it is this insight that informs the entire book.
Book Synopsis Computer-based Problem Solving Process by : Teodor Rus
Download or read book Computer-based Problem Solving Process written by Teodor Rus and published by World Scientific. This book was released on 2015-03-19 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis HT THINK LIKE A COMPUTER SCIEN by : Jeffrey Elkner
Download or read book HT THINK LIKE A COMPUTER SCIEN written by Jeffrey Elkner and published by Samurai Media Limited. This book was released on 2016-10-04 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this book is to teach you to think like a computer scientist. This way of thinking combines some of the best features of mathematics, engineering, and natural science. Like mathematicians, computer scientists use formal languages to denote ideas (specifically computations). Like engineers, they design things, assembling components into systems and evaluating tradeoffs among alternatives. Like scientists, they observe the behavior of complex systems, form hypotheses, and test predictions. The single most important skill for a computer scientist is problem solving. Problem solving means the ability to formulate problems, think creatively about solutions, and express a solution clearly and accurately. As it turns out, the process of learning to program is an excellent opportunity to practice problem-solving skills. That's why this chapter is called, The way of the program. On one level, you will be learning to program, a useful skill by itself. On another level, you will use programming as a means to an end. As we go along, that end will become clearer.
Book Synopsis Computer Scientist I Solve Problems You Don't Know Notebook by : Genius Job Utility Journal Notebooks
Download or read book Computer Scientist I Solve Problems You Don't Know Notebook written by Genius Job Utility Journal Notebooks and published by . This book was released on 2019-12-19 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you passionate about Technology ? Do you Love Science ? Are you good at your Job but can not remember everything? No Problem. This Notebook will help you remember it all! It comes with: - 110 Pages - 6 x 9 inch size - beautiful matte cover - simple yet elegant design An awesome Gift Idea for Birthdays, Christmas, Anniversaries, Graduation or any other present giving occasion.
Download or read book Think Julia written by Ben Lauwens and published by O'Reilly Media. This book was released on 2019-04-05 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you’re just learning how to program, Julia is an excellent JIT-compiled, dynamically typed language with a clean syntax. This hands-on guide uses Julia 1.0 to walk you through programming one step at a time, beginning with basic programming concepts before moving on to more advanced capabilities, such as creating new types and multiple dispatch. Designed from the beginning for high performance, Julia is a general-purpose language ideal for not only numerical analysis and computational science but also web programming and scripting. Through exercises in each chapter, you’ll try out programming concepts as you learn them. Think Julia is perfect for students at the high school or college level as well as self-learners and professionals who need to learn programming basics. Start with the basics, including language syntax and semantics Get a clear definition of each programming concept Learn about values, variables, statements, functions, and data structures in a logical progression Discover how to work with files and databases Understand types, methods, and multiple dispatch Use debugging techniques to fix syntax, runtime, and semantic errors Explore interface design and data structures through case studies
Book Synopsis Computational Thinking for the Modern Problem Solver by : David D. Riley
Download or read book Computational Thinking for the Modern Problem Solver written by David D. Riley and published by CRC Press. This book was released on 2014-03-27 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Through examples and analogies, Computational Thinking for the Modern Problem Solver introduces computational thinking as part of an introductory computing course and shows how computer science concepts are applicable to other fields. It keeps the material accessible and relevant to noncomputer science majors. With numerous color figures, this classroom-tested book focuses on both foundational computer science concepts and engineering topics. It covers abstraction, algorithms, logic, graph theory, social issues of software, and numeric modeling as well as execution control, problem-solving strategies, testing, and data encoding and organizing. The text also discusses fundamental concepts of programming, including variables and assignment, sequential execution, selection, repetition, control abstraction, data organization, and concurrency. The authors present the algorithms using language-independent notation.
Book Synopsis Computer Science Distilled by : Wladston Ferreira Filho
Download or read book Computer Science Distilled written by Wladston Ferreira Filho and published by Code Energy. This book was released on 2017-01-17 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: A walkthrough of computer science concepts you must know. Designed for readers who don't care for academic formalities, it's a fast and easy computer science guide. It teaches the foundations you need to program computers effectively. After a simple introduction to discrete math, it presents common algorithms and data structures. It also outlines the principles that make computers and programming languages work.
Book Synopsis How to Solve it by Computer by : R. G. Dromey
Download or read book How to Solve it by Computer written by R. G. Dromey and published by Prentice Hall. This book was released on 1982 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :Hemant K. Bhargava Publisher :Springer Science & Business Media ISBN 13 :9781402072956 Total Pages :342 pages Book Rating :4.0/5 (729 download)
Book Synopsis Computational Modeling and Problem Solving in the Networked World by : Hemant K. Bhargava
Download or read book Computational Modeling and Problem Solving in the Networked World written by Hemant K. Bhargava and published by Springer Science & Business Media. This book was released on 2002-12-31 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a compilation of a selected subset of research articles presented at the Eighth INFORMS Computing Society Conference, held in Chandler, Arizona, from January 8 to 10, 2003. The articles in this book represent the diversity and depth of the interface between ORiMS (operations research and the management sciences) and CS/AI (computer science and artificial intelligence ). This volume starts with two papers that represent the reflective and integrative thinking that is critical to any scientific discipline. These two articles present philosophical perspectives on computation, covering a variety of traditional and newer methods for modeling, solving, and explaining mathematical models. The next set includes articles that study machine learning and computational heuristics, and is followed by articles that address issues in performance testing of solution algorithms and heuristics. These two sets of papers demonstrate the richness of thought that takes place at the ORiMS and CSI AI interface. The final set of articles demonstrates the usefulness of these and other methods at the interface towards solving problems in the real world, covering e-commerce, workflow, electronic negotiation, music, parallel computation, and telecommunications. The articles in this collection represent the results of cross-fertilization between ORiMS and CSI AI, making possible advances that could have not been achieved in isolation. The continuing aim ofthe INFORMS Computing Society and this research conference is to invigorate and further develop this interface.
Book Synopsis The Computer Science Problem Solver by :
Download or read book The Computer Science Problem Solver written by and published by . This book was released on 1983 with total page 851 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Fundamentals of Discrete Math for Computer Science by : Tom Jenkyns
Download or read book Fundamentals of Discrete Math for Computer Science written by Tom Jenkyns and published by Springer. This book was released on 2018-05-03 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: This clearly written textbook presents an accessible introduction to discrete mathematics for computer science students, offering the reader an enjoyable and stimulating path to improve their programming competence. The text empowers students to think critically, to be effective problem solvers, to integrate theory and practice, and to recognize the importance of abstraction. Its motivational and interactive style provokes a conversation with the reader through a questioning commentary, and supplies detailed walkthroughs of several algorithms. This updated and enhanced new edition also includes new material on directed graphs, and on drawing and coloring graphs, in addition to more than 100 new exercises (with solutions to selected exercises). Topics and features: assumes no prior mathematical knowledge, and discusses concepts in programming as and when they are needed; designed for both classroom use and self-study, presenting modular and self-contained chapters that follow ACM curriculum recommendations; describes mathematical processes in an algorithmic manner, often supported by a walkthrough demonstrating how the algorithm performs the desired task; includes an extensive set of exercises throughout the text, together with numerous examples, and shaded boxes highlighting key concepts; selects examples that demonstrate a practical use for the concept in question. Students embarking on the start of their studies of computer science will find this book to be an easy-to-understand and fun-to-read primer, ideal for use in a mathematics course taken concurrently with their first programming course.
Book Synopsis Programming and Problem Solving by : David a Freitag
Download or read book Programming and Problem Solving written by David a Freitag and published by . This book was released on 2019-09-16 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Solving Problems in Scientific Computing Using Maple and MATLAB® by : Walter Gander
Download or read book Solving Problems in Scientific Computing Using Maple and MATLAB® written by Walter Gander and published by Springer Science & Business Media. This book was released on 2004-06-07 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Teaches problem-solving using two of the most important mathematical software packages: Maple and MATLAB. This new edition contains five completely new chapters covering new developments.
Book Synopsis The Self-Taught Computer Scientist by : Cory Althoff
Download or read book The Self-Taught Computer Scientist written by Cory Althoff and published by John Wiley & Sons. This book was released on 2021-09-16 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: The follow-up to Cory Althoff's bestselling The Self-Taught Programmer, which inspired hundreds of thousands of professionals to learn to program outside of school! Fresh out of college and with just a year of self-study behind him, Cory Althoff was offered a dream first job as a software engineer for a well-known tech company, but he quickly found himself overwhelmed by the amount of things he needed to know, but hadn’t learned yet. This experience combined with his personal journey learning to program inspired his widely praised guide, The Self-Taught Programmer. Now Cory's back with another guide for the self-taught community of learners focusing on the foundations of computer science. The Self-Taught Computer Scientist introduces beginner and self-taught programmers to computer science fundamentals that are essential for success in programming and software engineering fields. Computer science is a massive subject that could cover an entire lifetime of learning. This book does not aim to cover everything you would learn about if you went to school to get a computer science degree. Instead, Cory's goal is to give you an introduction to some of the most important concepts in computer science that apply to a programming career. With a focus on data structures and algorithms, The Self-Taught Computer Scientist helps you fill gaps in your knowledge, prepare for a technical interview, feel knowledgeable and confident on the job, and ultimately, become a better programmer. Learn different algorithms including linear and binary search and test your knowledge with feedback loops Understand what a data structure is and study arrays, linked lists, stacks, queues, hash tables, binary trees, binary heaps, and graphs Prepare for technical interviews and feel comfortable working with more experienced colleagues Discover additional resources and tools to expand your skillset and continue your learning journey It's as simple as this: You have to study computer science if you want to become a successful programmer, and if you don't understand computer science, you won't get hired. Ready for a career in programming, coding, or software engineering and willing to embrace an "always be learning" mindset? The Self-Taught Computer Scientist is for you.
