[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-41116-en":3,"doc-seo-41116-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":13,"seo_description":14,"update_tm":28,"read_time":29},41116,7971461741311,"Ophelia","https://ap-avatar.wpscdn.com/avatar/74000253aff267980c6?x-image-process=image/resize,m_fixed,w_180,h_180&k=1779345379180704826",6,"Technology","Problem Solving And Computer Programming","A compilation of key resources on problem solving and computer programming, spanning logical foundations, algorithmic thinking, and practical programming pedagogy. It covers how logic informs problem-solving and software design, approaches for structuring algorithms as logical descriptions plus control strategies, and guidance for programmers to break down problems, reuse code effectively, select suitable data structures, and master concepts like recursion and dynamic memory. It also addresses the evolution of computer-based problem-solving workflows and includes introductory Pascal-related fundamentals and process-oriented perspectives for general users.","Problem Solving And Computer Programming  \nKen Watanabe  \nLogic for Problem Solving Robert Kowalski,1979 Investigates the application of logic to problem solving and computer programming. Requires no previous knowledge in this field, and therefore can be used as an introduction to logic, the theory of problem-solving and computer programming. Annotation copyrighted by Book News, Inc., Portland, OR  \nComputer Problem Solving R. P. Watkins,1974  \nIntroduction to Computer Programming John M. Hartling,Larry E. Druffel,F. Jack Hilbing,1983  \nComputer-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.  \nThink 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  \nwritten 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.  \nAn Introduction to Programming and Problem Solving with PASCAL G. Michael Schneider,Steven W. Weingart,David M. Perlman,1978 Algorithms; Basic pascal concepts; Elementary pascal programming; Flow of control; Running debugging and testing programs; Additional pascal data types; Functions and procedures; Building quality programs.  \nLogic for Problem Solving, Revisited Robert Kowalski,2014 This seminal book of Computer Science is the most cited reference on the subject of programming in logic. Originally published in 1979, this now classic text was the first comprehensive attempt to define the scope of logic for problem solving. In this extended edition, Robert Kowalski revisits his classic text in the light of subsequent developments in a substantial commentary of fifty pages. This work investigates the application of logic to problem-","cbCaigls80T3XZHu","https://ap.wps.com/l/cbCaigls80T3XZHu","pdf",122252,3,1,15,"English","en",105,"# Overview of problem solving and programming\n## Logic and computational logic\n## Computer-based problem-solving processes\n## Programming thinking and skills\n## Programming introductions and fundamentals\n## Language-specific approaches (e.g., Pascal)","[{\"question\":\"How do these materials link logic to problem solving in computer programming?\",\"answer\":\"They emphasize applying logic to define the scope and structure of problem-solving, including computational logic and the separation of problem description (logic) from execution strategy (control).\"},{\"question\":\"What guidance do the books offer on how programmers should approach solving problems?\",\"answer\":\"They focus on decomposing problems into components, leveraging reusable functions/classes/libraries, choosing appropriate data structures, and using advanced techniques such as recursion and dynamic memory to develop clear strategies.\"},{\"question\":\"Why is the computer-based problem-solving process described as becoming more demanding?\",\"answer\":\"As software tool ecosystems expanded, users can become distracted by pursuing additional tools rather than concentrating on the conceptual problem-solving 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