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This book grew out of the Fourth Conference on Computers and the Writing process, held at the University of Sussex in March 1991. Fifteen;
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Essential Computational Thinking: Computer Science from Scratch helps students build a theoretical and practical foundation for learning;
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, secondary, and college levels of teaching * Reviews specialized teaching methods including computer simulations, small labs, and journal writing;
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and including handy checklists and exercises, Writing for Computer Science is not only an introduction to the doing and describing of research;
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Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you;
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understand the best practices for teaching computer science to their students and their children. The authors, experts in teaching computer;
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Steps to a 5: AP Computer Science A guide has been updated for the 2021-22 school year and now contains: 3 full-length practice exams;
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Designed for a first Computer Science (CS1) Java course, JAVA PROGRAMMING: FROM PROBLEM ANALYSIS TO PROGRAM DESIGN, 5e, International;
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such as article design, writing style, illustrations, algorithms, and the scientific process. The focus is on writing for the mathematical;
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For courses in Computer Science and Programming Computer systems: A Programmer's Perspective explains the underlying elements common among;
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novice programmers. C for Yourself is suitable as a supplement in an elementary computer science course for computer science majors as well as a;
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Mathematics for Computer Science;
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Mathematics for Computer Science;
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computer science in this introductory text/note-taking guide package for undergraduate computer science majors and nonmajors. The layers of a;
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For computer science and engineering communications courses. This completely revised edition delivers the information needed to understand;
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. But writing has been a passion for many years as he began by writing devotionals for his kids and then for his church. He is currently;
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Improving Computer Science Education examines suitable theoretical frameworks for conceptualizing teaching and learning computer science;
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Improving Computer Science Education examines suitable theoretical frameworks for conceptualizing teaching and learning computer science;
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the R software environment. Statistical methods are being increasingly developed and refined by computer scientists, with expertise in writing;
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professors, researchers, scientists, engineers and students in computer science-related disciplines. It is also useful for those from other;
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professors, researchers, scientists, engineers and students in computer science-related disciplines. It is also useful for those from other;
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of transferring methods and tools from computer science to biology. The reverse trend is evident in Grammars and Automata for String Processing: From;
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Illustrated revision and practise for Computer Science. Absolute clarity is the aim with a new generation of revision guide for the 2020s;
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is not typical for popular science writing, whichoftenrestrictsitselftooutliningtheimportanceofaresearch area. Whenever possible we strive to;
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is not typical for popular science writing, whichoftenrestrictsitselftooutliningtheimportanceofaresearch area. Whenever possible we strive to;
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what they are letting themselves in for when they start a Computer Science course, and hence find themselves very well suited for the course;
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is intended for a large public in applied mathematics, discrete mathematics and computer science, including researchers, teachers, graduate students;
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