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.So two of the key components of our computer hardware are the memory for remembering and the processor for reasoning. ... But what is the truth about the differences between computer systems and humans? ... The concept that Turing proposed has become well known ... The computer and the human are labeled A and B, respectively, in Figure 10.17. ... Almost from the beginning computers have been designed to mimic FIGURE 10.18 A Venn diagram of human behavior andanbsp;...
|Title||:||Computational Thinking for the Modern Problem Solver|
|Author||:||David D. Riley, Kenny A. Hunt|
|Publisher||:||CRC Press - 2014-03-27|