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.
The authors present the algorithms using language-independent notation..
The text also discusses fundamental concepts of programming, including variables and assignment, sequential execution, selection, repetition, control abstraction, data organization, and concurrency.
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.
With numerous color figures, this classroom-tested book focuses on both foundational computer science concepts and engineering topics.
It keeps the material accessible and relevant to noncomputer science majors.
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
