Computational Thinking for the Modern Problem Solver / Edition 1

by David Riley, Kenny A. Hunt

Overview

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.

Product Details

ISBN-13:	9781466587779
Publisher:	Taylor & Francis
Publication date:	03/27/2014
Series:	Chapman & Hall/CRC Textbooks in Computing
Edition description:	New Edition
Pages:	406
Product dimensions:	6.20(w) x 9.30(h) x 1.10(d)

About the Author

Riley, David; Hunt, Kenny A.

Table of Contents

What Is Computational Thinking? How Real-World Information Becomes Computable Data. Logic. Solving Problems. Algorithmic Thinking. Modeling Solutions. Data Organization. Algorithmic Thinking. Let’s Get It Correct. Limits of Computation. Concurrent Activity. Information Security.