Accessible to non-computer science majors, this classroom-tested book introduces computational thinking as part of an introductory computing course and shows how computer science concepts are applicable to other fields. With numerous color figures, the text 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.

Riley, David; Hunt, Kenny A.

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 class

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.