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.
Table of Contents
Chapter 1: What Is Computational Thinking?
Chapter 2: How Real-World Information Becomes Computable Data
Chapter 3: Logic
Chapter 4: Solving Problems
Chapter 5: Algorithmic Thinking
Chapter 6: Modeling Solutions
Chapter 7: Data Organization
Chapter 8: Algorithmic Thinking
Chapter 9: Let’s Get It Correct
Chapter 10: Limits of Computation
Chapter 11: Concurrent Activity
Chapter 12: Information Security