Textbook in PDF format

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, problemsolving 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. 
Features
Explains foundational computer science concepts, including abstraction, algorithms, logic, graph theory, social issues of software, and numeric modeling
Covers engineering topics, such as execution control, problemsolving strategies, testing, and data encoding and organizing 
Emphasizes algorithmic thinking and problem solving 
Presents the material in an accessible and relevant way for noncomputer science majors
Shows how algorithmic thinking is integral to problem solving, control structures, modeling, correctness, limits of computation, and concurrency