Computational Thinking: A Perspective on Computer Science

This textbook is intended as a textbook for one-semester, introductory computer science courses aimed at undergraduate students from all disciplines. Self-contained and with no prerequisites, it focuses on elementary knowledge and thinking models. The content has been tested in university classrooms for over six years, and has been used in summer schools to train university and high-school teachers on teaching introductory computer science courses using computational thinking.

This book introduces computer science from a computational thinking perspective. In computer science the way of thinking is characterized by three external and eight internal features, including automatic execution, bit-accuracy and abstraction. The book is divided into chapters on logic thinking, algorithmic thinking, systems thinking, and network thinking. It also covers societal impact and responsible computing material from ICT industry to digital economy, from the wonder of exponentiation to wonder of cyberspace, and from code of conduct to best practices for independent work.

The book's structure encourages active, hands-on learning using the pedagogic tool Bloom's taxonomy to create computational solutions to over 200 problems of varying difficulty. Students solve problems using a combination of thought experiment, programming, and written methods. Only 300 lines of code in total are required to solve most programming problems in this book.

Serves as a self-contained textbook for introductory computer science courses for undergraduate students from all disciplines Helps readers to master computational thinking from the aspects of logic thinking, algorithmic thinking, systems thinking, and network thinking Includes over 200 examples, exercises and projects to encourage hands-on learning, while the companion website includes lecture slides, code and multimedia files, and solutions to homework problems

Autorentext

Zhiwei Xu received his PhD from the University of Southern California (1987) and is a Professor at the Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China. He is also a professor at the University of Chinese Academy of Sciences (UCAS). His main research areas include computer architecture and distributed systems. He has led over a dozen priority research projects in parallel and distributed computing. He has over 30 years of experience teaching undergraduate and graduate courses in computer architecture, computer organization, digital logic, distributed systems, introduction to computer science, and parallel processing. Jialin Zhang received her PhD from Tsinghua University, Beijing, China (2010) and is a professor at the Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China. She is also a professor at the University of Chinese Academy of Sciences (UCAS). Her main research areas include theoretical computer science and quantum computation. She has taught undergraduate and graduate courses in introductory computer science, design and analysis of algorithms, and advanced algorithms.

Inhalt
1 Overview of Computer Science.-2 Processes of Digital Symbol Manipulation.- 3 Logic Thinking.- 4 Algorithmic Thinking.- 5 Systems Thinking.- 6 Network Thinking.- 7 Projects.- 8 Appendices.