Zhiwei Xu - Computational Thinking: A Perspective on Computer Science
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- Book:Computational Thinking: A Perspective on Computer Science
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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 books structure encourages active, hands-on learning using the pedagogic tool Blooms 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.
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This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd.
The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore
To Hao, for continuous inspiration and support
Zhiwei
To my husband and little son, with love
Jialin
This book provides an introduction to computer science from the computational thinking perspective. It explains the way of thinking in computer science through chapters of logic thinking, algorithmic thinking, systems thinking, and network thinking. It is purposely designed as a textbook for the first computer science course serving undergraduates from all disciplines.
The book focuses on elementary knowledge such that all material can be covered in a one-semester course of Introduction to Computer Science. It is designed for all students, assuming no prior programming experience. At the same time, students with prior programming experience should not find the course boring.
Design a Turing machine to do n-bit addition, where n could be arbitrarily large. This could be a students first design of an abstract computer .
Design a team computer to do quicksort. This could be a students first design of a real computer , including its instruction set and machine organization.
Develop a computer application (a steganography computer program) to hide a text file hamlet.txt in a picture file Autumn.bmp.
Design a smart algorithm and a program to compute Fibonacci numbers F(n), where n could be as large as one million or even one billion.
Create a dynamic webpage of creative expression for a Kitty Band, which can play a piece of music given an input string of music scores.
The material of the book has been used in the University of Chinese Academy of Sciences since 2014, serving a required course for freshmen from all schools. It was also used in summer schools organized by China Computer Federation, to train university and high-school instructors on teaching a Computer Fundamentals course utilizing computational thinking.
Supplementary material is provided at cs101.ucas.edu.cn .
This textbook is for a one-semester course of Introduction to Computer Science (e.g., CS101), targeting undergraduate students from all disciplines. It is a self-contained book with no prerequisites. The little prior knowledge and notations needed are explained along the way and summarized in Appendices.
Embodying computational thinking. The way of thinking in computer science is characterized by three features without and eight understandings within. Introductory bodies of knowledge are organized into chapters of logic thinking, algorithmic thinking, systems thinking, and network thinking.
Aiming at upper levels of Blooms taxonomy, with a significant portion of learning material going from remember to create, as shown in Fig.. The learning method uses Knuths Test: The ultimate test of whether I understand something is if I can explain it to a computer. More than 200 hands-on exercises and thought experiments are included to encourage students to create.
Focusing on elementary knowledge without dumbing down. An explicit goal is that all material should be coverable in one semester, for a class of hundreds of students of all disciplines, assuming no prior programming experiences. At the same time, experienced students should not find the course boring.
Learning from a decade of educational experience. We spent 4 years designing the course and 6 years teaching the material. The contents have gone through three major revisions. For instance, version 1 has no programming. Version 2 includes Go language programming contents. Version 3 (the current version) requires a student to write roughly 300 lines of Go code and 100 lines of Web code, where most students can learn Web programming by themselves.
Computer science is a subject studying computational processes in problem-solving and creative expression. This textbook includes over 200 problems as examples, exercises, and hands-on projects. They provide a glimpse of how computers work and what kinds of problem-solving and creative expression are enabled by computer science and computational thinking.
The book shows how to solve such problems. In doing so, it introduces elementary knowledge on not only how to use a computer but also how to design a computer. We demonstrate that computer science is intellectually interesting, by heeding Donald Knuths advice: In most of life, you can bluff, but not with computers. We take special care to avoid underestimating the potentials of students and dumbing down the course material.
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