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Computational Thinking: A Perspective on Computer Science (Hardcover, 1st ed. 2021)
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Computational Thinking: A Perspective on Computer Science (Hardcover, 1st ed. 2021)
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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 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.
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