Computational Thinking
- ผู้แต่ง
- ผู้บรรยาย
- สำนักพิมพ์
- 19 คะแนน
4
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- 5 ชม. 56 น.
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- ภาษาอังกฤษ
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นอนฟิกชั่น
A few decades into the digital era, scientists discovered that thinking in terms of computation made possible an entirely new way of organizing scientific investigation; eventually, every field had a computational branch: computational physics, computational biology, computational sociology. More recently, "computational thinking" has become part of the K–12 curriculum. But what is computational thinking? This volume in the MIT Press Essential Knowledge series offers an accessible overview.
The authors explain that computational thinking (CT) is not a set of concepts for programming; it is a way of thinking that is honed through practice: the mental skills for designing computations to do jobs for us, and for explaining and interpreting the world as a complex of information processes. Mathematically trained experts (known as "computers") who performed complex calculations as teams engaged in CT long before electronic computers. The authors identify six dimensions of today's highly developed CT—methods, machines, computing education, software engineering, computational science, and design—and cover each in a chapter. Along the way, they debunk inflated claims for CT and computation while making clear the power of CT in all its complexity and multiplicity.
© 2019 Ascent Audio (หนังสือเสียง): 9781469073101
วันเปิดตัว
หนังสือเสียง: 23 เมษายน 2562
หนังสือที่คล้ายกับ Computational Thinking
- Uberland: How Algorithms Are Rewriting the Rules of Work Alex Rosenblat
- Big Data: How the Information Revolution Is Transforming Our Lives Brian Clegg
- Maths on the Back of an Envelope: Clever ways to (roughly) calculate anything Rob Eastaway
- Ten Short Lessons in Artificial Intelligence and Robotics Peter J. Bentley
- The Age of AI: Artificial Intelligence and the Future of Humanity Jason Thacker
- Measurement Paul Lockhart
- Artificial You: AI and the Future of Your Mind Susan Schneider
- The Odd Quantum Sam Treiman
- Fluke: The Math and Myth of Coincidence Joseph Mazur
- Automate This: How Algorithms Came to Rule Our World Christopher Steiner
- Artificial Intelligence: Modern Magic or Dangerous Future? Yorick Wilks
- The Future Nick Montfort
- Zero: The Biography of a Dangerous Idea Charles Seife
- Radical Technologies: The Design of Everyday Life Adam Greenfield
- The Mind-Body Problem Jonathan Westphal
- Once Upon an Algorithm: How Stories Explain Computing Martin Erwig
- New Laws of Robotics: Defending Human Expertise in the Age of AI Frank Pasquale
- The Ethical Algorithm: The Science of Socially Aware Algorithm Design Michael Kearns, Aaron Roth
- The Formula: How Algorithms Solve all our Problems... and Create More Luke Dormehl
- Robot Rules: Regulating Artificial Intelligence Jacob Turner
- Mathematics for Human Flourishing Francis Su
- The Delusions Of Crowds: Why People Go Mad in Groups William J. Bernstein
- The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do Erik J. Larson
- This Idea Must Die: Scientific Theories That Are Blocking Progress John Brockman
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- Liars and Outliers: Enabling the Trust that Society Needs to Thrive Bruce Schneier
- Standard Deviations: Flawed Assumptions, Tortured Data, and Other Ways to Lie with Statistics Gary Smith
- Information and Society Michael Buckland
- The Money Illusion: Market Monetarism, the Great Recession, and the Future of Monetary Policy Scott Sumner
- Can It Happen Here?: Authoritarianism in America Cass R. Sunstein
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