Computational Thinking
- 공 저자
- 나레이터
- 출판사
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 (오디오북): 9781469073101
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오디오북: 2019년 4월 23일
Computational Thinking와 비슷한 책
- 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
- What Should We Be Worried About?: Real Scenarios That Keep Scientists Up at Night John Brockman
- Contraception: A Concise History Donna J. Drucker
- Straight Talk on Trade: Ideas for a Sane World Economy Dani Rodrik
- Deep Learning John D. Kelleher
- How to Educate a Citizen: The Power of Shared Knowledge to Unify a Nation E. D. Hirsch
- The Future of Energy Scientific American
- Arriving Today: From Factory to Front Door: Why Everything Has Changed About How and What We Buy Christopher Mims
- Mastering Logical Fallacies: The Definitive Guide to Flawless Rhetoric and Bulletproof Logic Michael Withey
- GDP: A Brief but Affectionate History – Revised and expanded Edition: A Brief but Affectionate History - Revised and expanded Edition Diane Coyle
- Understanding Economics: Game Theory The Great Courses, Jay R. Corrigan
- Cogs and Monsters: What Economics Is, and What It Should Be Diane Coyle
- GDP: The World’s Most Powerful Formula and Why it Must Now Change Ehsan Masood
- Coders at Work: Reflections on the Craft of Programming Peter Seibel
- The Information Trade: How Big Tech Conquers Countries, Challenges Our Rights, and Disrupts Our World: How Big Tech Conquers Countries, Challenges Our Rights, and Transforms Our World Alexis Wichowski
- China: The Bubble That Never Pops Thomas Orlik
- Martin Gardner: The Magic and Mystery of Numbers Scientific American
- Things Fall Together: A Guide to the New Materials Revolution Skylar Tibbits
- Averting Catastrophe: Decision Theory for COVID-19, Climate Change, and Potential Disasters of All Kinds Cass R. Sunstein
- Too Much Information: Understanding What You Don't Want to Know: Understanding What You Don’t Want to Know Cass R. Sunstein
- Big Data Revolution: What farmers, doctors and insurance agents teach us about discovering big data patterns Rob Thomas, Patrick McSharry
- 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
- 어린이날이 사라진다고? 노수미
- 그 많던 싱아는 누가 다 먹었을까 박완서
- 신기한 맛 도깨비 식당 1 김용세, 김병선
- who? 마이클 잭슨 툰쟁이, 한나나
- 용선생 처음 세계사1: 고대 문명~중세: 고대 문명~중세 김선혜, 정지윤, 노남희, 뭉선생, 윤효식, 이우일, 김선빈, 사회평론 역사연구소
- 기분이 태도가 되지 않게 레몬심리
- who? 이순신 스튜디오청비, 이수겸
- 돈의 속성 김승호
- 바람의 화원 1 이정명
- Henry and Mudge: The First Book Cynthia Rylant
- 어린 왕자 앙투안 드 생텍쥐페리
- who? 단군·주몽 정병훈, 최재훈
- 명탐정 셜록 홈즈 1 아서 코난 도일
- 신기한 맛 도깨비 식당 3 김용세, 김병선
- 무지개 목욕탕 강효미, 밤코
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