Computational Thinking
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Narrated by:
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Steven Jay Cohen
About this listen
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.
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What is economic growth? And why, historically, has it occurred in only a few places? Previous efforts to answer these questions have focused on institutions, geography, finances, and psychology. But according to MIT's anti-disciplinarian César Hidalgo, understanding the nature of economic growth demands transcending the social sciences and including the natural sciences of information, networks, and complexity. To understand the growth of economies, Hidalgo argues, we first need to understand the growth of order.
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Great book!
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The Master Algorithm
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Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.
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Great book, irritating narration
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Whiplash
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Today, not only is everything digital getting faster, cheaper, and smaller at an exponential rate, we also have the Internet. When these two revolutions - one in technology and the other in communications - joined, an explosive force was unleashed that changed the very nature of innovation. And with any change, we have seen many strategic blunders and extraordinary learning curves along the way.
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Just general advice on how to survive
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Superminds
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Many people today are so dazzled by the long-term potential for artificial intelligence that they overlook the much clearer and more immediate potential for a new form of "collective intelligence": the intelligence of groups of people and computers working together. In Superminds, Thomas Malone explains what we need to do to take advantage of this potential. Groundbreaking and utterly fascinating, Superminds will change the way you work - both with others and with computers - for the better.
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"Why did a Kenyan immigrant win the 2008 election"
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The Intelligent Web
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As we use the Web for social networking, shopping, and news, we leave a personal trail. These days, linger over a Web page selling lamps, and they will turn up at the advertising margins as you move around the Internet, reminding you, tempting you to make that purchase. Search engines such as Google can now look deep into the data on the Web to pull out instances of the words you are looking for. And there are pages that collect and assess information to give you a snapshot of changing political opinion.
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Great book for learning about Deep learning
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Algorithms
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BEWARE - No accompanying PDF!
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What listeners say about Computational Thinking
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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- Philo
- 05-19-19
A grand tour, in plain terms
I wish this book had arrived earlier, before I launched on a fragmented groping through many other titles in my attempt to cobble this subject together, and comprehend an end-to-end overview, which this one masterfully presents. This book spans the entire subject and is very well-thought, well-edited and geared to the more non-technical listener. (That has not been true of all the MIT titles. The one on auctions, for example, got pretty technical pretty fast.) Despite knowing a great deal of this, in fragments, I benefit from this title pulling all the strands and the context together, from computing history to its logic and languages and technologies. It has heaps of context and connections across the topic, instilling a true literacy.
The narrator is competent but too close to a whisper for my tastes.
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- oj
- 04-12-24
Articulate summary of computation
Comprehensive and said simply. The author covers the important moments in our computational advancement and education. The computer narration is impressive. I was surprised to learn how long it has been experimented with in education. I knew that software engineering is hard. But this book implies that the solving world’s problems depends on our ability to advance computational problem solving.
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- Kico M
- 02-04-24
Ok
This is an ok book, no more than this. Perhaps I had the wrong expectation that the book would bring CT concepts and how to develop this mindset and approach. However the book is more about the history of CT and the relevance and progress of its educational adoption.
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- Douglas Allen
- 03-09-23
Reader needs a bit more energy
Overall this book covers a broad range and history of computers, calculation, and software, which is interesting.
The narrator needs more energy, and there are some Greek character mispronunciations.
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- Jack Frasier
- 09-15-20
quite good overview
quite a good overview of computational thinking, but dont expect detailed explanations of actual concepts.
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- Kindle Customer
- 04-06-21
Too slow, repetitive for professional programmers
We just aren't the intended audience. This is more directed at other professionals who wonder how programming might impact their fields and lives.
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2 people found this helpful