@aigleeson: MIT'S PROBLEM-SOLVING TEXTBOOK IS FREE, AND IT BEATS EVERY PRODUCTIVITY COURSE EVER SOLD A physicist named Sanjoy Mahaj…

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MIT physicist Sanjoy Mahajan's textbook 'The Art of Insight in Science and Engineering' is available for free on MIT OpenCourseWare, teaching nine mental tools for tackling complex problems effectively.

MIT'S PROBLEM-SOLVING TEXTBOOK IS FREE, AND IT BEATS EVERY PRODUCTIVITY COURSE EVER SOLD A physicist named Sanjoy Mahajan spent 15 years teaching MIT, Cambridge, and Olin students one thing: how to crack hard problems without drowning in them. The book is called "The Art of Insight in Science and Engineering," and MIT gives it away for free. Here are the 9 thinking tools the book actually teaches: 1. Divide and conquer Never attack a giant problem head-on. Split it into pieces small enough to estimate, solve each, and recombine. Most people freeze at the size of a problem. Mahajan teaches you to make it smaller until it stops being scary. 2. Dimensional analysis Before you calculate anything, check what units the answer has to be in. The units alone often hand you the shape of the answer and catch errors instantly. The fastest sanity check in existence, and almost nobody uses it. 3. Reasoning by extreme cases Push the problem to its limits. What happens if the number goes to zero? To infinity? The extremes are easy to picture, and they pin down the behavior in the messy middle. A way to feel out an answer before you can prove it. 4. Lumping Replace a complicated curve or messy shape with a single rough block that captures the gist. You lose a little accuracy and gain enormous clarity. The skill of throwing away the right detail at the right moment. 5. Probabilistic reasoning When you can't know something exactly, estimate it with odds instead of pretending you need certainty. Most real decisions live here, in the space between "I know" and "I have no idea." 6. Easy cases Before solving the hard version, solve the easy version first and let it guide you. If your method can't handle the simple case, it was never going to handle the hard one. 7. Analogy Map an unfamiliar problem onto one you already understand. The structure carries over even when the surface looks completely different. Mahajan treats analogy as a precision instrument, not a vague hunch. 8. Spring models and proportional reasoning Instead of memorizing formulas, reason about how one thing scales when another changes. Double this, what happens to that. Understanding relationships beats memorizing equations every time. 9. Discarding information on purpose The deepest move in the book. Mahajan splits all simplification into two kinds: organizing complexity, and deliberately throwing some away. Knowing exactly what you can afford to lose is the whole art. Where to get it free. The full book is on MIT OpenCourseWare as course RES.6-011, released under a Creative Commons license. The complete online textbook, every chapter, every problem. No signup, no payment, no catch. His earlier book, "Street-Fighting Mathematics," is free on OCW too. https://ocw.mit.edu/courses/res-6-011-the-art-of-insight-in-science-and-engineering-mastering-complexity-fall-2014/download/… The self-help industry sells you systems for managing your tasks. This MIT physicist gives you a system for managing reality. One of them is free, and it's the better one.
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MIT’S PROBLEM-SOLVING TEXTBOOK IS FREE, AND IT BEATS EVERY PRODUCTIVITY COURSE EVER SOLD

A physicist named Sanjoy Mahajan spent 15 years teaching MIT, Cambridge, and Olin students one thing: how to crack hard problems without drowning in them.

The book is called “The Art of Insight in Science and Engineering,” and MIT gives it away for free.

Here are the 9 thinking tools the book actually teaches:

  1. Divide and conquer

Never attack a giant problem head-on. Split it into pieces small enough to estimate, solve each, and recombine. Most people freeze at the size of a problem. Mahajan teaches you to make it smaller until it stops being scary.

  1. Dimensional analysis

Before you calculate anything, check what units the answer has to be in. The units alone often hand you the shape of the answer and catch errors instantly. The fastest sanity check in existence, and almost nobody uses it.

  1. Reasoning by extreme cases

Push the problem to its limits. What happens if the number goes to zero? To infinity? The extremes are easy to picture, and they pin down the behavior in the messy middle. A way to feel out an answer before you can prove it.

  1. Lumping

Replace a complicated curve or messy shape with a single rough block that captures the gist. You lose a little accuracy and gain enormous clarity. The skill of throwing away the right detail at the right moment.

  1. Probabilistic reasoning

When you can’t know something exactly, estimate it with odds instead of pretending you need certainty. Most real decisions live here, in the space between “I know” and “I have no idea.”

  1. Easy cases

Before solving the hard version, solve the easy version first and let it guide you. If your method can’t handle the simple case, it was never going to handle the hard one.

  1. Analogy

Map an unfamiliar problem onto one you already understand. The structure carries over even when the surface looks completely different. Mahajan treats analogy as a precision instrument, not a vague hunch.

  1. Spring models and proportional reasoning

Instead of memorizing formulas, reason about how one thing scales when another changes. Double this, what happens to that. Understanding relationships beats memorizing equations every time.

  1. Discarding information on purpose

The deepest move in the book. Mahajan splits all simplification into two kinds: organizing complexity, and deliberately throwing some away. Knowing exactly what you can afford to lose is the whole art.

Where to get it free.

The full book is on MIT OpenCourseWare as course RES.6-011, released under a Creative Commons license. The complete online textbook, every chapter, every problem. No signup, no payment, no catch. His earlier book, “Street-Fighting Mathematics,” is free on OCW too.

https://ocw.mit.edu/courses/res-6-011-the-art-of-insight-in-science-and-engineering-mastering-complexity-fall-2014/download/…

The self-help industry sells you systems for managing your tasks. This MIT physicist gives you a system for managing reality. One of them is free, and it’s the better one.


Resources | The Art of Insight in Science and Engineering: Mastering Complexity | Electrical Engineering and Computer Science | MIT OpenCourseWare

Source: https://ocw.mit.edu/courses/res-6-011-the-art-of-insight-in-science-and-engineering-mastering-complexity-fall-2014/download/

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