Scott Young completed the four-year MIT computer science degree curriculum in less than one year. This is a post about how he did it.
During the yearlong pursuit, I perfected a method for peeling those layers of deep understanding faster. I’ve since used it on topics in math, biology, physics, economics and engineering. With just a few modifications, it also works well for practical skills such as programming, design or languages.
Here’s the basic structure of the method:
- Coverage
- Practice
- Insight
Crunch time motivation is very high quality and not trivially replicated. So I'd be impressed if you managed to pull this off in practice.
(BTW, I recommend students plan to do things during crunch time by default, or at least experiment with this. You're going to have an extremely high-quality source of motivation if you just wait a while--why not take advantage of it? If you want to work, and you have no imminent deadlines, either work on whatever you feel like working on AutoFocus-style or, if your energy level is high enough, work on some independent project that has no deadline--your opportunity costs are lower this way.)
Oh no. Now I have a perfect, bulletproof excuse, that I actually buy, for my habit of procrastinating so badly with assignments that I typically end up doing them in a modafinil-powered all nighter on the night before they're due.
John_Maxwell_IV, what have you done?