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Computer Architecture

Coursera · Princeton University · 1 HN points · 8 HN comments

HN Academy has aggregated all Hacker News stories and comments that mention Coursera's "Computer Architecture" from Princeton University.
Course Description

In this course, you will learn to design the computer architecture of complex modern microprocessors.

All the features of this course are available for free. It does not offer a certificate upon completion.

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This course is offered by Princeton University on the Coursera platform.
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Hacker News Stories and Comments

All the comments and stories posted to Hacker News that reference this url.
At my university CA: AQA was used as the text for the second course in computer architecture. The first course in computer architecture used this book: https://www.amazon.com/Computer-Organization-Design-Fourth-A....

If you do get around to reading CA: AQA, you can follow along with this Coursera course (it's taught by the professor I had when I took it at Princeton, and he does a great job teaching it): https://www.coursera.org/learn/comparch

gargarplex
I don't have enough patience for courses. I sort of scan the material for what I really need or want to learn and ignore what's not interesting to me. I can make consistent A's with the benefit of Adderall, but I don't feel comfortable with that.

Your recommendation was very useful and interesting to me, and I bought the paperback. I was surprised that it was cheaper to buy a used paperback than to rent it via Kindle for a month.

interrupts in out-of-order processors were the topic of last's week coursera comparch course https://www.coursera.org/learn/comparch - nice to see the discussion for a smaller machine
For those unaware, Coursera shutdown their old platform on Jun 30th [1].

Many of the courses on the old platform are slowly coming back on the new platform. When I built the list [2] of courses on the old platform the course count was 472, now its around 390. Some of the notables that I was excited to see come back are:

Neural Networks for Machine Learning with Geoffrey Hinton [3]

Computer Architecture from Princeton [4]

Programming Languages from UW by Dan Grossman [5]

Introduction to Natural Language Processing by Dragomir Radev [6]

Many of these courses were last offered a couple of years ago. Hopefully more courses form the list [2] start coming back.

[1] https://www.class-central.com/report/coursera-old-platform-s...

[2] https://www.class-central.com/collection/coursera-old-stack-...

[3] https://www.coursera.org/learn/neural-networks

[4] https://www.coursera.org/learn/comparch

[5] https://www.coursera.org/learn/programming-languages

[6] https://www.coursera.org/learn/natural-language-processing

Well we can't use those. But, for another commenter, I just found this:

https://www.coursera.org/course/comparch

Maybe check it out and see if you'd recommend it. A qualified opinion would help me know if I should just post it next time topic comes up.

Hmm. You have a point. I get a lot of what he's saying but some is certainly unclear. And, damnit, despite many good links he doesn't seem to have anything like that anywhere. (sighs) So, we have one solid critique of this page.

Should at least update it with speaker's notes. I always distributed those with my PowerPoints just in case they landed on a new audience not possessing innate, psychic abilities. I heard that happens on occasion.

Like Coursera, eh? Here you go:

https://www.coursera.org/course/comparch

References same textbook. Might help you and others with similar trouble with these notes.

After you get past the components, some computer architecture will do you good. See eg https://www.coursera.org/course/comparch. There's also the classic Hennessy & Patterson book.
I'd recommend this course: https://www.coursera.org/course/comparch

If you're too advanced for this, I'd consider writing some behavioral VHDL or Verilog for a few of the units to see how a few of the pieces fit together.

Sep 20, 2013 · 1 points, 0 comments · submitted by luu
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