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Their link to "Computer Architecture: A Quantitative Approach (5th edition)" (https://booksite.elsevier.com/9780123838728/references.php https://booksite.elsevi

Their link to "Computer Architecture: A Quantitative Approach (5th edition)" (https://booksite.elsevier.com/9780123838728/references.php https://booksite.elsevier.com/9780123838728/references.php) is broken. Here's a couple more [1],[2]. I'm also surprised Jeff Erickson's free lecture notes [3] aren't there given 1) its easy to remember domain 2) its incredibly high, practical quality. Practical because I've had interviews that just grab questions from the book, and also because his course is basically just a walk-through of the book. It's also very easy to read, and although I didn't do great in his class, his conceptual lessons still stick with me. [1] http://acs.pub.ro/~cpop/SMPA/Computer%20Architecture%20A%20Quantitative%20Approach%20(5th%20edition).pdf http://acs.pub.ro/~cpop/SMPA/Computer%20Architecture%20A%20Q... [2] https://github.com/Seanforfun/Books/blob/master/Computer/Computer%20Architecture%20-%20A%20Quantitative%20Approach%20(Fifth%20Edition).pdf https://github.com/Seanforfun/Books/blob/master/Computer/Com... [3] http://algorithms.wtf http://algorithms.wtf

james_white 6y ago
Couldn't recommend Jeff Erickson's lecture notes more for algorithms, DP, and the like. I too did rather poorly in the class so you're not alone! In a similar vein, Lawrence Angrave, a systems programming lecturer, has a wonderful crowd-sourced "book" [1] on all things systems programming. It is my go to resource for brushing up on these topics. Lastly, David Forsyth, a statistics/applied ML lecturer has a gold mine of a book for diving into ML and difficult concepts that come with it [2]. [1] https://github.com/angrave/SystemProgramming/wiki https://github.com/angrave/SystemProgramming/wiki [2] http://luthuli.cs.uiuc.edu/~daf/courses/AML-18/learning-book-19-April-18.pdf http://luthuli.cs.uiuc.edu/~daf/courses/AML-18/learning-book...
- awnguyen 6y ago
  Sometimes I’m wondering why U of I doesn’t have a bigger presence in the online learning world, other than net math. The material is great.
  - willhslade 6y ago
    Illinois is going bankrupt to the degree that it’s affecting the U of I. They do, however, have both an iMBA and a masters in CS through coursera.
david38 6y ago
Jeff was one of my favorite teachers. He made algorithms and proofs fun, even if you didn’t get an A.

james_white 6y ago

Couldn't recommend Jeff Erickson's lecture notes more for algorithms, DP, and the like. I too did rather poorly in the class so you're not alone! In a similar vein, Lawrence Angrave, a systems programming lecturer, has a wonderful crowd-sourced "book" [1] on all things systems programming. It is my go to resource for brushing up on these topics. Lastly, David Forsyth, a statistics/applied ML lecturer has a gold mine of a book for diving into ML and difficult concepts that come with it [2]. [1] https://github.com/angrave/SystemProgramming/wiki https://github.com/angrave/SystemProgramming/wiki [2] http://luthuli.cs.uiuc.edu/~daf/courses/AML-18/learning-book-19-April-18.pdf http://luthuli.cs.uiuc.edu/~daf/courses/AML-18/learning-book...

awnguyen 6y ago
Sometimes I’m wondering why U of I doesn’t have a bigger presence in the online learning world, other than net math. The material is great.
- willhslade 6y ago
  Illinois is going bankrupt to the degree that it’s affecting the U of I. They do, however, have both an iMBA and a masters in CS through coursera.

david38 6y ago

Jeff was one of my favorite teachers. He made algorithms and proofs fun, even if you didn’t get an A.