Add Algorithms by Robert Sedgewick on the basis that it's a freely available book from a reputable institution (it's the textbook for the Princeton Coursera courses). That being said, I haven't had the chance of reading the book so I can't personally comment on its quality.
* Updated the links for books that have a newer edition. I have included the authors' home page for the book where possible.
* Updated some titles to reflect the linked edition. I have maintained the original format (``2e`` for the books in the ``Programming`` section ``(2nd Edition)`` for the books in the other sections). Unifying the format could be something to consider.
* Changed link to Effective Thinking Through Mathematics course in extras
* Delete .DS_Store
Co-authored-by: Jonathan Hustad <jonathanhustad@Jonathans-iMac.lan>
Co-authored-by: waciumawanjohi <waciumawanjohi@users.noreply.github.com>
Removed Sheldon Axler's "Linear Algebra Done Right (FREE)" because it is no longer free after the end of July 2020. It was made free temporarily due to COVID-19.
Prerequisite for both is CS1-2. Either course (Berkeley and Carnegie Mellon) is suitable as an alternative to nand2tetris and/or 6.004 as the required course of choice for Computer Architecture/Organization. The Princeton course that's already here would have one of these 4 courses as a prerequisite and is suitable as an elective.
This books contains easy to understand introduction to the automata theory, which is missing in "Introduction to computing" book by David Evans. It does not require complicated math, so it can be useful to students who do not want to become theoretical computer scientists, but want do have general understanding of it's topics. Also, it almost perfectly matches The Automata Theory course we have in the curriculum.
This is probably the best introduction to computer systems for programmers. It contains all needed essentials of computer architecture, describes how C language works internally (e.g. how data structures are organized in memory and managed on machine language level) and even describes essentials of operating systems.
GTx CS1301, "Computing In Python" is proposed as a supplemental course in the OSSU curriculum and as a potential future candidate for the Introduction to Computer Science course. It is an online-adapted version of the on-campus Introduction to Computing course for Georgia Tech computer science students. The online version is comprised of four parts, delivered on-demand via edX. The course is self-paced with 16 weeks of effort, and is 100% free to audit with all materials included. It covers all introductory CS topics discussed in MIT 6.00.1x from a language-agnostic perspective, while providing additional instruction and support in learning Python as a language. Students who complete this course will have an understanding of basic CS topics **and** a working knowledge of Python 3 they can immediately apply to interesting problems.
