-
+ {{ content }}
+
+
+
+Open Source Society University
+Path to a free self-taught education in Computer Science!
-+
++
+Path to a free self-taught education in Computer Science!
-+
+
`
-- Use our [community](#community) channels to announce it to your fellow students.
-
-Solicit feedback from your OSSU peers.
-You will not be "graded" in the traditional sense — everyone has their own measurements for what they consider a success.
-The purpose of the evaluation is to act as your first announcement to the world that you are a computer scientist
-and to get experience listening to feedback — both positive and negative.
-
-The final project evaluation has a second purpose: to evaluate whether OSSU,
-through its community and curriculum, is successful in its mission to guide independent learners in obtaining a world-class computer science education.
-
-### Cooperative work
-
-You can create this project alone or with other students!
-**We love cooperative work**!
-Use our [channels](#community) to communicate with other fellows to combine and create new projects!
-
-### Which programming languages should I use?
-
-My friend, here is the best part of liberty!
-You can use **any** language that you want to complete the final project.
-
-The important thing is to **internalize** the core concepts and to be able to use them with whatever tool (programming language) that you wish.
-
## Congratulations
-After completing the requirements of the curriculum above, you will have completed the equivalent of a full bachelor's degree in Computer Science. Congratulations!
+After completing the requirements of the curriculum above,
+you will have completed the equivalent of a full bachelor's degree in Computer Science.
+Congratulations!
What is next for you? The possibilities are boundless and overlapping:
@@ -484,33 +440,14 @@ What is next for you? The possibilities are boundless and overlapping:
+ Explore **borrowing and lifetimes** through [Rust](https://www.rust-lang.org/), a systems language which achieves memory- and thread-safety without a garbage collector!
+ Explore **dependent type systems** through [Idris](https://www.idris-lang.org/), a new Haskell-inspired language with unprecedented support for type-driven development.
-
+
# Code of conduct
[OSSU's code of conduct](https://github.com/ossu/code-of-conduct).
## How to show your progress
-1. Create an account in [Trello](https://trello.com/).
-1. Copy [this](https://trello.com/b/IScNSzsI/ossu-compsci) board to your personal account.
-See how to copy a board [here](https://help.trello.com/article/802-copying-cards-lists-or-boards).
-
-Now that you have a copy of our official board, you just need to pass the cards to the `Doing` column or `Done` column as you progress in your study.
-
-We also have **labels** to help you have more control through the process.
-The meaning of each of these labels is:
-
-- `Main Curriculum`: cards with that label represent courses that are listed in our curriculum.
-- `Extra Resources`: cards with that label represent courses that were added by the student.
-- `Doing`: cards with that label represent courses the student is currently doing.
-- `Done`: cards with that label represent courses finished by the student.
-Those cards should also have the link for at least one project/article built with the knowledge acquired in such a course.
-- `Section`: cards with that label represent the section that we have in our curriculum.
-Those cards with the `Section` label are only to help the organization of the Done column.
-You should put the *Course's cards* below its respective *Section's card*.
-
-The intention of this board is to provide our students a way to track their progress, and also the ability to show their progress through a public page for friends, family, employers, etc.
-You can change the status of your board to be *public* or *private*.
+[Fork](https://www.freecodecamp.org/news/how-to-fork-a-github-repository/) the [GitHub repo](https://github.com/ossu/computer-science) into your own GitHub account and put ✅ next to the stuff you've completed as you complete it. This can serve as your [kanban board](https://en.wikipedia.org/wiki/Kanban_board) and will be faster to implement than any other solution (giving you time to spend on the courses).
# Team
diff --git a/_config.yml b/_config.yml
new file mode 100644
index 000000000..958199ef9
--- /dev/null
+++ b/_config.yml
@@ -0,0 +1,8 @@
+title: Computer Science
+remote_theme: "jekyll/minima@7d91bb5"
+minima:
+ skin: auto
+ nav_pages:
+ - FAQ.md
+ - HELP.md
+include: ['CONTRIBUTING.md']
diff --git a/_includes/custom-head.html b/_includes/custom-head.html
new file mode 100644
index 000000000..5081f570f
--- /dev/null
+++ b/_includes/custom-head.html
@@ -0,0 +1,3 @@
+
+
+
\ No newline at end of file
diff --git a/_includes/footer.html b/_includes/footer.html
new file mode 100644
index 000000000..01b2469fc
--- /dev/null
+++ b/_includes/footer.html
@@ -0,0 +1,17 @@
+
diff --git a/_includes/nav-items.html b/_includes/nav-items.html
new file mode 100644
index 000000000..677373ff1
--- /dev/null
+++ b/_includes/nav-items.html
@@ -0,0 +1,7 @@
+{%- for path in include.paths -%}
+ {%- assign hyperpage = site.pages | where: "path", path | first -%}
+ {%- if hyperpage.title %}
+ {{ hyperpage.title | escape }}
+ {%- endif -%}
+{%- endfor -%}
+GitHub
diff --git a/_layouts/page.html b/_layouts/page.html
new file mode 100644
index 000000000..43851a089
--- /dev/null
+++ b/_layouts/page.html
@@ -0,0 +1,10 @@
+---
+layout: base
+---
+
+
+- You can enable automatic closing of parentheses, brackets, and quotes. Click on Edit in the Menu Bar > Preferences > Go to Editing Tab > Go to General Editing Sub-tab > Check the "Enable automatic parentheses, square brackets, and quotes" checkbox.
+
+
+
+- You can use Ctrl + I to reindent the whole file.
+
+- If you are on Windows or Linux, use Alt + Backspace to delete whole words.
+
+- If you are unable to watch the videos on Edx for some reason, you can watch them on [this youtube channel](https://www.youtube.com/@systematicprogramdesign7962/playlists).
+
+## FAQ
+
+### This course is boring. Can I skip it?
+
+**No.** This course may seem boring at first, but we suggest working though it. This is a great course, and it will probably change the way you think. Many students who found this course boring at first became a fan of the course by the time they completed it. Be very careful. The early parts (especially the rules about how evaluation works) plays a huge role in understanding how code works and gets executed for the rest of the course.
+
+### Why is this course taught using BSL? Would it not make more sense to teach it in an industry standard language?
+
+This is an intentional choice, and here's why:
+
+1. Lisp is the lingua franca of computer scientists -- by which we mean, PhD algorithm researchers. There are some good and some merely historical reasons for this, but it's a fact of life, so if you want to read white papers you're going to want to read Lisp. BSL is a good introduction, and frankly once you get over the parenthesis hell and once you know any Lisp you know how to read them all.
+
+2. This is the first computer science course in most people's curricula that isn't centered around teaching you how to use a language. Because the point of computer science isn't to teach you a language. Or to teach you to code. Or to teach you to be a fullstack software engineer. Computer Science is a very narrowly-applied applied math with wide-ranging practical usage. But if you strip away all the qualifying language, it's math. Which means it has certain overarching rules that are completely, totally independent of your implementation language.
+
+This course is built in a throwaway student language, specifically so you don't focus on the language and instead focus on what you're doing with the language. We don't care about public static void main or PEP8 style. We want to see ways to structure a program in any language. So we focus not on the things that make Java unique, and not on the things that make Python unique, and instead focus on the things that make code better.
+
+It might seem rough to learn a new language just to take this course, but BSL frees you from having to worry about style linting or runtime issues or code compartmentalization or compiling or coding environment. It's a gift. Take it. The design patterns are hard enough.
+
+### Why there are different course versions, HTC, SPD? Why do you recommend the archived version?
+
+There are two reasons people do these courses:
+
+- The Knowledge
+- The Certificate
+
+OSSU assumes you're in it for the knowledge. You can have that for free. If you're doing it for the knowledge you don't need to submit your homework. You just need to do the homework.
+
+If you want the recognition that you've done the thing, then you're in it for the certificate. You can't have the certificate for free. You have to pay for that.
+
+There's no reason for you to submit homework sets unless you're doing it for the certificate -- If you're doing that, you can't actually get a certificate from the SPD course (because the course is expired) so you're in the wrong place.
+
+If you want a certificate, then you need to take How To Code and you need to pay for it.
+
+But you don't need to pay for anything in OSSU. We suggest you take SPD because the access to the information is better (because the course is expired) and it's more than sufficient for obtaining the knowledge.
+
+TL;DR:
+
+ If you're in it for the knowledge, take SPD -- it's free but inactive
+ If you're in it for the certificate, take and pay for How To Code -- it's still an active course
+
+### Can I do this course in another programming language?
+
+This course has really integrated with the programming languages it uses. We suggest you to use the language specified by the course. While, the concepts you learn from this course are applicable anywhere, trying to do the course with another language is not really sensible, and would just lead to wastage of time.
+
+### Can I use another IDE? I don't like Dr. Racket.
+
+The programs in this course embed pictures and rich-text blocks in the code, which means, the files cannot be opened by other IDEs. While it is possible to prepare the starter files for use with other IDEs, you need Dr. Racket for that, and the time needed to do that can be better utilized in learning the concepts taught by the course.
+
+### How do I test functions which are supposed to output random values?
+
+You can use `check-random` to test those functions. You can [learn more about it here](https://docs.racket-lang.org/htdp-langs/beginner-abbr.html#(form._((lib._lang%2Fhtdp-beginner-abbr..rkt)._check-random))). It is needed for the Space Invaders project.
+
+## Credits
+
+The problem starter files and the space invaders instructions were taken from the course ["Systematic Program Design" on Edx](https://learning.edx.org/course/course-v1:UBCx+SPD1x+2T2015), licensed under [CC BY-NC-SA](https://creativecommons.org/licenses/by-nc-sa/4.0/) license.
diff --git a/coursepages/spd/automatic-parentheses.png b/coursepages/spd/automatic-parentheses.png
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diff --git a/extras/courses.md b/extras/courses.md
index e8a2e3a86..862278105 100644
--- a/extras/courses.md
+++ b/extras/courses.md
@@ -9,7 +9,7 @@ or that there was an alternative that fit better into the curriculum.
Courses | Duration | Effort
:-- | :--: | :--:
[Introduction to Computational Thinking and Data Science](https://www.edx.org/course/introduction-computational-thinking-data-mitx-6-00-2x-2#!)([alt](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0002-introduction-to-computational-thinking-and-data-science-fall-2016/))| 10 weeks | 15 hours/week
-[Introduction to Computer Science - CS50](https://www.edx.org/course/introduction-computer-science-harvardx-cs50x#!) ([alt](https://cs50.harvard.edu/)) | 12 weeks | 10-20 hours/week
+[Introduction to Computer Science - CS50](https://www.edx.org/course/introduction-computer-science-harvardx-cs50x#!) ([alt](https://cs50.harvard.edu/x/)) | 12 weeks | 10-20 hours/week
[Introduction to Computer Science (Udacity)](https://www.udacity.com/course/intro-to-computer-science--cs101)| 7 weeks | 10-20 hours/week
[An Introduction to Interactive Programming in Python (Part 1)](https://www.coursera.org/learn/interactive-python-1)| 5 weeks | -
[An Introduction to Interactive Programming in Python (Part 2)](https://www.coursera.org/learn/interactive-python-2)| - | -
@@ -29,30 +29,33 @@ Courses | Duration | Effort
Courses | Duration | Effort
:-- | :--: | :--:
-[Effective Thinking Through Mathematics](https://learning.edx.org/course/course-v1:UTAustinX+UT.9.10x+3T2016/home) | 4 weeks | 2 hours/week
+[Effective Thinking Through Mathematics](https://www.edx.org/course/effective-thinking-through-mathematics-2) | 4 weeks | 2 hours/week
[Introduction to Mathematical Thinking](https://www.coursera.org/learn/mathematical-thinking) | 10 weeks | 10 hours/week
[High School Math](https://www.khanacademy.org/math/high-school-math) | - | -
[Precalculus](https://www.futurelearn.com/courses/precalculus) | 5 weeks | 6 hours/week
[Advanced Precalculus](https://www.futurelearn.com/courses/advanced-precalculus) | 4 weeks | 5 hours/week
+[Calculus Applied!](https://www.edx.org/course/calculus-applied) | 10 Weeks | 6hours/week
[Introduction to Probability and Data](https://www.coursera.org/learn/probability-intro)| - | -
[Linear Algebra (Strang)](https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/index.htm) | - | -
[Introduction to Computational Thinking](https://computationalthinking.mit.edu/Spring21/#introduction_to_computational_thinking) | - | -
[Multivariable Calculus](https://ocw.mit.edu/courses/mathematics/18-02sc-multivariable-calculus-fall-2010/index.htm) | 13 weeks | 12 hours/week
[Introduction to Probability - The Science of Uncertainty](https://www.edx.org/course/introduction-probability-science-mitx-6-041x-2) | 18 weeks | 12 hours/week | [Multivariable Calculus](https://ocw.mit.edu/courses/mathematics/18-02sc-multivariable-calculus-fall-2010/index.htm)
+[Matrix Methods In Data Analysis, Signal Processing, And Machine Learning](https://ocw.mit.edu/courses/18-065-matrix-methods-in-data-analysis-signal-processing-and-machine-learning-spring-2018/) | - | -
## Systems
Courses | Duration | Effort
:-- | :--: | :--:
[Cloud Computing / Distributed Programming](https://www.coursera.org/learn/cloud-computing) | 5 weeks | 5-10 hours/week
-[Introduction to Parallel Programming](https://classroom.udacity.com/courses/cs344) ([alt](https://www.youtube.com/playlist?list=PLGvfHSgImk4aweyWlhBXNF6XISY3um82_)) ([HW](https://colab.research.google.com/github/depctg/udacity-cs344-colab))| 12 weeks | 8-10 hours/week
+[Introduction to Parallel Programming](https://www.udacity.com/course/--cs344) ([alt](https://www.youtube.com/playlist?list=PLGvfHSgImk4aweyWlhBXNF6XISY3um82_)) ([HW](https://colab.research.google.com/github/depctg/udacity-cs344-colab))| 12 weeks | 8-10 hours/week
[Intro to Computer Systems](http://www.cs.cmu.edu/afs/cs.cmu.edu/academic/class/15213-f15/www/) ([Labs](http://csapp.cs.cmu.edu/3e/labs.html)) | 15 weeks | 12 hours/week
-[Great Ideas in Computer Architecture (Machine Structures)](https://inst.eecs.berkeley.edu/~cs61c/fa14/) ([Lectures](https://archive.org/details/ucberkeley_webcast_itunesu_915550404)) | 15 weeks | 12 hours/week
+[Great Ideas in Computer Architecture (Machine Structures)](https://web.archive.org/web/20190919235114/https://inst.eecs.berkeley.edu/~cs61c/fa14/) ([Lectures](https://archive.org/details/ucberkeley_webcast_itunesu_915550404)) | 15 weeks | 12 hours/week
[Computer Architecture](https://www.coursera.org/learn/comparch) | - | 5-8 hours/week
[Operating System Engineering](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-828-operating-system-engineering-fall-2012/) | - | -
-[Introduction to Operating Systems](https://www.udacity.com/course/introduction-to-operating-systems--ud923)| 8 weeks | 5-8 hours/week
-[Advanced Operating Systems](https://www.udacity.com/course/advanced-operating-systems--ud189)| 5 weeks | 5-8 hours/week
-[Computer Networking](https://www.udacity.com/course/computer-networking--ud436) | 12 weeks | 5-8 hours/week
+[Introduction to Operating Systems](https://www.udacity.com/course/operating-systems--ud923)| 8 weeks | 5-8 hours/week
+[Advanced Operating Systems](https://www.udacity.com/course/ai-deep-learning--ud189)| 5 weeks | 5-8 hours/week
+[Networking for Web Developers](https://www.udacity.com/course/computer-networking--ud436) | 12 weeks | 5-8 hours/week
+Distributed Systems - [Playlist](https://www.youtube.com/playlist?list=PLrw6a1wE39_tb2fErI4-WkMbsvGQk9_UB), [Course site](http://nil.csail.mit.edu/6.824/2020/schedule.html), [Self-studying 6.824](https://lieuzhenghong.com/mit_6.824_self_study/) [6.824 Discord group for further help](https://discord.gg/KbhkEqpBqC) | - | -
## Theory
@@ -69,13 +72,14 @@ Courses | Duration | Effort
[Statistical Mechanics: Algorithms and Computations](https://www.coursera.org/learn/statistical-mechanics/) | - | -
[Approximation Algorithms Part I](https://www.coursera.org/learn/approximation-algorithms-part-1/) | - | -
[Approximation Algorithms Part II](https://www.coursera.org/learn/approximation-algorithms-part-2/) | - | -
+[Design And Analysis Of Algorithms](https://ocw.mit.edu/courses/6-046j-design-and-analysis-of-algorithms-spring-2015/) | - | -
## Applications
Courses | Duration | Effort
:-- | :--: | :--:
[Using Databases with Python](https://www.coursera.org/learn/python-databases) | 5 weeks | 2-3 hours/week
-[Database Systems](https://scs.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx#folderID=%22ed2ee867-9610-4bad-94af-5d12c2ea47cd%22) | - | 27 hours
+[Database Systems](https://15721.courses.cs.cmu.edu/spring2016/) | 15 weeks | 12 hours/week
[Database Management Essentials](https://www.coursera.org/learn/database-management) | 7 weeks | 4-6 hours/week
[Intro to Artificial Intelligence](https://www.udacity.com/course/intro-to-artificial-intelligence--cs271)| 16 weeks | 6-10 hours/week
[Intro to Machine Learning](https://www.udacity.com/course/intro-to-machine-learning--ud120)| 10 weeks | 6-10 hours/week
@@ -86,7 +90,7 @@ Courses | Duration | Effort
Courses | Duration | Effort
:-- | :--: | :--:
-[How to Use Git and GitHub](https://www.udacity.com/course/how-to-use-git-and-github--ud775) | 3 weeks | 2-3 hours/week
+[How to Use Git and GitHub](https://www.udacity.com/blog/2015/06/a-beginners-git-github-tutorial.html) | 3 weeks | 2-3 hours/week
[Kubernetes Certified Application Developer](https://www.udemy.com/course/certified-kubernetes-application-developer/) | 5 weeks | 2 hours/week
diff --git a/extras/readings.md b/extras/readings.md
index 1f6d2d83d..cf072ce77 100644
--- a/extras/readings.md
+++ b/extras/readings.md
@@ -14,7 +14,8 @@ Name | Author(s)
[Introduction to Computation and Programming Using Python 3e](https://mitpress.mit.edu/books/introduction-computation-and-programming-using-python-third-edition) | John V. Guttag
[Think Python 2e](http://greenteapress.com/wp/think-python-2e/) | Allen B. Downey
[How to Design Programs 2e](https://www.htdp.org/) | Matthias Felleisen, Robert Bruce Findler, Matthew Flatt, Shriram Krishnamurthi
-[Structure and Interpretation of Computer Programs 2e](https://mitpress.mit.edu/sites/default/files/sicp/full-text/book/book.html) | Hal Abelson, Jerry Sussman, Julie Sussman
+[Structure and Interpretation of Computer Programs 2e](https://mitpress.mit.edu/sites/default/files/sicp/full-text/book/book.html) | Hal Abelson, Jerry Sussman, Julie Sussman
+[The Structure and Interpretation of Computer Programs (2021, JavaScript)](https://sourceacademy.org/sicpjs/index) | Harold Abelson, Gerald Jay Sussman, Julie Sussman, Martin Henz, Tobias Wrigstad and Samuel Fang
[Concepts, Techniques, and Models of Computer Programming](https://www.amazon.com/gp/product/0262220695) | Peter Van Roy, Seif Haridi
[Design Patterns: Elements of Reusable Object-Oriented Software](https://www.amazon.com/Design-Patterns-Elements-Reusable-Object-Oriented/dp/0201633612) | Erich Gamma, Richard Helm, Ralph Johnson, John Vlissides
[Refactoring](https://www.refactoring.com/) | Martin Fowler
@@ -33,7 +34,7 @@ Name | Author(s)
[Calculus Made Easy](http://www.gutenberg.org/ebooks/33283) | Silvanus P. Thompson
[Ximera: Interactive Calculus Textbooks](https://ximera.osu.edu/) | [Ximera team](https://ximera.osu.edu/about/team)
[Discrete Mathematics with Applications (4th Edition)](http://www.amazon.com/Discrete-Mathematics-Applications-Susanna-Epp/dp/0495391328/) | Susanna S. Epp
-[Discrete Mathematics: An Open Introduction](http://discrete.openmathbooks.org/dmoi/) | Oscar Levin
+[Discrete Mathematics: An Open Introduction](https://discrete.openmathbooks.org/dmoi4/frontmatter.html) | Oscar Levin
[Applied Discrete Structures](http://faculty.uml.edu/klevasseur/ads2/) | Alan Doerr, Ken Levasseur
[Grinstead and Snell’s Introduction to Probability](https://math.dartmouth.edu/~prob/prob/prob.pdf) | Charles M. Grinstead, J. Laurie Snell
[Linear Algebra for Everyone](https://math.mit.edu/~gs/everyone/) | Gilbert Strang
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