7 | {{ content }}
8 |
9 |
10 | 
3 | Open Source Society University
4 |5 | Path to a free self-taught education in Computer Science! 6 |
7 | 15 |
79 |
80 | When attempting to enroll in such a course:
81 | - Click the blue "Enroll" or "Enroll Now" button.
82 | - A pop-up will appear.
83 | - **Do not click** "Start Free Trial", unless you do want to pay.
84 | - Find the text that says "Audit this course" at the bottom.
85 | - Click **Audit**.
86 |
87 | 
88 |
89 | ### Is it necessary to purchase the Verified Upgrade for edX courses?
90 |
91 | If you just want to watch the videos, it is never necessary for any edX course on our curriculum. Note that a number of edX courses only allow students to audit a course for the estimated number of weeks it takes to complete. Students should not begin a course until they are prepared to focus and complete the course.
92 |
93 | ### What are the alt links?
94 |
95 | Sometimes a course is on multiple platforms that are reasonably similar in quality so we have an alt or two linked in case the main one isn't being offered at the time or you prefer the other one. Both are just as good, go with whichever you prefer or whichever is available when you want to take the course.
96 |
97 | ### Why doesn't the curriculum cover/ignore topic X?
98 |
99 | You can read more about our curricular guidelines and the qualifications of the guidelines' authors [here](CURRICULAR_GUIDELINES.md). If you find a topic that is required by our guidelines and is not included in the curriculum, we should make a change! Read more about [contributing to a change](CONTRIBUTING.md).
100 |
101 | ### Why is the curriculum missing some pre-requisites?
102 |
103 | The curriculum assumes two things:
104 | - You are reasonably fluent in English.
105 | - You have gotten through a standard high school curriculum that included physics and pre-calculus.
106 |
107 | Without these assumptions, the curriculum would be out of control with trying to fill in your knowledge gaps.
108 | For those who want to study math pre-requisites, read more [here](#how-can-i-review-the-math-prerequisites)
109 |
110 | Of course, if you find that the curriculum is missing a pre-requisite for a course that isn't part of a normal high school curriculum, please let us know!
111 |
112 | ### Why require experience with a sizable project before the Software Engineering courses?
113 | Software engineering tries to solve the problem of dealing with large programs. Building a sizable program before taking the SE courses will help you understand what SE is trying to solve. We recommend the Jack-to-VM-code compiler project from the nand2tetris course because it's the first project in the curriculum that is complex enough to see value in an SE course. That said, any sizable project will do and can come from outside of the OSSU curriculum. The idea is that you've done some large enough project where the pieces started to feel unmanageable. This experience will expose pain points and lead to a better understanding of SE.
114 |
115 | ### How can I find a course on a particular subject?
116 | After completing Core CS, learners are ready to pursue computer science
117 | topics of their own interest. How can one find a course on a given topic?
118 | For MOOCs an excellent resource is [Class Central](https://www.classcentral.com/).
119 | For materials from university courses that are online (but not organized)
120 | into a MOOC, [awesome-courses](https://github.com/prakhar1989/awesome-courses) and
121 | [cs-video-courses](https://github.com/Developer-Y/cs-video-courses)
122 | are good resources. For textbooks, [Goodreads](https://www.goodreads.com/genres/computer-science)
123 | is a great platform for reader ratings and reviews.
124 | For learning a particular programming language or framework,
125 | [see this question](#what-is-a-good-course-to-learn-a-particular-language).
126 |
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/HELP.md:
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1 | # Getting help
2 | ## Check the FAQ!
3 | Please check our [Frequently Asked Questions](FAQ.md) to see if your question has been addressed.
4 | ## Ask in the chat room
5 | [](https://discord.gg/5pUhfpX) Join the OSSU [Discord server](https://discord.gg/5pUhfpX)! Discord is an online chat service, similar to Slack or IRC where you can chat with other students and get help.
6 | ### Specific problems
7 | If you need help successfully completing the content of a course or are having general technical difficulties, first reach out to the resources provided by the course (e.g. the course forum on Coursera, edX, etc). If you need additional help after that, post in Discord. **In your post, mention what steps you have already taken to try and solve the problem**.
8 | ### General problems
9 | If you have general problems with the program not specific to any course, such as preferring textbook-style learning over MOOCs, Discord is a good place to reach out to people who may have great suggestions. You might form a working group that makes the next improvement to OSSU CS! Read more about contributing [here](CONTRIBUTING.md).
10 |
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/LICENSE:
--------------------------------------------------------------------------------
1 | The MIT License (MIT)
2 |
3 | Copyright (c) 2015-2023 Open Source Society University
4 |
5 | Permission is hereby granted, free of charge, to any person obtaining a copy
6 | of this software and associated documentation files (the "Software"), to deal
7 | in the Software without restriction, including without limitation the rights
8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 |
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 |
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 |
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/README.md:
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1 |
3 | 5 | Path to a free self-taught education in Computer Science! 6 |
7 | 15 |
37 |
38 | - 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.
39 |
40 | 
41 |
42 | - You can use Ctrl + I to reindent the whole file.
43 |
44 | - If you are on Windows or Linux, use Alt + Backspace to delete whole words.
45 |
46 | ## FAQ
47 |
48 | ### This course is boring. Can I skip it?
49 |
50 | **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.
51 |
52 | ### Why is this course taught using BSL? Would it not make more sense to teach it in an industry standard language?
53 |
54 | This is an intentional choice, and here's why:
55 |
56 | 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.
57 |
58 | 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.
59 |
60 | 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.
61 |
62 | 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.
63 |
64 | ### Why there are different course versions, HTC, SPD? Why do you recommend the archived version?
65 |
66 | There are two reasons people do these courses:
67 |
68 | - The Knowledge
69 | - The Certificate
70 |
71 | 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.
72 |
73 | 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.
74 |
75 | 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.
76 |
77 | If you want a certificate, then you need to take How To Code and you need to pay for it.
78 |
79 | 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.
80 |
81 | TL;DR:
82 |
83 | If you're in it for the knowledge, take SPD -- it's free but inactive
84 | If you're in it for the certificate, take and pay for How To Code -- it's still an active course
85 |
86 | ### Can I do this course in another programming language?
87 |
88 | 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.
89 |
90 | ### Can I use another IDE? I don't like Dr. Racket.
91 |
92 | 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.
93 |
94 | ### How do I test functions which are supposed to output random values?
95 |
96 | 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.
97 |
98 | ## Credits
99 |
100 | 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.
101 |
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/extras/courses.md:
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1 | # Computer Science - Great Courses
2 |
3 | This is a list of high-quality courses that, for one reason or another, didn't make it into the curriculum.
4 | The most common reasons are that the course isn't available often enough,
5 | or that there was an alternative that fit better into the curriculum.
6 |
7 | ## Programming
8 |
9 | Courses | Duration | Effort
10 | :-- | :--: | :--:
11 | [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
12 | [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
13 | [Introduction to Computer Science (Udacity)](https://www.udacity.com/course/intro-to-computer-science--cs101)| 7 weeks | 10-20 hours/week
14 | [An Introduction to Interactive Programming in Python (Part 1)](https://www.coursera.org/learn/interactive-python-1)| 5 weeks | -
15 | [An Introduction to Interactive Programming in Python (Part 2)](https://www.coursera.org/learn/interactive-python-2)| - | -
16 | [Computing In Python, Part I: Fundamentals and Procedural Programming](https://www.edx.org/course/computing-in-python-i-fundamentals-and-procedural-programming-0) | 5 weeks | 10 hours/week
17 | [Computing In Python, Part II: Control Structures](https://www.edx.org/course/computing-in-python-ii-control-structures-0) | 5 weeks | 10 hours/week
18 | [Computing In Python, Part III: Data Structures](https://www.edx.org/course/computing-in-python-iii-data-structures-0) | 5 weeks | 10 hours/week
19 | [Computing In Python, Part IV: Objects & Algorithms](https://www.edx.org/course/computing-in-python-iv-objects-algorithms-0) | 5 weeks | 10 hours/week
20 | [Programming Basics](https://www.edx.org/course/programming-basics-iitbombayx-cs101-1x)| 9 weeks | 8 hours/week
21 | [Object-Oriented Programming with Java](https://java-programming.mooc.fi/)| 14 weeks | 10 hours/week
22 | [Introduction to Programming with MATLAB](https://www.coursera.org/learn/matlab)| - | -
23 | [Introduction to Functional Programming](https://www.edx.org/course/introduction-functional-programming-delftx-fp101x-0)| 7 weeks | 4-6 hours/week
24 | [The Structure and Interpretation of Computer Programs (2022, Python)](http://cs61a.org/) | - | -
25 | [The Structure and Interpretation of Computer Programs (2011, Scheme)](https://romanbird.github.io/sicp/) | - | -
26 | [Introduction to Haskell](https://www.seas.upenn.edu/~cis194/fall16/) | 14 weeks | 4 hours/week
27 |
28 | ## Math
29 |
30 | Courses | Duration | Effort
31 | :-- | :--: | :--:
32 | [Effective Thinking Through Mathematics](https://www.edx.org/course/effective-thinking-through-mathematics-2) | 4 weeks | 2 hours/week
33 | [Introduction to Mathematical Thinking](https://www.coursera.org/learn/mathematical-thinking) | 10 weeks | 10 hours/week
34 | [High School Math](https://www.khanacademy.org/math/high-school-math) | - | -
35 | [Precalculus](https://www.futurelearn.com/courses/precalculus) | 5 weeks | 6 hours/week
36 | [Advanced Precalculus](https://www.futurelearn.com/courses/advanced-precalculus) | 4 weeks | 5 hours/week
37 | [Calculus Applied!](https://www.edx.org/course/calculus-applied) | 10 Weeks | 6hours/week
38 | [Introduction to Probability and Data](https://www.coursera.org/learn/probability-intro)| - | -
39 | [Linear Algebra (Strang)](https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/index.htm) | - | -
40 | [Introduction to Computational Thinking](https://computationalthinking.mit.edu/Spring21/#introduction_to_computational_thinking) | - | -
41 | [Multivariable Calculus](https://ocw.mit.edu/courses/mathematics/18-02sc-multivariable-calculus-fall-2010/index.htm) | 13 weeks | 12 hours/week
42 | [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)
43 | [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/) | - | -
44 |
45 | ## Systems
46 |
47 | Courses | Duration | Effort
48 | :-- | :--: | :--:
49 | [Cloud Computing / Distributed Programming](https://www.coursera.org/learn/cloud-computing) | 5 weeks | 5-10 hours/week
50 | [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
51 | [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
52 | [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
53 | [Computer Architecture](https://www.coursera.org/learn/comparch) | - | 5-8 hours/week
54 | [Operating System Engineering](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-828-operating-system-engineering-fall-2012/) | - | -
55 | [Introduction to Operating Systems](https://www.udacity.com/course/operating-systems--ud923)| 8 weeks | 5-8 hours/week
56 | [Advanced Operating Systems](https://www.udacity.com/course/ai-deep-learning--ud189)| 5 weeks | 5-8 hours/week
57 | [Networking for Web Developers](https://www.udacity.com/course/computer-networking--ud436) | 12 weeks | 5-8 hours/week
58 | 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) | - | -
59 |
60 | ## Theory
61 |
62 | Courses | Duration | Effort
63 | :-- | :--: | :--:
64 | [Algorithms, Part I](https://www.coursera.org/learn/algorithms-part1) | 6 weeks | 6-12 hours/week
65 | [Algorithms, Part II](https://www.coursera.org/learn/algorithms-part2) | 6 weeks | 6-12 hours/week
66 | [Analysis of Algorithms (Sedgewick)](https://www.coursera.org/learn/analysis-of-algorithms) | 6 weeks | 6-8 hours/week
67 | [Analysis of Algorithms (Skiena)](http://www3.cs.stonybrook.edu/~skiena/373/) | 15 weeks | 6-8 hours/week
68 | [Programming Challenges (Skiena)](http://www3.cs.stonybrook.edu/~skiena/392/) | 14 weeks | 6-8 hours/week
69 | [Data Structures and Algorithms (Specialization)](https://www.coursera.org/specializations/data-structures-algorithms) | 25 weeks | 3-10 hours/week
70 | [Algorithmic Thinking (Part 1)](https://www.coursera.org/learn/algorithmic-thinking-1/) | - | -
71 | [Algorithmic Thinking (Part 2)](https://www.coursera.org/learn/algorithmic-thinking-2/) | - | -
72 | [Statistical Mechanics: Algorithms and Computations](https://www.coursera.org/learn/statistical-mechanics/) | - | -
73 | [Approximation Algorithms Part I](https://www.coursera.org/learn/approximation-algorithms-part-1/) | - | -
74 | [Approximation Algorithms Part II](https://www.coursera.org/learn/approximation-algorithms-part-2/) | - | -
75 | [Design And Analysis Of Algorithms](https://ocw.mit.edu/courses/6-046j-design-and-analysis-of-algorithms-spring-2015/) | - | -
76 |
77 | ## Applications
78 |
79 | Courses | Duration | Effort
80 | :-- | :--: | :--:
81 | [Using Databases with Python](https://www.coursera.org/learn/python-databases) | 5 weeks | 2-3 hours/week
82 | [Database Systems](https://15721.courses.cs.cmu.edu/spring2016/) | 15 weeks | 12 hours/week
83 | [Database Management Essentials](https://www.coursera.org/learn/database-management) | 7 weeks | 4-6 hours/week
84 | [Intro to Artificial Intelligence](https://www.udacity.com/course/intro-to-artificial-intelligence--cs271)| 16 weeks | 6-10 hours/week
85 | [Intro to Machine Learning](https://www.udacity.com/course/intro-to-machine-learning--ud120)| 10 weeks | 6-10 hours/week
86 | [Machine Learning for Data Science and Analytics](https://www.edx.org/course/machine-learning-data-science-analytics-columbiax-ds102x-0)| 5 weeks | 7-10 hours/week
87 | [Big Data Science with the BD2K-LINCS Data Coordination and Integration Center](https://www.coursera.org/course/bd2klincs)| 7 weeks | 4-5 hours/week
88 |
89 | ## Tools
90 |
91 | Courses | Duration | Effort
92 | :-- | :--: | :--:
93 | [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
94 | [Kubernetes Certified Application Developer](https://www.udemy.com/course/certified-kubernetes-application-developer/) | 5 weeks | 2 hours/week
95 |
96 |
97 | # Online Learning - Great Courses
98 |
99 | Courses | Duration | Effort
100 | :-- | :--: | :--:
101 | [Learning How to Learn](https://www.coursera.org/learn/learning-how-to-learn) | 4 weeks | 2 hours/week
102 | [Mindshift](https://www.coursera.org/learn/mindshift) | 4 weeks | 2 hours/week
103 |
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/extras/other_curricula.md:
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1 | # Other curricula
2 |
3 | OSSU is one of a few efforts to inform learners how they can pursue computer science independently. Below are a few other such efforts.
4 |
5 | - [Google - Guide for Technical Development](https://www.google.com/about/careers/students/guide-to-technical-development.html)
6 | - [Teach Yourself Computer Science](https://teachyourselfcs.com/)
7 | - [Obtaining a Thorough CS Background Online](http://spin.atomicobject.com/2015/05/15/obtaining-thorough-cs-background-online/)
8 | - [P1xt](https://github.com/P1xt/p1xt-guides)
9 | - [Functional CS](https://functionalcs.github.io/curriculum/)
10 |
11 | What differentiates OSSU? OSSU is dedicated to how an individual can learn the undergraduate CS curriculum. This is why we use the [CS2013](../CURRICULAR_GUIDELINES.md) as our curricular guidelines. These guidelines are written by the two foremost professional organizations in computing.
12 |
13 | This approach has the benefit of clarifying to others the extent of a student's study and understanding. Students have gone from OSSU study into both tech industry employment and into Computer Science graduate school. We look forward to helping you do the same.
14 |
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/extras/puzzles-practice-plods.md:
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1 | # Computer Science - Puzzles, Practice and Plods
2 |
3 | **Some OSSUnians value sites that allow them to practice coding problems disconnected from a course.**
4 |
5 | > Solving "textbook" problems is easy because we've been prepped for them by the course. Solving a "real world" example is much more difficult because there is no hand-holding.
6 |
7 | [link](https://github.com/ossu/computer-science/issues/783#issuecomment-694187743)
8 |
9 | > So give us a problem where the parameters are laid out in x,y fashion, and we'll be able to code for it. But confront us with another problem, and it might stump us since we're still not practiced with thinking algorithmically or what have you.
10 |
11 | [link](https://github.com/ossu/computer-science/issues/783#issuecomment-694176898)
12 |
13 | **Others feel that its important not to get distracted by anxieties and puzzles.**
14 |
15 | > Consider this a love letter to all the beginners out there.
16 |
17 | > I think that when you are still in the beginner stages, it FEELS like you do not have enough competence to contributing to a project.
18 | It FEELS like taking classes, doing programming assignments etc. are not good enough in your eyes to be considered worthy of a "project".
19 | They feel too small and insignificant. You're not quite satisfied.
20 | (Part of the reason might be that early stuff is too easy for you, and you haven't taken a course that kicked your ass and wiped the floor with you yet.)
21 | Since this is online learning and there is nobody/nothing holding you back, the natural tendency is to spread wide and try to do many things all at once, get distracted.
22 | I'VE BEEN THERE, trust me.
23 | And naturally you are in a rush to become competent as fast as possible.
24 | You keep thinking, "when will I be ready to do something BIG?" And you don't want to wait.
25 | Similar to how children always seem like they are in a hurry to grow up and start imitating adults.
26 | The dissatisfaction and the impatience make for an uncomfortable combination.
27 | Let's call this: beginner's mind.
28 |
29 | > The fact is, you have to be patient.
30 | I would argue that early on in your studies, arguably, is NOT when it is most critical for you to contribute to a project...
31 |
32 | > I would recommend the slow, steady and patient approach of OSSU over the distracted, all over the place style of learning lots of others use, with various uncoordinated resources on the internet.
33 | Looking for a project? How about THE NEXT COURSE?
34 |
35 | > So I think that the problem is not really a problem, but a need to adjust expectations.
36 | I would recommend a shift in thinking, away from beginner's mind.
37 | Think long term, so that those small, insignificant exercises and programming assignments in each course should feel like they are crucial parts of your biggest, long-term project: YOU
38 |
39 | [link](https://github.com/ossu/computer-science/issues/783#issuecomment-690023645)
40 |
41 | So OSSUnian, read the above and then consider how much time you wish to put into these resources:
42 | - [Exercism](https://exercism.io/)
43 | - [LeetCode](https://leetcode.com/)
44 | - [HackerRank](https://www.hackerrank.com/)
45 | - [CodeWars](https://www.codewars.com/)
46 | - [100+ Python Coding Problems with Solutions](https://github.com/ProgrammingHero1/100-plus-python-coding-problems-with-solutions)
47 | - [Rosalind](http://rosalind.info/problems/locations/)
48 | - [Advent of Code](https://adventofcode.com/)
49 | - [GitHub projects for beginners](https://github.com/MunGell/awesome-for-beginners) - Projects that are specifically geared towards beginners to GitHub. Possibly intermediate to advanced coding issues to be solved.
50 |
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/extras/readings.md:
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1 | # Computer Science - Great Readings
2 |
3 | This document consists of great books or articles on computer science.
4 | Some are here because there is a course covering the same material;
5 | some are just great books that you should read at some point in your career.
6 |
7 | Once you have made it through most of the curriculum, knowing whether a book is worth your time will become easier.
8 | Or, if you are struggling in one of the courses, perhaps reading a book on the subject will help.
9 |
10 | ## Programming
11 |
12 | Name | Author(s)
13 | :-- | :--:
14 | [Introduction to Computation and Programming Using Python 3e](https://mitpress.mit.edu/books/introduction-computation-and-programming-using-python-third-edition) | John V. Guttag
15 | [Think Python 2e](http://greenteapress.com/wp/think-python-2e/) | Allen B. Downey
16 | [How to Design Programs 2e](https://www.htdp.org/) | Matthias Felleisen, Robert Bruce Findler, Matthew Flatt, Shriram Krishnamurthi
17 | [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
18 | [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
19 | [Concepts, Techniques, and Models of Computer Programming](https://www.amazon.com/gp/product/0262220695) | Peter Van Roy, Seif Haridi
20 | [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
21 | [Refactoring](https://www.refactoring.com/) | Martin Fowler
22 | [Clean Code](https://www.amazon.com/Clean-Code-Handbook-Software-Craftsmanship/dp/0132350882) | Robert Martin
23 | [Code Complete 2e](https://www.amazon.com/Code-Complete-Practical-Handbook-Construction/dp/0735619670) | Steve McConnell
24 | [The Pragmatic Programmer 2e](https://pragprog.com/titles/tpp20/the-pragmatic-programmer-20th-anniversary-edition/) | Andrew Hunt, David Thomas
25 | [Programming Languages: Application and Interpretation](http://cs.brown.edu/~sk/Publications/Books/ProgLangs/) | Shriram Krishnamurthi
26 | [Programming and Programming Languages](https://papl.cs.brown.edu/2018/) | Shriram Krishnamurthi, Benjamin S. Lerner, Joe Gibbs Politz
27 | [Competitive Programming](https://cpbook.net/) | Steven Halim, Felix Halim
28 | [Introduction to computing in Java](https://introcs.cs.princeton.edu/java/home/) | Robert Sedgewick, Kevin Wayne
29 |
30 | ## Math
31 |
32 | Name | Author(s)
33 | :-- | :--:
34 | [Calculus Made Easy](http://www.gutenberg.org/ebooks/33283) | Silvanus P. Thompson
35 | [Ximera: Interactive Calculus Textbooks](https://ximera.osu.edu/) | [Ximera team](https://ximera.osu.edu/about/team)
36 | [Discrete Mathematics with Applications (4th Edition)](http://www.amazon.com/Discrete-Mathematics-Applications-Susanna-Epp/dp/0495391328/) | Susanna S. Epp
37 | [Discrete Mathematics: An Open Introduction](https://discrete.openmathbooks.org/dmoi4/frontmatter.html) | Oscar Levin
38 | [Applied Discrete Structures](http://faculty.uml.edu/klevasseur/ads2/) | Alan Doerr, Ken Levasseur
39 | [Grinstead and Snell’s Introduction to Probability](https://math.dartmouth.edu/~prob/prob/prob.pdf) | Charles M. Grinstead, J. Laurie Snell
40 | [Linear Algebra for Everyone](https://math.mit.edu/~gs/everyone/) | Gilbert Strang
41 | [The Art of Linear Algebra](https://github.com/kenjihiranabe/The-Art-of-Linear-Algebra) | Kenji Hiranabe, Gilbert Strang
42 |
43 | ## Systems
44 |
45 | Name | Author(s)
46 | :-- | :--:
47 | [But How Do It Know?](http://www.buthowdoitknow.com/) | J. Clark Scott
48 | [Computer Systems: A Programmer's Perspective (3rd Edition)](http://csapp.cs.cmu.edu/) | Randal E. Bryant, David R. O'Hallaron
49 | [Modern Operating Systems (4th Edition)](http://www.amazon.com/Modern-Operating-Systems-Andrew-Tanenbaum/dp/013359162X/) | Andrew S. Tanenbaum, Herbert Bos
50 | [Computer Organization and Design: The Hardware/Software Interface (6th Edition)](https://www.amazon.com/Computer-Organization-Design-MIPS-Architecture/dp/0128201096/) | David Patternson, John Hennessy
51 | [Computer Networks (5th Edition)](http://www.amazon.com/Computer-Networks-5th-Andrew-Tanenbaum/dp/0132126958/) | Andrew S. Tanenbaum, David J. Wetherall
52 | [Computer Networking: A Top-Down Approach (8th Edition)](https://gaia.cs.umass.edu/kurose_ross/index.html) | James F Kurose, Keith W Ross
53 | [Distributed Systems: Principles and Paradigms](https://www.amazon.com/Distributed-Systems-Principles-Andrew-Tanenbaum/dp/153028175X) | Andrew Tanenbaum
54 | [Operating Systems Design and Implementation](https://www.amazon.com/Operating-Systems-Design-Implementation-3rd/dp/0131429388) | Andrew S. Tanenbaum, Albert S. Woodhull
55 | [Crafting Interpreters](https://www.craftinginterpreters.com/contents.html) | Robert Nystrom
56 | [Principles of Compiler Design](https://www.amazon.com/Principles-Compiler-Addison-Wesley-information-processing/dp/0201000229) | Alfred Aho, Jeffrey Ullman
57 | [Distributed Systems Reading Group](http://dsrg.pdos.csail.mit.edu/papers/) | Various
58 | [System Design: Design large-scale systems](https://github.com/donnemartin/system-design-primer) | Various
59 |
60 | ## Theory
61 |
62 | Name | Author(s)
63 | :-- | :--:
64 | [Introduction to Computing: Explorations in Language, Logic, and Machines](http://www.computingbook.org/) | David Evans
65 | [Introduction to the Theory of Computation (3rd Edition)](https://www.amazon.com/Introduction-Theory-Computation-Michael-Sipser/dp/113318779X) | Michael Sipser
66 | [Introduction to Algorithms (3rd Edition)](http://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press/dp/0262033844/) | Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein
67 | [The Algorithm Design Manual (3rd Edition)](https://www.algorist.com/) | Steven Skiena
68 | [Algorithms (4th Edition)](https://algs4.cs.princeton.edu/home/) | Robert Sedgewick
69 | [Category Theory: A Gentle Introduction](http://www.logicmatters.net/resources/pdfs/GentleIntro.pdf) | Peter Smith
70 | [Category Theory for Programmers: The Preface](https://bartoszmilewski.com/2014/10/28/category-theory-for-programmers-the-preface/) | Bartosz Milewski
71 | [An Introduction to Information Retrieval](https://nlp.stanford.edu/IR-book/pdf/irbookonlinereading.pdf) | Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze
72 | [Computer Science: An interdisciplinary approach](https://introcs.cs.princeton.edu/java/cs/) | Robert Sedgewick, Kevin Wayne
73 | [DSA CS3: Data Structures & Algorithms](https://opendsa-server.cs.vt.edu/OpenDSA/Books/CS3/html/) ([Coursenotes](https://opendsa-server.cs.vt.edu/OpenDSA/Books/CS3notes/html/) - [Slides](https://opendsa-server.cs.vt.edu/OpenDSA/Books/CS3slides/html/)) | The OpenDSA Project (supported by National Science Foundation)
74 |
75 | ## Applications
76 |
77 | Name | Author(s)
78 | :-- | :--:
79 | [Architecture of a Database System](http://db.cs.berkeley.edu/papers/fntdb07-architecture.pdf) | Joseph M. Hellerstein, Michael Stonebraker, James Hamilton
80 | [Readings in Database Systems (5th Edition)](http://www.redbook.io/) | Peter Bailis, Joseph M. Hellerstein, Michael Stonebraker, editors
81 | [Database Management Systems (3rd Edition)](https://www.amazon.com/gp/product/0072465638) | Raghu Ramakrishnan, Johannes Gehrke
82 | [Transaction Processing: Concepts and Techniques](https://www.amazon.com/Transaction-Processing-Concepts-Techniques-Management/dp/1558601902) | Jim Gray, Andreas Reuter
83 | [Data and Reality: A Timeless Perspective on Perceiving and Managing Information in Our Imprecise World (3rd Edition)](https://www.amazon.com/Data-Reality-Perspective-Perceiving-Information/dp/1935504215) | William Kent
84 | [The Architecture of Open Source Applications](http://aosabook.org/en/) | Michael DiBernardo (editor)
85 | [An Introduction to Statistical Learning](https://www-bcf.usc.edu/~gareth/ISL/) | Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani
86 | [Deep Learning](http://www.deeplearningbook.org/) | Ian Goodfellow, Yoshua Bengio and Aaron Courville
87 | [Bayesian Reasoning and Machine Learning](http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.HomePage) | David Barber
88 | [Language Implementation Patterns](https://www.amazon.com/gp/product/193435645X) | Terence Parr
89 | [Compilers: Principles, Techniques, and Tools (2nd Edition)](http://www.amazon.com/Compilers-Principles-Techniques-Tools-2nd/dp/0321486811/) | Alfred V. Aho, Monica S. Lam, Ravi Sethi, Jeffrey D. Ullman
90 | [Compiler Construction](https://inf.ethz.ch/personal/wirth/CompilerConstruction/index.html) | Niklaus Wirth
91 | [The Mythical Man-Month](https://www.amazon.com/Mythical-Man-Month-Software-Engineering-Anniversary/dp/0201835959/) | Fred Brooks, Jr.
92 | [Physically Based Rendering: From Theory To Implementation](http://www.pbr-book.org/) | Matt Pharr, Wenzel Jakob, and Greg Humphreys
93 |
94 |
95 | ## Tools
96 |
97 | Name | Author(s)
98 | :-- | :--:
99 | [The Linux Command Line](https://linuxcommand.org/tlcl.php) | by William Shotts
100 |
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