computer-science/README.md

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![Open Source Society University (OSSU)](http://i.imgur.com/GjEbgIJ.png)
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<h3 align="center">Open Source Society University</h3>
<p align="center">
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Path to a free self-taught education in Computer Science!
</p>
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<p align="center">
<a href="https://github.com/sindresorhus/awesome">
<img alt="Awesome" src="https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg">
</a>
</p>
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## Contents
- [About](#about)
- [Becoming an OSS student](#becoming-an-oss-student)
- [Motivation & Preparation](#motivation--preparation)
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- [Curriculum](#curriculum)
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- [How to use this guide](#how-to-use-this-guide)
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- [Prerequisite](#prerequisite)
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- [How to collaborate](#how-to-collaborate)
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- [Community](#community)
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- [Next Goals](#next-goals)
- [References](#references)
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## About
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This is a **solid path** for those of you who want to complete a **Computer Science** course on your own time, **for free**, with courses from the **best universities** in the World.
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In our curriculum, we give preference to MOOC (Massive Open Online Course) style courses because these courses were created with our style of learning in mind.
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## Becoming an OSS student
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To officially register for this course you must create a profile in our [web app](https://ossu.firebaseapp.com).
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> **"How can I do this?"**
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Just create an account on GitHub and log in with this account in our web app.
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The intention of this app is to offer for 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.
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In the "My Progress" tab, you are able to edit the status of the courses that you are taking, and also add the link of your final project for each one.
## Motivation & Preparation
Here are two interesting links that can make **all** the difference in your journey.
The first one is a motivational video that shows a guy that went through the "MIT Challenge", which consists of learning the entire **4-year** MIT curriculum for Computer Science in **1 year**.
- [MIT Challenge](http://www.scotthyoung.com/blog/myprojects/mit-challenge-2/)
The second link is a MOOC that will teach you learning techniques used by experts in art, music, literature, math, science, sports, and many other disciplines. These are **fundamental abilities** to succeed in our journey.
- [Learning How to Learn](https://www.coursera.org/learn/learning-how-to-learn)
**Are you ready to get started?**
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## Curriculum
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- [Introduction to Computer Science](#introduction-to-computer-science)
- [Math (Mathematical Thinking)](#math-mathematical-thinking)
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- [Program Design](#program-design)
- [Math (Discrete Math)](#math-discrete-math)
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- [Algorithms](#algorithms)
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- [Programming Paradigms](#programming-paradigms)
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- [Software Testing](#software-testing)
- [Math (Calculus)](#math-calculus)
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- [Software Architecture](#software-architecture)
- [Theory](#theory)
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- [Software Engineering](#software-engineering)
- [Math (Probability)](#math-probability)
- [Computer Architecture](#computer-architecture)
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- [Operating Systems](#operating-systems)
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- [Computer Networks](#computer-networks)
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- [Databases](#databases)
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- [Cloud Computing](#cloud-computing)
- [Math (Linear Algebra)](#math-linear-algebra)
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- [Cryptography](#cryptography)
- [Security](#security)
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- [Compilers](#compilers)
- [Parallel Computing](#parallel-computing)
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- [UX Design](#ux-design)
- [Computer Graphics](#computer-graphics)
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- [Artificial Intelligence](#artificial-intelligence)
- [Machine Learning](#machine-learning)
- [Natural Language Processing](#natural-language-processing)
- [Big Data](#big-data)
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- [Data Mining](#data-mining)
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- [Internet of Things](#internet-of-things)
- [Specializations](#specializations)
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---
### Introduction to Computer Science
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Courses | Duration | Effort
:-- | :--: | :--:
[Introduction to Computer Science - CS50](https://www.edx.org/course/introduction-computer-science-harvardx-cs50x#!)| 12 weeks | 10-20 hours/week
### Math (Mathematical Thinking)
Courses | Duration | Effort
:-- | :--: | :--:
[Effective Thinking Through Mathematics](https://www.edx.org/course/effective-thinking-through-mathematics-utaustinx-ut-9-01x) | 9 weeks | 5 hours/week
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### Program Design
Courses | Duration | Effort
:-- | :--: | :--:
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[How to Code: Systematic Program Design - Part 1](https://www.edx.org/course/how-code-systematic-program-design-part-ubcx-spd1x)| 5 weeks | 8-12 hours/week
[How to Code: Systematic Program Design - Part 2](https://www.edx.org/course/how-code-systematic-program-design-part-ubcx-spd2x)| 5 weeks | 8-12 hours/week
[How to Code: Systematic Program Design - Part 3](https://www.edx.org/course/how-code-systematic-program-design-part-ubcx-spd3x)| 5 weeks | 8-12 hours/week
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### Math (Discrete Math)
Courses | Duration | Effort
:-- | :--: | :--:
[Mathematics for Computer Science](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-fall-2010/index.htm)| 12 weeks | 5 hours/week
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### Algorithms
Courses | Duration | Effort
:-- | :--: | :--:
[Algorithms, Part I](https://www.coursera.org/course/algs4partI)| 6 weeks | 6-12 hours/week
[Algorithms, Part II](https://www.coursera.org/course/algs4partII)| 6 weeks | 6-12 hours/week
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### Programming Paradigms
Courses | Duration | Effort
:-- | :--: | :--:
[Functional Programming Principles in Scala](https://www.coursera.org/course/progfun)| 7 weeks | 5-7 hours/week
[Object Oriented Programming in Java](https://www.coursera.org/learn/object-oriented-java) | 6 weeks | 4-6 hours/week
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### Software Testing
Courses | Duration | Effort
:-- | :--: | :--:
[Software Testing](https://www.udacity.com/course/software-testing--cs258)| 4 weeks | 6 hours/week
[Software Debugging](https://www.udacity.com/course/software-debugging--cs259)| 8 weeks | 6 hours/week
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### Math (Calculus)
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Courses | Duration | Effort
:-- | :--: | :--:
[Calculus One](https://www.coursera.org/learn/calculus1)| 16 weeks | 8-10 hours/week
[Calculus Two: Sequences and Series](https://www.coursera.org/learn/advanced-calculus)| 7 weeks | 9-10 hours/week
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### Software Architecture
Courses | Duration | Effort
:-- | :--: | :--:
[Software Architecture & Design](https://www.udacity.com/course/software-architecture-design--ud821)| 8 weeks | 6 hours/week
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### Theory
Courses | Duration | Effort
:-- | :--: | :--:
[Automata](https://www.coursera.org/course/automata)| 6 weeks | 8-10 hours/week
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### Software Engineering
Courses | Duration | Effort
:-- | :--: | :--:
[Software Processes and Agile Practices](https://www.coursera.org/learn/software-processes-and-agile-practices)| 4 weeks | 6-8 hours/week
### Math (Probability)
Courses | Duration | Effort
:-- | :--: | :--:
[Introduction to Probability - The Science of Uncertainty](https://www.edx.org/course/introduction-probability-science-mitx-6-041x-0)| 16 weeks | 12 hours/week
### Computer Architecture
Courses | Duration | Effort
:-- | :--: | :--:
[Computer Architecture](https://www.coursera.org/course/comparch)| - | 5-8 hours/week
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### Operating Systems
Courses | Duration | Effort
:-- | :--: | :--:
[Operating Systems and System Programming](https://www.youtube.com/view_play_list?p=-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c)| 10 weeks | 2-3 hours/week
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### Computer Networks
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Courses | Duration | Effort
:-- | :--: | :--:
[Computer Networks](https://www.coursera.org/course/comnetworks)| - | 412 hours/week
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### Databases
Courses | Duration | Effort
:-- | :--: | :--:
[Databases](https://lagunita.stanford.edu/courses/DB/2014/SelfPaced/about)| 12 weeks | 8-12 hours/week
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### Cloud Computing
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Courses | Duration | Effort
:-- | :--: | :--:
[Introduction to Cloud Computing](https://www.edx.org/course/introduction-cloud-computing-ieeex-cloudintro-x-0)| 4 weeks | 1 hour/week
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### Math (Linear Algebra)
Courses | Duration | Effort
:-- | :--: | :--:
[Coding the Matrix: Linear Algebra through Computer Science Applications](https://www.coursera.org/course/matrix)| 10 weeks | 7-10 hours/week
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### Cryptography
Courses | Duration | Effort
:-- | :--: | :--:
[Cryptography I](https://www.coursera.org/course/crypto)| 6 weeks | 5-7 hours/week
[Cryptography II](https://www.coursera.org/course/crypto2)| 6 weeks | 6-8 hours/week
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### Security
Courses | Duration | Effort
:-- | :--: | :--:
[Introduction to Cyber Security](https://www.futurelearn.com/courses/introduction-to-cyber-security) | 8 weeks | 3 hours/week
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### Compilers
Courses | Duration | Effort
:-- | :--: | :--:
[Compilers](https://www.coursera.org/course/compilers)| 9 weeks | 6-8 hours/week
### Parallel Computing
Courses | Duration | Effort
:-- | :--: | :--:
[Heterogeneous Parallel Programming](https://www.coursera.org/course/hetero)| 11 weeks | 8-10 hours/week
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### UX Design
Courses | Duration | Effort
:-- | :--: | :--:
[UX Design for Mobile Developers](https://www.udacity.com/course/ux-design-for-mobile-developers--ud849)| 6 weeks | 6 hours/week
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### Computer Graphics
Courses | Duration | Effort
:-- | :--: | :--:
[Computer Graphics](https://www.edx.org/course/computer-graphics-uc-san-diegox-cse167x)| 6 weeks | 12 hours/week
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### Artificial Intelligence
Courses | Duration | Effort
:-- | :--: | :--:
[Artificial Intelligence](https://www.edx.org/course/artificial-intelligence-uc-berkeleyx-cs188-1x#!)| 12 weeks | 15 hours/week
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### Machine Learning
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Courses | Duration | Effort
:-- | :--: | :--:
[Machine Learning](https://www.coursera.org/learn/machine-learning)| 11 weeks | 4-6 hours/week
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### Natural Language Processing
Courses | Duration | Effort
:-- | :--: | :--:
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[Natural Language Processing](https://www.coursera.org/course/nlangp)| 10 weeks | 8-10 hours/week
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### Big Data
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Courses | Duration | Effort
:-- | :--: | :--:
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[Introduction to Big Data](https://www.coursera.org/learn/intro-to-big-data)| 3 weeks | 5-6 hours/week
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### Data Mining
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Courses | Duration | Effort
:-- | :--: | :--:
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[Pattern Discovery in Data Mining](https://www.coursera.org/course/patterndiscovery) | 4 weeks | 4-6 hours/week
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### Internet of Things
Courses | Duration | Effort
:-- | :--: | :--:
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[The Internet of Things](https://www.futurelearn.com/courses/internet-of-things)| 4 weeks | 2 hours/week
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### Specializations
After finishing the courses above, start your specializations on the topics that you have more interest.
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The following platforms currently offer specializations:
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#### edX: [xSeries](https://www.edx.org/xseries)
#### Coursera: [Specializations](https://www.coursera.org/specializations)
#### Udacity: [Nanodegree](https://www.udacity.com/nanodegree)
#### FutureLearn: [Collections](https://www.futurelearn.com/courses/collections)
![keep learning](http://i.imgur.com/REQK0VU.jpg)
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## How to use this guide
### Order of the classes
This guide was developed to be consumed in a linear approach. What does this mean? That you should complete one course at a time.
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The courses are **already** in the order that you should complete them. Just start in the [Introduction to Computer Science](#introduction-to-computer-science) section and after finishing the first course, start the next one.
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**If the course isn't open, do it anyway with the resources from the previous class.**
### Should I take all courses?
**Yes!** The intention is to conclude **all** the courses listed here!
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### Duration of the project
It may take longer to complete all of the classes compared to a regular CS course, but I can **guarantee** you that your **reward** will be proportional to **your motivation/dedication**!
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You must focus on your **habit**, and **forget** about goals. Try to invest 1 ~ 2 hours **every day** studying this curriculum. If you do this, **inevitably** you'll finish this curriculum.
> See more about "Commit to a process, not a goal" [here](http://jamesclear.com/goals-systems).
### Project Based
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Here in **OSS University**, you do **not** need to take exams, because we are focused on **real projects**!
In order to show for everyone that you **successfully** finished a course, you should create a **real project**.
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> "What does it mean?"
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After finish a course, you should think about a **real world problem** that you can solve using the acquired knowledge in the course. You don't need to create a big project, but you must create something to **validate** and **consolidate** your knowledge, and also to show to the world that you are capable to create something useful with the concepts that you learned.
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The projects of all students will be listed in [this](https://github.com/open-source-society/help/blob/master/PROJECTS.md) file. Submit your project's information in that file after you conclude it.
**You can create this project alone or with other students!**
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#### Project Suggestions
- [Projects](https://github.com/karan/Projects): A list of practical projects that anyone can solve in any programming language.
- [app-specs](https://github.com/ericdouglas/app-specs): A curated list of applications specifications and implementations to practice new technologies, improve your portfolio and sharpen your skills.
- [FreeCodeCamp](http://www.freecodecamp.com/): Course that teaches you fullstack JavaScript development through a bunch of projects.
- [JavaScript Projects](https://github.com/javascript-society/javascript-projects): List of projects related with the [JavaScript Path](https://github.com/javascript-society/javascript-path).
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And you should also...
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### Be creative!
This is a **crucial** part of your journey through all those courses.
You **need** to have in mind that what you are able to **create** with the concepts that you learned will be your certificate **and this is what really matters**!
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In order to show that you **really** learned those things, you need to be **creative**!
Here are some tips about how you can do that:
- **Articles**: create blog posts to synthesize/summarize what you learned.
- **GitHub repository**: keep your course's files organized in a GH repository, so in that way other students can use it to study with your annotations.
### Cooperative work
**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 courses.
The **important** thing for each course is to **internalize** the **core concepts** and to be able to use them with whatever tool (programming language) that you wish.
### Content Policy
You must share **only** files that you are **allowed** to! **Do NOT disrespect the code of conduct** that you signed in the beginning of some courses.
[Be creative](#be-creative) in order to show your progress! :smile:
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### Stay tuned
[Watch](https://help.github.com/articles/watching-repositories/) this repository for futures improvements and general information.
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## Prerequisite
The **only things** that you need to know are how to use **Git** and **GitHub**. Here are some resources to learn about them:
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**Note**: Just pick one of the courses below to learn the basics. You will learn a lot more once you get started!
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- [Try Git](https://try.github.io/levels/1/challenges/1)
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- [Git - the simple guide](http://rogerdudler.github.io/git-guide/)
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- [GitHub Training & Guides](https://www.youtube.com/playlist?list=PLg7s6cbtAD15G8lNyoaYDuKZSKyJrgwB-)
- [GitHub Hello World](https://guides.github.com/activities/hello-world/)
- [Git Immersion](http://gitimmersion.com/index.html)
- [How to Use Git and GitHub](https://www.udacity.com/course/how-to-use-git-and-github--ud775)
## Change Log
**Curriculum Version**: `3.0.0`
To show **respect** to all of our students, we will keep a [CHANGELOG](CHANGELOG.md) file that contains all the alterations that our curriculum may suffer.
Now we have a **stable** version of the curriculum, which won't change anymore, only in exceptional cases (outdated courses, broken links, etc).
Our students can **trust** in this curriculum because it has been **carefully planned** and covers **all** the **core topics** that a conventional Computer Science course covers.
We also include modern topics, making this course one of the **best options** for those who want to become a Computer Scientist and/or a Software Engineer.
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## How to collaborate
You can [open an issue](https://help.github.com/articles/creating-an-issue/) and give us your suggestions as to how we can improve this guide, or what we can do to improve the learning experience.
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You can also [fork this project](https://help.github.com/articles/fork-a-repo/) and send a [pull request](https://help.github.com/articles/using-pull-requests/) to fix any mistakes that you have found.
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If you want to suggest a new resource, send a pull request adding such resource to the [extras](https://github.com/open-source-society/computer-science/tree/master/extras) section.
The **extras** section is a place where all of us will be able to submit interesting additional articles, books, courses and specializations, keeping our curriculum *as immutable and concise as possible*.
**Let's do it together! =)**
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## Community
Subscribe to [/r/opensourcesociety](https://www.reddit.com/r/opensourcesociety/)!
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Join us in our [group](https://groups.google.com/forum/#!forum/open-source-society-university)!
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You can also interact through [GitHub issues](https://github.com/open-source-society/computer-science/issues).
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We also have a chat room! [![Join the chat at https://gitter.im/open-source-society/computer-science](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/open-source-society/computer-science?utm_campaign=pr-badge&utm_content=badge&utm_medium=badge&utm_source=badge)
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Add **Open Source Society University** to your [Facebook](https://www.facebook.com/ossuniversity) profile!
> **ps**: A forum is an ideal way to interact with other students as we do not lose important discussions, which usually occur in communication via chat apps. **Please use our subreddit/group for important discussions**.
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## Next Goals
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- [Add our University page at Linkedin](https://help.linkedin.com/app/answers/detail/a_id/40128/~/adding-a-new-university-page), so in that way we will be able to add **OSS University** in our Linkedin profile.
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## References
- [Google - Guide for Technical Development](https://www.google.com/about/careers/students/guide-to-technical-development.html)
- [Coursera](https://www.coursera.org/)
- [edX](https://www.edx.org)
- [Udacity](https://www.udacity.com/)
- [Future Learn](https://www.futurelearn.com/)
- [Stanford University](https://lagunita.stanford.edu/)
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- [MIT Open Courseware](http://ocw.mit.edu/courses/#electrical-engineering-and-computer-science)
- [Obtaining a Thorough CS Background Online](http://spin.atomicobject.com/2015/05/15/obtaining-thorough-cs-background-online/)