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### Open Source Society University
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:mortar_board:**Path to a free self-taught graduation in Computer Science!**
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<h3align="center">Open Source Society University</h3>
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<palign="center">
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Path to a free self-taught graduation in Computer Science!
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</p>
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## Contents
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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 the future, more categories and/or courses will be added to this list or a more advanced/specialized list.
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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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Initially, we will also give preference to MOOC (Massive Open Online Course) type of courses because those courses were created with our style of learning in mind.
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In our curriculum, we gave preference to MOOC (Massive Open Online Course) type of courses because those courses were created with our style of learning in mind.
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## Becoming an OSS student
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## Curriculum
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-[Introduction](#introduction)
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-[Introduction to Computer Science](#introduction-to-computer-science)
-[Natural Language Processing](#natural-language-processing)
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-[Big Data](#big-data)
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-[Data Mining](#data-mining)
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-[Internet of Things](#internet-of-things)
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-[Specializations](#specializations)
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---
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### Introduction
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### Introduction to Computer Science
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Courses | Duration | Effort
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:-- | :--: | :--:
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[Introduction to Computer Science](https://www.edx.org/course/introduction-computer-science-harvardx-cs50x#!)| 12 weeks | 10-20 hours/week
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[Introduction to Computer Science and Programming Using Python](https://www.edx.org/course/introduction-computer-science-mitx-6-00-1x-5#!)| 9 weeks | 15 hours/week
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[Introduction to Computational Thinking and Data Science](https://www.edx.org/course/introduction-computational-thinking-data-mitx-6-00-2x-2#!)| 10 weeks | 15 hours/week
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[From Nand to Tetris](https://www.coursera.org/course/nand2tetris1) | 7 weeks | 5-10 hours/week
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### Math (Mathematical Thinking)
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Courses | Duration | Effort
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[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
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[Systematic Program Design- Part 2: Arbitrary Sized Data](https://www.edx.org/course/systematic-program-design-part-2-ubcx-spd2x)| 5 weeks | 8-12 hours/week
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[Systematic Program Design- Part 3: Abstraction, Search and Graphs](https://www.edx.org/course/systematic-program-design-part-3-ubcx-spd3x)| 5 weeks | 8-12 hours/week
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### Math (Discrete Math)
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Courses | Duration | Effort
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[Mathematics for Computer Science](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-fall-2010/index.htm)| - | -
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### Algorithms
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Courses | Duration | Effort
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Courses | Duration | Effort
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[Introduction to Functional Programming](https://www.edx.org/course/introduction-functional-programming-delftx-fp101x-0#ct-read-review-widget)| 7 weeks | 4-6 hours/week
[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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[Applications of Linear Algebra Part 1](https://www.edx.org/course/applications-linear-algebra-part-1-davidsonx-d003x-1#ct-read-review-widget)| 5 weeks | 12-18 hours/week
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[Applications of Linear Algebra Part 2](https://www.edx.org/course/applications-linear-algebra-part-2-davidsonx-d003x-2)| 4 weeks | 12-18 hours/week
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[Linear and Discrete Optimization](https://www.coursera.org/course/linearopt)| 7 weeks | 3-6 hours/week
[Engineering Software as a Service (SaaS), Part 1](https://www.edx.org/course/engineering-software-service-saas-part-1-uc-berkeleyx-cs169-1x)| 9 weeks | 12 hours/week
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[Engineering Software as a Service (Saas), Part 2](https://www.edx.org/course/engineering-software-service-saas-part-2-uc-berkeleyx-cs169-2x)| 8 weeks | 12 hours/week
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[Software Processes and Agile Practices](https://www.coursera.org/learn/software-processes-and-agile-practices)| 4 weeks | 6-8 hours/week
[Introduction to Probability - The Science of Uncertainty](https://www.edx.org/course/introduction-probability-science-mitx-6-041x-0)| 16 weeks | 12 hours/week
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> See more about "Commit to a process, not a goal" [here](http://jamesclear.com/goals-systems).
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### How can I track/show my progress?
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### Project Based
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To **track** your progress, you should update the profile that you created and add the courses that you began or ended.
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Here in **OSS University**, you do **not** need to take exams, because we are focused on **real projects**!
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To **show**your progress, you should create a repository on GitHub to put all of the files that you created for each course.
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In order to show for everyone that you **successfully**finished a course, you should create a **"startup project"**.
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You can create one repository per course, or just one repository that will contain all of the files for each course. The first option is our preferred approach.
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> "What does it mean?"
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**ps**: You should share **only**files that you are **allowed**to!**Do NOT disrespect the code of conduct**that you signed in the beginning of some courses.
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After finish a course, you should think about a **real 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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[Be creative](#be-creative)in order to show your progress! :smile:
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The projects of all students will be listed in [this](projects.md) file. Submit your project's informations in that file after you conclude it.
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### Cooperative work
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**You can create this project alone or with other students!**
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**We love cooperative work**! But is quite difficult to manage a large base of students with specific projects. Use our channels to communicate with other fellows to combine and create new projects.
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> Some project suggestions [here](https://github.com/karan/Projects)and [here](https://github.com/ericdouglas/app-specs).
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### Which programming languages should I use?
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My friend, here is the best part of liberty! You can use **any** language that you want to complete the courses.
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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.
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And you should also...
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### Be creative!
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-**Articles**: create blog posts to synthesize/summarize what you learned.
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-**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.
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-**Real projects**: you can try to develop at least **one real project** for each course that you enroll. It doesn't need to be a big project, just a **small one** to **validate** and **consolidate** your knowledge. Some project suggestions [here](https://github.com/karan/Projects) and [here](https://github.com/ericdouglas/app-specs).
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### Cooperative work
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**We love cooperative work**! Use our [channels](#community) to communicate with other fellows to combine and create new projects!
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### Which programming languages should I use?
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My friend, here is the best part of liberty! You can use **any** language that you want to complete the courses.
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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.
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### Content Policy
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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.
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[Be creative](#be-creative) in order to show your progress! :smile:
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### Stay tuned
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**ps**: You don't need to do all of the courses. Just pick one and learn the basics because you will learn more on the go!
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## Change Log
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**Curriculum Version**: `1.0.0`
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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.
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Now we have a **stable** version of the curriculum, which won't change anymore, only in exceptional cases (outdated courses, broken links, etc).
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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.
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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
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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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## Community
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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-and-engineering/issues).
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> **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 forum for important discussions**.
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> **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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-[Adding our university page at Linkedin](https://help.linkedin.com/app/answers/detail/a_id/40128/~/adding-a-new-university-page), so that way we will be able to add **OSS University** in our Linkedin profile.
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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
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-[Google - Guide for Technical Development](https://www.google.com/about/careers/students/guide-to-technical-development.html)
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-[Coursera](https://www.coursera.org/)
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-[edX](https://www.edx.org)
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-[MIT Open Courseware](http://ocw.mit.edu/courses/#electrical-engineering-and-computer-science)
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-[Obtaining a Thorough CS Background Online](http://spin.atomicobject.com/2015/05/15/obtaining-thorough-cs-background-online/)
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