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Open Source Society University (OSSU)

Open Source Society University

Path to a free self-taught education in Computer Science!

Awesome

Contents

About

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.

In our curriculum, we gave preference to MOOC (Massive Open Online Course) style courses because those courses were created with our style of learning in mind.

Becoming an OSS student

To officially register for this course you must create a profile in our students profile issue.

"How can I do this?"

Comment in this issue (please, do not open a new one) using the following template:

- **Name**: YOUR NAME - **GitHub**: [@your_username]() - **Twitter**: [@your_username]() - **Linkedin**: [link]() - **Website**: [yourblog.com]() ## Completed Courses **Name of the Section** Course|Files :--|:--: Course Name| [link]() 

IMPORTANT: add your profile only once and after you finish each course you can return to that issue and update your comment.

ps: In the Completed Courses section, you should link the repository that contains the files that you created in the respective course.

"Why should I do this?"

This is a way to get to know our peers better, and an opportunity to share the things that we have done.

That is why we are using this strategy. You are free to bypass this if you're not that type.

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", that consists in learning the entire 4-year MIT curriculum for Computer Science in 1 year.

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.

Are you ready to get started?

Curriculum


Introduction to Computer Science

CoursesDurationEffort
Introduction to Computer Science12 weeks10-20 hours/week
Introduction to Computer Science and Programming Using Python9 weeks15 hours/week
Introduction to Computational Thinking and Data Science10 weeks15 hours/week
From Nand to Tetris7 weeks5-10 hours/week

Math (Mathematical Thinking)

CoursesDurationEffort
Effective Thinking Through Mathematics9 weeks5 hours/week

Program Design

CoursesDurationEffort
Systematic Program Design- Part 1: The Core Method5 weeks8-12 hours/week
Systematic Program Design- Part 2: Arbitrary Sized Data5 weeks8-12 hours/week
Systematic Program Design- Part 3: Abstraction, Search and Graphs5 weeks8-12 hours/week

Math (Discrete Math)

CoursesDurationEffort
Mathematics for Computer Science12 weeks5 hours/week

Algorithms

CoursesDurationEffort
Algorithms, Part I6 weeks6-12 hours/week
Algorithms, Part II6 weeks6-12 hours/week
Analysis of Algorithms6 weeks6-8 hours/week

Programming Paradigms

CoursesDurationEffort
Functional Programming Principles in Scala7 weeks5-7 hours/week
Principles of Reactive Programming7 weeks5-7 hours/week
Object Oriented Programming in Java6 weeks4-6 hours/week

Software Testing

CoursesDurationEffort
Software Testing4 weeks6 hours/week
Software Debugging8 weeks6 hours/week

Math (Calculus)

CoursesDurationEffort
Calculus One16 weeks8-10 hours/week
Calculus Two: Sequences and Series7 weeks9-10 hours/week
Multivariable Calculus6 weeks5-7 hours/week

Software Architecture

CoursesDurationEffort
Web Application Architectures6 weeks6-9 hours/week
Software Architecture & Design8 weeks6 hours/week

Theory

CoursesDurationEffort
Automata6 weeks8-10 hours/week

Software Engineering

CoursesDurationEffort
Engineering Software as a Service (SaaS), Part 19 weeks12 hours/week
Engineering Software as a Service (Saas), Part 28 weeks12 hours/week
Software Processes and Agile Practices4 weeks6-8 hours/week
Startup Engineering12 weeks2-20 hours/week

Math (Probability)

CoursesDurationEffort
Introduction to Probability - The Science of Uncertainty16 weeks12 hours/week

Computer Architecture

CoursesDurationEffort
The Hardware/Software Interface8 weeks10-15 hours/week
Computer Architecture-5-8 hours/week

Operating Systems

CoursesDurationEffort
Operating System Engineering--
Operating Systems and System Programming10 weeks2-3 hours/week

Computer Networks

CoursesDurationEffort
Introduction to Computer Networking-5-10 hours/week
Computer Networks-4–12 hours/week

Databases

CoursesDurationEffort
Databases12 weeks8-12 hours/week

Cloud Computing

CoursesDurationEffort
Introduction to Cloud Computing4 weeks1 hour/week

Math (Linear Algebra)

CoursesDurationEffort
Coding the Matrix: Linear Algebra through Computer Science Applications10 weeks7-10 hours/week

Cryptography

CoursesDurationEffort
Cryptography I6 weeks5-7 hours/week
Cryptography II6 weeks6-8 hours/week
Applied Cryptography8 weeks6 hours/week

Security

CoursesDurationEffort
Introduction to Cyber Security8 weeks3 hours/week

Compilers

CoursesDurationEffort
Compilers9 weeks6-8 hours/week

Parallel Computing

CoursesDurationEffort
Heterogeneous Parallel Programming11 weeks8-10 hours/week

UX Design

CoursesDurationEffort
UX Design for Mobile Developers6 weeks6 hours/week

Computer Graphics

CoursesDurationEffort
Computer Graphics6 weeks12 hours/week

Artificial Intelligence

CoursesDurationEffort
Artificial Intelligence12 weeks15 hours/week

Machine Learning

CoursesDurationEffort
Machine Learning11 weeks4-6 hours/week

Natural Language Processing

CoursesDurationEffort
Natural Language Processing10 weeks8-10 hours/week

Big Data

CoursesDurationEffort
Introduction to Big Data3 weeks5-6 hours/week

Data Mining

CoursesDurationEffort
Pattern Discovery in Data Mining4 weeks4-6 hours/week

Internet of Things

CoursesDurationEffort
The Internet of Things4 weeks2 hours/week

Specializations

After finishing the courses above, start your specializations on the topics that you have more interest.

Search such specializations in the following platforms:

keep learning

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.

The courses are already in the order that you should complete them. Just start in the Introduction to Computer Science section and after finishing the first course, start the next one.

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!

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!

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.

Project Based

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 "startup project".

"What does it mean?"

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.

The projects of all students will be listed in this file. Submit your project's information in that file after you conclude it.

You can create this project alone or with other students!

Project Suggestions

  • Projects: A list of practical projects that anyone can solve in any programming language.
  • app-specs: A curated list of applications specifications and implementations to practice new technologies, improve your portfolio and sharpen your skills.
  • FreeCodeCamp: Course that teaches you fullstack JavaScript development through a bunch of projects.
  • JavaScript Projects: List of projects related with the JavaScript Path.

And you should also...

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!

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 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 in order to show your progress! 😄

Stay tuned

Watch this repository for futures improvements and general information.

Prerequisite

The only things that you need to know are how to use Git and GitHub. Here are some resources to learn about them:

Note: Just pick one of the courses below to learn the basics. You will learn a lot more once you get started!

Change Log

Curriculum Version: 1.3.9

To show respect to all of our students, we will keep a CHANGELOG 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.

How to collaborate

You can open 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.

You can also fork this project to fix any mistakes that you have found or add new things, and then make a pull request.

Let's do it together! =)

Community

Subscribe to /r/opensourcesociety!

Join us in our group!

You can also interact through GitHub issues.

We also have a chat room! Join the chat at https://gitter.im/open-source-society/computer-science

Add Open Source Society University to your Facebook 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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