OSSU-computer-science/README.md

![open source society university](http://i.imgur.com/h8xjrrj.png)

:mortar_board: **Path to a free self-taught graduation in Computer Science!**

## Contents

- [About](#about)
- [Becoming an OSS student](#becoming-an-oss-student)
- [Topics](#topics)
- [How to use this guide](#how-to-use-this-guide)
- [Prerequisite](#prerequisite)
- [Next Goals](#next-goals)
- [References](#references)

## About

This is a **solid path** for you that want to graduate in a Computer Science course in your own time, **for free**, with courses from the **best universities** of the World.

Here we will <strike>try to</strike> choose a maximum of **3** courses for each category. Futurely, more categories and/or courses can be added to this list or in a more advanced list.

Initially, we will also give preference for MOOC (Massive Open Online Course) type of courses because those courses were created with our style of learning in mind.

## Becoming an OSS student

Your registration for this graduation course will be effectuated after you create your profile in our [students](/students) folder.

> **"How can I do this?"**

Just fork this repository and create a markdown file named with your **GitHub username**. It’s that simple.

Use the model below to create your own file:

```
# Student Profile

- **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]()
```

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

> **"Why should I do this?"**

Making a [public commitment](http://renewablewealth.com/articles/the-power-of-a-public-commitment/), we have much more chances to **succeed** in our graduation, know better our fellows and share the things that we have done.

For those reasons we are using that strategy.

---

## Topics

- [Introduction](#introduction)
- [Program Design](#program-design)
- [Programming Paradigms](#programming-paradigms)
- [Software Testing](#software-testing)
- [Math](#math)
- [Algorithms](#algorithms)
- [Software Architecture](#software-architecture)
- [Software Engineering](#software-engineering)
- [Operating Systems](#operating-systems)
- [Computer Networks](#computer-networks)
- [Databases](#databases)
- [Cloud Computing](#cloud-computing)
- [Cryptography](#cryptography)
- [Compilers](#compilers)
- [UX Design](#ux-design)
- [Artificial Intelligence](#artificial-intelligence)
- [Machine Learning](#machine-learning)
- [Natural Language Processing](#natural-language-processing)
- [Internet of Things](#internet-of-things)
- [Big Data](#big-data)
- [Data Mining](#data-mining)

---

### Introduction

Course|Duration
:--|:--:
[Introduction to Computer Science](https://www.edx.org/course/introduction-computer-science-harvardx-cs50x#!)| 9 ~ 15 weeks
[Introduction to Computer Science and Programming Using Python](https://www.edx.org/course/introduction-computer-science-mitx-6-00-1x-5#!)| 9 weeks
[Introduction to Computational Thinking and Data Science](https://www.edx.org/course/introduction-computational-thinking-data-mitx-6-00-2x-2#!)| 10 weeks

### Program Design

Course|Duration
:--|:--:
[Systematic Program Design- Part 1: The Core Method](https://www.edx.org/course/systematic-program-design-part-1-core-ubcx-spd1x-0)| 5 weeks
[Systematic Program Design- Part 2: Arbitrary Sized Data](https://www.edx.org/course/systematic-program-design-part-2-ubcx-spd2x)| 5 weeks
[Systematic Program Design- Part 3: Abstraction, Search and Graphs](https://www.edx.org/course/systematic-program-design-part-3-ubcx-spd3x)| 5 weeks

### Programming Paradigms

Course|Duration
:--|:--:
[Introduction to Functional Programming](https://www.edx.org/course/introduction-functional-programming-delftx-fp101x-0#ct-read-review-widget)| 7 weeks
[Principles of Reactive Programming](https://www.coursera.org/course/reactive)| 7 weeks
[Programming Languages](https://www.coursera.org/course/proglang)| 8-16 hours/week
[Functional Programming Principles in Scala](https://www.coursera.org/course/progfun)| 7 weeks

### Software Testing

Course|Duration
:--|:--:
[Software Testing](https://www.udacity.com/course/software-testing--cs258)| 4 weeks
[Software Debugging](https://www.udacity.com/course/software-debugging--cs259)| 8 weeks

### Math

Course|Duration
:--|:--:
[Effective Thinking Through Mathematics](https://www.edx.org/course/effective-thinking-through-mathematics-utaustinx-ut-9-01x)| 9 weeks
[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
[Applications of Linear Algebra Part 2](https://www.edx.org/course/applications-linear-algebra-part-2-davidsonx-d003x-2)| 4 weeks
[Linear and Discrete Optimization](https://www.coursera.org/course/linearopt)| 3-6 hours/week
[Probabilistic Graphical Models](https://www.coursera.org/course/pgm)| 11 weeks
[Game Theory](https://www.coursera.org/course/gametheory)| 9 weeks

### Algorithms

Course|Duration
:--|:--:
[Algorithms, Part I](https://www.coursera.org/course/algs4partI)| 6 weeks
[Algorithms, Part II](https://www.coursera.org/course/algs4partII)| 6 weeks
[Analysis of Algorithms](https://www.coursera.org/course/aofa)| 6 weeks

### Software Architecture

Course|Duration
:--|:--:
[Web Application Architectures](https://www.coursera.org/course/webapplications)| 6-9 hours/week
[Microservice Architectures TODO]()| -

### Software Engineering

Course|Duration
:--|:--:
[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
[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
[Software Product Management Specialization](https://www.coursera.org/specializations/product-management)| -

### Operating Systems

Course|Duration
:--|:--:
[Operating System Engineering](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-828-operating-system-engineering-fall-2012/)| -
[Operating Systems and System Programming](https://www.youtube.com/watch?v=XgQo4JkN4Bw&list=PL3289DD0D0F0CD4A3)| -

### Computer Networks

Course|Duration
:--|:--:
[Computer Networks](https://www.coursera.org/course/comnetworks)| 4–12 hours/we
[Software Defined Networking](https://www.coursera.org/course/sdn1)| 7-10 hours/we

### Databases

Course|Duration
:--|:--:
[Introduction to Databases](https://www.coursera.org/course/db)| -
[Database Design](https://www.udemy.com/database-design/#reviews)| 9 hours
[Database Management Essentials](https://www.coursera.org/learn/database-management)| weeks

### Cloud Computing

Course|Duration
:--|:--:
[Introduction to Cloud Computing](https://www.edx.org/course/introduction-cloud-computing-ieeex-cloudintro-x-0)| 4 weeks
[Cloud Computing Specialization](https://www.coursera.org/specializations/cloudcomputing)| -

### Cryptography

Course|Duration
:--|:--:
[Cryptography I](https://www.coursera.org/course/crypto)| 6 weeks
[Cryptography II](https://www.coursera.org/course/crypto2)| 6 weeks
[Applied Cryptography](https://www.udacity.com/course/applied-cryptography--cs387)| 8 weeks

### Compilers

Course|Duration
:--|:--:
[Compilers](https://www.coursera.org/course/compilers)| 11 weeks

### UX Design

Course|Duration
:--|:--:
[Interaction Design Specialization](https://www.coursera.org/specializations/interaction-design)| -
[UX Design for Mobile Developers](https://www.udacity.com/course/ux-design-for-mobile-developers--ud849)| 6 weeks

### Artificial Intelligence

Course|Duration
:--|:--:
[Artificial Intelligence](https://www.edx.org/course/artificial-intelligence-uc-berkeleyx-cs188-1x#!)| 12 weeks

### Machine Learning

Course|Duration
:--|:--:
[Practical Machine Learning](https://www.coursera.org/course/predmachlearn)| 4 weeks
[Machine Learning](https://www.coursera.org/learn/machine-learning)| 11 weeks
[Neural Networks for Machine Learning](https://www.coursera.org/course/neuralnets)| 8 weeks

### Natural Language Processing

Course|Duration
:--|:--:
[Natural Language Processing](https://www.coursera.org/course/nlangp)| 10 weeks
[Natural Language Processing](https://www.coursera.org/course/nlp)| 10 weeks

### Internet of Things

Course|Duration
:--|:--:
[An Introduction to Programming the Internet of Things Specialization](https://www.coursera.org/specializations/iot)| -
[Internet of Things Specialization](https://www.coursera.org/specializations/internet-of-things)| -

### Big Data

Course|Duration
:--|:--:
[Big Data Specialization](https://www.coursera.org/specializations/big-data)| -

### Data Mining

Course|Duration
:--|:--:
[Data Mining specialization](https://www.coursera.org/specializations/datamining)| -

## How to use this guide

### Order of the classes

This guide was developed to be consumed in a linear approach. What this means? That you should do one course at a time.

The courses already **are** in the order that you should consume them. Just start in the **Introduction** 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

Maybe to finish all the classes we will spend **more time** than with a regular CS course, but I can **guarantee** to you that your **reward** will be proportional to **your motivation/dedication**!

### How can I track my progress?

You should create a repository on GitHub to put all files that you created for each course.

You can create one repository for each course, or just one repository that will contain all files for all courses. The first option is our preferred approach.

### Cooperative work

**We love cooperative work**! But is quite difficult manage a large base of students with specific projects. Use our channels to communicate with other fellows and to combine and create new projects.

### Which programming languages should I use?

My friend here is the awesome part of the 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 be able to use them with whatever tool (programming language) that you touch.

### Stay tuned

[Watch](https://help.github.com/articles/watching-repositories/) this repository for futures improvements and general information.

## Prerequisite

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

- [Try Git](https://try.github.io/levels/1/challenges/1)
- [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)

**ps**: You don't need to do all that courses. Just pick one of them, learn the minimal because the other things you will learn on the go!

## Next Goals

- Create a slack automatic invitation.
- [Adding 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.

## 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)
- [MIT Open Courseware](http://ocw.mit.edu/courses/#electrical-engineering-and-computer-science)