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467 lines
20 KiB
Markdown
467 lines
20 KiB
Markdown
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![Open Source Society University (OSSU)](http://i.imgur.com/h8xjrrj.png)
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<h3 align="center">Open Source Society University</h3>
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<p align="center">
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Path to a free self-taught education in Computer Science!
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</p>
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<p align="center">
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<a href="https://github.com/sindresorhus/awesome">
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<img alt="Awesome" src="https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg">
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</a>
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</p>
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## Contents
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- [About](#about)
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- [Becoming an OSS student](#becoming-an-oss-student)
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- [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)
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- [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 gave preference to MOOC (Massive Open Online Course) style 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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To officially register for this course you must create a profile in our [students profile](https://github.com/open-source-society/computer-science/issues/206) issue.
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> **"How can I do this?"**
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Comment in [this](https://github.com/open-source-society/computer-science/issues/206) issue (please, do **not** open a new one) using the following template:
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```
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- **Name**: YOUR NAME
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- **GitHub**: [@your_username]()
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- **Twitter**: [@your_username]()
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- **Linkedin**: [link]()
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- **Website**: [yourblog.com]()
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## Completed Courses
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**Name of the Section**
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Course|Files
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:--|:--:
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Course Name| [link]()
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```
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**IMPORTANT**: add your profile **only once** and **after** you **finish** each course you can **return** to that issue and **update** your comment.
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**ps**: In the *Completed Courses* section, you should link the repository that contains the files that you created in the respective course.
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> **"Why should I do this?"**
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This is a way to get to know our peers better, and an opportunity to share the things that we have done.
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That is why we are using this strategy. You are free to bypass this if you're not that type.
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## Motivation & Preparation
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Here are two interesting links that can make **all** the difference in your journey.
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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**.
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- [MIT Challenge](http://www.scotthyoung.com/blog/myprojects/mit-challenge-2/)
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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.
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- [Learning How to Learn](https://www.coursera.org/learn/learning-how-to-learn)
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**Are you ready to get started?**
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## Curriculum
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- [Introduction to Computer Science](#introduction-to-computer-science)
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- [Math (Mathematical Thinking)](#math-mathematical-thinking)
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- [Program Design](#program-design)
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- [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)
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- [Math (Calculus)](#math-calculus)
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- [Software Architecture](#software-architecture)
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- [Theory](#theory)
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- [Software Engineering](#software-engineering)
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- [Math (Probability)](#math-probability)
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- [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)
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- [Math (Linear Algebra)](#math-linear-algebra)
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- [Cryptography](#cryptography)
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- [Security](#security)
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- [Compilers](#compilers)
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- [Parallel Computing](#parallel-computing)
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- [UX Design](#ux-design)
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- [Computer Graphics](#computer-graphics)
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- [Artificial Intelligence](#artificial-intelligence)
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- [Machine Learning](#machine-learning)
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- [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 to Computer Science
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Courses | Duration | Effort
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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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:-- | :--: | :--:
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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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Courses | Duration | Effort
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:-- | :--: | :--:
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[Systematic Program Design- Part 1: The Core Method](https://www.edx.org/course/systematic-program-design-part-1-core-ubcx-spd1x-0)| 5 weeks | 8-12 hours/week
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[Systematic Program Design- Part 2: Arbitrary Sized Data](https://www.edx.org/course/how-code-systematic-program-design-part-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)| 12 weeks | 5 hours/week
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### Algorithms
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Courses | Duration | Effort
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[Algorithms, Part I](https://www.coursera.org/course/algs4partI)| 6 weeks | 6-12 hours/week
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[Algorithms, Part II](https://www.coursera.org/course/algs4partII)| 6 weeks | 6-12 hours/week
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[Analysis of Algorithms](https://www.coursera.org/course/aofa)| 6 weeks | 6-8 hours/week
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### Programming Paradigms
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Courses | Duration | Effort
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[Functional Programming Principles in Scala](https://www.coursera.org/course/progfun)| 7 weeks | 5-7 hours/week
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[Principles of Reactive Programming](https://www.coursera.org/course/reactive)| 7 weeks | 5-7 hours/week
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[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
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Courses | Duration | Effort
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[Software Testing](https://www.udacity.com/course/software-testing--cs258)| 4 weeks | 6 hours/week
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[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
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[Calculus One](https://www.coursera.org/learn/calculus1)| 16 weeks | 8-10 hours/week
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[Calculus Two: Sequences and Series](https://www.coursera.org/learn/advanced-calculus)| 7 weeks | 9-10 hours/week
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[Multivariable Calculus](https://www.coursera.org/course/m2o2c2)| 6 weeks | 5-7 hours/week
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### Software Architecture
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Courses | Duration | Effort
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[Web Application Architectures](https://www.coursera.org/course/webapplications)| 6 weeks | 6-9 hours/week
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[Software Architecture & Design](https://www.udacity.com/course/software-architecture-design--ud821)| 8 weeks | 6 hours/week
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### Theory
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Courses | Duration | Effort
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[Automata](https://www.coursera.org/course/automata)| 6 weeks | 8-10 hours/week
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### Software Engineering
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Courses | Duration | Effort
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[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
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[Startup Engineering](https://www.coursera.org/course/startup) | 12 weeks | 2-20 hours/week
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### Math (Probability)
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Courses | Duration | Effort
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[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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### Computer Architecture
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Courses | Duration | Effort
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[The Hardware/Software Interface](https://www.coursera.org/course/hwswinterface)| 8 weeks | 10-15 hours/week
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[Computer Architecture](https://www.coursera.org/course/comparch)| - | 5-8 hours/week
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### Operating Systems
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Courses | Duration | Effort
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[Operating System Engineering](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-828-operating-system-engineering-fall-2012/)| - | -
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[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
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[Introduction to Computer Networking](https://lagunita.stanford.edu/courses/Engineering/Networking-SP/SelfPaced/about) | - | 5-10 hours/week
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[Computer Networks](https://www.coursera.org/course/comnetworks)| - | 4–12 hours/week
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### Databases
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Courses | Duration | Effort
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[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
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[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)
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Courses | Duration | Effort
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[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
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Courses | Duration | Effort
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[Cryptography I](https://www.coursera.org/course/crypto)| 6 weeks | 5-7 hours/week
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[Cryptography II](https://www.coursera.org/course/crypto2)| 6 weeks | 6-8 hours/week
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[Applied Cryptography](https://www.udacity.com/course/applied-cryptography--cs387)| 8 weeks | 6 hours/week
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### Security
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Courses | Duration | Effort
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:-- | :--: | :--:
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[Introduction to Cyber Security](https://www.futurelearn.com/courses/introduction-to-cyber-security) | 8 weeks | 3 hours/week
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### Compilers
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Courses | Duration | Effort
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:-- | :--: | :--:
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[Compilers](https://www.coursera.org/course/compilers)| 9 weeks | 6-8 hours/week
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### Parallel Computing
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Courses | Duration | Effort
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[Heterogeneous Parallel Programming](https://www.coursera.org/course/hetero)| 11 weeks | 8-10 hours/week
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### UX Design
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Courses | Duration | Effort
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[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
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Courses | Duration | Effort
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[Computer Graphics](https://www.edx.org/course/computer-graphics-uc-san-diegox-cse167x)| 6 weeks | 12 hours/week
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### Artificial Intelligence
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Courses | Duration | Effort
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[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
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[Machine Learning](https://www.coursera.org/learn/machine-learning)| 11 weeks | 4-6 hours/week
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### Natural Language Processing
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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
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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
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After finishing the courses above, start your specializations on the topics that you have more interest.
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Search such specializations in the following platforms:
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#### [Coursera](https://www.coursera.org/) | [edX](https://www.edx.org/) | [Udacity](https://www.udacity.com/) | [Future Learn](https://www.futurelearn.com/)
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![keep learning](http://i.imgur.com/REQK0VU.jpg)
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## How to use this guide
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### Order of the classes
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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.**
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### Should I take all courses?
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**Yes!** The intention is to conclude **all** the courses listed here!
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### Duration of the project
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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.
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> See more about "Commit to a process, not a goal" [here](http://jamesclear.com/goals-systems).
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### Project Based
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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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In order to show for everyone that you **successfully** finished a course, you should create a **"startup 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.
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**You can create this project alone or with other students!**
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#### Project Suggestions
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- [Projects](https://github.com/karan/Projects): A list of practical projects that anyone can solve in any programming language.
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- [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.
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- [FreeCodeCamp](http://www.freecodecamp.com/): Course that teaches you fullstack JavaScript development through a bunch of projects.
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- [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!
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This is a **crucial** part of your journey through all those courses.
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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**!
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Here are some tips about how you can do that:
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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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### 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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[Watch](https://help.github.com/articles/watching-repositories/) this repository for futures improvements and general information.
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## Prerequisite
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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-)
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- [GitHub Hello World](https://guides.github.com/activities/hello-world/)
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- [Git Immersion](http://gitimmersion.com/index.html)
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- [How to Use Git and GitHub](https://www.udacity.com/course/how-to-use-git-and-github--ud775)
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## Change Log
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**Curriculum Version**: `1.3.10`
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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.
|
||
|
||
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](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.
|
||
|
||
You can also [fork this project](https://help.github.com/articles/fork-a-repo/) to fix any mistakes that you have found or add new things, and then make a [pull request](https://help.github.com/articles/using-pull-requests/).
|
||
|
||
Let's do it together! =)
|
||
|
||
## Community
|
||
|
||
Subscribe to [/r/opensourcesociety](https://www.reddit.com/r/opensourcesociety/)!
|
||
|
||
Join us in our [group](https://groups.google.com/forum/#!forum/open-source-society-university)!
|
||
|
||
You can also interact through [GitHub issues](https://github.com/open-source-society/computer-science/issues).
|
||
|
||
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)
|
||
|
||
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**.
|
||
|
||
## Next Goals
|
||
|
||
- [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.
|
||
|
||
## 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/)
|
||
- [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/)
|