Open Source Society University
Path to a free self-taught education in Computer Science!
The OSSU curriculum is a complete education in computer science using online materials. It's not merely for career training or professional development. It's for those who want a proper, well-rounded grounding in concepts fundamental to all computing disciplines, and for those who have the discipline, will, and (most importantly!) good habits to obtain this education largely on their own, but with support from a worldwide community of fellow learners.
It is designed according to the degree requirements of undergraduate computer science majors, minus general education (non-CS) requirements, as it is assumed most of the people following this curriculum are already educated outside the field of CS. The courses themselves are among the very best in the world, often coming from Harvard, Princeton, MIT, etc., but specifically chosen to meet the following criteria.
- Be open for enrollment
- Run regularly (ideally in self-paced format, otherwise running multiple times per year)
- Be of generally high quality in teaching materials and pedagogical principles
- Match the curricular standards of the CS 2013: Curriculum Guidelines for Undergraduate Degree Programs in Computer Science
When no course meets the above criteria, the coursework is supplemented with a book. When there are courses or books that don't fit into the curriculum but are otherwise of high quality, they belong in extras/courses or extras/readings.
Organization. The curriculum is designed as follows:
- Intro CS: for students to try out CS and see if it's right for them
- Core CS: corresponds roughly to the first three years of a computer science curriculum, taking classes that all majors would be required to take
- Advanced CS: corresponds roughly to the final year of a computer science curriculum, taking electives according to the student's interests
- Final Project: a project for students to validate, consolidate, and display their knowledge, to be evaluated by their peers worldwide
Duration. It is possible to finish within about 2 years if you plan carefully and devote roughly 20 hours/week to your studies. Learners can use this spread
to estimate their end date. Make a copy and input your start date and expected hours per week in the
Timeline sheet. As you work through courses you can enter your actual course completion dates in the
Curriculum Data sheet and get updated completion estimates.
Decide how much or how little to spend based on your own time and budget; just remember that you can't purchase success!
Process. Students can work through the curriculum alone or in groups, in order or out of order.
- We recommend doing all courses in Core CS, only skipping a course when you are certain that you've already learned the material previously.
- For simplicity, we recommend working through courses (especially Core CS) in order from top to bottom, as they have already been topologically sorted by their prerequisites.
- Courses in Advanced CS are electives. Choose one subject (e.g. Advanced programming) you want to become an expert in and take all the courses under that heading. You can also create your own custom subject, but we recommend getting validation from the community on the subject you choose.
Content policy. If you plan on showing off some of your coursework publicly, you must share only files that you are allowed to. Do NOT disrespect the code of conduct that you signed in the beginning of each course!
Getting help (Details about our FAQ and chatroom)
- We have a discord server! This should be your first stop to talk with other OSSU students. Why don't you introduce yourself right now? Join the OSSU Discord
- You can also interact through GitHub issues. If there is a problem with a course, or a change needs to be made to the curriculum, this is the place to start the conversation. Read more here.
- Subscribe to our newsletter.
- Add Open Source Society University to your Linkedin profile!
- Note: There is an unmaintained and deprecated firebase app that you might find when searching OSSU. You can safely ignore it. Read more in the FAQ.
8.0.0 (see CHANGELOG)
- Intro CS
- Core CS
- Advanced CS
- Final project
- Core CS assumes the student has already taken high school math, including algebra, geometry, and pre-calculus.
- Advanced CS assumes the student has already taken the entirety of Core CS
and is knowledgeable enough now to decide which electives to take.
- Note that Advanced systems assumes the student has taken a basic physics course (e.g. AP Physics in high school).
If you've never written a for-loop, or don't know what a string is in programming, start here. This course is self-paced, allowing you to adjust the number of hours you spend per week to meet your needs.
simple data structures
|Python for Everybody||10 weeks||10 hours/week||none||chat|
This course will introduce you to the world of computer science. Students who have been introduced to programming, either from the courses above or through study elsewhere, should take this course for a flavor of the material to come. If you finish the course wanting more, Computer Science is likely for you!
basic data structures and algorithms
|Introduction to Computer Science and Programming using Python (alt)||9 weeks||15 hours/week||high school algebra||chat|
All coursework under Core CS is required, unless otherwise indicated.
design for testing
common design patterns
ML-family languages (via Standard ML)
Lisp-family languages (via Racket)
The How to Code courses are based on the textbook How to Design Programs. The First Edition is available for free online and includes problem sets and solutions. Students are encouraged to do these assignments.
|How to Code - Simple Data||7 weeks||8-10 hours/week||none||chat|
|How to Code - Complex Data||6 weeks||8-10 hours/week||How to Code: Simple Data||chat|
|Programming Languages, Part A||5 weeks||4-8 hours/week||How to Code (Hear instructor)||chat|
|Programming Languages, Part B||3 weeks||4-8 hours/week||Programming Languages, Part A||chat|
|Programming Languages, Part C||3 weeks||4-8 hours/week||Programming Languages, Part B||chat|
|Object-Oriented Design||4 weeks||4 hours/week||Basic Java|
|Design Patterns||4 weeks||4 hours/week||Object-Oriented Design|
|Software Architecture||4 weeks||2-5 hours/week||Design Patterns|
Discrete math (Math for CS) is a prerequisite and closely related to the study of algorithms and data structures. Calculus both prepares students for discrete math and helps students develop mathematical maturity.
|Calculus 1A: Differentiation (alt)||13 weeks||6-10 hours/week||The alternate covers this and the following 2 courses||high school math||chat|
|Calculus 1B: Integration||13 weeks||5-10 hours/week||-||Calculus 1A||chat|
|Calculus 1C: Coordinate Systems & Infinite Series||6 weeks||5-10 hours/week||-||Calculus 1B||chat|
|Mathematics for Computer Science (alt)||13 weeks||5 hours/week||2015/2019 solutions 2010 solutions 2005 solutions.||Calculus 1C||chat|
Understanding theory is important, but you will also be expected to create programs. There are a number of tools that are widely used to make that process easier. Learn them now to ease your future work writing programs.
terminals and shell scripting
command line environments
|The Missing Semester of Your CS Education||2 weeks||12 hours/week||-||chat|
manual memory management
|Courses||Duration||Effort||Additional Text / Assignments||Prerequisites||Discussion|
|Build a Modern Computer from First Principles: From Nand to Tetris (alt)||6 weeks||7-13 hours/week||-||C-like programming language||chat|
|Build a Modern Computer from First Principles: Nand to Tetris Part II||6 weeks||12-18 hours/week||-||one of these programming languages, From Nand to Tetris Part I||chat|
|Operating Systems: Three Easy Pieces||10-12 weeks||6-10 hours/week||-||algorithms, familiarity with C is useful||chat|
|Computer Networking: a Top-Down Approach||8 weeks||4–12 hours/week||Wireshark Labs||algebra, probability, basic CS||chat|
divide and conquer
sorting and searching
minimum spanning trees
|Divide and Conquer, Sorting and Searching, and Randomized Algorithms||4 weeks||4-8 hours/week||any programming language, Mathematics for Computer Science||chat|
|Graph Search, Shortest Paths, and Data Structures||4 weeks||4-8 hours/week||Divide and Conquer, Sorting and Searching, and Randomized Algorithms||chat|
|Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming||4 weeks||4-8 hours/week||Graph Search, Shortest Paths, and Data Structures||chat|
|Shortest Paths Revisited, NP-Complete Problems and What To Do About Them||4 weeks||4-8 hours/week||Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming||chat|
Confidentiality, Integrity, Availability
Threats and Attacks
|Information Security: Context and Introduction||5 weeks||3 hours/week||-||chat|
|Principles of Secure Coding||4 weeks||4 hours/week||-||chat|
|Identifying Security Vulnerabilities||4 weeks||4 hours/week||-||chat|
Choose one of the following:
|Identifying Security Vulnerabilities in C/C++Programming||4 weeks||5 hours/week||-||chat|
|Exploiting and Securing Vulnerabilities in Java Applications||4 weeks||5 hours/week||-||chat|
|Databases: Modeling and Theory||2 weeks||10 hours/week||core programming||chat|
|Databases: Relational Databases and SQL||2 weeks||10 hours/week||core programming||chat|
|Databases: Semistructured Data||2 weeks||10 hours/week||core programming||chat|
|Machine Learning||11 weeks||4-6 hours/week||linear algebra||chat|
|Computer Graphics||6 weeks||12 hours/week||C++ or Java, linear algebra||chat|
|Software Engineering: Introduction||6 weeks||8-10 hours/week||Core Programming, and a sizable project||chat|
Privacy and Civil Liberties
|Ethics, Technology and Engineering||9 weeks||2 hours/week||none||chat|
|Introduction to Intellectual Property||4 weeks||2 hours/week||none||chat|
|Data Privacy Fundamentals||3 weeks||3 hours/week||none||chat|
After completing every required course in Core CS, students should choose a subset of courses from Advanced CS based on interest. Not every course from a subcategory needs to be taken. But students should take every course that is relevant to the field they intend to go into.
debugging theory and practice
object-oriented analysis and design
large-scale software architecture and design
|Parallel Programming||4 weeks||6-8 hours/week||Scala programming|
|Compilers||9 weeks||6-8 hours/week||none|
|Introduction to Haskell||14 weeks||-||-|
|Learn Prolog Now! (alt)*||12 weeks||-||-|
|Software Debugging||8 weeks||6 hours/week||Python, object-oriented programming|
|Software Testing||4 weeks||6 hours/week||Python, programming experience|
finite state machines
processor instruction sets
system call interface
|Computation Structures 1: Digital Circuits alt1 alt2||10 weeks||6 hours/week||Nand2Tetris II||Alternate links contain all 3 courses.|
|Computation Structures 2: Computer Architecture||10 weeks||6 hours/week||Computation Structures 1|
|Computation Structures 3: Computer Organization||10 weeks||6 hours/week||Computation Structures 2|
distributed shared memory
state machine replication
computational geometry theory
|Theory of Computation (Lectures)||8 weeks||10 hours/week||discrete mathematics, logic, algorithms|
|Computational Geometry||16 weeks||8 hours/week||algorithms, C++|
|Game Theory||8 weeks||3 hours/week||mathematical thinking, probability, calculus|
|Essence of Linear Algebra||-||-||high school math||chat|
|Linear Algebra||14 weeks||12 hours/week||corequisite: Essence of Linear Algebra||chat|
|Introduction to Numerical Methods||14 weeks||12 hours/week||Linear Algebra||chat|
|Introduction to Logic||10 weeks||4-8 hours/week||set theory||chat|
|Probability||24 weeks||12 hours/week||Differentiation and Integration||chat|
OSS University is project-focused. The assignments and exams for each course are to prepare you to use your knowledge to solve real-world problems.
After you've gotten through all of Core CS and the parts of Advanced CS relevant to you, you should think about a problem that you can solve using the knowledge you've acquired. Not only does real project work look great on a resume, but the project will also validate and consolidate your knowledge. You can create something entirely new, or you can find an existing project that needs help via websites like CodeTriage or First Timers Only.
Students who would like more guidance in creating a project may choose to use a series of project oriented courses. Here is a sample of options (many more are available, at this point you should be capable of identifying a series that is interesting and relevant to you):
|Fullstack Open||12 weeks||15 hours/week||programming|
|Modern Robotics (Specialization)||26 weeks||2-5 hours/week||freshman-level physics, linear algebra, calculus, linear ordinary differential equations|
|Data Mining (Specialization)||30 weeks||2-5 hours/week||machine learning|
|Big Data (Specialization)||30 weeks||3-5 hours/week||none|
|Internet of Things (Specialization)||30 weeks||1-5 hours/week||strong programming|
|Cloud Computing (Specialization)||30 weeks||2-6 hours/week||C++ programming|
|Data Science (Specialization)||43 weeks||1-6 hours/week||none|
|Functional Programming in Scala (Specialization)||29 weeks||4-5 hours/week||One year programming experience|
|Game Design and Development with Unity 2020 (Specialization)||6 months||5 hours/week||programming, interactive design|
Upon completing your final project:
- Submit your project's information to PROJECTS via a pull request.
- Put the OSSU-CS badge in the README of your repository!
[![Open Source Society University - Computer Science](https://img.shields.io/badge/OSSU-computer--science-blue.svg)](https://github.com/ossu/computer-science)
<a href="https://github.com/ossu/computer-science"><img alt="Open Source Society University - Computer Science" src="https://img.shields.io/badge/OSSU-computer--science-blue.svg"></a>
- Use our community channels to announce it to your fellow students.
Solicit feedback from your OSSU peers. You will not be "graded" in the traditional sense — everyone has their own measurements for what they consider a success. The purpose of the evaluation is to act as your first announcement to the world that you are a computer scientist and to get experience listening to feedback — both positive and negative.
The final project evaluation has a second purpose: to evaluate whether OSSU, through its community and curriculum, is successful in its mission to guide independent learners in obtaining a world-class computer science education.
You can create this project alone or with other students! We love cooperative work! Use our channels to communicate with other fellows to combine and create new projects!
My friend, here is the best part of liberty! You can use any language that you want to complete the final project.
The important thing is to internalize the core concepts and to be able to use them with whatever tool (programming language) that you wish.
After completing the requirements of the curriculum above, you will have completed the equivalent of a full bachelor's degree in Computer Science. Congratulations!
What is next for you? The possibilities are boundless and overlapping:
- Look for a job as a developer!
- Check out the readings for classic books you can read that will sharpen your skills and expand your knowledge.
- Join a local developer meetup (e.g. via meetup.com).
- Pay attention to emerging technologies in the world of software development:
- Explore the actor model through Elixir, a new functional programming language for the web based on the battle-tested Erlang Virtual Machine!
- Explore borrowing and lifetimes through Rust, a systems language which achieves memory- and thread-safety without a garbage collector!
- Explore dependent type systems through Idris, a new Haskell-inspired language with unprecedented support for type-driven development.
See how to copy a board here.
Now that you have a copy of our official board, you just need to pass the cards to the
Doing column or
Done column as you progress in your study.
We also have labels to help you have more control through the process. The meaning of each of these labels is:
Main Curriculum: cards with that label represent courses that are listed in our curriculum.
Extra Resources: cards with that label represent courses that were added by the student.
Doing: cards with that label represent courses the student is currently doing.
Done: cards with that label represent courses finished by the student.
Those cards should also have the link for at least one project/article built with the knowledge acquired in such a course.
Section: cards with that label represent the section that we have in our curriculum.
Those cards with the
Section label are only to help the organization of the Done column.
You should put the Course's cards below its respective Section's card.
The intention of this board is to provide 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. You can change the status of your board to be public or private.
ON THIS PAGE
- Intro CS
- Introduction to Programming
- Introduction to Computer Science
- Core CS
- Core programming
- Core math
- CS Tools
- Core systems
- Core theory
- Core security
- Core applications
- Core ethics
- Advanced CS
- Advanced programming
- Advanced systems
- Advanced theory
- Advanced math
- Final project
- Cooperative work
- Which programming languages should I use?
- Code of conduct
- How to show your progress