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π 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.
Courses must:
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:
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 spreadsheet 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.
Warning: While the spreadsheet is a useful tool to estimate the time you need to complete this curriculum, it may not always be up-to-date with the curriculum. Use the OSSU CS website or the repo to see what courses to do.
Cost. All or nearly all course material is available for free. However, some courses may charge money for assignments/tests/projects to be graded. Note that both Coursera and edX offer financial aid.
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.
Content policy. If you plan on showing off some of your coursework publicly, you must share only files that you are allowed to. Respect the code of conduct that you signed in the beginning of each course!
Getting help (Details about our FAQ and chatroom)
Warning: There are a few third-party/deprecated/outdated material that you might find when searching for OSSU. We recommend you to ignore them, and only use the OSSU CS website or OSSU CS Github Repo. Some known outdated materials are:
- An unmaintained and deprecated firebase app. Read more in the FAQ.
- An unmaintained and deprecated trello board
- Third-party notion templates
This course will introduce you to the world of computer science and programming. This course gives you a flavor of the material to come. If you finish the course wanting more, Computer Science is likely for you!
Topics covered:
computation
imperative programming
basic data structures and algorithms
and more
| Courses | Duration | Effort | Prerequisites | Discussion |
|---|---|---|---|---|
| Introduction to Computer Science and Programming using Python | 14 weeks | 6-10 hours/week | high school algebra | chat |
All coursework under Core CS is required, unless otherwise indicated.
Topics covered:
functional programming
design for testing
program requirements
common design patterns
unit testing
object-oriented design
static typing
dynamic typing
ML-family languages (via Standard ML)
Lisp-family languages (via Racket)
Ruby
and more
| Courses | Duration | Effort | Prerequisites | Discussion |
|---|---|---|---|---|
| Systematic Program Design | 13 weeks | 8-10 hours/week | none | chat: part 1 / part 2 |
| Class-based Program Design | 13 weeks | 5-10 hours/week | Systematic Program Design, High School Math | chat |
| Programming Languages | 11 weeks | 4-8 hours/week | Systematic Program Design | chat |
| Object-Oriented Design | 13 weeks | 5-10 hours/week | Class-based Program Design | chat |
| Software Architecture | 4 weeks | 2-5 hours/week | Object Oriented Design | chat |
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.
Topics covered:
discrete mathematics
mathematical proofs
basic statistics
O-notation
discrete probability
and more
| Courses | Duration | Effort | Notes | Prerequisites | Discussion |
|---|---|---|---|---|---|
| Calculus 1A: Differentiation (alternative) | 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 (alternative) | 13 weeks | 5 hours/week | 2015/2019 solutions 2010 solutions 2005 solutions. |
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 p
| Calculus 1C |
| chat |