computer-science README

The project's README from github.com/ossu/computer-science. As one markdown file: README.md.

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Open Source Society University

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

Awesome Open Source Society University - Computer Science

Contents

Summary

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!

How to contribute

Getting help (Details about our FAQ and chatroom)

Community

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

Curriculum

Prerequisites

Intro CS

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

Core CS

All coursework under Core CS is required, unless otherwise indicated.

Core programming

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

Core math

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. Calculus 1C chat

CS Tools

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.

Topics covered: terminals and shell scripting vim command line environments version control and more

Courses Duration Effort Prerequisites Discussion
The Missing Semester of Your CS Education 2 weeks 12 hours/week - chat

Core systems

Topics covered: procedural programming manual memory management boolean algebra gate logic memory computer architecture assembly machine language virtual machines high-level languages compilers operating systems network protocols and more

Courses Duration Effort Additional Text / Assignments Prerequisites Discussion
Build a Modern Computer from First Principles: From Nand to Tetris (alternative) 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 - Nand to Tetris Part II chat
Computer Networking: a Top-Down Approach 8 weeks 4–12 hours/week Wireshark Labs algebra, probability, basic CS chat

Core theory

Topics covered: divide and conquer sorting and searching randomized algorithms graph search shortest paths data structures greedy algorithms minimum spanning trees dynamic programming NP-completeness and more

Courses Duration Effort Prerequisites Discussion
Algorithms: Design and Analysis, Part 1 (alternative) 8 weeks 4-8 hours/week any programming language, Mathematics for Computer Science chat
Algorithms: Design and Analysis, Part 2 8 weeks 4-8 hours/week Algorithms Part 1 chat

Core security

Topics covered Confidentiality, Integrity, Availability Secure Design Defensive Programming Threats and Attacks Network Security Cryptography and more

Courses Duration Effort Prerequisites Discussion
Cybersecurity Fundamentals 8 weeks 10-12 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:

Courses Duration Effort Prerequisites Discussion
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

Core applications

Topics covered: Agile methodology REST software specifications refactoring relational databases transaction processing data modeling neural networks supervised learning unsupervised learning OpenGL ray tracing and more

Courses Duration Effort Prerequisites Discussion
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 9 hours/week Basic coding chat
Computer Graphics (alternative) 6 weeks 12 hours/week C++ or Java, Basic Linear Algebra chat
Software Engineering: Introduction (alternative) 6 weeks 8-10 hours/week Core Programming, and a sizable project chat

Core ethics

Topics covered: Social Context Analytical Tools Professional Ethics Intellectual Property Privacy and Civil Liberties and more

Courses Duration Effort Prerequisites Discussion
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

Advanced CS

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.

Advanced programming

Topics covered: debugging theory and practice goal-oriented programming parallel computing object-oriented analysis and design UML large-scale software architecture and design and more

Courses Duration Effort Prerequisites
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! (alternative)* 12 weeks - -
[Software Debugging](https://www.youtube.com/playlist?list=PLAwxTw4SYaPkxK63TiT88oEe-AIBhr

computer-science (ossu/computer-science)

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210.1K ·GitHub
Computer-science
Что это такое?OSSU Computer Science — это бесплатная программа самостоятельного обучения, которая объединяет лучшие университетские онлайн-курсы (от MIT, Harvard, Princeton и других) в полноценное образование в области информатики, примерно соответствующее программе бакалавриата по компьютерным наукам без общеобразовательных дисциплин.
Это один курс или целая программа?Это структурированная программа на несколько лет, состоящая из множества отдельных МООК и книг, разделённых на этапы: Intro CS, Core CS, Advanced CS и итоговый проект.
С чего мне начать?Начните с вводного курса Intro CS 'Introduction to Computer Science and Programming using Python', чтобы понять, подходит ли вам информатика, а затем переходите к Core CS, проходя курсы по порядку сверху вниз.
Нужна ли предварительная подготовка по математике или программированию?Core CS предполагает, что вы уже знаете школьную математику (алгебру, геометрию, начала анализа); Advanced CS предполагает, что вы прошли весь Core CS, а для Advanced systems дополнительно нужна базовая школьная физика.
Это правда бесплатно и сколько на это уйдёт времени?Материалы курсов бесплатны, но некоторые платформы, например Coursera или edX, могут брать плату за оцениваемые задания или сертификаты (обе предлагают финансовую помощь); на прохождение уходит около 2 лет при нагрузке примерно 20 часов в неделю.
Для кого предназначена эта программа?Она для тех, у кого уже есть опыт или образование вне сферы информатики и кто хочет самостоятельно получить основательное, всестороннее образование в области CS при поддержке мирового сообщества учащихся, а не ориентированную только на карьеру подготовку в буткемпах.
Как выбираются курсы для программы?Курсы должны быть открыты для записи, запускаться регулярно (желательно в режиме самостоятельного темпа), быть высокого качества и соответствовать рекомендациям учебной программы ACM/IEEE CS2013; если подходящего курса нет, его место занимает книга.
Можно ли пропустить курсы Core CS?Проект рекомендует проходить все курсы Core CS, и пропускать какой-либо из них стоит, только если вы точно уверены, что уже освоили этот материал в другом месте.
Есть ли сообщество, с которым можно учиться?Да, в OSSU есть сервер Discord, где студенты обсуждают курсы и получают поддержку, а также GitHub issues для предложения изменений в программе.
Как выбрать курсы по выбору в Advanced CS?Вы выбираете одну предметную область, например Advanced programming или Advanced systems, и проходите все курсы, указанные в этом разделе, либо предлагаете сообществу свою тему.
What are similar projects?open-source-cs, Best-websites-a-programmer-should-visit-zh, free-programming-books, Best-websites-a-programmer-should-visit, cs-self-learning, go, system-design-academy, expert_readed_books
Which topics is it in?courses, curriculum, career, computer-science, programming, html, awesome-list, learning, list, curated-list, resources, education
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ossu
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Updated
CommitJul 14
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Commits · 90 Days