computer-science

🎓 Path to a free self-taught education in Computer Science!
  • Project URL: https://github.com/ossu/computer-science

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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: - 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 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 be up-to-date with the curriculum. Use the spreadsheet just to estimate the time you need. 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. - 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. Some students choose to study multiple courses at a time in order to vary the material they are working on is a day/week. A popular option is to take the math courses in parallel with the introductory courses. Course prerequisites are listed to help you determine if you are prepared for a given course. - 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; the Discord community may provide feedback on your planned subject.

    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

    • We have a Discord server! Discord 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.
    • Add Open Source Society University to your Linkedin profile!

    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

    Curriculum version: 8.0.0 (see CHANGELOG)


    Prerequisites

    • 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).

    Intro CS

    Introduction to Programming

    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.

    Topics covered: simple programs simple data structures

    Courses | Duration | Effort | Prerequisites | Discussion :-- | :--: | :--: | :--: | :--: Introduction to programming | 10 weeks | 10 hours/week | none | chat

    Introduction to Computer Science

    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!

    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 | 9 weeks | 15 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 Programming Languages, Part A | 5 weeks | 4-8 hours/week | Systematic Program Design (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 Class-based Program Design | 13 weeks | 5-10 hours/week | Systematic Program Design, High School Math | 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 :-- | :--: | :--: | :--: | :--: 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

    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, linear algebra | chat Software Engineering: Introduction | 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| 8 weeks | 6 hours/week | Python, object-oriented programming Software Testing | 4 weeks | 6 hours/week | Python, programming experience

    (*) book by Blackburn, Bos, Striegnitz (compiled from source, redistributed under CC license)

    Advanced systems

    Topics covered: digital signaling combinational logic CMOS technologies sequential logic finite state machines processor instruction sets caches pipelining virtualization parallel processing virtual memory synchronization primitives system call interface and more

    Courses | Duration | Effort | Prerequisites | Notes :-- | :--: | :--: | :--: | :--: Computation Structures 1: Digital Circuits alternative 1 alternative 2 | 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 |

    Advanced theory

    Topics covered: formal languages Turing machines computability event-driven concurrency automata distributed shared memory consensus algorithms state machine replication computational geometry theory propositional logic relational logic Herbrand logic game trees and more

    Courses | Duration | Effort | Prerequisites :-- | :--: | :--: | :--: Theory of Computation (alternative) | 13 weeks | 10 hours/week | Mathematics for Computer Science, logic, algorithms Computational Geometry | 16 weeks | 8 hours/week | algorithms, C++ Game Theory | 8 weeks | 3 hours/week | mathematical thinking, probability, calculus

    Advanced Information Security

    Courses | Duration | Effort | Prerequisites :-- | :--: | :--: | :--: Web Security Fundamentals | 5 weeks | 4-6 hours/week | understanding basic web technologies Security Governance & Compliance | 3 weeks | 3 hours/week | - Digital Forensics Concepts | 3 weeks | 2-3 hours/week | Core Security Secure Software Development: Requirements, Design, and Reuse | 7 weeks | 1-2 hours/week | Core Programming and Core Security Secure Software Development: Implementation | 7 weeks | 1-2 hours/week | Secure Software Development: Requirements, Design, and Reuse Secure Software Development: Verification and More Specialized Topics | 7 weeks | 1-2 hours/week | Secure Software Development: Implementation

    Advanced math

    Courses | Duration | Effort | Prerequisites | Discussion :-- | :--: | :--: | :--: | :--: 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 Formal Logic | 10 weeks | 4-8 hours/week | Set Theory | chat Probability | 15 weeks | 5-10 hours/week | Differentiation and Integration | chat

    Final project

    Part of learning is doing. The assignments and exams for each course are to prepare you to use your knowledge to solve real-world problems.

    After you've completed Core CS and the parts of Advanced CS relevant to you, you should identify a problem that you can solve using the knowledge you've acquired. You can create something entirely new, or you can improve some tool/program that you use and wish were better.

    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):

    Courses | Duration | Effort | Prerequisites :-- | :--: | :--: | :--: 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

    Congratulations

    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.

    keep learning

    Code of conduct

    OSSU's code of conduct.

    How to show your progress

    Fork the GitHub repo into your own GitHub account and put ✅ next to the stuff you've completed as you complete it. This can serve as your kanban board and will be faster to implement than any other solution (giving you time to spend on the courses).

    Team

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