🕷️ Crawler Inspector

URL Lookup

Direct Parameter Lookup

Raw Queries and Responses

1. Shard Calculation

Query:

Response:

Calculated Shard: 174 (from laksa089)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa174.int.ahrefs:8124/' \
  -H 'Content-Type: text/plain' \
  -H 'X-ClickHouse-Database: crawler3' \
  -H 'Authorization: Basic YXBpOg==' \
  -d 'SELECT getAhrefsURLFromUnparsed(src_unparsed) AS found_url, ifNull(toUnixTimestamp(download_stamp), 0) AS crawl_time, ifNull(toUnixTimestamp(props_url_first_seen), 0) AS first_indexed_time, download_http_code AS http_code, src_unparsed AS src_unparsed, src_root_hash AS src_root_hash, history_drop_reason AS history_drop_reason, meta_title AS meta_title, meta_descriptions AS meta_descriptions, attrs_boilerpipe_text AS attrs_boilerpipe_text, attrs_markdown AS attrs_markdown, attrs_readable_markdown AS attrs_readable_markdown, meta_canonical AS meta_canonical FROM crawler3.page_info_local FINAL PREWHERE (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://github.com/ossu/computer-science\')), getAhrefsUnparsedNoserviceFromURL(\'https://github.com/ossu/computer-science\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/github.com\/ossu\/computer-science","crawl_time":1776466281,"first_indexed_time":1506587292,"http_code":200,"src_unparsed":"com,github!\/ossu\/computer-science s443","src_root_hash":"6325672905007345774","history_drop_reason":null,"meta_title":"GitHub - ossu\/computer-science: 🎓 Path to a free self-taught education in Computer Science! · GitHub","meta_descriptions":["🎓 Path to a free self-taught education in Computer Science! - ossu\/computer-science"],"attrs_boilerpipe_text":"Open Source Society University\nPath to a free self-taught education in Computer Science!\nContents\nSummary\nCommunity\nCurriculum\nCode of conduct\nTeam\nSummary\nThe OSSU curriculum is a\ncomplete education in computer science\nusing online materials.\nIt's not merely for career training or professional development.\nIt's for those who want a proper,\nwell-rounded\ngrounding in concepts fundamental to all computing disciplines,\nand for those who have the discipline, will, and (most importantly!) good habits to obtain this education largely on their own,\nbut with support from a worldwide community of fellow learners.\nIt is designed according to the degree requirements of undergraduate computer science majors, minus general education (non-CS) requirements,\nas it is assumed most of the people following this curriculum are already educated outside the field of CS.\nThe courses themselves are among the very best in the world, often coming from Harvard, Princeton, MIT, etc.,\nbut specifically chosen to meet the following criteria.\nCourses must\n:\nBe open for enrollment\nRun regularly (ideally in self-paced format, otherwise running multiple times per year)\nBe of generally high quality in teaching materials and pedagogical principles\nMatch the curricular standards of the\nCS 2013\n: Curriculum Guidelines for Undergraduate Degree Programs in Computer Science\nWhen no course meets the above criteria, the coursework is supplemented with a book.\nWhen there are courses or books that don't fit into the curriculum but are otherwise of high quality,\nthey belong in\nextras\/courses\nor\nextras\/readings\n.\nOrganization\n. The curriculum is designed as follows:\nIntro CS\n: for students to try out CS and see if it's right for them\nCore CS\n: corresponds roughly to the first three years of a computer science curriculum, taking classes that all majors would be required to take\nAdvanced CS\n: corresponds roughly to the final year of a computer science curriculum, taking electives according to the student's interests\nFinal Project\n: a project for students to validate, consolidate, and display their knowledge, to be evaluated by their peers worldwide\nDuration\n. 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\nthis spreadsheet\nto estimate their end date. Make a copy and input your start date and expected hours per week in the\nTimeline\nsheet. As you work through courses you can enter your actual course completion dates in the\nCurriculum Data\nsheet and get updated completion estimates.\nWarning:\nWhile 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\nOSSU CS website\nor\nthe repo\nto see what courses to do.\nCost\n. All or nearly all course material is available for free. However, some courses may charge money for assignments\/tests\/projects to be graded.\nNote that both\nCoursera\nand\nedX\noffer financial aid.\nDecide how much or how little to spend based on your own time and budget;\njust remember that you can't purchase success!\nProcess\n. Students can work through the curriculum alone or in groups, in order or out of order.\nWe recommend doing all courses in Core CS, only skipping a course when you are certain that you've already learned the material previously.\nFor 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 in 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.\nCourses 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.\nContent policy\n. If you plan on showing off some of your coursework publicly, you must share only files that you are allowed to.\nRespect the code of conduct\nthat you signed in the beginning of each course!\nHow to contribute\nGetting help\n(Details about our FAQ and chatroom)\nCommunity\nWe have a Discord server!\nThis should be your first stop to talk with other OSSU students. Why don't you introduce yourself right now?\nJoin the OSSU Discord\nYou 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\nhere\n.\nAdd\nOpen Source Society University\nto your\nLinkedin\nprofile!\nWarning:\nThere 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\nOSSU CS website\nor\nOSSU CS Github Repo\n. Some known outdated materials are:\nAn unmaintained and deprecated firebase app. Read more in the\nFAQ\n.\nAn unmaintained and deprecated trello board\nThird-party notion templates\nCurriculum\nPrerequisites\nIntro CS\nCore CS\nCore programming\nCore math\nCS Tools\nCore systems\nCore theory\nCore security\nCore applications\nCore ethics\nAdvanced CS\nAdvanced programming\nAdvanced systems\nAdvanced theory\nAdvanced information security\nAdvanced math\nFinal project\nPrerequisites\nCore CS\nassumes the student has already taken\nhigh school math\n, including algebra, geometry, and pre-calculus.\nAdvanced CS\nassumes the student has already taken the entirety of Core CS\nand is knowledgeable enough now to decide which electives to take.\nNote that\nAdvanced systems\nassumes the student has taken a basic physics course (e.g. AP Physics in high school).\nIntro CS\nThis 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!\nTopics covered\n:\ncomputation\nimperative programming\nbasic data structures and algorithms\nand more\nCourses\nDuration\nEffort\nPrerequisites\nDiscussion\nIntroduction to Computer Science and Programming using Python\n14 weeks\n6-10 hours\/week\nhigh school algebra\nchat\nCore CS\nAll coursework under Core CS is\nrequired\n, unless otherwise indicated.\nCore programming\nTopics covered\n:\nfunctional programming\ndesign for testing\nprogram requirements\ncommon design patterns\nunit testing\nobject-oriented design\nstatic typing\ndynamic typing\nML-family languages (via Standard ML)\nLisp-family languages (via Racket)\nRuby\nand more\nCourses\nDuration\nEffort\nPrerequisites\nDiscussion\nSystematic Program Design\n13 weeks\n8-10 hours\/week\nnone\nchat:\npart 1\n\/\npart 2\nClass-based Program Design\n13 weeks\n5-10 hours\/week\nSystematic Program Design, High School Math\nchat\nProgramming Languages\n11 weeks\n4-8 hours\/week\nSystematic Program Design\nchat\nObject-Oriented Design\n13 weeks\n5-10 hours\/week\nClass-based Program Design\nchat\nSoftware Architecture\n4 weeks\n2-5 hours\/week\nObject Oriented Design\nchat\nCore math\nDiscrete 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.\nTopics covered\n:\ndiscrete mathematics\nmathematical proofs\nbasic statistics\nO-notation\ndiscrete probability\nand more\nCourses\nDuration\nEffort\nNotes\nPrerequisites\nDiscussion\nCalculus 1A: Differentiation\n(\nalternative\n)\n13 weeks\n6-10 hours\/week\nThe alternate covers this and the following 2 courses\nhigh school math\nchat\nCalculus 1B: Integration\n13 weeks\n5-10 hours\/week\n-\nCalculus 1A\nchat\nCalculus 1C: Coordinate Systems & Infinite Series\n6 weeks\n5-10 hours\/week\n-\nCalculus 1B\nchat\nMathematics for Computer Science\n(\nalternative\n)\n13 weeks\n5 hours\/week\n2015\/2019 solutions\n2010 solutions\n2005 solutions\n.\nCalculus 1C\nchat\nCS Tools\nUnderstanding 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.\nTopics covered\n:\nterminals and shell scripting\nvim\ncommand line environments\nversion control\nand more\nCourses\nDuration\nEffort\nPrerequisites\nDiscussion\nThe Missing Semester of Your CS Education\n2 weeks\n12 hours\/week\n-\nchat\nCore systems\nTopics covered\n:\nprocedural programming\nmanual memory management\nboolean algebra\ngate logic\nmemory\ncomputer architecture\nassembly\nmachine language\nvirtual machines\nhigh-level languages\ncompilers\noperating systems\nnetwork protocols\nand more\nCourses\nDuration\nEffort\nAdditional Text \/ Assignments\nPrerequisites\nDiscussion\nBuild a Modern Computer from First Principles: From Nand to Tetris\n(\nalternative\n)\n6 weeks\n7-13 hours\/week\n-\nC-like programming language\nchat\nBuild a Modern Computer from First Principles: Nand to Tetris Part II\n6 weeks\n12-18 hours\/week\n-\none of\nthese programming languages\n, From Nand to Tetris Part I\nchat\nOperating Systems: Three Easy Pieces\n10-12 weeks\n6-10 hours\/week\n-\nNand to Tetris Part II\nchat\nComputer Networking: a Top-Down Approach\n8 weeks\n4–12 hours\/week\nWireshark Labs\nalgebra, probability, basic CS\nchat\nCore theory\nTopics covered\n:\ndivide and conquer\nsorting and searching\nrandomized algorithms\ngraph search\nshortest paths\ndata structures\ngreedy algorithms\nminimum spanning trees\ndynamic programming\nNP-completeness\nand more\nCourses\nDuration\nEffort\nPrerequisites\nDiscussion\nAlgorithms: Design and Analysis, Part 1\n(\nalternative\n)\n8 weeks\n4-8 hours\/week\nany programming language, Mathematics for Computer Science\nchat\nAlgorithms: Design and Analysis, Part 2\n8 weeks\n4-8 hours\/week\nAlgorithms Part 1\nchat\nCore security\nTopics covered\nConfidentiality, Integrity, Availability\nSecure Design\nDefensive Programming\nThreats and Attacks\nNetwork Security\nCryptography\nand more\nCourses\nDuration\nEffort\nPrerequisites\nDiscussion\nCybersecurity Fundamentals\n8 weeks\n10-12 hours\/week\n-\nchat\nPrinciples of Secure Coding\n4 weeks\n4 hours\/week\n-\nchat\nIdentifying Security Vulnerabilities\n4 weeks\n4 hours\/week\n-\nchat\nChoose\none\nof the following:\nCourses\nDuration\nEffort\nPrerequisites\nDiscussion\nIdentifying Security Vulnerabilities in C\/C++ Programming\n4 weeks\n5 hours\/week\n-\nchat\nExploiting and Securing Vulnerabilities in Java Applications\n4 weeks\n5 hours\/week\n-\nchat\nCore applications\nTopics covered\n:\nAgile methodology\nREST\nsoftware specifications\nrefactoring\nrelational databases\ntransaction processing\ndata modeling\nneural networks\nsupervised learning\nunsupervised learning\nOpenGL\nray tracing\nand more\nCourses\nDuration\nEffort\nPrerequisites\nDiscussion\nDatabases: Modeling and Theory\n2 weeks\n10 hours\/week\ncore programming\nchat\nDatabases: Relational Databases and SQL\n2 weeks\n10 hours\/week\ncore programming\nchat\nDatabases: Semistructured Data\n2 weeks\n10 hours\/week\ncore programming\nchat\nMachine Learning\n11 weeks\n9 hours\/week\nBasic coding\nchat\nComputer Graphics\n(\nalternative\n)\n6 weeks\n12 hours\/week\nC++ or Java,\nBasic Linear Algebra\nchat\nSoftware Engineering: Introduction\n(\nalternative\n)\n6 weeks\n8-10 hours\/week\nCore Programming, and a\nsizable project\nchat\nCore ethics\nTopics covered\n:\nSocial Context\nAnalytical Tools\nProfessional Ethics\nIntellectual Property\nPrivacy and Civil Liberties\nand more\nCourses\nDuration\nEffort\nPrerequisites\nDiscussion\nEthics, Technology and Engineering\n9 weeks\n2 hours\/week\nnone\nchat\nIntroduction to Intellectual Property\n4 weeks\n2 hours\/week\nnone\nchat\nData Privacy Fundamentals\n3 weeks\n3 hours\/week\nnone\nchat\nAdvanced CS\nAfter completing\nevery required course\nin Core CS, students should choose a subset of courses from Advanced CS based on interest.\nNot every course from a subcategory needs to be taken.\nBut students should take\nevery\ncourse that is relevant to the field they intend to go into.\nAdvanced programming\nTopics covered\n:\ndebugging theory and practice\ngoal-oriented programming\nparallel computing\nobject-oriented analysis and design\nUML\nlarge-scale software architecture and design\nand more\nCourses\nDuration\nEffort\nPrerequisites\nParallel Programming\n4 weeks\n6-8 hours\/week\nScala programming\nCompilers\n9 weeks\n6-8 hours\/week\nnone\nIntroduction to Haskell\n14 weeks\n-\n-\nLearn Prolog Now!\n(\nalternative\n)*\n12 weeks\n-\n-\nSoftware Debugging\n8 weeks\n6 hours\/week\nPython, object-oriented programming\nSoftware Testing\n4 weeks\n6 hours\/week\nPython, programming experience\n(*) book by Blackburn, Bos, Striegnitz (compiled from\nsource\n, redistributed under\nCC license\n)\nAdvanced systems\nTopics covered\n:\ndigital signaling\ncombinational logic\nCMOS technologies\nsequential logic\nfinite state machines\nprocessor instruction sets\ncaches\npipelining\nvirtualization\nparallel processing\nvirtual memory\nsynchronization primitives\nsystem call interface\nand more\nCourses\nDuration\nEffort\nPrerequisites\nNotes\nComputation Structures 1: Digital Circuits\nalternative 1\nalternative 2\n10 weeks\n6 hours\/week\nNand2Tetris II\nAlternate links contain all 3 courses.\nComputation Structures 2: Computer Architecture\n10 weeks\n6 hours\/week\nComputation Structures 1\n-\nComputation Structures 3: Computer Organization\n10 weeks\n6 hours\/week\nComputation Structures 2\n-\nAdvanced theory\nTopics covered\n:\nformal languages\nTuring machines\ncomputability\nevent-driven concurrency\nautomata\ndistributed shared memory\nconsensus algorithms\nstate machine replication\ncomputational geometry theory\npropositional logic\nrelational logic\nHerbrand logic\ngame trees\nand more\nCourses\nDuration\nEffort\nPrerequisites\nTheory of Computation\n(\nalternative\n)\n13 weeks\n10 hours\/week\nMathematics for Computer Science\n, logic, algorithms\nComputational Geometry\n16 weeks\n8 hours\/week\nalgorithms, C++\nAlgorithmic Game Theory\n10 weeks\n12 hours\/week\nCore Theory\nAdvanced Information Security\nCourses\nDuration\nEffort\nPrerequisites\nWeb Security Fundamentals\n5 weeks\n4-6 hours\/week\nunderstanding basic web technologies\nSecurity Governance & Compliance\n3 weeks\n3 hours\/week\n-\nDigital Forensics Concepts\n3 weeks\n2-3 hours\/week\nCore Security\nSecure Software Development: Requirements, Design, and Reuse\n7 weeks\n1-2 hours\/week\nCore Programming and Core Security\nSecure Software Development: Implementation\n7 weeks\n1-2 hours\/week\nSecure Software Development: Requirements, Design, and Reuse\nSecure Software Development: Verification and More Specialized Topics\n7 weeks\n1-2 hours\/week\nSecure Software Development: Implementation\nAdvanced math\nCourses\nDuration\nEffort\nPrerequisites\nDiscussion\nEssence of Linear Algebra\n-\n-\nhigh school math\nchat\nLinear Algebra\n14 weeks\n12 hours\/week\ncorequisite: Essence of Linear Algebra\nchat\nIntroduction to Numerical Methods\n14 weeks\n12 hours\/week\nLinear Algebra\nchat\nIntroduction to Formal Logic\n10 weeks\n4-8 hours\/week\nSet Theory\nchat\nProbability\n15 weeks\n5-10 hours\/week\nDifferentiation and Integration\nchat\nFinal project\nPart of learning is doing.\nThe assignments and exams for each course are to prepare you to use your knowledge to solve real-world problems.\nAfter you've completed Core CS and the parts of Advanced CS relevant to you,\nyou should identify a problem that you can solve using the knowledge you've acquired.\nYou can create something entirely new, or you can improve some tool\/program that you use and wish were better.\nStudents who would like more guidance in creating a project may choose to use a series of project oriented courses.\nHere is a sample of options\n(many more are available, at this point you should be capable of identifying a series that is interesting and relevant to you):\nCourses\nDuration\nEffort\nPrerequisites\nFullstack Open\n12 weeks\n15 hours\/week\nprogramming\nModern Robotics\n26 weeks\n2-5 hours\/week\nfreshman-level physics, linear algebra, calculus,\nlinear ordinary differential equations\nData Mining (Specialization)\n30 weeks\n2-5 hours\/week\nmachine learning\nBig Data (Specialization)\n30 weeks\n3-5 hours\/week\nnone\nInternet of Things (Specialization)\n30 weeks\n1-5 hours\/week\nstrong programming\nCloud Computing (Specialization)\n30 weeks\n2-6 hours\/week\nC++ programming\nData Science (Specialization)\n43 weeks\n1-6 hours\/week\nnone\nFunctional Programming in Scala (Specialization)\n29 weeks\n4-5 hours\/week\nOne year programming experience\nGame Design and Development with Unity 2020 (Specialization)\n6 months\n5 hours\/week\nprogramming, interactive design\nCongratulations\nAfter completing the requirements of the curriculum above,\nyou will have completed the equivalent of a full bachelor's degree in Computer Science.\nCongratulations!\nWhat is next for you? The possibilities are boundless and overlapping:\nLook for a job as a developer!\nCheck out the\nreadings\nfor classic books you can read that will sharpen your skills and expand your knowledge.\nJoin a local developer meetup (e.g. via\nmeetup.com\n).\nPay attention to emerging technologies in the world of software development:\nExplore the\nactor model\nthrough\nElixir\n, a new functional programming language for the web based on the battle-tested Erlang Virtual Machine!\nExplore\nborrowing and lifetimes\nthrough\nRust\n, a systems language which achieves memory- and thread-safety without a garbage collector!\nExplore\ndependent type systems\nthrough\nIdris\n, a new Haskell-inspired language with unprecedented support for type-driven development.\nCode of conduct\nOSSU's code of conduct\n.\nHow to show your progress\nFork\nthe\nGitHub repo\ninto your own GitHub account and put ✅ next to the stuff you've completed as you complete it. This can serve as your\nkanban board\nand will be faster to implement than any other solution (giving you time to spend on the courses).\nTeam\nEric Douglas\n: founder of OSSU\nJosh Hanson\n: lead technical maintainer\nWaciuma Wanjohi\n: lead academic maintainer\nContributors","attrs_markdown":"[Skip to content](https:\/\/github.com\/ossu\/computer-science#start-of-content)\n\n## Navigation Menu\nToggle navigation\n\n[Sign in](https:\/\/github.com\/login?return_to=https%3A%2F%2Fgithub.com%2Fossu%2Fcomputer-science)\n\nAppearance settings\n\n- Platform\n  \n  - AI CODE CREATION\n    \n    - [GitHub CopilotWrite better code with AI](https:\/\/github.com\/features\/copilot)\n    - [GitHub SparkBuild and deploy intelligent apps](https:\/\/github.com\/features\/spark)\n    - [GitHub ModelsManage and compare prompts](https:\/\/github.com\/features\/models)\n    - [MCP RegistryNewIntegrate external tools](https:\/\/github.com\/mcp)\n  - DEVELOPER WORKFLOWS\n    \n    - [ActionsAutomate any workflow](https:\/\/github.com\/features\/actions)\n    - 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[Reload](https:\/\/github.com\/ossu\/computer-science) to refresh your session.\n\nDismiss alert\n\n[ossu](https:\/\/github.com\/ossu)   \/  **[computer-science](https:\/\/github.com\/ossu\/computer-science)**  Public\n\n- [Notifications](https:\/\/github.com\/login?return_to=%2Fossu%2Fcomputer-science)\n  You must be signed in to change notification settings\n- [Fork 25.3k](https:\/\/github.com\/login?return_to=%2Fossu%2Fcomputer-science)\n- [Star 203k](https:\/\/github.com\/login?return_to=%2Fossu%2Fcomputer-science)\n\n- [Code](https:\/\/github.com\/ossu\/computer-science)\n- [Issues 14](https:\/\/github.com\/ossu\/computer-science\/issues)\n- [Pull requests 7](https:\/\/github.com\/ossu\/computer-science\/pulls)\n- [Actions](https:\/\/github.com\/ossu\/computer-science\/actions)\n- [Projects](https:\/\/github.com\/ossu\/computer-science\/projects)\n- [Wiki](https:\/\/github.com\/ossu\/computer-science\/wiki)\n- [Security and quality 0](https:\/\/github.com\/ossu\/computer-science\/security)\n- [Insights](https:\/\/github.com\/ossu\/computer-science\/pulse)\n\nAdditional navigation options\n\n- [Code](https:\/\/github.com\/ossu\/computer-science)\n- [Issues](https:\/\/github.com\/ossu\/computer-science\/issues)\n- [Pull requests](https:\/\/github.com\/ossu\/computer-science\/pulls)\n- [Actions](https:\/\/github.com\/ossu\/computer-science\/actions)\n- [Projects](https:\/\/github.com\/ossu\/computer-science\/projects)\n- [Wiki](https:\/\/github.com\/ossu\/computer-science\/wiki)\n- [Security and quality](https:\/\/github.com\/ossu\/computer-science\/security)\n- [Insights](https:\/\/github.com\/ossu\/computer-science\/pulse)\n\n# ossu\/computer-science\nmaster\n\n[**10** Branches](https:\/\/github.com\/ossu\/computer-science\/branches)\n\n[**5** Tags](https:\/\/github.com\/ossu\/computer-science\/tags)\n\nGo to file\n\nCode\n\nOpen more actions menu\n\n## Folders and files\n| Name | Name | Last commit message | Last commit date |\n|---|---|---|---|\n| Latest commit [![kevintprivett](https:\/\/avatars.githubusercontent.com\/u\/5846251?v=4&size=40)](https:\/\/github.com\/kevintprivett)[kevintprivett](https:\/\/github.com\/ossu\/computer-science\/commits?author=kevintprivett) [Fix space invaders demo link (](https:\/\/github.com\/ossu\/computer-science\/commit\/67a99b01e027fd22fc630e44232c1e154fe104e2)[\\#1410](https:\/\/github.com\/ossu\/computer-science\/pull\/1410)[)](https:\/\/github.com\/ossu\/computer-science\/commit\/67a99b01e027fd22fc630e44232c1e154fe104e2) Open commit details success Apr 15, 2026 [67a99b0](https:\/\/github.com\/ossu\/computer-science\/commit\/67a99b01e027fd22fc630e44232c1e154fe104e2) · Apr 15, 2026 History [1,104 Commits](https:\/\/github.com\/ossu\/computer-science\/commits\/master\/) Open commit details 1,104 Commits |   |   |   |\n\n## Repository files navigation\n- [README](https:\/\/github.com\/ossu\/computer-science)\n- [Contributing](https:\/\/github.com\/ossu\/computer-science)\n- [MIT license](https:\/\/github.com\/ossu\/computer-science)\n\n[![Open Source Society logo](https:\/\/github.com\/ossu\/computer-science\/raw\/master\/images\/ossu-logo.webp)](https:\/\/github.com\/ossu\/computer-science\/blob\/master\/images\/ossu-logo.webp)\n\n### Open Source Society University\nPath to a free self-taught education in Computer Science\\!\n\n[![Awesome](https:\/\/camo.githubusercontent.com\/2727609d8bfde9ba1a95be1449eb878bfafa4d76789ba05661857e2c8ac70fa1\/68747470733a2f2f63646e2e7261776769742e636f6d2f73696e647265736f726875732f617765736f6d652f643733303566333864323966656437386661383536353265336136336531353464643865383832392f6d656469612f62616467652e737667)](https:\/\/github.com\/sindresorhus\/awesome)  [![Open Source Society University - Computer Science](https:\/\/camo.githubusercontent.com\/3105e2e394b747c64be1dd4609779ba4226b372ee03fac11f360f1db992822a4\/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f4f5353552d636f6d70757465722d2d736369656e63652d626c75652e737667)](https:\/\/github.com\/ossu\/computer-science)\n# Contents\n- [Summary](https:\/\/github.com\/ossu\/computer-science#summary)\n- [Community](https:\/\/github.com\/ossu\/computer-science#community)\n- [Curriculum](https:\/\/github.com\/ossu\/computer-science#curriculum)\n- [Code of conduct](https:\/\/github.com\/ossu\/computer-science#code-of-conduct)\n- [Team](https:\/\/github.com\/ossu\/computer-science#team)\n# Summary\nThe 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.\n\nIt 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.\n\n**Courses must**:\n\n- Be open for enrollment\n- Run regularly (ideally in self-paced format, otherwise running multiple times per year)\n- Be of generally high quality in teaching materials and pedagogical principles\n- Match the curricular standards of the [CS 2013](https:\/\/github.com\/ossu\/computer-science\/blob\/master\/CURRICULAR_GUIDELINES.md): Curriculum Guidelines for Undergraduate Degree Programs in Computer Science\n\nWhen 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](https:\/\/github.com\/ossu\/computer-science\/blob\/master\/extras\/courses.md) or [extras\/readings](https:\/\/github.com\/ossu\/computer-science\/blob\/master\/extras\/readings.md).\n\n**Organization**. The curriculum is designed as follows:\n\n- *Intro CS*: for students to try out CS and see if it's right for them\n- *Core CS*: corresponds roughly to the first three years of a computer science curriculum, taking classes that all majors would be required to take\n- *Advanced CS*: corresponds roughly to the final year of a computer science curriculum, taking electives according to the student's interests\n- *Final Project*: a project for students to validate, consolidate, and display their knowledge, to be evaluated by their peers worldwide\n\n**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](https:\/\/docs.google.com\/spreadsheets\/d\/1y2kMsIg9VaHMVmw35x_aH1hpty3V-ZMuV2jA13P_Cgo\/copy) 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.\n\n> **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](https:\/\/cs.ossu.dev\/) or [the repo](https:\/\/github.com\/ossu\/computer-science) to see what courses to do.\n\n**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](https:\/\/www.coursera.support\/s\/article\/209819033-Apply-for-Financial-Aid-or-a-Scholarship?language=en_US) and [edX](https:\/\/courses.edx.org\/financial-assistance\/) offer financial aid.\n\nDecide how much or how little to spend based on your own time and budget; just remember that you can't purchase success\\!\n\n**Process**. Students can work through the curriculum alone or in groups, in order or out of order.\n\n- We recommend doing all courses in Core CS, only skipping a course when you are certain that you've already learned the material previously.\n- 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 in 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.\n- 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.\n\n**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\\!\n\n**[How to contribute](https:\/\/github.com\/ossu\/computer-science\/blob\/master\/CONTRIBUTING.md)**\n\n**[Getting help](https:\/\/github.com\/ossu\/computer-science\/blob\/master\/HELP.md)** (Details about our FAQ and chatroom)\n\n# Community\n- We have a Discord server! [![Discord](https:\/\/camo.githubusercontent.com\/a594abd0ae3f7711e00760d52217d80d754c1ec32119eb16e8e3a58660ab8b9a\/68747470733a2f2f696d672e736869656c64732e696f2f646973636f72642f3734343338353030393032383433313934332e7376673f6c6162656c3d266c6f676f3d646973636f7264266c6f676f436f6c6f723d66666666666626636f6c6f723d373338394438266c6162656c436f6c6f723d364137454332)](https:\/\/discord.gg\/wuytwK5s9h) This should be your first stop to talk with other OSSU students. Why don't you introduce yourself right now? [Join the OSSU Discord](https:\/\/discord.gg\/wuytwK5s9h)\n- 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](https:\/\/github.com\/ossu\/computer-science\/blob\/master\/CONTRIBUTING.md).\n- Add **Open Source Society University** to your [Linkedin](https:\/\/www.linkedin.com\/school\/11272443\/) profile\\!\n\n> **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](https:\/\/cs.ossu.dev\/) or [OSSU CS Github Repo](https:\/\/github.com\/ossu\/computer-science). Some known outdated materials are:\n> \n> - An unmaintained and deprecated firebase app. Read more in the [FAQ](https:\/\/github.com\/ossu\/computer-science\/blob\/master\/FAQ.md#why-is-the-firebase-ossu-app-different-or-broken).\n> - An unmaintained and deprecated trello board\n> - Third-party notion templates\n# Curriculum\n- [Prerequisites](https:\/\/github.com\/ossu\/computer-science#prerequisites)\n- [Intro CS](https:\/\/github.com\/ossu\/computer-science#intro-cs)\n- [Core CS](https:\/\/github.com\/ossu\/computer-science#core-cs)\n  - [Core programming](https:\/\/github.com\/ossu\/computer-science#core-programming)\n  - [Core math](https:\/\/github.com\/ossu\/computer-science#core-math)\n  - [CS Tools](https:\/\/github.com\/ossu\/computer-science#cs-tools)\n  - [Core systems](https:\/\/github.com\/ossu\/computer-science#core-systems)\n  - [Core theory](https:\/\/github.com\/ossu\/computer-science#core-theory)\n  - [Core security](https:\/\/github.com\/ossu\/computer-science#core-security)\n  - [Core applications](https:\/\/github.com\/ossu\/computer-science#core-applications)\n  - [Core ethics](https:\/\/github.com\/ossu\/computer-science#core-ethics)\n- [Advanced CS](https:\/\/github.com\/ossu\/computer-science#advanced-cs)\n  - [Advanced programming](https:\/\/github.com\/ossu\/computer-science#advanced-programming)\n  - [Advanced systems](https:\/\/github.com\/ossu\/computer-science#advanced-systems)\n  - [Advanced theory](https:\/\/github.com\/ossu\/computer-science#advanced-theory)\n  - [Advanced information security](https:\/\/github.com\/ossu\/computer-science#advanced-information-security)\n  - [Advanced math](https:\/\/github.com\/ossu\/computer-science#advanced-math)\n- [Final project](https:\/\/github.com\/ossu\/computer-science#final-project)\n***\n## Prerequisites\n- [Core CS](https:\/\/github.com\/ossu\/computer-science#core-cs) assumes the student has already taken [high school math](https:\/\/ossu.dev\/precollege-math), including algebra, geometry, and pre-calculus.\n- [Advanced CS](https:\/\/github.com\/ossu\/computer-science#advanced-cs) assumes the student has already taken the entirety of Core CS and is knowledgeable enough now to decide which electives to take.\n- Note that [Advanced systems](https:\/\/github.com\/ossu\/computer-science#advanced-systems) assumes the student has taken a basic physics course (e.g. AP Physics in high school).\n## Intro CS\nThis 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\\!\n\n**Topics covered**: `computation` `imperative programming` `basic data structures and algorithms` `and more`\n\n| Courses | Duration | Effort | Prerequisites | Discussion |\n|---|---|---|---|---|\n| [Introduction to Computer Science and Programming using Python](https:\/\/github.com\/ossu\/computer-science\/blob\/master\/coursepages\/intro-cs\/README.md) | 14 weeks | 6-10 hours\/week | [high school algebra](https:\/\/ossu.dev\/precollege-math) | [chat](https:\/\/discord.gg\/jvchSm9) |\n## Core CS\nAll coursework under Core CS is **required**, unless otherwise indicated.\n\n### Core programming\n**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`\n\n| Courses | Duration | Effort | Prerequisites | Discussion |\n|---|---|---|---|---|\n| [Systematic Program Design](https:\/\/github.com\/ossu\/computer-science\/blob\/master\/coursepages\/spd\/README.md) | 13 weeks | 8-10 hours\/week | none | chat: [part 1](https:\/\/discord.gg\/RfqAmGJ) \/ [part 2](https:\/\/discord.gg\/kczJzpm) |\n| [Class-based Program Design](https:\/\/github.com\/ossu\/computer-science\/blob\/master\/coursepages\/class-based\/README.md) | 13 weeks | 5-10 hours\/week | Systematic Program Design, High School Math | [chat](https:\/\/discord.com\/channels\/744385009028431943\/891411727294562314) |\n| [Programming Languages](https:\/\/courses.cs.washington.edu\/courses\/cse341\/19sp\/#lectures) | 11 weeks | 4-8 hours\/week | Systematic Program Design | [chat](https:\/\/discord.gg\/8BkJtXN) |\n| [Object-Oriented Design](https:\/\/course.ccs.neu.edu\/cs3500f19\/) | 13 weeks | 5-10 hours\/week | Class-based Program Design | [chat](https:\/\/discord.com\/channels\/744385009028431943\/891412022120579103) |\n| [Software Architecture](https:\/\/www.coursera.org\/learn\/software-architecture) | 4 weeks | 2-5 hours\/week | Object Oriented Design | [chat](https:\/\/discord.com\/channels\/744385009028431943\/891412169638432788) |\n### Core math\nDiscrete 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.\n\n**Topics covered**: `discrete mathematics` `mathematical proofs` `basic statistics` `O-notation` `discrete probability` `and more`\n\n| Courses | Duration | Effort | Notes | Prerequisites | Discussion |\n|---|---|---|---|---|---|\n| [Calculus 1A: Differentiation](https:\/\/openlearninglibrary.mit.edu\/courses\/course-v1:MITx+18.01.1x+2T2019\/about) ([alternative](https:\/\/ocw.mit.edu\/courses\/mathematics\/18-01sc-single-variable-calculus-fall-2010\/index.htm)) | 13 weeks | 6-10 hours\/week | The alternate covers this and the following 2 courses | [high school math](https:\/\/ossu.dev\/precollege-math) | [chat](https:\/\/discord.gg\/mPCt45F) |\n| [Calculus 1B: Integration](https:\/\/openlearninglibrary.mit.edu\/courses\/course-v1:MITx+18.01.2x+3T2019\/about) | 13 weeks | 5-10 hours\/week | \\- | Calculus 1A | [chat](https:\/\/discord.gg\/sddAsZg) |\n| [Calculus 1C: Coordinate Systems & Infinite Series](https:\/\/openlearninglibrary.mit.edu\/courses\/course-v1:MITx+18.01.3x+1T2020\/about) | 6 weeks | 5-10 hours\/week | \\- | Calculus 1B | [chat](https:\/\/discord.gg\/FNEcNNq) |\n| [Mathematics for Computer Science](https:\/\/openlearninglibrary.mit.edu\/courses\/course-v1:OCW+6.042J+2T2019\/about) ([alternative](https:\/\/ocw.mit.edu\/courses\/6-042j-mathematics-for-computer-science-fall-2010\/)) | 13 weeks | 5 hours\/week | [2015\/2019 solutions](https:\/\/github.com\/spamegg1\/Math-for-CS-solutions) [2010 solutions](https:\/\/github.com\/frevib\/mit-cs-math-6042-fall-2010-problems) [2005 solutions](https:\/\/ocw.mit.edu\/courses\/electrical-engineering-and-computer-science\/6-042j-mathematics-for-computer-science-fall-2005\/assignments\/). | Calculus 1C | [chat](https:\/\/discord.gg\/EuTzNbF) |\n### CS Tools\nUnderstanding 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.\n\n**Topics covered**: `terminals and shell scripting` `vim` `command line environments` `version control` `and more`\n\n| Courses | Duration | Effort | Prerequisites | Discussion |\n|---|---|---|---|---|\n| [The Missing Semester of Your CS Education](https:\/\/missing.csail.mit.edu\/) | 2 weeks | 12 hours\/week | \\- | [chat](https:\/\/discord.gg\/5FvKycS) |\n### Core systems\n**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`\n\n| Courses | Duration | Effort | Additional Text \/ Assignments | Prerequisites | Discussion |\n|---|---|---|---|---|---|\n| [Build a Modern Computer from First Principles: From Nand to Tetris](https:\/\/www.coursera.org\/learn\/build-a-computer) ([alternative](https:\/\/www.nand2tetris.org\/)) | 6 weeks | 7-13 hours\/week | \\- | C-like programming language | [chat](https:\/\/discord.gg\/vxB2DRV) |\n| [Build a Modern Computer from First Principles: Nand to Tetris Part II](https:\/\/www.coursera.org\/learn\/nand2tetris2) | 6 weeks | 12-18 hours\/week | \\- | one of [these programming languages](https:\/\/user-images.githubusercontent.com\/2046800\/35426340-f6ce6358-026a-11e8-8bbb-4e95ac36b1d7.png), From Nand to Tetris Part I | [chat](https:\/\/discord.gg\/AsUXcPu) |\n| [Operating Systems: Three Easy Pieces](https:\/\/github.com\/ossu\/computer-science\/blob\/master\/coursepages\/ostep\/README.md) | 10-12 weeks | 6-10 hours\/week | \\- | Nand to Tetris Part II | [chat](https:\/\/discord.gg\/wZNgpep) |\n| [Computer Networking: a Top-Down Approach](http:\/\/gaia.cs.umass.edu\/kurose_ross\/online_lectures.htm) | 8 weeks | 4–12 hours\/week | [Wireshark Labs](http:\/\/gaia.cs.umass.edu\/kurose_ross\/wireshark.php) | algebra, probability, basic CS | [chat](https:\/\/discord.gg\/MJ9YXyV) |\n### Core theory\n**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`\n\n| Courses | Duration | Effort | Prerequisites | Discussion |\n|---|---|---|---|---|\n| [Algorithms: Design and Analysis, Part 1](https:\/\/www.edx.org\/learn\/algorithms\/stanford-university-algorithms-design-and-analysis-part-1) ([alternative](https:\/\/www.algorithmsilluminated.org\/)) | 8 weeks | 4-8 hours\/week | any programming language, Mathematics for Computer Science | [chat](https:\/\/discord.gg\/mKRS7tY) |\n| [Algorithms: Design and Analysis, Part 2](https:\/\/www.edx.org\/learn\/algorithms\/stanford-university-algorithms-design-and-analysis-part-2) | 8 weeks | 4-8 hours\/week | Algorithms Part 1 | [chat](https:\/\/discord.gg\/Qstqe4t) |\n### Core security\n**Topics covered** `Confidentiality, Integrity, Availability` `Secure Design` `Defensive Programming` `Threats and Attacks` `Network Security` `Cryptography` `and more`\n\n| Courses | Duration | Effort | Prerequisites | Discussion |\n|---|---|---|---|---|\n| [Cybersecurity Fundamentals](https:\/\/www.edx.org\/learn\/cybersecurity\/rochester-institute-of-technology-cybersecurity-fundamentals) | 8 weeks | 10-12 hours\/week | \\- | [chat](https:\/\/discord.gg\/XdY3AwTFK4) |\n| [Principles of Secure Coding](https:\/\/www.coursera.org\/learn\/secure-coding-principles) | 4 weeks | 4 hours\/week | \\- | [chat](https:\/\/discord.gg\/5gMdeSK) |\n| [Identifying Security Vulnerabilities](https:\/\/www.coursera.org\/learn\/identifying-security-vulnerabilities) | 4 weeks | 4 hours\/week | \\- | [chat](https:\/\/discord.gg\/V78MjUS) |\n\nChoose **one** of the following:\n\n| Courses | Duration | Effort | Prerequisites | Discussion |\n|---|---|---|---|---|\n| [Identifying Security Vulnerabilities in C\/C++ Programming](https:\/\/www.coursera.org\/learn\/identifying-security-vulnerabilities-c-programming) | 4 weeks | 5 hours\/week | \\- | [chat](https:\/\/discord.gg\/Vbxce7A) |\n| [Exploiting and Securing Vulnerabilities in Java Applications](https:\/\/www.coursera.org\/learn\/exploiting-securing-vulnerabilities-java-applications) | 4 weeks | 5 hours\/week | \\- | [chat](https:\/\/discord.gg\/QxC22rR) |\n### Core applications\n**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`\n\n| Courses | Duration | Effort | Prerequisites | Discussion |\n|---|---|---|---|---|\n| [Databases: Modeling and Theory](https:\/\/www.edx.org\/learn\/databases\/stanford-university-databases-modeling-and-theory) | 2 weeks | 10 hours\/week | core programming | [chat](https:\/\/discord.gg\/pMFqNf4) |\n| [Databases: Relational Databases and SQL](https:\/\/www.edx.org\/learn\/relational-databases\/stanford-university-databases-relational-databases-and-sql) | 2 weeks | 10 hours\/week | core programming | [chat](https:\/\/discord.gg\/P8SPPyF) |\n| [Databases: Semistructured Data](https:\/\/www.edx.org\/learn\/relational-databases\/stanford-university-databases-semistructured-data) | 2 weeks | 10 hours\/week | core programming | [chat](https:\/\/discord.gg\/duCJ3GN) |\n| [Machine Learning](https:\/\/www.deeplearning.ai\/courses\/machine-learning-specialization\/) | 11 weeks | 9 hours\/week | Basic coding | [chat](https:\/\/discord.gg\/NcXHDjy) |\n| [Computer Graphics](https:\/\/www.edx.org\/learn\/computer-graphics\/the-university-of-california-san-diego-computer-graphics) ([alternative](https:\/\/cseweb.ucsd.edu\/~viscomp\/classes\/cse167\/wi22\/schedule.html)) | 6 weeks | 12 hours\/week | C++ or Java, [Basic Linear Algebra](https:\/\/ossu.dev\/precollege-math\/coursepages\/precalculus) | [chat](https:\/\/discord.gg\/68WqMNV) |\n| [Software Engineering: Introduction](https:\/\/www.edx.org\/learn\/software-engineering\/university-of-british-columbia-software-engineering-introduction) ([alternative](https:\/\/github.com\/ubccpsc\/310\/blob\/main\/resources\/README.md)) | 6 weeks | 8-10 hours\/week | Core Programming, and a [sizable project](https:\/\/github.com\/ossu\/computer-science\/blob\/master\/FAQ.md#why-require-experience-with-a-sizable-project-before-the-Software-Engineering-courses) | [chat](https:\/\/discord.gg\/5Qtcwtz) |\n### Core ethics\n**Topics covered**: `Social Context` `Analytical Tools` `Professional Ethics` `Intellectual Property` `Privacy and Civil Liberties` `and more`\n\n| Courses | Duration | Effort | Prerequisites | Discussion |\n|---|---|---|---|---|\n| [Ethics, Technology and Engineering](https:\/\/www.coursera.org\/learn\/ethics-technology-engineering) | 9 weeks | 2 hours\/week | none | [chat](https:\/\/discord.gg\/6ttjPmzZbe) |\n| [Introduction to Intellectual Property](https:\/\/www.coursera.org\/learn\/introduction-intellectual-property) | 4 weeks | 2 hours\/week | none | [chat](https:\/\/discord.gg\/YbuERswpAK) |\n| [Data Privacy Fundamentals](https:\/\/www.coursera.org\/learn\/northeastern-data-privacy) | 3 weeks | 3 hours\/week | none | [chat](https:\/\/discord.gg\/64J34ajNBd) |\n## Advanced CS\nAfter 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.\n\n### Advanced programming\n**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`\n\n| Courses | Duration | Effort | Prerequisites |\n|---|---|---|---|\n| [Parallel Programming](https:\/\/www.coursera.org\/learn\/scala-parallel-programming) | 4 weeks | 6-8 hours\/week | Scala programming |\n| [Compilers](https:\/\/www.edx.org\/learn\/computer-science\/stanford-university-compilers) | 9 weeks | 6-8 hours\/week | none |\n| [Introduction to Haskell](https:\/\/www.seas.upenn.edu\/~cis194\/fall16\/) | 14 weeks | \\- | \\- |\n| [Learn Prolog Now\\!](https:\/\/www.let.rug.nl\/bos\/lpn\/\/lpnpage.php?pageid=online) ([alternative](https:\/\/github.com\/ossu\/computer-science\/files\/6085884\/lpn.pdf))\\* | 12 weeks | \\- | \\- |\n| [Software Debugging](https:\/\/www.youtube.com\/playlist?list=PLAwxTw4SYaPkxK63TiT88oEe-AIBhr96A) | 8 weeks | 6 hours\/week | Python, object-oriented programming |\n| [Software Testing](https:\/\/www.youtube.com\/playlist?list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g) | 4 weeks | 6 hours\/week | Python, programming experience |\n\n(\\*) book by Blackburn, Bos, Striegnitz (compiled from [source](https:\/\/github.com\/LearnPrologNow\/lpn), redistributed under [CC license](https:\/\/creativecommons.org\/licenses\/by-sa\/4.0\/))\n\n### Advanced systems\n**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`\n\n| Courses | Duration | Effort | Prerequisites | Notes |\n|---|---|---|---|---|\n| [Computation Structures 1: Digital Circuits](https:\/\/learning.edx.org\/course\/course-v1:MITx+6.004.1x_3+3T2016) [alternative 1](https:\/\/ocw.mit.edu\/courses\/6-004-computation-structures-spring-2017\/) [alternative 2](https:\/\/ocw.mit.edu\/courses\/6-004-computation-structures-spring-2009\/) | 10 weeks | 6 hours\/week | [Nand2Tetris II](https:\/\/www.coursera.org\/learn\/nand2tetris2) | Alternate links contain all 3 courses. |\n| [Computation Structures 2: Computer Architecture](https:\/\/learning.edx.org\/course\/course-v1:MITx+6.004.2x+3T2015) | 10 weeks | 6 hours\/week | Computation Structures 1 | \\- |\n| [Computation Structures 3: Computer Organization](https:\/\/learning.edx.org\/course\/course-v1:MITx+6.004.3x_2+1T2017) | 10 weeks | 6 hours\/week | Computation Structures 2 | \\- |\n### Advanced theory\n**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`\n\n| Courses | Duration | Effort | Prerequisites |\n|---|---|---|---|\n| [Theory of Computation](https:\/\/ocw.mit.edu\/courses\/18-404j-theory-of-computation-fall-2020\/) ([alternative](https:\/\/www.youtube.com\/playlist?list=PLEE7DF8F5E0203A56)) | 13 weeks | 10 hours\/week | [Mathematics for Computer Science](https:\/\/openlearninglibrary.mit.edu\/courses\/course-v1:OCW+6.042J+2T2019\/about), logic, algorithms |\n| [Computational Geometry](https:\/\/www.edx.org\/learn\/geometry\/tsinghua-university-ji-suan-ji-he-computational-geometry) | 16 weeks | 8 hours\/week | algorithms, C++ |\n| [Algorithmic Game Theory](https:\/\/timroughgarden.org\/f13\/f13.html) | 10 weeks | 12 hours\/week | Core Theory |\n### Advanced Information Security\n| Courses | Duration | Effort | Prerequisites |\n|---|---|---|---|\n| [Web Security Fundamentals](https:\/\/www.edx.org\/learn\/computer-security\/ku-leuven-web-security-fundamentals) | 5 weeks | 4-6 hours\/week | understanding basic web technologies |\n| [Security Governance & Compliance](https:\/\/www.coursera.org\/learn\/security-governance-compliance) | 3 weeks | 3 hours\/week | \\- |\n| [Digital Forensics Concepts](https:\/\/www.coursera.org\/learn\/digital-forensics-concepts) | 3 weeks | 2-3 hours\/week | Core Security |\n| [Secure Software Development: Requirements, Design, and Reuse](https:\/\/www.edx.org\/learn\/software-development\/the-linux-foundation-secure-software-development-requirements-design-and-reuse) | 7 weeks | 1-2 hours\/week | Core Programming and Core Security |\n| [Secure Software Development: Implementation](https:\/\/www.edx.org\/learn\/software-development\/the-linux-foundation-secure-software-development-implementation) | 7 weeks | 1-2 hours\/week | Secure Software Development: Requirements, Design, and Reuse |\n| [Secure Software Development: Verification and More Specialized Topics](https:\/\/www.edx.org\/learn\/software-engineering\/the-linux-foundation-secure-software-development-verification-and-more-specialized-topics) | 7 weeks | 1-2 hours\/week | Secure Software Development: Implementation |\n### Advanced math\n| Courses | Duration | Effort | Prerequisites | Discussion |\n|---|---|---|---|---|\n| [Essence of Linear Algebra](https:\/\/www.youtube.com\/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab) | \\- | \\- | [high school math](https:\/\/ossu.dev\/precollege-math) | [chat](https:\/\/discord.gg\/m6wHbP6) |\n| [Linear Algebra](https:\/\/ocw.mit.edu\/courses\/mathematics\/18-06sc-linear-algebra-fall-2011\/) | 14 weeks | 12 hours\/week | corequisite: Essence of Linear Algebra | [chat](https:\/\/discord.gg\/k7nSWJH) |\n| [Introduction to Numerical Methods](https:\/\/ocw.mit.edu\/courses\/mathematics\/18-335j-introduction-to-numerical-methods-spring-2019\/index.htm) | 14 weeks | 12 hours\/week | [Linear Algebra](https:\/\/ocw.mit.edu\/courses\/mathematics\/18-06sc-linear-algebra-fall-2011\/) | [chat](https:\/\/discord.gg\/FNEcNNq) |\n| [Introduction to Formal Logic](https:\/\/forallx.openlogicproject.org\/) | 10 weeks | 4-8 hours\/week | [Set Theory](https:\/\/www.youtube.com\/playlist?list=PL5KkMZvBpo5AH_5GpxMiryJT6Dkj32H6N) | [chat](https:\/\/discord.gg\/MbM2Gg5) |\n| [Probability](https:\/\/stat110.hsites.harvard.edu\/) | 15 weeks | 5-10 hours\/week | [Differentiation and Integration](https:\/\/www.edx.org\/course\/calculus-1b-integration) | [chat](https:\/\/discord.gg\/UVjs9BU) |\n## Final project\nPart of learning is doing. The assignments and exams for each course are to prepare you to use your knowledge to solve real-world problems.\n\nAfter 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.\n\nStudents 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):\n\n| Courses | Duration | Effort | Prerequisites |\n|---|---|---|---|\n| [Fullstack Open](https:\/\/fullstackopen.com\/en\/) | 12 weeks | 15 hours\/week | programming |\n| [Modern Robotics](https:\/\/modernrobotics.northwestern.edu\/) | 26 weeks | 2-5 hours\/week | freshman-level physics, linear algebra, calculus, [linear ordinary differential equations](https:\/\/www.khanacademy.org\/math\/differential-equations) |\n| [Data Mining (Specialization)](https:\/\/www.coursera.org\/specializations\/data-mining) | 30 weeks | 2-5 hours\/week | machine learning |\n| [Big Data (Specialization)](https:\/\/www.coursera.org\/specializations\/big-data) | 30 weeks | 3-5 hours\/week | none |\n| [Internet of Things (Specialization)](https:\/\/www.coursera.org\/specializations\/internet-of-things) | 30 weeks | 1-5 hours\/week | strong programming |\n| [Cloud Computing (Specialization)](https:\/\/www.coursera.org\/specializations\/cloud-computing) | 30 weeks | 2-6 hours\/week | C++ programming |\n| [Data Science (Specialization)](https:\/\/www.coursera.org\/specializations\/jhu-data-science) | 43 weeks | 1-6 hours\/week | none |\n| [Functional Programming in Scala (Specialization)](https:\/\/www.coursera.org\/specializations\/scala) | 29 weeks | 4-5 hours\/week | One year programming experience |\n| [Game Design and Development with Unity 2020 (Specialization)](https:\/\/www.coursera.org\/specializations\/game-design-and-development) | 6 months | 5 hours\/week | programming, interactive design |\n## Congratulations\nAfter completing the requirements of the curriculum above, you will have completed the equivalent of a full bachelor's degree in Computer Science. Congratulations\\!\n\nWhat is next for you? The possibilities are boundless and overlapping:\n\n- Look for a job as a developer\\!\n- Check out the [readings](https:\/\/github.com\/ossu\/computer-science\/blob\/master\/extras\/readings.md) for classic books you can read that will sharpen your skills and expand your knowledge.\n- Join a local developer meetup (e.g. via [meetup.com](https:\/\/www.meetup.com\/)).\n- Pay attention to emerging technologies in the world of software development:\n  - Explore the **actor model** through [Elixir](https:\/\/elixir-lang.org\/), a new functional programming language for the web based on the battle-tested Erlang Virtual Machine\\!\n  - Explore **borrowing and lifetimes** through [Rust](https:\/\/www.rust-lang.org\/), a systems language which achieves memory- and thread-safety without a garbage collector\\!\n  - Explore **dependent type systems** through [Idris](https:\/\/www.idris-lang.org\/), a new Haskell-inspired language with unprecedented support for type-driven development.\n\n[![keep learning](https:\/\/github.com\/ossu\/computer-science\/raw\/master\/images\/keep-learning.webp)](https:\/\/github.com\/ossu\/computer-science\/blob\/master\/images\/keep-learning.webp)\n\n# Code of conduct\n[OSSU's code of conduct](https:\/\/github.com\/ossu\/code-of-conduct).\n\n## How to show your progress\n[Fork](https:\/\/www.freecodecamp.org\/news\/how-to-fork-a-github-repository\/) the [GitHub repo](https:\/\/github.com\/ossu\/computer-science) 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](https:\/\/en.wikipedia.org\/wiki\/Kanban_board) and will be faster to implement than any other solution (giving you time to spend on the courses).\n\n# Team\n- **[Eric Douglas](https:\/\/github.com\/ericdouglas)**: founder of OSSU\n- **[Josh Hanson](https:\/\/github.com\/joshmhanson)**: lead technical maintainer\n- **[Waciuma Wanjohi](https:\/\/github.com\/waciumawanjohi)**: lead academic maintainer\n- **[Contributors](https:\/\/github.com\/ossu\/computer-science\/graphs\/contributors)**\n\n## About\n🎓 Path to a free self-taught education in Computer Science\\!\n\n[cs.ossu.dev](https:\/\/cs.ossu.dev\/ \"https:\/\/cs.ossu.dev\")\n\n### Topics\n[computer-science](https:\/\/github.com\/topics\/computer-science \"Topic: computer-science\")   [curriculum](https:\/\/github.com\/topics\/curriculum \"Topic: curriculum\")   [courses](https:\/\/github.com\/topics\/courses \"Topic: courses\")   [awesome-list](https:\/\/github.com\/topics\/awesome-list \"Topic: awesome-list\")\n\n### Resources\n[Readme](https:\/\/github.com\/ossu\/computer-science#readme-ov-file)\n\n### License\n[MIT license](https:\/\/github.com\/ossu\/computer-science#MIT-1-ov-file)\n\n### Contributing\n[Contributing](https:\/\/github.com\/ossu\/computer-science#contributing-ov-file)\n\n### Uh oh\\!\nThere was an error while loading. [Please reload this page](https:\/\/github.com\/ossu\/computer-science).\n\n[Activity](https:\/\/github.com\/ossu\/computer-science\/activity)\n\n[Custom properties](https:\/\/github.com\/ossu\/computer-science\/custom-properties)\n\n### Stars\n[**203k** stars](https:\/\/github.com\/ossu\/computer-science\/stargazers)\n\n### Watchers\n[**5\\.9k** watching](https:\/\/github.com\/ossu\/computer-science\/watchers)\n\n### Forks\n[**25\\.3k** forks](https:\/\/github.com\/ossu\/computer-science\/forks)\n\n[Report repository](https:\/\/github.com\/contact\/report-content?content_url=https%3A%2F%2Fgithub.com%2Fossu%2Fcomputer-science&report=ossu+%28user%29)\n\n## [Releases](https:\/\/github.com\/ossu\/computer-science\/releases)\n[5 tags](https:\/\/github.com\/ossu\/computer-science\/tags)\n\n## [Packages 0](https:\/\/github.com\/orgs\/ossu\/packages?repo_name=computer-science)\nNo packages published\n\n### Uh oh\\!\nThere was an error while loading. [Please reload this page](https:\/\/github.com\/ossu\/computer-science).\n\n## [Contributors](https:\/\/github.com\/ossu\/computer-science\/graphs\/contributors)\n### Uh oh\\!\nThere was an error while loading. [Please reload this page](https:\/\/github.com\/ossu\/computer-science).\n\n## Languages\n- [HTML 100.0%](https:\/\/github.com\/ossu\/computer-science\/search?l=html)\n\n## Footer\n© 2026 GitHub, Inc.\n\n### Footer navigation\n- [Terms](https:\/\/docs.github.com\/site-policy\/github-terms\/github-terms-of-service)\n- [Privacy](https:\/\/docs.github.com\/site-policy\/privacy-policies\/github-privacy-statement)\n- [Security](https:\/\/github.com\/security)\n- [Status](https:\/\/www.githubstatus.com\/)\n- [Community](https:\/\/github.community\/)\n- [Docs](https:\/\/docs.github.com\/)\n- [Contact](https:\/\/support.github.com\/?tags=dotcom-footer)\n- Manage cookies\n- Do not share my personal information\n\nYou can’t perform that action at this time.","attrs_readable_markdown":"[![Open Source Society logo](https:\/\/github.com\/ossu\/computer-science\/raw\/master\/images\/ossu-logo.webp)](https:\/\/github.com\/ossu\/computer-science\/blob\/master\/images\/ossu-logo.webp)\n\nOpen Source Society University\n\nPath to a free self-taught education in Computer Science\\!\n\n[![Awesome](https:\/\/camo.githubusercontent.com\/2727609d8bfde9ba1a95be1449eb878bfafa4d76789ba05661857e2c8ac70fa1\/68747470733a2f2f63646e2e7261776769742e636f6d2f73696e647265736f726875732f617765736f6d652f643733303566333864323966656437386661383536353265336136336531353464643865383832392f6d656469612f62616467652e737667)](https:\/\/github.com\/sindresorhus\/awesome)  [![Open Source Society University - Computer Science](https:\/\/camo.githubusercontent.com\/3105e2e394b747c64be1dd4609779ba4226b372ee03fac11f360f1db992822a4\/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f4f5353552d636f6d70757465722d2d736369656e63652d626c75652e737667)](https:\/\/github.com\/ossu\/computer-science)\n\nContents\n\n- [Summary](https:\/\/github.com\/ossu\/computer-science#summary)\n- [Community](https:\/\/github.com\/ossu\/computer-science#community)\n- [Curriculum](https:\/\/github.com\/ossu\/computer-science#curriculum)\n- [Code of conduct](https:\/\/github.com\/ossu\/computer-science#code-of-conduct)\n- [Team](https:\/\/github.com\/ossu\/computer-science#team)\n\nSummary\n\nThe 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.\n\nIt 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.\n\n**Courses must**:\n\n- Be open for enrollment\n- Run regularly (ideally in self-paced format, otherwise running multiple times per year)\n- Be of generally high quality in teaching materials and pedagogical principles\n- Match the curricular standards of the [CS 2013](https:\/\/github.com\/ossu\/computer-science\/blob\/master\/CURRICULAR_GUIDELINES.md): Curriculum Guidelines for Undergraduate Degree Programs in Computer Science\n\nWhen 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](https:\/\/github.com\/ossu\/computer-science\/blob\/master\/extras\/courses.md) or [extras\/readings](https:\/\/github.com\/ossu\/computer-science\/blob\/master\/extras\/readings.md).\n\n**Organization**. The curriculum is designed as follows:\n\n- *Intro CS*: for students to try out CS and see if it's right for them\n- *Core CS*: corresponds roughly to the first three years of a computer science curriculum, taking classes that all majors would be required to take\n- *Advanced CS*: corresponds roughly to the final year of a computer science curriculum, taking electives according to the student's interests\n- *Final Project*: a project for students to validate, consolidate, and display their knowledge, to be evaluated by their peers worldwide\n\n**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](https:\/\/docs.google.com\/spreadsheets\/d\/1y2kMsIg9VaHMVmw35x_aH1hpty3V-ZMuV2jA13P_Cgo\/copy) 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.\n\n> **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](https:\/\/cs.ossu.dev\/) or [the repo](https:\/\/github.com\/ossu\/computer-science) to see what courses to do.\n\n**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](https:\/\/www.coursera.support\/s\/article\/209819033-Apply-for-Financial-Aid-or-a-Scholarship?language=en_US) and [edX](https:\/\/courses.edx.org\/financial-assistance\/) offer financial aid.\n\nDecide how much or how little to spend based on your own time and budget; just remember that you can't purchase success\\!\n\n**Process**. Students can work through the curriculum alone or in groups, in order or out of order.\n\n- We recommend doing all courses in Core CS, only skipping a course when you are certain that you've already learned the material previously.\n- 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 in 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.\n- 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.\n\n**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\\!\n\n**[How to contribute](https:\/\/github.com\/ossu\/computer-science\/blob\/master\/CONTRIBUTING.md)**\n\n**[Getting help](https:\/\/github.com\/ossu\/computer-science\/blob\/master\/HELP.md)** (Details about our FAQ and chatroom)\n\nCommunity\n\n- We have a Discord server! [![Discord](https:\/\/camo.githubusercontent.com\/a594abd0ae3f7711e00760d52217d80d754c1ec32119eb16e8e3a58660ab8b9a\/68747470733a2f2f696d672e736869656c64732e696f2f646973636f72642f3734343338353030393032383433313934332e7376673f6c6162656c3d266c6f676f3d646973636f7264266c6f676f436f6c6f723d66666666666626636f6c6f723d373338394438266c6162656c436f6c6f723d364137454332)](https:\/\/discord.gg\/wuytwK5s9h) This should be your first stop to talk with other OSSU students. Why don't you introduce yourself right now? [Join the OSSU Discord](https:\/\/discord.gg\/wuytwK5s9h)\n- 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](https:\/\/github.com\/ossu\/computer-science\/blob\/master\/CONTRIBUTING.md).\n- Add **Open Source Society University** to your [Linkedin](https:\/\/www.linkedin.com\/school\/11272443\/) profile\\!\n\n> **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](https:\/\/cs.ossu.dev\/) or [OSSU CS Github Repo](https:\/\/github.com\/ossu\/computer-science). Some known outdated materials are:\n> \n> - An unmaintained and deprecated firebase app. Read more in the [FAQ](https:\/\/github.com\/ossu\/computer-science\/blob\/master\/FAQ.md#why-is-the-firebase-ossu-app-different-or-broken).\n> - An unmaintained and deprecated trello board\n> - Third-party notion templates\n\nCurriculum\n\n- [Prerequisites](https:\/\/github.com\/ossu\/computer-science#prerequisites)\n- [Intro CS](https:\/\/github.com\/ossu\/computer-science#intro-cs)\n- [Core CS](https:\/\/github.com\/ossu\/computer-science#core-cs)\n  - [Core programming](https:\/\/github.com\/ossu\/computer-science#core-programming)\n  - [Core math](https:\/\/github.com\/ossu\/computer-science#core-math)\n  - [CS Tools](https:\/\/github.com\/ossu\/computer-science#cs-tools)\n  - [Core systems](https:\/\/github.com\/ossu\/computer-science#core-systems)\n  - [Core theory](https:\/\/github.com\/ossu\/computer-science#core-theory)\n  - [Core security](https:\/\/github.com\/ossu\/computer-science#core-security)\n  - [Core applications](https:\/\/github.com\/ossu\/computer-science#core-applications)\n  - [Core ethics](https:\/\/github.com\/ossu\/computer-science#core-ethics)\n- [Advanced CS](https:\/\/github.com\/ossu\/computer-science#advanced-cs)\n  - [Advanced programming](https:\/\/github.com\/ossu\/computer-science#advanced-programming)\n  - [Advanced systems](https:\/\/github.com\/ossu\/computer-science#advanced-systems)\n  - [Advanced theory](https:\/\/github.com\/ossu\/computer-science#advanced-theory)\n  - [Advanced information security](https:\/\/github.com\/ossu\/computer-science#advanced-information-security)\n  - [Advanced math](https:\/\/github.com\/ossu\/computer-science#advanced-math)\n- [Final project](https:\/\/github.com\/ossu\/computer-science#final-project)\n***\nPrerequisites\n\n- [Core CS](https:\/\/github.com\/ossu\/computer-science#core-cs) assumes the student has already taken [high school math](https:\/\/ossu.dev\/precollege-math), including algebra, geometry, and pre-calculus.\n- [Advanced CS](https:\/\/github.com\/ossu\/computer-science#advanced-cs) assumes the student has already taken the entirety of Core CS and is knowledgeable enough now to decide which electives to take.\n- Note that [Advanced systems](https:\/\/github.com\/ossu\/computer-science#advanced-systems) assumes the student has taken a basic physics course (e.g. AP Physics in high school).\n\nIntro CS\n\nThis 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\\!\n\n**Topics covered**: `computation` `imperative programming` `basic data structures and algorithms` `and more`\n\n| Courses | Duration | Effort | Prerequisites | Discussion |\n|---|---|---|---|---|\n| [Introduction to Computer Science and Programming using Python](https:\/\/github.com\/ossu\/computer-science\/blob\/master\/coursepages\/intro-cs\/README.md) | 14 weeks | 6-10 hours\/week | [high school algebra](https:\/\/ossu.dev\/precollege-math) | [chat](https:\/\/discord.gg\/jvchSm9) |\n\nCore CS\n\nAll coursework under Core CS is **required**, unless otherwise indicated.\n\nCore programming\n\n**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`\n\n| Courses | Duration | Effort | Prerequisites | Discussion |\n|---|---|---|---|---|\n| [Systematic Program Design](https:\/\/github.com\/ossu\/computer-science\/blob\/master\/coursepages\/spd\/README.md) | 13 weeks | 8-10 hours\/week | none | chat: [part 1](https:\/\/discord.gg\/RfqAmGJ) \/ [part 2](https:\/\/discord.gg\/kczJzpm) |\n| [Class-based Program Design](https:\/\/github.com\/ossu\/computer-science\/blob\/master\/coursepages\/class-based\/README.md) | 13 weeks | 5-10 hours\/week | Systematic Program Design, High School Math | [chat](https:\/\/discord.com\/channels\/744385009028431943\/891411727294562314) |\n| [Programming Languages](https:\/\/courses.cs.washington.edu\/courses\/cse341\/19sp\/#lectures) | 11 weeks | 4-8 hours\/week | Systematic Program Design | [chat](https:\/\/discord.gg\/8BkJtXN) |\n| [Object-Oriented Design](https:\/\/course.ccs.neu.edu\/cs3500f19\/) | 13 weeks | 5-10 hours\/week | Class-based Program Design | [chat](https:\/\/discord.com\/channels\/744385009028431943\/891412022120579103) |\n| [Software Architecture](https:\/\/www.coursera.org\/learn\/software-architecture) | 4 weeks | 2-5 hours\/week | Object Oriented Design | [chat](https:\/\/discord.com\/channels\/744385009028431943\/891412169638432788) |\n\nCore math\n\nDiscrete 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.\n\n**Topics covered**: `discrete mathematics` `mathematical proofs` `basic statistics` `O-notation` `discrete probability` `and more`\n\n| Courses | Duration | Effort | Notes | Prerequisites | Discussion |\n|---|---|---|---|---|---|\n| [Calculus 1A: Differentiation](https:\/\/openlearninglibrary.mit.edu\/courses\/course-v1:MITx+18.01.1x+2T2019\/about) ([alternative](https:\/\/ocw.mit.edu\/courses\/mathematics\/18-01sc-single-variable-calculus-fall-2010\/index.htm)) | 13 weeks | 6-10 hours\/week | The alternate covers this and the following 2 courses | [high school math](https:\/\/ossu.dev\/precollege-math) | [chat](https:\/\/discord.gg\/mPCt45F) |\n| [Calculus 1B: Integration](https:\/\/openlearninglibrary.mit.edu\/courses\/course-v1:MITx+18.01.2x+3T2019\/about) | 13 weeks | 5-10 hours\/week | \\- | Calculus 1A | [chat](https:\/\/discord.gg\/sddAsZg) |\n| [Calculus 1C: Coordinate Systems & Infinite Series](https:\/\/openlearninglibrary.mit.edu\/courses\/course-v1:MITx+18.01.3x+1T2020\/about) | 6 weeks | 5-10 hours\/week | \\- | Calculus 1B | [chat](https:\/\/discord.gg\/FNEcNNq) |\n| [Mathematics for Computer Science](https:\/\/openlearninglibrary.mit.edu\/courses\/course-v1:OCW+6.042J+2T2019\/about) ([alternative](https:\/\/ocw.mit.edu\/courses\/6-042j-mathematics-for-computer-science-fall-2010\/)) | 13 weeks | 5 hours\/week | [2015\/2019 solutions](https:\/\/github.com\/spamegg1\/Math-for-CS-solutions) [2010 solutions](https:\/\/github.com\/frevib\/mit-cs-math-6042-fall-2010-problems) [2005 solutions](https:\/\/ocw.mit.edu\/courses\/electrical-engineering-and-computer-science\/6-042j-mathematics-for-computer-science-fall-2005\/assignments\/). | Calculus 1C | [chat](https:\/\/discord.gg\/EuTzNbF) |\n\nCS Tools\n\nUnderstanding 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.\n\n**Topics covered**: `terminals and shell scripting` `vim` `command line environments` `version control` `and more`\n\n| Courses | Duration | Effort | Prerequisites | Discussion |\n|---|---|---|---|---|\n| [The Missing Semester of Your CS Education](https:\/\/missing.csail.mit.edu\/) | 2 weeks | 12 hours\/week | \\- | [chat](https:\/\/discord.gg\/5FvKycS) |\n\nCore systems\n\n**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`\n\n| Courses | Duration | Effort | Additional Text \/ Assignments | Prerequisites | Discussion |\n|---|---|---|---|---|---|\n| [Build a Modern Computer from First Principles: From Nand to Tetris](https:\/\/www.coursera.org\/learn\/build-a-computer) ([alternative](https:\/\/www.nand2tetris.org\/)) | 6 weeks | 7-13 hours\/week | \\- | C-like programming language | [chat](https:\/\/discord.gg\/vxB2DRV) |\n| [Build a Modern Computer from First Principles: Nand to Tetris Part II](https:\/\/www.coursera.org\/learn\/nand2tetris2) | 6 weeks | 12-18 hours\/week | \\- | one of [these programming languages](https:\/\/user-images.githubusercontent.com\/2046800\/35426340-f6ce6358-026a-11e8-8bbb-4e95ac36b1d7.png), From Nand to Tetris Part I | [chat](https:\/\/discord.gg\/AsUXcPu) |\n| [Operating Systems: Three Easy Pieces](https:\/\/github.com\/ossu\/computer-science\/blob\/master\/coursepages\/ostep\/README.md) | 10-12 weeks | 6-10 hours\/week | \\- | Nand to Tetris Part II | [chat](https:\/\/discord.gg\/wZNgpep) |\n| [Computer Networking: a Top-Down Approach](http:\/\/gaia.cs.umass.edu\/kurose_ross\/online_lectures.htm) | 8 weeks | 4–12 hours\/week | [Wireshark Labs](http:\/\/gaia.cs.umass.edu\/kurose_ross\/wireshark.php) | algebra, probability, basic CS | [chat](https:\/\/discord.gg\/MJ9YXyV) |\n\nCore theory\n\n**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`\n\n| Courses | Duration | Effort | Prerequisites | Discussion |\n|---|---|---|---|---|\n| [Algorithms: Design and Analysis, Part 1](https:\/\/www.edx.org\/learn\/algorithms\/stanford-university-algorithms-design-and-analysis-part-1) ([alternative](https:\/\/www.algorithmsilluminated.org\/)) | 8 weeks | 4-8 hours\/week | any programming language, Mathematics for Computer Science | [chat](https:\/\/discord.gg\/mKRS7tY) |\n| [Algorithms: Design and Analysis, Part 2](https:\/\/www.edx.org\/learn\/algorithms\/stanford-university-algorithms-design-and-analysis-part-2) | 8 weeks | 4-8 hours\/week | Algorithms Part 1 | [chat](https:\/\/discord.gg\/Qstqe4t) |\n\nCore security\n\n**Topics covered** `Confidentiality, Integrity, Availability` `Secure Design` `Defensive Programming` `Threats and Attacks` `Network Security` `Cryptography` `and more`\n\n| Courses | Duration | Effort | Prerequisites | Discussion |\n|---|---|---|---|---|\n| [Cybersecurity Fundamentals](https:\/\/www.edx.org\/learn\/cybersecurity\/rochester-institute-of-technology-cybersecurity-fundamentals) | 8 weeks | 10-12 hours\/week | \\- | [chat](https:\/\/discord.gg\/XdY3AwTFK4) |\n| [Principles of Secure Coding](https:\/\/www.coursera.org\/learn\/secure-coding-principles) | 4 weeks | 4 hours\/week | \\- | [chat](https:\/\/discord.gg\/5gMdeSK) |\n| [Identifying Security Vulnerabilities](https:\/\/www.coursera.org\/learn\/identifying-security-vulnerabilities) | 4 weeks | 4 hours\/week | \\- | [chat](https:\/\/discord.gg\/V78MjUS) |\n\nChoose **one** of the following:\n\n| Courses | Duration | Effort | Prerequisites | Discussion |\n|---|---|---|---|---|\n| [Identifying Security Vulnerabilities in C\/C++ Programming](https:\/\/www.coursera.org\/learn\/identifying-security-vulnerabilities-c-programming) | 4 weeks | 5 hours\/week | \\- | [chat](https:\/\/discord.gg\/Vbxce7A) |\n| [Exploiting and Securing Vulnerabilities in Java Applications](https:\/\/www.coursera.org\/learn\/exploiting-securing-vulnerabilities-java-applications) | 4 weeks | 5 hours\/week | \\- | [chat](https:\/\/discord.gg\/QxC22rR) |\n\nCore applications\n\n**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`\n\n| Courses | Duration | Effort | Prerequisites | Discussion |\n|---|---|---|---|---|\n| [Databases: Modeling and Theory](https:\/\/www.edx.org\/learn\/databases\/stanford-university-databases-modeling-and-theory) | 2 weeks | 10 hours\/week | core programming | [chat](https:\/\/discord.gg\/pMFqNf4) |\n| [Databases: Relational Databases and SQL](https:\/\/www.edx.org\/learn\/relational-databases\/stanford-university-databases-relational-databases-and-sql) | 2 weeks | 10 hours\/week | core programming | [chat](https:\/\/discord.gg\/P8SPPyF) |\n| [Databases: Semistructured Data](https:\/\/www.edx.org\/learn\/relational-databases\/stanford-university-databases-semistructured-data) | 2 weeks | 10 hours\/week | core programming | [chat](https:\/\/discord.gg\/duCJ3GN) |\n| [Machine Learning](https:\/\/www.deeplearning.ai\/courses\/machine-learning-specialization\/) | 11 weeks | 9 hours\/week | Basic coding | [chat](https:\/\/discord.gg\/NcXHDjy) |\n| [Computer Graphics](https:\/\/www.edx.org\/learn\/computer-graphics\/the-university-of-california-san-diego-computer-graphics) ([alternative](https:\/\/cseweb.ucsd.edu\/~viscomp\/classes\/cse167\/wi22\/schedule.html)) | 6 weeks | 12 hours\/week | C++ or Java, [Basic Linear Algebra](https:\/\/ossu.dev\/precollege-math\/coursepages\/precalculus) | [chat](https:\/\/discord.gg\/68WqMNV) |\n| [Software Engineering: Introduction](https:\/\/www.edx.org\/learn\/software-engineering\/university-of-british-columbia-software-engineering-introduction) ([alternative](https:\/\/github.com\/ubccpsc\/310\/blob\/main\/resources\/README.md)) | 6 weeks | 8-10 hours\/week | Core Programming, and a [sizable project](https:\/\/github.com\/ossu\/computer-science\/blob\/master\/FAQ.md#why-require-experience-with-a-sizable-project-before-the-Software-Engineering-courses) | [chat](https:\/\/discord.gg\/5Qtcwtz) |\n\nCore ethics\n\n**Topics covered**: `Social Context` `Analytical Tools` `Professional Ethics` `Intellectual Property` `Privacy and Civil Liberties` `and more`\n\n| Courses | Duration | Effort | Prerequisites | Discussion |\n|---|---|---|---|---|\n| [Ethics, Technology and Engineering](https:\/\/www.coursera.org\/learn\/ethics-technology-engineering) | 9 weeks | 2 hours\/week | none | [chat](https:\/\/discord.gg\/6ttjPmzZbe) |\n| [Introduction to Intellectual Property](https:\/\/www.coursera.org\/learn\/introduction-intellectual-property) | 4 weeks | 2 hours\/week | none | [chat](https:\/\/discord.gg\/YbuERswpAK) |\n| [Data Privacy Fundamentals](https:\/\/www.coursera.org\/learn\/northeastern-data-privacy) | 3 weeks | 3 hours\/week | none | [chat](https:\/\/discord.gg\/64J34ajNBd) |\n\nAdvanced CS\n\nAfter 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.\n\nAdvanced programming\n\n**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`\n\n| Courses | Duration | Effort | Prerequisites |\n|---|---|---|---|\n| [Parallel Programming](https:\/\/www.coursera.org\/learn\/scala-parallel-programming) | 4 weeks | 6-8 hours\/week | Scala programming |\n| [Compilers](https:\/\/www.edx.org\/learn\/computer-science\/stanford-university-compilers) | 9 weeks | 6-8 hours\/week | none |\n| [Introduction to Haskell](https:\/\/www.seas.upenn.edu\/~cis194\/fall16\/) | 14 weeks | \\- | \\- |\n| [Learn Prolog Now\\!](https:\/\/www.let.rug.nl\/bos\/lpn\/\/lpnpage.php?pageid=online) ([alternative](https:\/\/github.com\/ossu\/computer-science\/files\/6085884\/lpn.pdf))\\* | 12 weeks | \\- | \\- |\n| [Software Debugging](https:\/\/www.youtube.com\/playlist?list=PLAwxTw4SYaPkxK63TiT88oEe-AIBhr96A) | 8 weeks | 6 hours\/week | Python, object-oriented programming |\n| [Software Testing](https:\/\/www.youtube.com\/playlist?list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g) | 4 weeks | 6 hours\/week | Python, programming experience |\n\n(\\*) book by Blackburn, Bos, Striegnitz (compiled from [source](https:\/\/github.com\/LearnPrologNow\/lpn), redistributed under [CC license](https:\/\/creativecommons.org\/licenses\/by-sa\/4.0\/))\n\nAdvanced systems\n\n**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`\n\n| Courses | Duration | Effort | Prerequisites | Notes |\n|---|---|---|---|---|\n| [Computation Structures 1: Digital Circuits](https:\/\/learning.edx.org\/course\/course-v1:MITx+6.004.1x_3+3T2016) [alternative 1](https:\/\/ocw.mit.edu\/courses\/6-004-computation-structures-spring-2017\/) [alternative 2](https:\/\/ocw.mit.edu\/courses\/6-004-computation-structures-spring-2009\/) | 10 weeks | 6 hours\/week | [Nand2Tetris II](https:\/\/www.coursera.org\/learn\/nand2tetris2) | Alternate links contain all 3 courses. |\n| [Computation Structures 2: Computer Architecture](https:\/\/learning.edx.org\/course\/course-v1:MITx+6.004.2x+3T2015) | 10 weeks | 6 hours\/week | Computation Structures 1 | \\- |\n| [Computation Structures 3: Computer Organization](https:\/\/learning.edx.org\/course\/course-v1:MITx+6.004.3x_2+1T2017) | 10 weeks | 6 hours\/week | Computation Structures 2 | \\- |\n\nAdvanced theory\n\n**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`\n\n| Courses | Duration | Effort | Prerequisites |\n|---|---|---|---|\n| [Theory of Computation](https:\/\/ocw.mit.edu\/courses\/18-404j-theory-of-computation-fall-2020\/) ([alternative](https:\/\/www.youtube.com\/playlist?list=PLEE7DF8F5E0203A56)) | 13 weeks | 10 hours\/week | [Mathematics for Computer Science](https:\/\/openlearninglibrary.mit.edu\/courses\/course-v1:OCW+6.042J+2T2019\/about), logic, algorithms |\n| [Computational Geometry](https:\/\/www.edx.org\/learn\/geometry\/tsinghua-university-ji-suan-ji-he-computational-geometry) | 16 weeks | 8 hours\/week | algorithms, C++ |\n| [Algorithmic Game Theory](https:\/\/timroughgarden.org\/f13\/f13.html) | 10 weeks | 12 hours\/week | Core Theory |\n\nAdvanced Information Security\n\n| Courses | Duration | Effort | Prerequisites |\n|---|---|---|---|\n| [Web Security Fundamentals](https:\/\/www.edx.org\/learn\/computer-security\/ku-leuven-web-security-fundamentals) | 5 weeks | 4-6 hours\/week | understanding basic web technologies |\n| [Security Governance & Compliance](https:\/\/www.coursera.org\/learn\/security-governance-compliance) | 3 weeks | 3 hours\/week | \\- |\n| [Digital Forensics Concepts](https:\/\/www.coursera.org\/learn\/digital-forensics-concepts) | 3 weeks | 2-3 hours\/week | Core Security |\n| [Secure Software Development: Requirements, Design, and Reuse](https:\/\/www.edx.org\/learn\/software-development\/the-linux-foundation-secure-software-development-requirements-design-and-reuse) | 7 weeks | 1-2 hours\/week | Core Programming and Core Security |\n| [Secure Software Development: Implementation](https:\/\/www.edx.org\/learn\/software-development\/the-linux-foundation-secure-software-development-implementation) | 7 weeks | 1-2 hours\/week | Secure Software Development: Requirements, Design, and Reuse |\n| [Secure Software Development: Verification and More Specialized Topics](https:\/\/www.edx.org\/learn\/software-engineering\/the-linux-foundation-secure-software-development-verification-and-more-specialized-topics) | 7 weeks | 1-2 hours\/week | Secure Software Development: Implementation |\n\nAdvanced math\n\n| Courses | Duration | Effort | Prerequisites | Discussion |\n|---|---|---|---|---|\n| [Essence of Linear Algebra](https:\/\/www.youtube.com\/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab) | \\- | \\- | [high school math](https:\/\/ossu.dev\/precollege-math) | [chat](https:\/\/discord.gg\/m6wHbP6) |\n| [Linear Algebra](https:\/\/ocw.mit.edu\/courses\/mathematics\/18-06sc-linear-algebra-fall-2011\/) | 14 weeks | 12 hours\/week | corequisite: Essence of Linear Algebra | [chat](https:\/\/discord.gg\/k7nSWJH) |\n| [Introduction to Numerical Methods](https:\/\/ocw.mit.edu\/courses\/mathematics\/18-335j-introduction-to-numerical-methods-spring-2019\/index.htm) | 14 weeks | 12 hours\/week | [Linear Algebra](https:\/\/ocw.mit.edu\/courses\/mathematics\/18-06sc-linear-algebra-fall-2011\/) | [chat](https:\/\/discord.gg\/FNEcNNq) |\n| [Introduction to Formal Logic](https:\/\/forallx.openlogicproject.org\/) | 10 weeks | 4-8 hours\/week | [Set Theory](https:\/\/www.youtube.com\/playlist?list=PL5KkMZvBpo5AH_5GpxMiryJT6Dkj32H6N) | [chat](https:\/\/discord.gg\/MbM2Gg5) |\n| [Probability](https:\/\/stat110.hsites.harvard.edu\/) | 15 weeks | 5-10 hours\/week | [Differentiation and Integration](https:\/\/www.edx.org\/course\/calculus-1b-integration) | [chat](https:\/\/discord.gg\/UVjs9BU) |\n\nFinal project\n\nPart of learning is doing. The assignments and exams for each course are to prepare you to use your knowledge to solve real-world problems.\n\nAfter 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.\n\nStudents 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):\n\n| Courses | Duration | Effort | Prerequisites |\n|---|---|---|---|\n| [Fullstack Open](https:\/\/fullstackopen.com\/en\/) | 12 weeks | 15 hours\/week | programming |\n| [Modern Robotics](https:\/\/modernrobotics.northwestern.edu\/) | 26 weeks | 2-5 hours\/week | freshman-level physics, linear algebra, calculus, [linear ordinary differential equations](https:\/\/www.khanacademy.org\/math\/differential-equations) |\n| [Data Mining (Specialization)](https:\/\/www.coursera.org\/specializations\/data-mining) | 30 weeks | 2-5 hours\/week | machine learning |\n| [Big Data (Specialization)](https:\/\/www.coursera.org\/specializations\/big-data) | 30 weeks | 3-5 hours\/week | none |\n| [Internet of Things (Specialization)](https:\/\/www.coursera.org\/specializations\/internet-of-things) | 30 weeks | 1-5 hours\/week | strong programming |\n| [Cloud Computing (Specialization)](https:\/\/www.coursera.org\/specializations\/cloud-computing) | 30 weeks | 2-6 hours\/week | C++ programming |\n| [Data Science (Specialization)](https:\/\/www.coursera.org\/specializations\/jhu-data-science) | 43 weeks | 1-6 hours\/week | none |\n| [Functional Programming in Scala (Specialization)](https:\/\/www.coursera.org\/specializations\/scala) | 29 weeks | 4-5 hours\/week | One year programming experience |\n| [Game Design and Development with Unity 2020 (Specialization)](https:\/\/www.coursera.org\/specializations\/game-design-and-development) | 6 months | 5 hours\/week | programming, interactive design |\n\nCongratulations\n\nAfter completing the requirements of the curriculum above, you will have completed the equivalent of a full bachelor's degree in Computer Science. Congratulations\\!\n\nWhat is next for you? The possibilities are boundless and overlapping:\n\n- Look for a job as a developer\\!\n- Check out the [readings](https:\/\/github.com\/ossu\/computer-science\/blob\/master\/extras\/readings.md) for classic books you can read that will sharpen your skills and expand your knowledge.\n- Join a local developer meetup (e.g. via [meetup.com](https:\/\/www.meetup.com\/)).\n- Pay attention to emerging technologies in the world of software development:\n  - Explore the **actor model** through [Elixir](https:\/\/elixir-lang.org\/), a new functional programming language for the web based on the battle-tested Erlang Virtual Machine\\!\n  - Explore **borrowing and lifetimes** through [Rust](https:\/\/www.rust-lang.org\/), a systems language which achieves memory- and thread-safety without a garbage collector\\!\n  - Explore **dependent type systems** through [Idris](https:\/\/www.idris-lang.org\/), a new Haskell-inspired language with unprecedented support for type-driven development.\n\n[![keep learning](https:\/\/github.com\/ossu\/computer-science\/raw\/master\/images\/keep-learning.webp)](https:\/\/github.com\/ossu\/computer-science\/blob\/master\/images\/keep-learning.webp)\n\nCode of conduct\n\n[OSSU's code of conduct](https:\/\/github.com\/ossu\/code-of-conduct).\n\nHow to show your progress\n\n[Fork](https:\/\/www.freecodecamp.org\/news\/how-to-fork-a-github-repository\/) the [GitHub repo](https:\/\/github.com\/ossu\/computer-science) 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](https:\/\/en.wikipedia.org\/wiki\/Kanban_board) and will be faster to implement than any other solution (giving you time to spend on the courses).\n\nTeam\n\n- **[Eric Douglas](https:\/\/github.com\/ericdouglas)**: founder of OSSU\n- **[Josh Hanson](https:\/\/github.com\/joshmhanson)**: lead technical maintainer\n- **[Waciuma Wanjohi](https:\/\/github.com\/waciumawanjohi)**: lead academic maintainer\n- **[Contributors](https:\/\/github.com\/ossu\/computer-science\/graphs\/contributors)**","meta_canonical":null}

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Meta Title	GitHub - ossu/computer-science: 🎓 Path to a free self-taught education in Computer Science! · GitHub
Meta Description	🎓 Path to a free self-taught education in Computer Science! - ossu/computer-science
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Boilerpipe Text	Open Source Society University Path to a free self-taught education in Computer Science! Contents Summary Community Curriculum Code of conduct Team 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 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. 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 in 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! 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 Prerequisites Intro CS 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 information security Advanced math Final project 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 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 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++ Algorithmic Game Theory 10 weeks 12 hours/week Core Theory 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 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. 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 Eric Douglas : founder of OSSU Josh Hanson : lead technical maintainer Waciuma Wanjohi : lead academic maintainer Contributors
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[![Awesome](https://camo.githubusercontent.com/2727609d8bfde9ba1a95be1449eb878bfafa4d76789ba05661857e2c8ac70fa1/68747470733a2f2f63646e2e7261776769742e636f6d2f73696e647265736f726875732f617765736f6d652f643733303566333864323966656437386661383536353265336136336531353464643865383832392f6d656469612f62616467652e737667)](https://github.com/sindresorhus/awesome) [![Open Source Society University - Computer Science](https://camo.githubusercontent.com/3105e2e394b747c64be1dd4609779ba4226b372ee03fac11f360f1db992822a4/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f4f5353552d636f6d70757465722d2d736369656e63652d626c75652e737667)](https://github.com/ossu/computer-science) # Contents - [Summary](https://github.com/ossu/computer-science#summary) - [Community](https://github.com/ossu/computer-science#community) - [Curriculum](https://github.com/ossu/computer-science#curriculum) - [Code of conduct](https://github.com/ossu/computer-science#code-of-conduct) - [Team](https://github.com/ossu/computer-science#team) # 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](https://github.com/ossu/computer-science/blob/master/CURRICULAR_GUIDELINES.md): 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](https://github.com/ossu/computer-science/blob/master/extras/courses.md) or [extras/readings](https://github.com/ossu/computer-science/blob/master/extras/readings.md). 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](https://docs.google.com/spreadsheets/d/1y2kMsIg9VaHMVmw35x_aH1hpty3V-ZMuV2jA13P_Cgo/copy) 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](https://cs.ossu.dev/) or [the repo](https://github.com/ossu/computer-science) 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](https://www.coursera.support/s/article/209819033-Apply-for-Financial-Aid-or-a-Scholarship?language=en_US) and [edX](https://courses.edx.org/financial-assistance/) 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 in 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](https://github.com/ossu/computer-science/blob/master/CONTRIBUTING.md) [Getting help](https://github.com/ossu/computer-science/blob/master/HELP.md) (Details about our FAQ and chatroom) # Community - We have a Discord server! [![Discord](https://camo.githubusercontent.com/a594abd0ae3f7711e00760d52217d80d754c1ec32119eb16e8e3a58660ab8b9a/68747470733a2f2f696d672e736869656c64732e696f2f646973636f72642f3734343338353030393032383433313934332e7376673f6c6162656c3d266c6f676f3d646973636f7264266c6f676f436f6c6f723d66666666666626636f6c6f723d373338394438266c6162656c436f6c6f723d364137454332)](https://discord.gg/wuytwK5s9h) This should be your first stop to talk with other OSSU students. Why don't you introduce yourself right now? [Join the OSSU Discord](https://discord.gg/wuytwK5s9h) - 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](https://github.com/ossu/computer-science/blob/master/CONTRIBUTING.md). - Add Open Source Society University to your [Linkedin](https://www.linkedin.com/school/11272443/) 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](https://cs.ossu.dev/) or [OSSU CS Github Repo](https://github.com/ossu/computer-science). Some known outdated materials are: > > - An unmaintained and deprecated firebase app. Read more in the [FAQ](https://github.com/ossu/computer-science/blob/master/FAQ.md#why-is-the-firebase-ossu-app-different-or-broken). > - An unmaintained and deprecated trello board > - Third-party notion templates # Curriculum - [Prerequisites](https://github.com/ossu/computer-science#prerequisites) - [Intro CS](https://github.com/ossu/computer-science#intro-cs) - [Core CS](https://github.com/ossu/computer-science#core-cs) - [Core programming](https://github.com/ossu/computer-science#core-programming) - [Core math](https://github.com/ossu/computer-science#core-math) - [CS Tools](https://github.com/ossu/computer-science#cs-tools) - [Core systems](https://github.com/ossu/computer-science#core-systems) - [Core theory](https://github.com/ossu/computer-science#core-theory) - [Core security](https://github.com/ossu/computer-science#core-security) - [Core applications](https://github.com/ossu/computer-science#core-applications) - [Core ethics](https://github.com/ossu/computer-science#core-ethics) - [Advanced CS](https://github.com/ossu/computer-science#advanced-cs) - [Advanced programming](https://github.com/ossu/computer-science#advanced-programming) - [Advanced systems](https://github.com/ossu/computer-science#advanced-systems) - [Advanced theory](https://github.com/ossu/computer-science#advanced-theory) - [Advanced information security](https://github.com/ossu/computer-science#advanced-information-security) - [Advanced math](https://github.com/ossu/computer-science#advanced-math) - [Final project](https://github.com/ossu/computer-science#final-project) * ## Prerequisites - [Core CS](https://github.com/ossu/computer-science#core-cs) assumes the student has already taken [high school math](https://ossu.dev/precollege-math), including algebra, geometry, and pre-calculus. - [Advanced CS](https://github.com/ossu/computer-science#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](https://github.com/ossu/computer-science#advanced-systems) assumes the student has taken a basic physics course (e.g. AP Physics in high school). ## 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](https://github.com/ossu/computer-science/blob/master/coursepages/intro-cs/README.md) \| 14 weeks \| 6-10 hours/week \| [high school algebra](https://ossu.dev/precollege-math) \| [chat](https://discord.gg/jvchSm9) \| ## 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](https://github.com/ossu/computer-science/blob/master/coursepages/spd/README.md) \| 13 weeks \| 8-10 hours/week \| none \| chat: [part 1](https://discord.gg/RfqAmGJ) / [part 2](https://discord.gg/kczJzpm) \| \| [Class-based Program Design](https://github.com/ossu/computer-science/blob/master/coursepages/class-based/README.md) \| 13 weeks \| 5-10 hours/week \| Systematic Program Design, High School Math \| [chat](https://discord.com/channels/744385009028431943/891411727294562314) \| \| [Programming Languages](https://courses.cs.washington.edu/courses/cse341/19sp/#lectures) \| 11 weeks \| 4-8 hours/week \| Systematic Program Design \| [chat](https://discord.gg/8BkJtXN) \| \| [Object-Oriented Design](https://course.ccs.neu.edu/cs3500f19/) \| 13 weeks \| 5-10 hours/week \| Class-based Program Design \| [chat](https://discord.com/channels/744385009028431943/891412022120579103) \| \| [Software Architecture](https://www.coursera.org/learn/software-architecture) \| 4 weeks \| 2-5 hours/week \| Object Oriented Design \| [chat](https://discord.com/channels/744385009028431943/891412169638432788) \| ### 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](https://openlearninglibrary.mit.edu/courses/course-v1:MITx+18.01.1x+2T2019/about) ([alternative](https://ocw.mit.edu/courses/mathematics/18-01sc-single-variable-calculus-fall-2010/index.htm)) \| 13 weeks \| 6-10 hours/week \| The alternate covers this and the following 2 courses \| [high school math](https://ossu.dev/precollege-math) \| [chat](https://discord.gg/mPCt45F) \| \| [Calculus 1B: Integration](https://openlearninglibrary.mit.edu/courses/course-v1:MITx+18.01.2x+3T2019/about) \| 13 weeks \| 5-10 hours/week \| \- \| Calculus 1A \| [chat](https://discord.gg/sddAsZg) \| \| [Calculus 1C: Coordinate Systems & Infinite Series](https://openlearninglibrary.mit.edu/courses/course-v1:MITx+18.01.3x+1T2020/about) \| 6 weeks \| 5-10 hours/week \| \- \| Calculus 1B \| [chat](https://discord.gg/FNEcNNq) \| \| [Mathematics for Computer Science](https://openlearninglibrary.mit.edu/courses/course-v1:OCW+6.042J+2T2019/about) ([alternative](https://ocw.mit.edu/courses/6-042j-mathematics-for-computer-science-fall-2010/)) \| 13 weeks \| 5 hours/week \| [2015/2019 solutions](https://github.com/spamegg1/Math-for-CS-solutions) [2010 solutions](https://github.com/frevib/mit-cs-math-6042-fall-2010-problems) [2005 solutions](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-fall-2005/assignments/). \| Calculus 1C \| [chat](https://discord.gg/EuTzNbF) \| ### 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](https://missing.csail.mit.edu/) \| 2 weeks \| 12 hours/week \| \- \| [chat](https://discord.gg/5FvKycS) \| ### 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](https://www.coursera.org/learn/build-a-computer) ([alternative](https://www.nand2tetris.org/)) \| 6 weeks \| 7-13 hours/week \| \- \| C-like programming language \| [chat](https://discord.gg/vxB2DRV) \| \| [Build a Modern Computer from First Principles: Nand to Tetris Part II](https://www.coursera.org/learn/nand2tetris2) \| 6 weeks \| 12-18 hours/week \| \- \| one of [these programming languages](https://user-images.githubusercontent.com/2046800/35426340-f6ce6358-026a-11e8-8bbb-4e95ac36b1d7.png), From Nand to Tetris Part I \| [chat](https://discord.gg/AsUXcPu) \| \| [Operating Systems: Three Easy Pieces](https://github.com/ossu/computer-science/blob/master/coursepages/ostep/README.md) \| 10-12 weeks \| 6-10 hours/week \| \- \| Nand to Tetris Part II \| [chat](https://discord.gg/wZNgpep) \| \| [Computer Networking: a Top-Down Approach](http://gaia.cs.umass.edu/kurose_ross/online_lectures.htm) \| 8 weeks \| 4–12 hours/week \| [Wireshark Labs](http://gaia.cs.umass.edu/kurose_ross/wireshark.php) \| algebra, probability, basic CS \| [chat](https://discord.gg/MJ9YXyV) \| ### 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](https://www.edx.org/learn/algorithms/stanford-university-algorithms-design-and-analysis-part-1) ([alternative](https://www.algorithmsilluminated.org/)) \| 8 weeks \| 4-8 hours/week \| any programming language, Mathematics for Computer Science \| [chat](https://discord.gg/mKRS7tY) \| \| [Algorithms: Design and Analysis, Part 2](https://www.edx.org/learn/algorithms/stanford-university-algorithms-design-and-analysis-part-2) \| 8 weeks \| 4-8 hours/week \| Algorithms Part 1 \| [chat](https://discord.gg/Qstqe4t) \| ### 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](https://www.edx.org/learn/cybersecurity/rochester-institute-of-technology-cybersecurity-fundamentals) \| 8 weeks \| 10-12 hours/week \| \- \| [chat](https://discord.gg/XdY3AwTFK4) \| \| [Principles of Secure Coding](https://www.coursera.org/learn/secure-coding-principles) \| 4 weeks \| 4 hours/week \| \- \| [chat](https://discord.gg/5gMdeSK) \| \| [Identifying Security Vulnerabilities](https://www.coursera.org/learn/identifying-security-vulnerabilities) \| 4 weeks \| 4 hours/week \| \- \| [chat](https://discord.gg/V78MjUS) \| Choose one of the following: \| Courses \| Duration \| Effort \| Prerequisites \| Discussion \| \|---\|---\|---\|---\|---\| \| [Identifying Security Vulnerabilities in C/C++ Programming](https://www.coursera.org/learn/identifying-security-vulnerabilities-c-programming) \| 4 weeks \| 5 hours/week \| \- \| [chat](https://discord.gg/Vbxce7A) \| \| [Exploiting and Securing Vulnerabilities in Java Applications](https://www.coursera.org/learn/exploiting-securing-vulnerabilities-java-applications) \| 4 weeks \| 5 hours/week \| \- \| [chat](https://discord.gg/QxC22rR) \| ### 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](https://www.edx.org/learn/databases/stanford-university-databases-modeling-and-theory) \| 2 weeks \| 10 hours/week \| core programming \| [chat](https://discord.gg/pMFqNf4) \| \| [Databases: Relational Databases and SQL](https://www.edx.org/learn/relational-databases/stanford-university-databases-relational-databases-and-sql) \| 2 weeks \| 10 hours/week \| core programming \| [chat](https://discord.gg/P8SPPyF) \| \| [Databases: Semistructured Data](https://www.edx.org/learn/relational-databases/stanford-university-databases-semistructured-data) \| 2 weeks \| 10 hours/week \| core programming \| [chat](https://discord.gg/duCJ3GN) \| \| [Machine Learning](https://www.deeplearning.ai/courses/machine-learning-specialization/) \| 11 weeks \| 9 hours/week \| Basic coding \| [chat](https://discord.gg/NcXHDjy) \| \| [Computer Graphics](https://www.edx.org/learn/computer-graphics/the-university-of-california-san-diego-computer-graphics) ([alternative](https://cseweb.ucsd.edu/~viscomp/classes/cse167/wi22/schedule.html)) \| 6 weeks \| 12 hours/week \| C++ or Java, [Basic Linear Algebra](https://ossu.dev/precollege-math/coursepages/precalculus) \| [chat](https://discord.gg/68WqMNV) \| \| [Software Engineering: Introduction](https://www.edx.org/learn/software-engineering/university-of-british-columbia-software-engineering-introduction) ([alternative](https://github.com/ubccpsc/310/blob/main/resources/README.md)) \| 6 weeks \| 8-10 hours/week \| Core Programming, and a [sizable project](https://github.com/ossu/computer-science/blob/master/FAQ.md#why-require-experience-with-a-sizable-project-before-the-Software-Engineering-courses) \| [chat](https://discord.gg/5Qtcwtz) \| ### 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](https://www.coursera.org/learn/ethics-technology-engineering) \| 9 weeks \| 2 hours/week \| none \| [chat](https://discord.gg/6ttjPmzZbe) \| \| [Introduction to Intellectual Property](https://www.coursera.org/learn/introduction-intellectual-property) \| 4 weeks \| 2 hours/week \| none \| [chat](https://discord.gg/YbuERswpAK) \| \| [Data Privacy Fundamentals](https://www.coursera.org/learn/northeastern-data-privacy) \| 3 weeks \| 3 hours/week \| none \| [chat](https://discord.gg/64J34ajNBd) \| ## 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](https://www.coursera.org/learn/scala-parallel-programming) \| 4 weeks \| 6-8 hours/week \| Scala programming \| \| [Compilers](https://www.edx.org/learn/computer-science/stanford-university-compilers) \| 9 weeks \| 6-8 hours/week \| none \| \| [Introduction to Haskell](https://www.seas.upenn.edu/~cis194/fall16/) \| 14 weeks \| \- \| \- \| \| [Learn Prolog Now\!](https://www.let.rug.nl/bos/lpn//lpnpage.php?pageid=online) ([alternative](https://github.com/ossu/computer-science/files/6085884/lpn.pdf))\* \| 12 weeks \| \- \| \- \| \| [Software Debugging](https://www.youtube.com/playlist?list=PLAwxTw4SYaPkxK63TiT88oEe-AIBhr96A) \| 8 weeks \| 6 hours/week \| Python, object-oriented programming \| \| [Software Testing](https://www.youtube.com/playlist?list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g) \| 4 weeks \| 6 hours/week \| Python, programming experience \| (\) book by Blackburn, Bos, Striegnitz (compiled from [source](https://github.com/LearnPrologNow/lpn), redistributed under [CC license](https://creativecommons.org/licenses/by-sa/4.0/)) ### 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](https://learning.edx.org/course/course-v1:MITx+6.004.1x_3+3T2016) [alternative 1](https://ocw.mit.edu/courses/6-004-computation-structures-spring-2017/) [alternative 2](https://ocw.mit.edu/courses/6-004-computation-structures-spring-2009/) \| 10 weeks \| 6 hours/week \| [Nand2Tetris II](https://www.coursera.org/learn/nand2tetris2) \| Alternate links contain all 3 courses. \| \| [Computation Structures 2: Computer Architecture](https://learning.edx.org/course/course-v1:MITx+6.004.2x+3T2015) \| 10 weeks \| 6 hours/week \| Computation Structures 1 \| \- \| \| [Computation Structures 3: Computer Organization](https://learning.edx.org/course/course-v1:MITx+6.004.3x_2+1T2017) \| 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](https://ocw.mit.edu/courses/18-404j-theory-of-computation-fall-2020/) ([alternative](https://www.youtube.com/playlist?list=PLEE7DF8F5E0203A56)) \| 13 weeks \| 10 hours/week \| [Mathematics for Computer Science](https://openlearninglibrary.mit.edu/courses/course-v1:OCW+6.042J+2T2019/about), logic, algorithms \| \| [Computational Geometry](https://www.edx.org/learn/geometry/tsinghua-university-ji-suan-ji-he-computational-geometry) \| 16 weeks \| 8 hours/week \| algorithms, C++ \| \| [Algorithmic Game Theory](https://timroughgarden.org/f13/f13.html) \| 10 weeks \| 12 hours/week \| Core Theory \| ### Advanced Information Security \| Courses \| Duration \| Effort \| Prerequisites \| \|---\|---\|---\|---\| \| [Web Security Fundamentals](https://www.edx.org/learn/computer-security/ku-leuven-web-security-fundamentals) \| 5 weeks \| 4-6 hours/week \| understanding basic web technologies \| \| [Security Governance & Compliance](https://www.coursera.org/learn/security-governance-compliance) \| 3 weeks \| 3 hours/week \| \- \| \| [Digital Forensics Concepts](https://www.coursera.org/learn/digital-forensics-concepts) \| 3 weeks \| 2-3 hours/week \| Core Security \| \| [Secure Software Development: Requirements, Design, and Reuse](https://www.edx.org/learn/software-development/the-linux-foundation-secure-software-development-requirements-design-and-reuse) \| 7 weeks \| 1-2 hours/week \| Core Programming and Core Security \| \| [Secure Software Development: Implementation](https://www.edx.org/learn/software-development/the-linux-foundation-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](https://www.edx.org/learn/software-engineering/the-linux-foundation-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](https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab) \| \- \| \- \| [high school math](https://ossu.dev/precollege-math) \| [chat](https://discord.gg/m6wHbP6) \| \| [Linear Algebra](https://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/) \| 14 weeks \| 12 hours/week \| corequisite: Essence of Linear Algebra \| [chat](https://discord.gg/k7nSWJH) \| \| [Introduction to Numerical Methods](https://ocw.mit.edu/courses/mathematics/18-335j-introduction-to-numerical-methods-spring-2019/index.htm) \| 14 weeks \| 12 hours/week \| [Linear Algebra](https://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/) \| [chat](https://discord.gg/FNEcNNq) \| \| [Introduction to Formal Logic](https://forallx.openlogicproject.org/) \| 10 weeks \| 4-8 hours/week \| [Set Theory](https://www.youtube.com/playlist?list=PL5KkMZvBpo5AH_5GpxMiryJT6Dkj32H6N) \| [chat](https://discord.gg/MbM2Gg5) \| \| [Probability](https://stat110.hsites.harvard.edu/) \| 15 weeks \| 5-10 hours/week \| [Differentiation and Integration](https://www.edx.org/course/calculus-1b-integration) \| [chat](https://discord.gg/UVjs9BU) \| ## 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](https://fullstackopen.com/en/) \| 12 weeks \| 15 hours/week \| programming \| \| [Modern Robotics](https://modernrobotics.northwestern.edu/) \| 26 weeks \| 2-5 hours/week \| freshman-level physics, linear algebra, calculus, [linear ordinary differential equations](https://www.khanacademy.org/math/differential-equations) \| \| [Data Mining (Specialization)](https://www.coursera.org/specializations/data-mining) \| 30 weeks \| 2-5 hours/week \| machine learning \| \| [Big Data (Specialization)](https://www.coursera.org/specializations/big-data) \| 30 weeks \| 3-5 hours/week \| none \| \| [Internet of Things (Specialization)](https://www.coursera.org/specializations/internet-of-things) \| 30 weeks \| 1-5 hours/week \| strong programming \| \| [Cloud Computing (Specialization)](https://www.coursera.org/specializations/cloud-computing) \| 30 weeks \| 2-6 hours/week \| C++ programming \| \| [Data Science (Specialization)](https://www.coursera.org/specializations/jhu-data-science) \| 43 weeks \| 1-6 hours/week \| none \| \| [Functional Programming in Scala (Specialization)](https://www.coursera.org/specializations/scala) \| 29 weeks \| 4-5 hours/week \| One year programming experience \| \| [Game Design and Development with Unity 2020 (Specialization)](https://www.coursera.org/specializations/game-design-and-development) \| 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](https://github.com/ossu/computer-science/blob/master/extras/readings.md) 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](https://www.meetup.com/)). - Pay attention to emerging technologies in the world of software development: - Explore the actor model* through [Elixir](https://elixir-lang.org/), a new functional programming language for the web based on the battle-tested Erlang Virtual Machine\! - Explore borrowing and lifetimes through [Rust](https://www.rust-lang.org/), a systems language which achieves memory- and thread-safety without a garbage collector\! - Explore dependent type systems through [Idris](https://www.idris-lang.org/), a new Haskell-inspired language with unprecedented support for type-driven development. [![keep learning](https://github.com/ossu/computer-science/raw/master/images/keep-learning.webp)](https://github.com/ossu/computer-science/blob/master/images/keep-learning.webp) # Code of conduct [OSSU's code of conduct](https://github.com/ossu/code-of-conduct). ## How to show your progress [Fork](https://www.freecodecamp.org/news/how-to-fork-a-github-repository/) the [GitHub repo](https://github.com/ossu/computer-science) 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](https://en.wikipedia.org/wiki/Kanban_board) and will be faster to implement than any other solution (giving you time to spend on the courses). # Team - [Eric Douglas](https://github.com/ericdouglas): founder of OSSU - [Josh Hanson](https://github.com/joshmhanson): lead technical maintainer - [Waciuma Wanjohi](https://github.com/waciumawanjohi): lead academic maintainer - [Contributors](https://github.com/ossu/computer-science/graphs/contributors) ## About 🎓 Path to a free self-taught education in Computer Science\! [cs.ossu.dev](https://cs.ossu.dev/ "https://cs.ossu.dev") ### Topics [computer-science](https://github.com/topics/computer-science "Topic: computer-science") [curriculum](https://github.com/topics/curriculum "Topic: curriculum") [courses](https://github.com/topics/courses "Topic: courses") [awesome-list](https://github.com/topics/awesome-list "Topic: awesome-list") ### Resources [Readme](https://github.com/ossu/computer-science#readme-ov-file) ### License [MIT license](https://github.com/ossu/computer-science#MIT-1-ov-file) ### Contributing [Contributing](https://github.com/ossu/computer-science#contributing-ov-file) ### Uh oh\! There was an error while loading. [Please reload this page](https://github.com/ossu/computer-science). [Activity](https://github.com/ossu/computer-science/activity) [Custom properties](https://github.com/ossu/computer-science/custom-properties) ### Stars [203k stars](https://github.com/ossu/computer-science/stargazers) ### Watchers [5\.9k watching](https://github.com/ossu/computer-science/watchers) ### Forks [25\.3k forks](https://github.com/ossu/computer-science/forks) [Report repository](https://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2Fossu%2Fcomputer-science&report=ossu+%28user%29) ## [Releases](https://github.com/ossu/computer-science/releases) [5 tags](https://github.com/ossu/computer-science/tags) ## [Packages 0](https://github.com/orgs/ossu/packages?repo_name=computer-science) No packages published ### Uh oh\! There was an error while loading. [Please reload this page](https://github.com/ossu/computer-science). ## [Contributors](https://github.com/ossu/computer-science/graphs/contributors) ### Uh oh\! There was an error while loading. 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Readable Markdown	[![Open Source Society logo](https://github.com/ossu/computer-science/raw/master/images/ossu-logo.webp)](https://github.com/ossu/computer-science/blob/master/images/ossu-logo.webp) Open Source Society University Path to a free self-taught education in Computer Science\! [![Awesome](https://camo.githubusercontent.com/2727609d8bfde9ba1a95be1449eb878bfafa4d76789ba05661857e2c8ac70fa1/68747470733a2f2f63646e2e7261776769742e636f6d2f73696e647265736f726875732f617765736f6d652f643733303566333864323966656437386661383536353265336136336531353464643865383832392f6d656469612f62616467652e737667)](https://github.com/sindresorhus/awesome) [![Open Source Society University - Computer Science](https://camo.githubusercontent.com/3105e2e394b747c64be1dd4609779ba4226b372ee03fac11f360f1db992822a4/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f4f5353552d636f6d70757465722d2d736369656e63652d626c75652e737667)](https://github.com/ossu/computer-science) Contents - [Summary](https://github.com/ossu/computer-science#summary) - [Community](https://github.com/ossu/computer-science#community) - [Curriculum](https://github.com/ossu/computer-science#curriculum) - [Code of conduct](https://github.com/ossu/computer-science#code-of-conduct) - [Team](https://github.com/ossu/computer-science#team) 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](https://github.com/ossu/computer-science/blob/master/CURRICULAR_GUIDELINES.md): 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](https://github.com/ossu/computer-science/blob/master/extras/courses.md) or [extras/readings](https://github.com/ossu/computer-science/blob/master/extras/readings.md). 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](https://docs.google.com/spreadsheets/d/1y2kMsIg9VaHMVmw35x_aH1hpty3V-ZMuV2jA13P_Cgo/copy) 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](https://cs.ossu.dev/) or [the repo](https://github.com/ossu/computer-science) 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](https://www.coursera.support/s/article/209819033-Apply-for-Financial-Aid-or-a-Scholarship?language=en_US) and [edX](https://courses.edx.org/financial-assistance/) 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 in 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](https://github.com/ossu/computer-science/blob/master/CONTRIBUTING.md) [Getting help](https://github.com/ossu/computer-science/blob/master/HELP.md) (Details about our FAQ and chatroom) Community - We have a Discord server! [![Discord](https://camo.githubusercontent.com/a594abd0ae3f7711e00760d52217d80d754c1ec32119eb16e8e3a58660ab8b9a/68747470733a2f2f696d672e736869656c64732e696f2f646973636f72642f3734343338353030393032383433313934332e7376673f6c6162656c3d266c6f676f3d646973636f7264266c6f676f436f6c6f723d66666666666626636f6c6f723d373338394438266c6162656c436f6c6f723d364137454332)](https://discord.gg/wuytwK5s9h) This should be your first stop to talk with other OSSU students. Why don't you introduce yourself right now? [Join the OSSU Discord](https://discord.gg/wuytwK5s9h) - 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](https://github.com/ossu/computer-science/blob/master/CONTRIBUTING.md). - Add Open Source Society University to your [Linkedin](https://www.linkedin.com/school/11272443/) 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](https://cs.ossu.dev/) or [OSSU CS Github Repo](https://github.com/ossu/computer-science). Some known outdated materials are: > > - An unmaintained and deprecated firebase app. Read more in the [FAQ](https://github.com/ossu/computer-science/blob/master/FAQ.md#why-is-the-firebase-ossu-app-different-or-broken). > - An unmaintained and deprecated trello board > - Third-party notion templates Curriculum - [Prerequisites](https://github.com/ossu/computer-science#prerequisites) - [Intro CS](https://github.com/ossu/computer-science#intro-cs) - [Core CS](https://github.com/ossu/computer-science#core-cs) - [Core programming](https://github.com/ossu/computer-science#core-programming) - [Core math](https://github.com/ossu/computer-science#core-math) - [CS Tools](https://github.com/ossu/computer-science#cs-tools) - [Core systems](https://github.com/ossu/computer-science#core-systems) - [Core theory](https://github.com/ossu/computer-science#core-theory) - [Core security](https://github.com/ossu/computer-science#core-security) - [Core applications](https://github.com/ossu/computer-science#core-applications) - [Core ethics](https://github.com/ossu/computer-science#core-ethics) - [Advanced CS](https://github.com/ossu/computer-science#advanced-cs) - [Advanced programming](https://github.com/ossu/computer-science#advanced-programming) - [Advanced systems](https://github.com/ossu/computer-science#advanced-systems) - [Advanced theory](https://github.com/ossu/computer-science#advanced-theory) - [Advanced information security](https://github.com/ossu/computer-science#advanced-information-security) - [Advanced math](https://github.com/ossu/computer-science#advanced-math) - [Final project](https://github.com/ossu/computer-science#final-project) * Prerequisites - [Core CS](https://github.com/ossu/computer-science#core-cs) assumes the student has already taken [high school math](https://ossu.dev/precollege-math), including algebra, geometry, and pre-calculus. - [Advanced CS](https://github.com/ossu/computer-science#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](https://github.com/ossu/computer-science#advanced-systems) assumes the student has taken a basic physics course (e.g. AP Physics in high school). 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](https://github.com/ossu/computer-science/blob/master/coursepages/intro-cs/README.md) \| 14 weeks \| 6-10 hours/week \| [high school algebra](https://ossu.dev/precollege-math) \| [chat](https://discord.gg/jvchSm9) \| 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](https://github.com/ossu/computer-science/blob/master/coursepages/spd/README.md) \| 13 weeks \| 8-10 hours/week \| none \| chat: [part 1](https://discord.gg/RfqAmGJ) / [part 2](https://discord.gg/kczJzpm) \| \| [Class-based Program Design](https://github.com/ossu/computer-science/blob/master/coursepages/class-based/README.md) \| 13 weeks \| 5-10 hours/week \| Systematic Program Design, High School Math \| [chat](https://discord.com/channels/744385009028431943/891411727294562314) \| \| [Programming Languages](https://courses.cs.washington.edu/courses/cse341/19sp/#lectures) \| 11 weeks \| 4-8 hours/week \| Systematic Program Design \| [chat](https://discord.gg/8BkJtXN) \| \| [Object-Oriented Design](https://course.ccs.neu.edu/cs3500f19/) \| 13 weeks \| 5-10 hours/week \| Class-based Program Design \| [chat](https://discord.com/channels/744385009028431943/891412022120579103) \| \| [Software Architecture](https://www.coursera.org/learn/software-architecture) \| 4 weeks \| 2-5 hours/week \| Object Oriented Design \| [chat](https://discord.com/channels/744385009028431943/891412169638432788) \| 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](https://openlearninglibrary.mit.edu/courses/course-v1:MITx+18.01.1x+2T2019/about) ([alternative](https://ocw.mit.edu/courses/mathematics/18-01sc-single-variable-calculus-fall-2010/index.htm)) \| 13 weeks \| 6-10 hours/week \| The alternate covers this and the following 2 courses \| [high school math](https://ossu.dev/precollege-math) \| [chat](https://discord.gg/mPCt45F) \| \| [Calculus 1B: Integration](https://openlearninglibrary.mit.edu/courses/course-v1:MITx+18.01.2x+3T2019/about) \| 13 weeks \| 5-10 hours/week \| \- \| Calculus 1A \| [chat](https://discord.gg/sddAsZg) \| \| [Calculus 1C: Coordinate Systems & Infinite Series](https://openlearninglibrary.mit.edu/courses/course-v1:MITx+18.01.3x+1T2020/about) \| 6 weeks \| 5-10 hours/week \| \- \| Calculus 1B \| [chat](https://discord.gg/FNEcNNq) \| \| [Mathematics for Computer Science](https://openlearninglibrary.mit.edu/courses/course-v1:OCW+6.042J+2T2019/about) ([alternative](https://ocw.mit.edu/courses/6-042j-mathematics-for-computer-science-fall-2010/)) \| 13 weeks \| 5 hours/week \| [2015/2019 solutions](https://github.com/spamegg1/Math-for-CS-solutions) [2010 solutions](https://github.com/frevib/mit-cs-math-6042-fall-2010-problems) [2005 solutions](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-fall-2005/assignments/). \| Calculus 1C \| [chat](https://discord.gg/EuTzNbF) \| 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](https://missing.csail.mit.edu/) \| 2 weeks \| 12 hours/week \| \- \| [chat](https://discord.gg/5FvKycS) \| 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](https://www.coursera.org/learn/build-a-computer) ([alternative](https://www.nand2tetris.org/)) \| 6 weeks \| 7-13 hours/week \| \- \| C-like programming language \| [chat](https://discord.gg/vxB2DRV) \| \| [Build a Modern Computer from First Principles: Nand to Tetris Part II](https://www.coursera.org/learn/nand2tetris2) \| 6 weeks \| 12-18 hours/week \| \- \| one of [these programming languages](https://user-images.githubusercontent.com/2046800/35426340-f6ce6358-026a-11e8-8bbb-4e95ac36b1d7.png), From Nand to Tetris Part I \| [chat](https://discord.gg/AsUXcPu) \| \| [Operating Systems: Three Easy Pieces](https://github.com/ossu/computer-science/blob/master/coursepages/ostep/README.md) \| 10-12 weeks \| 6-10 hours/week \| \- \| Nand to Tetris Part II \| [chat](https://discord.gg/wZNgpep) \| \| [Computer Networking: a Top-Down Approach](http://gaia.cs.umass.edu/kurose_ross/online_lectures.htm) \| 8 weeks \| 4–12 hours/week \| [Wireshark Labs](http://gaia.cs.umass.edu/kurose_ross/wireshark.php) \| algebra, probability, basic CS \| [chat](https://discord.gg/MJ9YXyV) \| 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](https://www.edx.org/learn/algorithms/stanford-university-algorithms-design-and-analysis-part-1) ([alternative](https://www.algorithmsilluminated.org/)) \| 8 weeks \| 4-8 hours/week \| any programming language, Mathematics for Computer Science \| [chat](https://discord.gg/mKRS7tY) \| \| [Algorithms: Design and Analysis, Part 2](https://www.edx.org/learn/algorithms/stanford-university-algorithms-design-and-analysis-part-2) \| 8 weeks \| 4-8 hours/week \| Algorithms Part 1 \| [chat](https://discord.gg/Qstqe4t) \| 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](https://www.edx.org/learn/cybersecurity/rochester-institute-of-technology-cybersecurity-fundamentals) \| 8 weeks \| 10-12 hours/week \| \- \| [chat](https://discord.gg/XdY3AwTFK4) \| \| [Principles of Secure Coding](https://www.coursera.org/learn/secure-coding-principles) \| 4 weeks \| 4 hours/week \| \- \| [chat](https://discord.gg/5gMdeSK) \| \| [Identifying Security Vulnerabilities](https://www.coursera.org/learn/identifying-security-vulnerabilities) \| 4 weeks \| 4 hours/week \| \- \| [chat](https://discord.gg/V78MjUS) \| Choose one of the following: \| Courses \| Duration \| Effort \| Prerequisites \| Discussion \| \|---\|---\|---\|---\|---\| \| [Identifying Security Vulnerabilities in C/C++ Programming](https://www.coursera.org/learn/identifying-security-vulnerabilities-c-programming) \| 4 weeks \| 5 hours/week \| \- \| [chat](https://discord.gg/Vbxce7A) \| \| [Exploiting and Securing Vulnerabilities in Java Applications](https://www.coursera.org/learn/exploiting-securing-vulnerabilities-java-applications) \| 4 weeks \| 5 hours/week \| \- \| [chat](https://discord.gg/QxC22rR) \| 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](https://www.edx.org/learn/databases/stanford-university-databases-modeling-and-theory) \| 2 weeks \| 10 hours/week \| core programming \| [chat](https://discord.gg/pMFqNf4) \| \| [Databases: Relational Databases and SQL](https://www.edx.org/learn/relational-databases/stanford-university-databases-relational-databases-and-sql) \| 2 weeks \| 10 hours/week \| core programming \| [chat](https://discord.gg/P8SPPyF) \| \| [Databases: Semistructured Data](https://www.edx.org/learn/relational-databases/stanford-university-databases-semistructured-data) \| 2 weeks \| 10 hours/week \| core programming \| [chat](https://discord.gg/duCJ3GN) \| \| [Machine Learning](https://www.deeplearning.ai/courses/machine-learning-specialization/) \| 11 weeks \| 9 hours/week \| Basic coding \| [chat](https://discord.gg/NcXHDjy) \| \| [Computer Graphics](https://www.edx.org/learn/computer-graphics/the-university-of-california-san-diego-computer-graphics) ([alternative](https://cseweb.ucsd.edu/~viscomp/classes/cse167/wi22/schedule.html)) \| 6 weeks \| 12 hours/week \| C++ or Java, [Basic Linear Algebra](https://ossu.dev/precollege-math/coursepages/precalculus) \| [chat](https://discord.gg/68WqMNV) \| \| [Software Engineering: Introduction](https://www.edx.org/learn/software-engineering/university-of-british-columbia-software-engineering-introduction) ([alternative](https://github.com/ubccpsc/310/blob/main/resources/README.md)) \| 6 weeks \| 8-10 hours/week \| Core Programming, and a [sizable project](https://github.com/ossu/computer-science/blob/master/FAQ.md#why-require-experience-with-a-sizable-project-before-the-Software-Engineering-courses) \| [chat](https://discord.gg/5Qtcwtz) \| 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](https://www.coursera.org/learn/ethics-technology-engineering) \| 9 weeks \| 2 hours/week \| none \| [chat](https://discord.gg/6ttjPmzZbe) \| \| [Introduction to Intellectual Property](https://www.coursera.org/learn/introduction-intellectual-property) \| 4 weeks \| 2 hours/week \| none \| [chat](https://discord.gg/YbuERswpAK) \| \| [Data Privacy Fundamentals](https://www.coursera.org/learn/northeastern-data-privacy) \| 3 weeks \| 3 hours/week \| none \| [chat](https://discord.gg/64J34ajNBd) \| 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](https://www.coursera.org/learn/scala-parallel-programming) \| 4 weeks \| 6-8 hours/week \| Scala programming \| \| [Compilers](https://www.edx.org/learn/computer-science/stanford-university-compilers) \| 9 weeks \| 6-8 hours/week \| none \| \| [Introduction to Haskell](https://www.seas.upenn.edu/~cis194/fall16/) \| 14 weeks \| \- \| \- \| \| [Learn Prolog Now\!](https://www.let.rug.nl/bos/lpn//lpnpage.php?pageid=online) ([alternative](https://github.com/ossu/computer-science/files/6085884/lpn.pdf))\* \| 12 weeks \| \- \| \- \| \| [Software Debugging](https://www.youtube.com/playlist?list=PLAwxTw4SYaPkxK63TiT88oEe-AIBhr96A) \| 8 weeks \| 6 hours/week \| Python, object-oriented programming \| \| [Software Testing](https://www.youtube.com/playlist?list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g) \| 4 weeks \| 6 hours/week \| Python, programming experience \| (\) book by Blackburn, Bos, Striegnitz (compiled from [source](https://github.com/LearnPrologNow/lpn), redistributed under [CC license](https://creativecommons.org/licenses/by-sa/4.0/)) 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](https://learning.edx.org/course/course-v1:MITx+6.004.1x_3+3T2016) [alternative 1](https://ocw.mit.edu/courses/6-004-computation-structures-spring-2017/) [alternative 2](https://ocw.mit.edu/courses/6-004-computation-structures-spring-2009/) \| 10 weeks \| 6 hours/week \| [Nand2Tetris II](https://www.coursera.org/learn/nand2tetris2) \| Alternate links contain all 3 courses. \| \| [Computation Structures 2: Computer Architecture](https://learning.edx.org/course/course-v1:MITx+6.004.2x+3T2015) \| 10 weeks \| 6 hours/week \| Computation Structures 1 \| \- \| \| [Computation Structures 3: Computer Organization](https://learning.edx.org/course/course-v1:MITx+6.004.3x_2+1T2017) \| 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](https://ocw.mit.edu/courses/18-404j-theory-of-computation-fall-2020/) ([alternative](https://www.youtube.com/playlist?list=PLEE7DF8F5E0203A56)) \| 13 weeks \| 10 hours/week \| [Mathematics for Computer Science](https://openlearninglibrary.mit.edu/courses/course-v1:OCW+6.042J+2T2019/about), logic, algorithms \| \| [Computational Geometry](https://www.edx.org/learn/geometry/tsinghua-university-ji-suan-ji-he-computational-geometry) \| 16 weeks \| 8 hours/week \| algorithms, C++ \| \| [Algorithmic Game Theory](https://timroughgarden.org/f13/f13.html) \| 10 weeks \| 12 hours/week \| Core Theory \| Advanced Information Security \| Courses \| Duration \| Effort \| Prerequisites \| \|---\|---\|---\|---\| \| [Web Security Fundamentals](https://www.edx.org/learn/computer-security/ku-leuven-web-security-fundamentals) \| 5 weeks \| 4-6 hours/week \| understanding basic web technologies \| \| [Security Governance & Compliance](https://www.coursera.org/learn/security-governance-compliance) \| 3 weeks \| 3 hours/week \| \- \| \| [Digital Forensics Concepts](https://www.coursera.org/learn/digital-forensics-concepts) \| 3 weeks \| 2-3 hours/week \| Core Security \| \| [Secure Software Development: Requirements, Design, and Reuse](https://www.edx.org/learn/software-development/the-linux-foundation-secure-software-development-requirements-design-and-reuse) \| 7 weeks \| 1-2 hours/week \| Core Programming and Core Security \| \| [Secure Software Development: Implementation](https://www.edx.org/learn/software-development/the-linux-foundation-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](https://www.edx.org/learn/software-engineering/the-linux-foundation-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](https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab) \| \- \| \- \| [high school math](https://ossu.dev/precollege-math) \| [chat](https://discord.gg/m6wHbP6) \| \| [Linear Algebra](https://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/) \| 14 weeks \| 12 hours/week \| corequisite: Essence of Linear Algebra \| [chat](https://discord.gg/k7nSWJH) \| \| [Introduction to Numerical Methods](https://ocw.mit.edu/courses/mathematics/18-335j-introduction-to-numerical-methods-spring-2019/index.htm) \| 14 weeks \| 12 hours/week \| [Linear Algebra](https://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/) \| [chat](https://discord.gg/FNEcNNq) \| \| [Introduction to Formal Logic](https://forallx.openlogicproject.org/) \| 10 weeks \| 4-8 hours/week \| [Set Theory](https://www.youtube.com/playlist?list=PL5KkMZvBpo5AH_5GpxMiryJT6Dkj32H6N) \| [chat](https://discord.gg/MbM2Gg5) \| \| [Probability](https://stat110.hsites.harvard.edu/) \| 15 weeks \| 5-10 hours/week \| [Differentiation and Integration](https://www.edx.org/course/calculus-1b-integration) \| [chat](https://discord.gg/UVjs9BU) \| 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](https://fullstackopen.com/en/) \| 12 weeks \| 15 hours/week \| programming \| \| [Modern Robotics](https://modernrobotics.northwestern.edu/) \| 26 weeks \| 2-5 hours/week \| freshman-level physics, linear algebra, calculus, [linear ordinary differential equations](https://www.khanacademy.org/math/differential-equations) \| \| [Data Mining (Specialization)](https://www.coursera.org/specializations/data-mining) \| 30 weeks \| 2-5 hours/week \| machine learning \| \| [Big Data (Specialization)](https://www.coursera.org/specializations/big-data) \| 30 weeks \| 3-5 hours/week \| none \| \| [Internet of Things (Specialization)](https://www.coursera.org/specializations/internet-of-things) \| 30 weeks \| 1-5 hours/week \| strong programming \| \| [Cloud Computing (Specialization)](https://www.coursera.org/specializations/cloud-computing) \| 30 weeks \| 2-6 hours/week \| C++ programming \| \| [Data Science (Specialization)](https://www.coursera.org/specializations/jhu-data-science) \| 43 weeks \| 1-6 hours/week \| none \| \| [Functional Programming in Scala (Specialization)](https://www.coursera.org/specializations/scala) \| 29 weeks \| 4-5 hours/week \| One year programming experience \| \| [Game Design and Development with Unity 2020 (Specialization)](https://www.coursera.org/specializations/game-design-and-development) \| 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](https://github.com/ossu/computer-science/blob/master/extras/readings.md) 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](https://www.meetup.com/)). - Pay attention to emerging technologies in the world of software development: - Explore the actor model* through [Elixir](https://elixir-lang.org/), a new functional programming language for the web based on the battle-tested Erlang Virtual Machine\! - Explore borrowing and lifetimes through [Rust](https://www.rust-lang.org/), a systems language which achieves memory- and thread-safety without a garbage collector\! - Explore dependent type systems through [Idris](https://www.idris-lang.org/), a new Haskell-inspired language with unprecedented support for type-driven development. [![keep learning](https://github.com/ossu/computer-science/raw/master/images/keep-learning.webp)](https://github.com/ossu/computer-science/blob/master/images/keep-learning.webp) Code of conduct [OSSU's code of conduct](https://github.com/ossu/code-of-conduct). How to show your progress [Fork](https://www.freecodecamp.org/news/how-to-fork-a-github-repository/) the [GitHub repo](https://github.com/ossu/computer-science) 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](https://en.wikipedia.org/wiki/Kanban_board) and will be faster to implement than any other solution (giving you time to spend on the courses). Team - [Eric Douglas](https://github.com/ericdouglas): founder of OSSU - [Josh Hanson](https://github.com/joshmhanson): lead technical maintainer - [Waciuma Wanjohi](https://github.com/waciumawanjohi): lead academic maintainer - [Contributors](https://github.com/ossu/computer-science/graphs/contributors)
Shard	174 (laksa)
Root Hash	6325672905007345774
Unparsed URL	com,github!/ossu/computer-science s443