Movatterモバイル変換


[0]ホーム

URL:


Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Sign up
Appearance settings

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

License

NotificationsYou must be signed in to change notification settings

practice-proactive/computer-science

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Open Source Society University (OSSU)

Open Source Society University

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

AwesomeOpen Source Society University - Computer ScienceContribute with OSSU on Patreon

Contents

Summary

The OSSU curriculum is acomplete 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 at least once a month or so)
  • Fulfill theacademic requirements of OSSU
  • Fit neatly into the progression of the curriculum with respect to topics and difficulty level
  • Be of generally high quality in teaching materials and pedagogical principles

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 inextras/courses orextras/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
  • Pro CS: graduate-level specializations students can elect to take after completing the above curriculum if they want to maximize their chances of getting a good job

Duration. It is possible to finish Core CS within about 2 years if you plan carefully and devote roughly 18-22 hours/week to your studies.Courses in Core CS should be taken linearly if possible, but since a perfectly linear progression is rarely possible,each class's prerequisites is specified so that you can design a logical but non-linear progressionbased on the class schedules and your own life plans.

Cost. All or nearly all course material prior to Pro CS is available for free,however some courses may charge money for assignments/tests/projects to be graded.Note that Coursera offersfinancial aid.Decide how much or how little to spend based on your own time and budget;just remember that you can't purchase success!

Content policy. If you plan on showing off some of your coursework publicly, you must share only files that you are allowed to.Do NOT disrespect the code of conduct that you signed in the beginning of each course!

How to contribute. Please seeCONTRIBUTING.

Getting help. Please check ourFrequently Asked Questions, and if you cannot find the answer, file an issue or talk to ourfriendly community!

Curriculum

Curriculum version:8.0.0 (seeCHANGELOG)


Prerequisites

  • Core CS assumes the student has already taken high school math and physics, including algebra, geometry, and pre-calculus.Some high school graduates will have already taken AP Calculus, but this is usually only about 3/4 of a college calculus class, so the calculus courses in the curriculum are still recommended.
  • Advanced CS assumes the student has already taken the entirety of Core CSand is knowledgeable enough now to decide which electives to take.
  • Note thatAdvanced systems assumes the student has taken a basic physics course (e.g. AP Physics in high school).

Introduction to Computer Science

These courses will introduce you to the world of computer science.Both are required, but feel free to skip straight to the second course when CS50 (the first course) moves away from C.(Why?)

Topics covered:imperative programmingprocedural programmingCmanual memory managementbasic data structures and algorithmsPythonSQLbasic HTML, CSS, JavaScriptand more

CoursesDurationEffortPrerequisites
Introduction to Computer Science - CS50 (alt)12 weeks10-20 hours/weeknone
Introduction to Computer Science and Programming using Python9 weeks15 hours/weekhigh school algebra

Core CS

All coursework under Core CS isrequired, unless otherwise indicated.

Core programming

Topics covered:functional programmingdesign for testingprogram requirementscommon design patternsunit testingobject-oriented designJavastatic typingdynamic typingML-family languages (via Standard ML)Lisp-family languages (via Racket)Rubyand more

CoursesDurationEffortPrerequisites
How to Code - Simple Data7 weeks8-10 hours/weeknone
How to Code - Complex Data6 weeks8-10 hours/weekHow to Code: Simple Data
Software Construction - Data Abstraction6 weeks8-10 hours/weekHow to Code - Complex Data
Software Construction - Object-Oriented Design6 weeks8-10 hours/weekSoftware Construction - Data Abstraction
Programming Languages, Part A4 weeks8-16 hours/weekrecommended: Java, C
Programming Languages, Part B3 weeks8-16 hours/weekProgramming Languages, Part A
Programming Languages, Part C3 weeks8-16 hours/weekProgramming Languages, Part B

Readings

Core math

Topics covered:linear transformationsmatricesvectorsmathematical proofsnumber theorydifferential calculusintegral calculussequences and seriesdiscrete mathematicsbasic statisticsO-notationgraph theoryvector calculusdiscrete probabilityand more

CoursesDurationEffortPrerequisites
Essence of Linear Algebra--pre-calculus
Linear Algebra - Foundations to Frontiers (alt)15 weeks8 hours/weekEssence of Linear Algebra
Calculus One1 (alt)16 weeks8-10 hours/weekpre-calculus
Calculus Two: Sequences and Series7 weeks9-10 hours/weekCalculus One
Mathematics for Computer Science13 weeks5 hours/weeksingle variable calculus (Calculus Two)

1 Note: When you are enrolled, please see thislist of errorsandthese recommendationsfor how to progress through the course.

Core systems

Topics covered:boolean algebragate logicmemorymachine languagecomputer architectureassemblymachine languagevirtual machineshigh-level languagescompilersoperating systemsnetwork protocolsand more

CoursesDurationEffortPrerequisites
Build a Modern Computer from First Principles: From Nand to Tetris (alt)6 weeks7-13 hours/weeknone
Build a Modern Computer from First Principles: Nand to Tetris Part II6 weeks12-18 hours/weekFrom Nand to Tetris Part I
Introduction to Computer Networking8 weeks4–12 hours/weekalgebra, probability, basic CS
ops-class.org - Hack the Kernel15 weeks6 hours/weekalgorithms

Readings

Core theory

Topics covered:divide and conquersorting and searchingrandomized algorithmsgraph searchshortest pathsdata structuresgreedy algorithmsminimum spanning treesdynamic programmingNP-completenessand more

CoursesDurationEffortPrerequisites
Algorithms: Design and Analysis, Part I8 weeks4-8 hours/weekany programming language, Mathematics for Computer Science
Algorithms: Design and Analysis, Part II8 weeks4-8 hours/weekPart I

Core applications

Topics covered:Agile methodologyRESTsoftware specificationsrefactoringrelational databasestransaction processingdata modelingneural networkssupervised learningunsupervised learningOpenGLraytracingblock ciphersauthenticationpublic key encryptionand more

CoursesDurationEffortPrerequisites
Databases12 weeks8-12 hours/weeksome programming, basic CS
Machine Learning11 weeks4-6 hours/weeklinear algebra
Computer Graphics6 weeks12 hours/weekC++ or Java, linear algebra
Cryptography I6 weeks5-7 hours/weeklinear algebra, probability
Software Engineering: Introduction6 weeks8-10 hours/weekSoftware Construction - Object-Oriented Design
Software Development Capstone Project6-7 weeks8-10 hours/weekSoftware Engineering: Introduction

Advanced CS

After completingevery 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 takeevery course that is relevant to the field they intend to go into.

The Advanced CS study should then end with one of the Specializations underAdvanced applications.A Specialization's Capstone, if taken, may act as theFinal project, if permitted by the Honor Code of the course.If not, or if a student chooses not to take the Capstone, then a separate Final project will need to be done to complete this curriculum.

Advanced programming

Topics covered:debugging theory and practicegoal-oriented programmingGPU programmingCUDAparallel computingobject-oriented analysis and designUMLlarge-scale software architecture and designand more

CoursesDurationEffortPrerequisites
Compilers9 weeks6-8 hours/weeknone
Software Debugging8 weeks6 hours/weekPython, object-oriented programming
Software Testing4 weeks6 hours/weekprogramming experience
LAFF: Programming for Correctness7 weeks6 hours/weeklinear algebra
Introduction to Parallel Programming12 weeks-C, algorithms
Software Architecture & Design8 weeks6 hours/weeksoftware engineering in Java

Advanced math

Topics covered:parametric equationspolar coordinate systemsmultivariable integralsmultivariable differentialsprobability theoryand more

CoursesDurationEffortPrerequisites
Calculus: Parametric Equations and Polar Coordinates--single-variable calculus (Calculus Two)
Multivariable Calculus13 weeks12 hours/weekParametric Equations and Polar Coordinates
Introduction to Probability - The Science of Uncertainty18 weeks12 hours/weekMultivariable Calculus

Advanced systems

Topics covered:digital signalingcombinational logicCMOS technologiessequential logicfinite state machinesprocessor instruction setscachespipeliningvirtualizationparallel processingvirtual memorysynchronization primitivessystem call interfaceand more

CoursesDurationEffortPrerequisites
Electricity and Magnetism, Part 117 weeks8-10 hours/weekcalculus, basic mechanics
Electricity and Magnetism, Part 27 weeks8-10 hours/weekElectricity and Magnetism, Part 1
Computation Structures 1: Digital Circuits10 weeks6 hours/weekelectricity, magnetism
Computation Structures 2: Computer Architecture10 weeks6 hours/weekComputation Structures 1
Computation Structures 3: Computer Organization10 weeks6 hours/weekComputation Structures 2

1 Note:These courses assume knowledge of basic physics.(Why?)If you are struggling, you can find a physics MOOC or utilize the materials from Khan Academy:Khan Academy - Physics

Advanced theory

Topics covered:formal languagesTuring machinescomputabilityevent-driven concurrencyautomatadistributed shared memoryconsensus algorithmsstate machine replicationcomputational geometry theorypropositional logicrelational logicHerbrand logicconcept latticesgame treesand more

CoursesDurationEffortPrerequisites
Introduction to Logic10 weeks4-8 hours/weekset theory
Automata Theory8 weeks10 hours/weekdiscrete mathematics, logic, algorithms
Reliable Distributed Systems, Part 15 weeks5 hours/weekScala, intermediate CS
Reliable Distributed Systems, Part 25 weeks5 hours/weekPart 1
Computational Geometry16 weeks8 hours/weekalgorithms, C++
Introduction to Formal Concept Analysis6 weeks4-6 hours/weeklogic, probability
Game Theory8 weeksx hours/weekmathematical thinking, probability, calculus

Advanced applications

These Coursera Specializations all end with a Capstone project.Depending on the course, you may be able to utilize the Capstone as your Final Project for this Computer Science curriculum.Note that doing a Specialization with the Capstone at the end always costs money.So if you don't wish to spend money or use the Capstone as your Final, it may be possible to take the courses in the Specialization for free by manually searching for them, but not all allow this.

CoursesDurationEffortPrerequisites
Robotics (Specialization)26 weeks2-5 hours/weeklinear algebra, calculus, programming, probability
Data Mining (Specialization)30 weeks2-5 hours/weekmachine learning
Big Data (Specialization)30 weeks3-5 hours/weeknone
Internet of Things (Specialization)30 weeks1-5 hours/weekstrong programming
Cloud Computing (Specialization)30 weeks2-6 hours/weekC++ programming
Full Stack Web Development (Specialization)27 weeks2-6 hours/weekprogramming, databases
Data Science (Specialization)43 weeks1-6 hours/weeknone
Functional Programming in Scala (Specialization)29 weeks4-5 hours/weeksOne year programming experience

Final project

OSS University isproject-focused.You are encouraged to do the assignments and exams for each course, but what really matters is whether you canuse your knowledge to solve a real world problem.

After you've gotten through all of Core CS and the parts of Advanced CS relevant to you, you should think about a problem that you can solve using the knowledge you've acquired.Not only does real project work look great on a resume, the project willvalidate andconsolidate your knowledge.You can create something entirely new, or you can find an existing project that needs help via websites likeCodeTriageorFirst Timers Only.

Another option is using the Capstone project from taking one of the Specializations inAdvanced applications;whether or not this makes sense depends on the course, the project, and whether or not the course's Honor Code permits you to display your work publicly.In some cases, it may not be permitted;donot violate your course's Honor Code!

Put the OSSU-CS badge in the README of your repository!Open Source Society University - Computer Science

  • Markdown:[![Open Source Society University - Computer Science](https://img.shields.io/badge/OSSU-computer--science-blue.svg)](https://github.com/ossu/computer-science)
  • HTML:<a href="https://github.com/ossu/computer-science"><img alt="Open Source Society University - Computer Science" src="https://img.shields.io/badge/OSSU-computer--science-blue.svg"></a>

Evaluation

Upon completing your final project, submit your project's information toPROJECTSvia a pull request and use ourcommunity channels to announce it to your fellow students.

Your peers and mentors from OSSU will then informally evaluate your project.You will not be "graded" in the traditional sense — everyone has their own measurements for what they consider a success.The purpose of the evaluation is to act as your first announcement to the world that you are a computer scientist,and to get experience listening to feedback — both positive and negative — and taking it in stride.

The final project evaluation has a second purpose: to evaluate whether OSSU,through its community and curriculum, is successful in its mission to guide independent learners in obtaining a world-class computer science education.

Cooperative work

You can create this project alone or with other students!We love cooperative work!Use ourchannels to communicate with other fellows to combine and create new projects!

Which programming languages should I use?

My friend, here is the best part of liberty!You can useany language that you want to complete the final project.

The important thing is tointernalize the core concepts and to be able to use them with whatever tool (programming language) that you wish.

Pro CS

After completing the requirements of the curriculum above, you will have completed the equivalent of a full bachelor's degree in Computer Science, or quite close to one.You can stop in the Advanced CS section, but the next step to completing your studies is to develop skills and knowledge in a specific domain.Many of these courses are graduate-level.

Choose one or more of the followingspecializations:

These aren't the only specializations you can choose. Check the following websites formore options:

Where to go next?

  • Look for a job as a developer!
  • Check out thereadings for classic books you can read that will sharpen your skills and expand your knowledge.
  • Join a local developer meetup (e.g. viameetup.com).
  • Pay attention to emerging technologies in the world of software development:
    • Explore theactor model throughElixir, a new functional programming language for the web based on the battle-tested Erlang Virtual Machine!
    • Exploreborrowing and lifetimes throughRust, a systems language which achieves memory- and thread-safety without a garbage collector!
    • Exploredependent type systems throughIdris, a new Haskell-inspired language with unprecedented support for type-driven development.

keep learning

Code of conduct

OSSU's code of conduct.

Community

PS: A forum is an ideal way to interact with other students as we do not lose important discussions, which usually occur in communication via chat apps.Please use our forum for important discussions.

How to show your progress

  1. Create an account inTrello.
  2. Copythis board to your personal account.See how to copy a boardhere.

Now that you have a copy of our official board, you just need to pass the cards to theDoing column orDone column as you progress in your study.

We also havelabels to help you have more control through the process.The meaning of each of these labels is:

  • Main Curriculum: cards with that label represent courses that are listed in our curriculum.
  • Extra Resources: cards with that label represent courses that was added by the student.
  • Doing: cards with that label represent courses the student is current doing.
  • Done: cards with that label represent courses finished by the student.Those cards should also have the link for at least one project/article built with the knowledge acquired in such course.
  • Section: cards with that label represent the section that we have in our curriculum.Those cards with theSection label are only to help the organization of the Done column.You should put theCourse's cards below its respectiveSection's card.

The intention of this board is to provide our students a way to track their progress, and also the ability to show their progress through a public page for friends, family, employers, etc.You can change the status of your board to bepublic orprivate.

Team

References

About

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

Resources

License

Contributing

Stars

Watchers

Forks

Packages

No packages published

[8]ページ先頭

©2009-2025 Movatter.jp