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 be up-to-date with the curriculum. Use the spreadsheet just to estimate the time you need. Use the OSSU CS website or the repo to see what courses to do.

Cost. All or nearly all course material is available for free. However, some courses may charge money for assignments/tests/projects to be graded. Note that both Coursera and edX offer financial aid.

Decide how much or how little to spend based on your own time and budget; just remember that you can't purchase success!

Process. Students can work through the curriculum alone or in groups, in order or out of order.

• We recommend doing all courses in Core CS, only skipping a course when you are certain that you've already learned the material previously.
• For simplicity, we recommend working through courses (especially Core CS) in order from top to bottom. Some students choose to study multiple courses at a time in order to vary the material they are working on is a day/week. A popular option is to take the math courses in parallel with the introductory courses. Course prerequisites are listed to help you determine if you are prepared for a given course.
• Courses in Advanced CS are electives. Choose one subject (e.g. Advanced programming) you want to become an expert in and take all the courses under that heading. You can also create your own custom subject; the Discord community may provide feedback on your planned subject.

Content policy. If you plan on showing off some of your coursework publicly, you must share only files that you are allowed to. Respect the code of conduct that you signed in the beginning of each course!

How to contribute

Getting help (Details about our FAQ and chatroom)

Community

• We have a Discord server! This should be your first stop to talk with other OSSU students. Why don't you introduce yourself right now? Join the OSSU Discord
• You can also interact through GitHub issues. If there is a problem with a course, or a change needs to be made to the curriculum, this is the place to start the conversation. Read more here.
• Add Open Source Society University to your Linkedin profile!

Warning: There are a few third-party/deprecated/outdated material that you might find when searching for OSSU. We recommend you to ignore them, and only use the OSSU CS website or OSSU CS Github Repo. Some known outdated materials are:

• An unmaintained and deprecated firebase app. Read more in the FAQ.
• An unmaintained and deprecated trello board
• Third-party notion templates

Curriculum

Curriculum version: 8.0.0 (see CHANGELOG)

• Prerequisites
• Intro CS
  • Introduction to Programming
  • Introduction to Computer Science
• 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

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Prerequisites

• Core CS assumes the student has already taken high school math, including algebra, geometry, and pre-calculus.
• Advanced CS assumes the student has already taken the entirety of Core CS and is knowledgeable enough now to decide which electives to take.
• Note that Advanced systems assumes the student has taken a basic physics course (e.g. AP Physics in high school).

Intro CS

Introduction to Programming

If you've never written a for-loop, or don't know what a string is in programming, start here. This course is self-paced, allowing you to adjust the number of hours you spend per week to meet your needs.

Topics covered: simple programs simple data structures

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

Introduction to Computer Science

This course will introduce you to the world of computer science. Students who have been introduced to programming, either from the courses above or through study elsewhere, should take this course for a flavor of the material to come. If you finish the course wanting more, Computer Science is likely for you!

Topics covered: computation imperative programming basic data structures and algorithms and more

Courses	Duration	Effort	Prerequisites	Discussion
Introduction to Computer Science and Programming using Python	9 weeks	15 hours/week	high school algebra	chat

Core CS

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

Core programming

Topics covered: functional programming design for testing program requirements common design patterns unit testing object-oriented design static typing dynamic typing ML-family languages (via Standard ML) Lisp-family languages (via Racket) Ruby and more

Courses	Duration	Effort	Prerequisites	Discussion
Systematic Program Design	13 weeks	8-10 hours/week	none	chat: part 1 / part 2
Class-based Program Design	13 weeks	5-10 hours/week	Systematic Program Design, High School Math	chat
Programming Languages, Part A	5 weeks	4-8 hours/week	Systematic Program Design (Hear instructor)	chat
Programming Languages, Part B	3 weeks	4-8 hours/week	Programming Languages, Part A	chat
Programming Languages, Part C	3 weeks	4-8 hours/week	Programming Languages, Part B	chat
Object-Oriented Design	13 weeks	5-10 hours/week	Class Based Program Design	chat
Software Architecture	4 weeks	2-5 hours/week	Object Oriented Design	chat

Core math

Discrete math (Math for CS) is a prerequisite and closely related to the study of algorithms and data structures. Calculus both prepares students for discrete math and helps students develop mathematical maturity.

Topics covered: discrete mathematics mathematical proofs basic statistics O-notation discrete probability and more

Courses	Duration	Effort	Notes	Prerequisites	Discussion
Calculus 1A: Differentiation (alternative)	13 weeks	6-10 hours/week	The alternate covers this and the following 2 courses	high school math	chat
Calculus 1B: Integration	13 weeks	5-10 hours/week	-	Calculus 1A	chat
Calculus 1C: Coordinate Systems & Infinite Series	6 weeks	5-10 hours/week	-	Calculus 1B	chat
Mathematics for Computer Science (alternative)	13 weeks	5 hours/week	2015/2019 solutions 2010 solutions 2005 solutions.	Calculus 1C	chat

CS Tools

Understanding theory is important, but you will also be expected to create programs. There are a number of tools that are widely used to make that process easier. Learn them now to ease your future work writing programs.

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

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

Core systems

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

Courses	Duration	Effort	Additional Text / Assignments	Prerequisites	Discussion
Build a Modern Computer from First Principles: From Nand to Tetris (alternative)	6 weeks	7-13 hours/week	-	C-like programming language	chat
Build a Modern Computer from First Principles: Nand to Tetris Part II	6 weeks	12-18 hours/week	-	one of these programming languages, From Nand to Tetris Part I	chat
Operating Systems: Three Easy Pieces	10-12 weeks	6-10 hours/week	-	Nand to Tetris Part II	chat
Computer Networking: a Top-Down Approach	8 weeks	4–12 hours/week	Wireshark Labs	algebra, probability, basic CS	chat

Core theory

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

Courses	Duration	Effort	Prerequisites	Discussion
Divide and Conquer, Sorting and Searching, and Randomized Algorithms	4 weeks	4-8 hours/week	any programming language, Mathematics for Computer Science	chat
Graph Search, Shortest Paths, and Data Structures	4 weeks	4-8 hours/week	Divide and Conquer, Sorting and Searching, and Randomized Algorithms	chat
Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming	4 weeks	4-8 hours/week	Graph Search, Shortest Paths, and Data Structures	chat
Shortest Paths Revisited, NP-Complete Problems and What To Do About Them	4 weeks	4-8 hours/week	Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming	chat

Core security

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

Courses	Duration	Effort	Prerequisites	Discussion
Cybersecurity Fundamentals	8 weeks	10-12 hours/week	-	chat
Principles of Secure Coding	4 weeks	4 hours/week	-	chat
Identifying Security Vulnerabilities	4 weeks	4 hours/week	-	chat

Choose one of the following:

Courses	Duration	Effort	Prerequisites	Discussion
Identifying Security Vulnerabilities in C/C++Programming	4 weeks	5 hours/week	-	chat
Exploiting and Securing Vulnerabilities in Java Applications	4 weeks	5 hours/week	-	chat

Core applications

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

Courses	Duration	Effort	Prerequisites	Discussion
Databases: Modeling and Theory	2 weeks	10 hours/week	core programming	chat
Databases: Relational Databases and SQL	2 weeks	10 hours/week	core programming	chat
Databases: Semistructured Data	2 weeks	10 hours/week	core programming	chat
Machine Learning	11 weeks	9 hours/week	Basic coding	chat
Computer Graphics (alternative)	6 weeks	12 hours/week	C++ or Java, linear algebra	chat
Software Engineering: Introduction ([alternative]](https://github.com/ubccpsc/310/blob/main/resources/README.md))	6 weeks	8-10 hours/week	Core Programming, and a sizable project	chat

Core ethics

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

Courses	Duration	Effort	Prerequisites	Discussion
Ethics, Technology and Engineering	9 weeks	2 hours/week	none	chat
Introduction to Intellectual Property	4 weeks	2 hours/week	none	chat
Data Privacy Fundamentals	3 weeks	3 hours/week	none	chat

Advanced CS

After completing every required course in Core CS, students should choose a subset of courses from Advanced CS based on interest. Not every course from a subcategory needs to be taken. But students should take every course that is relevant to the field they intend to go into.

Advanced programming

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

Courses	Duration	Effort	Prerequisites
Parallel Programming	4 weeks	6-8 hours/week	Scala programming
Compilers	9 weeks	6-8 hours/week	none
Introduction to Haskell	14 weeks	-	-
Learn Prolog Now! (alternative)*	12 weeks	-	-
Software Debugging	8 weeks	6 hours/week	Python, object-oriented programming
Software Testing	4 weeks	6 hours/week	Python, programming experience

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

Advanced systems

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

Courses	Duration	Effort	Prerequisites	Notes
Computation Structures 1: Digital Circuits alternative 1 alternative 2	10 weeks	6 hours/week	Nand2Tetris II	Alternate links contain all 3 courses.
Computation Structures 2: Computer Architecture	10 weeks	6 hours/week	Computation Structures 1
Computation Structures 3: Computer Organization	10 weeks	6 hours/week	Computation Structures 2

Advanced theory

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

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

Advanced Information Security

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

Advanced math

Courses	Duration	Effort	Prerequisites	Discussion
Essence of Linear Algebra	-	-	high school math	chat
Linear Algebra	14 weeks	12 hours/week	corequisite: Essence of Linear Algebra	chat
Introduction to Numerical Methods	14 weeks	12 hours/week	Linear Algebra	chat
Introduction to Formal Logic	10 weeks	4-8 hours/week	Set Theory	chat
Probability	15 weeks	5-10 hours/week	Differentiation and Integration	chat

Final project

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

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

Students who would like more guidance in creating a project may choose to use a series of project oriented courses. Here is a sample of options (many more are available, at this point you should be capable of identifying a series that is interesting and relevant to you):

Courses	Duration	Effort	Prerequisites
Fullstack Open	12 weeks	15 hours/week	programming
Modern Robotics (Specialization)	26 weeks	2-5 hours/week	freshman-level physics, linear algebra, calculus, linear ordinary differential equations
Data Mining (Specialization)	30 weeks	2-5 hours/week	machine learning
Big Data (Specialization)	30 weeks	3-5 hours/week	none
Internet of Things (Specialization)	30 weeks	1-5 hours/week	strong programming
Cloud Computing (Specialization)	30 weeks	2-6 hours/week	C++ programming
Data Science (Specialization)	43 weeks	1-6 hours/week	none
Functional Programming in Scala (Specialization)	29 weeks	4-5 hours/week	One year programming experience
Game Design and Development with Unity 2020 (Specialization)	6 months	5 hours/week	programming, interactive design

Congratulations

After completing the requirements of the curriculum above, you will have completed the equivalent of a full bachelor's degree in Computer Science. Congratulations!

What is next for you? The possibilities are boundless and overlapping:

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

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