my_open_source_cs

📚:octocat:

My free open source curriculum to learn computer science. Although it's not the path of least resistance, learning by doing is super effective: write code, make mistakes, learn from them, and most importantly enjoy the process.

This is a curated list of free courses from reputable universities that satisfy the same requirements as an undergraduate computer science degree, minus general education. Helpful resources have also been added for supplementary learning. Please feel free to star/fork this repository and personalize it to your own learning path.

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Computer Science Basics / Programming

Courses	School	Duration	Effort	Frequency	Prerequisites	Status
Intro to Computer Science	Harvard	10 weeks	10-20 hours/week	self-paced	none	✔️
Web Programming with Python and JavaScript	Harvard	12 weeks	10-20 hours/week	self-paced	Intro to Computer Science	✔️

Math

Courses	School	Duration	Effort	Frequency	Prerequisites	Status
Calculus 1	URI	12 weeks	6-10 hours/week	/	Pre-calculus	✔️
Linear Algebra	UT Austin	15 weeks	6-10 hours/week	self-paced	Pre-calculus
Pre-calculus	URI	12 weeks	6-10 hours/week	/	Algebra	✔️
Introduction to Probability and Statistics	URI	12 weeks	6-10 hours/week	/	Algebra	✔️
Algebra	URI	12 weeks	6-10 hours/week	/	none	✔️

Systems

Courses	School	Duration	Effort	Frequency	Prerequisites	Status
Build a Modern Computer from First Principles: From Nand to Tetris	Hebrew University of Jerusalem	6 weeks	5 hours/week	twice a month	basic programming knowledge	✔️
Build a Modern Computer from First Principles: From Nand to Tetris II	Hebrew University of Jerusalem	6 weeks	10-15 hours/week	once a month	Build a Modern Computer from First Principles: From Nand to Tetris
Introduction to Operating Systems	Georgia Tech	8 weeks	5-8 hours/week	self-paced	Build a Modern Computer from First Principles: From Nand to Tetris II

Theory

Courses	School	Duration	Effort	Frequency	Prerequisites	Status
Computer Science: Algorithms, Theory, and Machines	Princeton	10 weeks	2-5 hours/week	once a month	Calculus 1A (all), basic programming
Algorithms, Part I	Princeton	6 weeks	6-12 hours/week	once a month	Computer Science: Algorithms, Theory, and Machines
Algorithms, Part II	Princeton	6 weeks	6-12 hours/week	once a month	Algorithms, Part I

Applications

Courses	School	Duration	Effort	Frequency	Prerequisites	Status
Machine Learning	Stanford	11 weeks	5-7 hours/week	twice a month	Linear Algebra - Foundations to Frontiers
Database Management Essentials	University of Colorado	7 weeks	4-6 hours/week	twice a month	basic programming & CS knowledge	✔️
Cryptography I	Stanford	7 weeks	5 hours/week	once a month	Linear Algebra - Foundations to Frontiers & Introduction to Probability and Data

Unix

Courses	School	Duration	Effort	Frequency	Prerequisites	Status
Linux Command Line Basics	Udacity	1 week	5 hours/week	self-paced	none	✔️
The Unix Workbench	Johns Hopkins University	4 weeks	4 hours/week	once a month	none	✔️

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Supplementary Materials

Before approaching any open source curriculum, please give these a watch/read: Self Taught Programmers: Advice, Challenges, and Why We Need Them (mayuko), How I would learn to code (If I could start over) (Jason Goodison), and How to Break into Tech.

• YouTube channels: Corey Schafer, Tech With Tim, Gaurav Sen, The Net Ninja, Pretty Printed, Amigoscode, Telusko, and Web Dev Simplified.

• Podcasts: The freeCodeCamp Podcast, Ladybug Podcast, Front End Happy Hour, Indie Hackers, The StackOverflow Podcast, and CodeNewbie.

• Networking: Twitter and Meetup.com.

• Jobs: LinkedIn, TripleByte, AngelList, WhiteTruffle, SmartHires, referrals from friends, and company websites.

• Problem solving websites: I mainly use LeetCode. All my problem set solutions are located in my practice problem repository. Highly recommend NeetCode which curates and categorizes popular LeetCode problems.