Question 1

Is Awesome CS Courses completely free to use?

Accepted Answer

Yes, all courses listed are freely available online from universities that open their materials. However, some external resources might require registration or have changed since listing.

Question 2

How often is Awesome CS Courses updated with new courses?

Accepted Answer

The repository is maintained by contributors, but there's no fixed update schedule. Check the commit history on GitHub for recent changes, as it's a community-driven project.

Question 3

Awesome CS Courses vs Coursera: which is better for self-learning?

Accepted Answer

Awesome CS Courses is better for accessing raw academic materials from top universities for free, while Coursera offers structured courses with certificates, deadlines, and interactive elements at a cost. Choose based on whether you prefer academic depth or guided learning.

Question 4

How to contribute a new course to Awesome CS Courses?

Accepted Answer

Fork the GitHub repository, add your course in the appropriate category with the required format and resource icons, then submit a pull request. Ensure the course has substantial free materials as per the project's standards.

Question 5

Does Awesome CS Courses include assignments and solutions?

Accepted Answer

Many listings include assignments, as indicated by the assignment icon, but solutions are rarely provided. You'll need to rely on external resources or community help for answers, as universities often don't publish solutions publicly.

Question 6

What are the best machine learning courses on Awesome CS Courses?

Accepted Answer

Look under the Machine Learning category; it includes courses from Stanford, MIT, and others with videos, notes, and projects. For example, Stanford's CS229 is highly recommended for its comprehensive materials.

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