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This repository is a curated list of full-length computer science video lecture series across many universities and MOOC platforms, helping learners assemble their own curriculum. The list spans foundational topics like algorithms, data structures, operating systems, computer networks, machine learning, and more, all delivered via lectures rather than just textual tutorials. The contributor guidelines encourage adding high-quality courses (not just casual tutorials) so the list remains academically oriented. Because it’s updated and community maintained, the collection grows with new offerings and helps learners evaluate what courses are available before starting. For self-taught engineers, graduates, or career-changers, this repository acts as a roadmap: pick courses, follow them, mark completion, and build a depth of theoretical foundation. It’s especially useful when mapping out a learning path rather than relying on a single bootcamp or video series.
Features
- Curated list of full-course video lectures across CS topics
- Organized by subject (algorithms, systems, ML, etc) for structured access
- Community-contributed links and updates for freshness
- Clear guidelines for what constitutes inclusion (university-level)
- Minimal friction: mostly links and metadata so easy to browse
- Free-to-access nature simplifies self-paced learning
Project Samples
