MIT OpenCourseWare
MIT OpenCourseWare publishes virtually all MIT course content for free online. This includes complete materials from MIT's legendary computer science curriculum — lecture notes, problem sets, exams, and videos. Rigorous university-level content at no cost.
Our Verdict
MIT OpenCourseWare gives anyone free access to MIT's actual course materials. Best for highly self-motivated learners who already have some programming experience.
Pros & Cons
Pros
- MIT course materials, free
- Covers advanced CS topics deeply
Cons
- No community or instructors
- No certificates at all
Best for
Highly self-motivated learners who want university-level rigor.
All MIT OpenCourseWare Courses (8)
MIT's legendary introductory programming course. Covers computational thinking, algorithms, data structures, and OOP using Python. Full lecture videos, problem sets, and exams available free.
MIT's core algorithms course. Covers sorting, searching, dynamic programming, graph algorithms, and shortest paths using Python. Full lecture notes and problem sets available free.
MIT's math for CS course. Covers logic, proofs, graph theory, probability, and recurrences — foundational for computer science theory and technical interviews.
MIT's annual deep learning course. Covers deep learning fundamentals, CNNs, RNNs, generative models, and responsible AI. Lecture videos updated annually and completely free.
MIT's graduate-level machine learning course. Covers supervised and unsupervised learning, neural networks, SVMs, Bayesian methods, EM algorithm, and reinforcement learning.
MIT's software engineering course using Java. Covers specifications, testing, abstraction, concurrency, and design patterns. Full lecture notes and problem sets.
MIT's hands-on introduction to programming in C. Covers syntax, pointers, memory management, data structures, and the C standard library. Includes lecture notes, problem sets, and exams. The classic free C course from MIT OpenCourseWare.
MIT's introductory C++ course. Covers C-style fundamentals, classes, inheritance, polymorphism, templates, and the STL. Includes complete lecture notes, assignments, and quizzes — all free on OpenCourseWare.