MIT's Introduction to Algorithms (6.006) is a rigorous free course on MIT OpenCourseWare covering algorithm design and analysis: sorting, hashing, trees, graphs, shortest paths, and dynamic programming. Everything is taught with mathematical proofs. After finishing, you understand how to design efficient algorithms and prove their correctness, essential for technical interviews and computer science. The main limitation: this is one of MIT's hardest undergrad courses. Expect to spend 15-20 hours per week if you do the problem sets.
Algorithm knowledge is tested in 80%+ of software engineering interviews at major tech companies, making it one of the most high-value skills to develop (source: interview prep community surveys).
About This Course
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.
Course Details
Frequently Asked Questions
Is MIT Algorithms free?
Yes, free on MIT OpenCourseWare.
Do I need to know Python?
The course uses Python for examples, but the focus is on the algorithms, not the language.
Is this the best algorithm course for interviews?
For deep understanding, yes. For interview-focused prep, combine it with LeetCode practice.
How hard is this?
Very hard. It's a required course for MIT CS majors. The problem sets require mathematical maturity.
What should I know before taking this?
Discrete math, basic data structures, and MIT's Python intro (6.0001/6.0002) or equivalent.
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