MIT 6.006: Introduction to Algorithms
The MIT algorithms course: data structures, graphs, and complexity.
35h 19m
On-demand video
32
Lessons
Included
Certificate
Mobile & TV
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This course includes:
- 35h 19m on-demand video (free)
- 32 lessons
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
What you'll learn
- Analyze algorithms with asymptotic (Big-O) notation
- Master core data structures: hashing, trees, heaps, and graphs
- Apply graph search, shortest paths, and dynamic programming
- Reason about correctness and computational tractability
Official study guide
The complete 39-page companion book for MIT 6.006: Introduction to Algorithms, covering every module with worked examples, key terms, self-check questions, and a full glossary. Print it or read it offline.
Course content
4 sections · 32 lessons · 35h 19m- 1. Algorithms and ComputationPreview45m
- 2. Data Structures and Dynamic Arrays50m
- Introduction to Algorithms - Problem Session 1: Asymptotic Behavior of Functions and Double-ended...1h 26m
- 3. Sets and Sorting52m
- 4. Hashing52m
- Problem Session 2 (MIT 6.006 Introduction to Algorithms, Spring 2020)1h 27m
- 5. Linear Sorting51m
- Problem Session 31h 26m
Requirements
- •Programming experience
- •Discrete math basics recommended
About this course
The MIT algorithms course: data structures, graphs, and complexity. This curated learning path is organized into 4 modules and 32 lessons, taught by MIT OpenCourseWare. MegaCourse adds structure, learning outcomes, progress tracking, and a shareable certificate of completion.
Who this course is for
- CS students
- Engineers preparing for technical interviews
Instructor
Trusted creator on MegaCourse
Licensing & attribution
License: CC BY-NC-SA 4.0
Source: MIT OpenCourseWare 6.006 (Erik Demaine, Jason Ku, Justin Solomon) - CC BY-NC-SA 4.0
Videos are embedded from their original creators and remain free to watch. MegaCourse's paid layer covers our own study guides, graded exams, certificates, and curation.
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