ocw.mit.edu
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MIT OpenCourseWare (OCW) is a free, openly accessible repository of MIT course materials. It offers lecture notes, assignments, exams, videos, and reading lists from a wide range of courses—perfect for self-paced study of topics like algorithms.
More resources on Algorithms
Algorithms, Part I
This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms. All the features of this course are available for free. People who are interested in digging deeper into the content may wish to obtain the textbook Algorithms, Fourth Edition (upon which the course is based) or visit the website algs4.cs.princeton.edu for a wealth of additional material. This course does not offer a certificate upon completion.
geeksforgeeks.org
GeeksforGeeks is a computer science education site with comprehensive tutorials on algorithms, data structures, and programming languages. It also offers practice problems, coding challenges, and interview prep resources.
algorithmica.org
Algorithmica.org is an educational resource for learning algorithms, offering tutorials and explanations on core topics such as data structures, graph algorithms, sorting, and complexity analysis. It also provides practical code examples and exercises to build intuition.
The Art of Computer Programming
The Art of Computer Programming - A book resource
Algorithms and Data Structures
Master algorithmic programming techniques necessary for top software engineering professions.