Introduction to Algorithms (MIT 6.006) - Video lectures 2020
Erik Demaine and Jason Ku and Justin Solomon

@article{,
title= {Introduction to Algorithms (MIT 6.006) - Video lectures 2020},
journal= {},
author= {Erik Demaine and Jason Ku and Justin Solomon},
year= {2020},
url= {https://ocw.mit.edu/6-006S20},
abstract= {This course is an introduction to mathematical modeling of computational problems, as well as common algorithms, algorithmic paradigms, and data structures used to solve these problems. It emphasizes the relationship between algorithms and programming and introduces basic performance measures and analysis techniques for these problems.

**Main course URL:** https://ocw.mit.edu/6-006S20

**Table of contents:**

* Lecture 1: Algorithms and Computation
* Lecture 2: Data Structures and Dynamic Arrays
* Lecture 3: Sets and Sorting
* Lecture 4: Hashing
* Lecture 5: Linear Sorting
* Lecture 6: Binary Trees, Part 1
* Lecture 7: Binary Trees, Part 2: AVL
* Lecture 8: Binary Heaps
* Lecture 9: Breadth-First Search
* Lecture 10: Depth-First Search
* Lecture 11: Weighted Shortest Paths
* Lecture 12: Bellman-Ford
* Lecture 13: Dijkstra
* Lecture 14: APSP and Johnson
* Lecture 15: Dynamic Programming, Part 1: SRTBOT, Fib, DAGs, Bowling
* Lecture 16: Dynamic Programming, Part 2: LCS, LIS, Coins
* Lecture 17: Dynamic Programming, Part 3: APSP, Parens, Piano
* Lecture 18: Dynamic Programming, Part 4: Rods, Subset Sum, Pseudopolynomial
* Lecture 19: Complexity
* Lecture 20: Course Review
* Lecture 21: Algorithms—Next Steps

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keywords= {Computer Science, Programming, algorithms, computer engineering},
terms= {https://ocw.mit.edu/terms},
license= {https://creativecommons.org/licenses/by-nc-sa/4.0/},
superseded= {}
}