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Last updated:

September 21, 2023

Duration:

Unlimited Duration

FREE

This course includes:

Unlimited Duration

Badge on Completion

Certificate of completion

Unlimited Duration

Description

6.046J/18.410J Introduction to Algorithms (SMA 5503, MIT OCW). This consists of 25 video lectures given by Professor Charles Leiserson and Professor Erik Demaine, introducing the analysis and design of computer algorithms.

This course teaches techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics covered include: sorting; search trees, heaps, and hashing; divide-and-conquer; dynamic programming; amortized analysis; graph algorithms; shortest paths; network flow; computational geometry; number-theoretic algorithms; polynomial and matrix calculations; caching; and parallel computing. (from ocw.mit.edu)

Course Curriculum

  • Lecture 01 – Administrivia; Introduction; Analysis of Algorithms, Insertion Sort, Mergesort Unlimited
  • Lecture 02 – Asymptotic Notation; Recurrences; Substitution, Master Method Unlimited
  • Lecture 03 – Divide-and-Conquer: Strassen, Fibonacci, Polynomial Multiplication Unlimited
  • Lecture 04 – Quicksort, Randomized Algorithms Unlimited
  • Lecture 05 – Linear-time Sorting: Lower Bounds, Counting Sort, Radix Sort Unlimited
  • Lecture 06 – Order Statistics, Median Unlimited
  • Lecture 07 – Hashing, Hash Functions Unlimited
  • Lecture 08 – Universal Hashing, Perfect Hashing Unlimited
  • Lecture 09 – Relation of BSTs to Quicksort – Analysis of Random BST Unlimited
  • Lecture 10 – Red-black Trees, Rotations, Insertions, Deletio Unlimited
  • Lecture 11 – Augmenting Data Structures, Dynamic Order Statistics, Interval Trees Unlimited
  • Lecture 12 – Skip Lists Unlimited
  • Lecture 13 – Amortized Algorithms, Table Doubling, Potential Method Unlimited
  • Lecture 14 – Competitive Analysis: Self-organizing Lists Unlimited
  • Lecture 15 – Dynamic Programming, Longest Common Subsequence Unlimited
  • Lecture 16 – Greedy Algorithms, Minimum Spanning Trees Unlimited
  • Lecture 17 – Shortest Paths I: Properties, Dijkstra’s Algorithm, Breadth-first Search Unlimited
  • Lecture 18 – Shortest Paths II: Bellman-Ford, Linear Programming, Difference Constraints Unlimited
  • Lecture 19 – Shortest Paths III: All-pairs Shortest Paths, Matrix Multiplication, Floyd-Warshall Unlimited
  • Lecture 22 – Advanced Topics Unlimited
  • Lecture 23 – Advanced Topics (cont.) Unlimited
  • Lecture 24 – Advanced Topics (cont.) Unlimited
  • Lecture 25 – Advanced Topics (cont.) – Discussion of Follow-on Classes Unlimited

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