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StanfordOnline: Algorithms: Design and Analysis, Part 2 – Free Course

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Published July, 2024
EdX
edX
Track
Computer Science
Topic
Algorithms & Data Structures
Level
Beginner
Language
English
Lifetime Access
Yes
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Course Description

StanfordOnline: Algorithms: Design and Analysis, Part 2 is an advanced course that delves into more complex algorithmic concepts and techniques. This free course includes:

  • Greedy Algorithms: Learn about scheduling, minimum spanning trees, clustering, and Huffman codes.
  • Dynamic Programming: Master techniques such as the knapsack problem, sequence alignment, optimal search trees, and shortest paths.
  • NP-Completeness: Understand what NP-completeness means for algorithm designers and how to approach these problems.
  • Analysis of Heuristics: Explore methods to analyze heuristics and their effectiveness.
  • Local Search: Gain insights into local search algorithms and their applications.

This course is ideal for anyone looking to expand their knowledge of advanced algorithmic techniques and their practical applications.



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