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

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.