The primary topics in this part of the specialization are: greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, optimal search trees).
A Dynamic Programming Algorithm
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Skills You'll Learn
Spanning Tree, Algorithms, Dynamic Programming, Greedy Algorithm
Reviews
4.8 (1,261 ratings)
- 5 stars86.67%
- 4 stars11.34%
- 3 stars1.58%
- 2 stars0.15%
- 1 star0.23%
AB
Apr 22, 2020
Like the other courses in this specialization, the material is interesting and coherent. The pace is not fast enough to get lost and not so slow to insult your intelligence. I enjoyed it a lot!
SW
Feb 24, 2019
One of the best courses to make a student learn DP in a way that enables him/her to think of the subproblems and way to proceed to solving these subproblems. Definitely helpful for me. Thanks.
From the lesson
Week 4
Advanced dynamic programming: the knapsack problem, sequence alignment, and optimal binary search trees.
Taught By
Tim Roughgarden
Professor