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).
Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming
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Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming
This course is part of Algorithms Specialization
Instructor: Tim Roughgarden
81,738 already enrolled
Gain insight into a topic and learn the fundamentals.
1,275 reviews
Intermediate level
Some related experience required
Flexible schedule
2 weeks at 10 hours a week
Learn at your own pace
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Assessments
9 assignments
Taught in English
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This course is part of the Algorithms Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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QA
Reviewed on May 5, 2017
Outstanding course. Prof. Roughgarden is enthusiastic. The lectures, programming problems, and readings build a solid understanding.
YA
Reviewed on Feb 3, 2021
This course has wonderful lectures coupled with challenging but rewarding homework problems. It was a wonderful learning experience.
SC
Reviewed on Dec 30, 2020
Best (not one of the best) course available on web to learn theoretical algorithms. You will love it. Enjoy new journey and perspect to view and analyze algorithms. Loved it damn!
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