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
Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming
This course is part of Algorithms Specialization
Instructor: Tim Roughgarden
77,961 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
(1,261 reviews)
Intermediate level
Some related experience required
Flexible schedule
Approx. 14 hours
Learn at your own pace
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Shareable certificate
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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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There are 4 modules in this course
Two motivating applications; selected review; introduction to greedy algorithms; a scheduling application; Prim's MST algorithm.
What's included
16 videos4 readings2 assignments
Kruskal's MST algorithm and applications to clustering; advanced union-find (optional).
What's included
16 videos2 readings2 assignments
Huffman codes; introduction to dynamic programming.
What's included
11 videos1 reading2 assignments
Advanced dynamic programming: the knapsack problem, sequence alignment, and optimal binary search trees.
What's included
10 videos3 readings3 assignments
Instructor
Instructor ratings
4.8 (76 ratings)Offered by
Recommended if you're interested in Algorithms
Stanford University
Stanford University
Stanford University
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Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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