Stanford University
Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming
Stanford University

Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

This course is part of Algorithms Specialization

Tim Roughgarden

Instructor: Tim Roughgarden

78,035 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
95%
Most learners liked this course
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
95%
Most learners liked this course

Details to know

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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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  • Gain a foundational understanding of a subject or tool
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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)
Tim Roughgarden
Stanford University
6 Courses363,848 learners

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4.8

1,261 reviews

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Reviewed on Sep 22, 2017

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