Stanford University
Divide and Conquer, Sorting and Searching, and Randomized Algorithms
Stanford University

Divide and Conquer, Sorting and Searching, and Randomized Algorithms

This course is part of Algorithms Specialization

Tim Roughgarden

Instructor: Tim Roughgarden

244,759 already enrolled

Gain insight into a topic and learn the fundamentals.
4.8

(5,247 reviews)

Intermediate level
Some related experience required
Flexible schedule
Approx. 15 hours
Learn at your own pace
94%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.8

(5,247 reviews)

Intermediate level
Some related experience required
Flexible schedule
Approx. 15 hours
Learn at your own pace
94%
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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There are 4 modules in this course

Introduction; "big-oh" notation and asymptotic analysis.

What's included

13 videos3 readings2 assignments

Divide-and-conquer basics; the master method for analyzing divide and conquer algorithms.

What's included

11 videos2 readings2 assignments

The QuickSort algorithm and its analysis; probability review.

What's included

9 videos1 reading2 assignments

Linear-time selection; graphs, cuts, and the contraction algorithm.

What's included

11 videos3 readings3 assignments

Instructor

Instructor ratings
4.7 (681 ratings)
Tim Roughgarden
Stanford University
6 Courses365,150 learners

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Recommended if you're interested in Algorithms

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Learner reviews

Showing 3 of 5247

4.8

5,247 reviews

  • 5 stars

    82.84%

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    13.60%

  • 3 stars

    1.88%

  • 2 stars

    0.60%

  • 1 star

    1.04%

SN
5

Reviewed on Mar 25, 2020

CN
4

Reviewed on Mar 20, 2022

DT
5

Reviewed on May 26, 2020

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