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

Taught in English

Some content may not be translated

Tim Roughgarden

Instructor: Tim Roughgarden

235,042 already enrolled

Course

Gain insight into a topic and learn the fundamentals

4.8

(5,193 reviews)

|

94%

Intermediate level
Some related experience required
16 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

9 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.8

(5,193 reviews)

|

94%

Intermediate level
Some related experience required
16 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

Placeholder

Build your subject-matter expertise

This course is part of the Algorithms Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 4 modules in this course

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

What's included

13 videos3 readings2 quizzes

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

What's included

11 videos2 readings2 quizzes

The QuickSort algorithm and its analysis; probability review.

What's included

9 videos1 reading2 quizzes

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

What's included

11 videos3 readings3 quizzes

Instructor

Instructor ratings
4.7 (669 ratings)
Tim Roughgarden
Stanford University
6 Courses353,825 learners

Offered by

Recommended if you're interested in Algorithms

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

Showing 3 of 5193

4.8

5,193 reviews

  • 5 stars

    82.90%

  • 4 stars

    13.63%

  • 3 stars

    1.84%

  • 2 stars

    0.59%

  • 1 star

    1.02%

SN
5

Reviewed on Mar 25, 2020

CN
4

Reviewed on Mar 20, 2022

JB
5

Reviewed on Jun 15, 2018

New to Algorithms? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions