The primary topics in this part of the specialization are: asymptotic ("Big-oh") notation, sorting and searching, divide and conquer (master method, integer and matrix multiplication, closest pair), and randomized algorithms (QuickSort, contraction algorithm for min cuts).



Divide and Conquer, Sorting and Searching, and Randomized Algorithms
This course is part of Algorithms Specialization

Instructor: Tim Roughgarden
Access provided by SCB Academy
255,173 already enrolled
(5,313 reviews)
Skills you'll gain
Details to know

Add to your LinkedIn profile
9 assignments
See how employees at top companies are mastering in-demand skills

Build your subject-matter expertise
- 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

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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor

Offered by
Why people choose Coursera for their career




Learner reviews
5,313 reviews
- 5 stars
82.77%
- 4 stars
13.58%
- 3 stars
1.88%
- 2 stars
0.62%
- 1 star
1.12%
Showing 3 of 5313
Reviewed on Jan 26, 2018
It would be great if lectures and slides would be with better design and to make and record new slides and lectures. Because these lectures seems too old. Everything else is great.
Reviewed on Apr 28, 2017
As someone with only (UK) high school level maths I just about managed to follow this. I am still confused by logarithms. I guess I should go and read the maths for computer science resource.
Reviewed on Nov 6, 2016
Personally, I would recommend this course to anyone who really wants to learn how things work in that sort of algorithms. I found the assignments a little difficult, but also extremely helpful.
Explore more from Computer Science
Stanford University
Stanford University
University of Colorado Boulder
Stanford University