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
Sponsored by EdgePoint Software
246,396 already enrolled
(5,260 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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
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
Offered by
Why people choose Coursera for their career
Learner reviews
5,260 reviews
- 5 stars
82.85%
- 4 stars
13.57%
- 3 stars
1.88%
- 2 stars
0.60%
- 1 star
1.08%
Showing 3 of 5260
Reviewed on Mar 20, 2022
Since I am relatively new to computer science, this course is a little bit hard.
Reviewed on Apr 7, 2018
I would like a better balance workload from week to week. In my experience it increase every week, so last week I was in a rush, not even being able to go through the optional material.
Reviewed on Mar 15, 2017
Very good course in algorithms. I bought the book to help me understand but the lectures make it way easier and thus much more fun to understand the analysis. Looking forward to complete the spec
Recommended if you're interested in Computer Science
Tsinghua University
Whizlabs
Simplilearn
Princeton University
Open new doors with Coursera Plus
Unlimited access to 10,000+ 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