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
Divide and Conquer, Sorting and Searching, and Randomized Algorithms
This course is part of Algorithms Specialization
Instructor: Tim Roughgarden
245,539 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
(5,258 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
Shareable certificate
Add to your LinkedIn profile
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 (686 ratings)Offered by
Recommended if you're interested in Algorithms
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4.8
5,258 reviews
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Showing 3 of 5258
SN
5
Reviewed on Mar 25, 2020
I'm happy with this course because is a little challenging, not like other coursers where there are trivial answers and tests. I feel now much more confident with my fundamentals. Thank you Tim!
NE
5
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.
CN
4
Reviewed on Mar 20, 2022
Since I am relatively new to computer science, this course is a little bit hard.
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