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
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Gain insight into a topic and learn the fundamentals.
5,337 reviews
Intermediate level
Some related experience required
Flexible schedule
2 weeks at 10 hours a week
Learn at your own pace
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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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Showing 3 of 5337
CN
Reviewed on Mar 20, 2022
Since I am relatively new to computer science, this course is a little bit hard.But, overall it's ok and the course also mentioned the similar material is taken by sophomores, juniors and seniors.
JC
Reviewed on Jun 10, 2017
A really exciting and challenging course. Loved the way the instructor explained everything with so much detail and precision. Definitely looking forward to the next course in the specialization.
N
Reviewed on Dec 2, 2022
very intansive ,it has really challenged my knowledge level both in english language or in computational mathematics,i feel too configent now.thank Stanford University,thanks Coursera
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