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
Access provided by New York State Department of Labor
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Gain insight into a topic and learn the fundamentals.
4.8
(5,293 reviews)
Intermediate level
Some related experience required
Flexible schedule
Approx. 15 hours
Learn at your own pace
94%
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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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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 (697 ratings)Offered by
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4.8
5,293 reviews
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JB
5
Reviewed on Jun 16, 2018
Challenging and eye opening to algorithm design paradigms. As a code writer for data analysis in a scientific field, this course really motivated me to delve deeper in this rich field.
MK
5
Reviewed on Sep 15, 2019
This course is awesome and a bit challenging. The special part is about the problem quizzes which is about the running time analyses of the algorithms. And the professor is superb :-)
KS
5
Reviewed on Sep 14, 2018
Well researched. Topics covered well, with walkthrough for exam.le cases for each new introduced algorithm. Great experience, learned a lot of important algorithms and algorithmic thinking practices.
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