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
248,075 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
(5,273 reviews)
Intermediate level
Some related experience required
Flexible schedule
Approx. 15 hours
Learn at your own pace
94%
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Shareable certificate
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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 (693 ratings)Offered by
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4.8
5,273 reviews
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Showing 3 of 5273
SN
5
Reviewed on Mar 26, 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!
II
5
Reviewed on Sep 1, 2017
Amazing course. I learned a lot about algorithms, the implementation of algorithms, time complexity. I also learned a lot about being systematic and purposeful about including any line of code.
FR
5
Reviewed on Mar 16, 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
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