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
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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
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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!
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.
Reviewed on Sep 14, 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 :-)
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