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 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.
Reviewed on May 27, 2020
Thank you for teaching me this course. I learned a lot of new things, including Divide-and-Conquer, MergeSort, QuickSort, and Randomization Algorithms, along with proof for their asymptotic runtime
Reviewed on Apr 27, 2020
Professor Tim is an amazing instructor, and he explained all those elegant proofs in a brief and concise manner. I really enjoyed this course and certainly felt my IQ level going above roof ! :P
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