Divide and Conquer, Sorting and Searching, and Randomized Algorithms (Coursera)

Divide and Conquer, Sorting and Searching, and Randomized Algorithms is an Online Course, Offered by Stanford University via Coursera.

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Divide and Conquer, Sorting and Searching, and Randomized Algorithms (Coursera)

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).

Syllabus

Week 1

Introduction; “big-oh” notation and asymptotic analysis.

Week 2

Divide-and-conquer basics; the master method for analyzing divide and conquer algorithms.

Week 3

The QuickSort algorithm and its analysis; probability review.

Week 4

Linear-time selection; graphs, cuts, and the contraction algorithm.

Teacher

Tim Roughgarden

Additional information

Course Delivery

Online

Course Efforts

17 hours

Course Enrollment

Free

Course Language

English

Course Length

4 Weeks

Course Level

Intermediate

Course Provider

Course School

Course Subtitles

English, French, Portuguese, Russian, Spanish

Flexible Learning

Yes

Verified Certificate

Paid

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