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).
This course is part of the Algorithms Specialization
Offered By
About this Course
Skills you will gain
- Algorithms
- Randomized Algorithm
- Sorting Algorithm
- Divide And Conquer Algorithms
Offered by
Syllabus - What you will learn from this course
Week 1
Week 2
Week 3
Week 4
Reviews
- 5 stars83.05%
- 4 stars13.65%
- 3 stars1.83%
- 2 stars0.57%
- 1 star0.87%
TOP REVIEWS FROM DIVIDE AND CONQUER, SORTING AND SEARCHING, AND RANDOMIZED ALGORITHMS
This course was outstanding! Big thanks to Tim for explaining difficult concepts in a clear and concise fashion. I can't wait to get started on the next course in this specialization!
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.
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
very intansive ,it has really challenged my knowledge level both in english language or in computational mathematics,i feel too configent now.thank Stanford University,thanks Coursera
About the Algorithms Specialization

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