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
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Offered By
Algorithms SpecializationStanford UniversityAbout this Course
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Flexible deadlines
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Shareable Certificate
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Course 1 of 4 in the
Intermediate Level
Approx. 17 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Skills you will gain
- Algorithms
- Randomized Algorithm
- Sorting Algorithm
- Divide And Conquer Algorithms
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 1 of 4 in the
Intermediate Level
Approx. 17 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Offered by
Stanford University
The Leland Stanford Junior University, commonly referred to as Stanford University or Stanford, is an American private research university located in Stanford, California on an 8,180-acre (3,310 ha) campus near Palo Alto, California, United States.
Syllabus - What you will learn from this course
4 hours to complete
Week 1
Introduction; "big-oh" notation and asymptotic analysis.
4 hours to complete
13 videos (Total 130 min), 3 readings, 2 quizzes
4 hours to complete
Week 2
Divide-and-conquer basics; the master method for analyzing divide and conquer algorithms.
4 hours to complete
11 videos (Total 170 min), 2 readings, 2 quizzes
4 hours to complete
Week 3
The QuickSort algorithm and its analysis; probability review.
4 hours to complete
9 videos (Total 156 min), 1 reading, 2 quizzes
5 hours to complete
Week 4
5 hours to complete
11 videos (Total 184 min), 3 readings, 3 quizzes
Reviews
- 5 stars83.13%
- 4 stars13.62%
- 3 stars1.82%
- 2 stars0.54%
- 1 star0.87%
TOP REVIEWS FROM DIVIDE AND CONQUER, SORTING AND SEARCHING, AND RANDOMIZED ALGORITHMS
by JBJun 15, 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.
by TDMay 14, 2020
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!
by IIAug 31, 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.
by RRJan 28, 2018
This was going to be a review of material for me, just a refresher. But instead I was exposed to a lot of new concepts and really feel like I got some good experience from it.
About the Algorithms Specialization
Algorithms are the heart of computer science, and the subject has countless practical applications as well as intellectual depth. This specialization is an introduction to algorithms for learners with at least a little programming experience. The specialization is rigorous but emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details. After completing this specialization, you will be well-positioned to ace your technical interviews and speak fluently about algorithms with other programmers and computer scientists.
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