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Algorithms, Part II

Princeton University via Coursera

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  • Provider Coursera
  • Subject Algorithms and Data Structures
  • $ Cost Free Online Course (Audit)
  • Session Upcoming
  • Language English
  • Effort 6-12 hours a week
  • Start Date
  • Duration 6 weeks long

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Overview

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This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.

Taught by

Robert Sedgewick and Kevin Wayne

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Reviews for Coursera's Algorithms, Part II
4.8 Based on 21 reviews

  • 5 stars 81%
  • 4 stars 14%
  • 3 star 5%
  • 2 star 0%
  • 1 star 0%

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  • 1
Wei E
4.0 4 years ago
Wei partially completed this course, spending 4 hours a week on it and found the course difficulty to be medium.
Professor Sedgewick's explanation of algorithms and his use of visuals were excellent and instrumental in helping me to understand the content.

For this course, I only watched the videos, so I cannot give any feedback on the exercises programming assignments. As far as I know from my experience in Algorithms I, which I nearly fully completed, the exercises tend to have a few challenging questions but a couple of questions which force you to simulate a computer and run the algorithms. Personally, I dislike these type of questions. On the other hand, the programming assignments are fun and force students to think out of the box. Also, the grading system is very detailed and gives a lot of useful feedback.

In general, this course is an great fit for anyone who wishes to learn more about algorithms; however, I would suggest taking Algorithms, Part I before taking this course.
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Wickwack W
5.0 4 years ago
Wickwack completed this course, spending 5 hours a week on it and found the course difficulty to be medium.
This class (and part 1) are the best courses I've ever done online. The lectures are clear, concise, and interesting. The assignments are fascinating, touching on a whole range of topics (data compression, scientific computing, etc) while allowing us to use and adapt the algorithms discussed in lecture. That's probably my favorite point: rather than have us blindly implement an algorithm described in lecture, the assignments invite us to adapt and use the algorithm in a real application.

Another point: the course involves automated grading/feedback on the programming assignments. This feedback is incredibly detailed, giving information about error checking, performance testing, and even good coding style. As a new developer, I found this immensely helpful.

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Charles S
5.0 2 years ago
by Charles completed this course.
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Rey C
4.0 3 years ago
by Rey completed this course and found the course difficulty to be hard.
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Marat M
5.0 3 years ago
by Marat partially completed this course, spending 6 hours a week on it and found the course difficulty to be medium.
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Mohammed E
3.0 2 years ago
by Mohammed completed this course.
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Alexander P
5.0 a year ago
by Alexander partially completed this course.
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Darren V
5.0 2 years ago
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5.0 2 years ago
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Mauro L
5.0 3 years ago
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Tobal T
5.0 4 years ago
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Maresu R
5.0 3 years ago
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5.0 3 years ago
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Gregory D
5.0 3 years ago
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Juliano I
5.0 2 years ago
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Joseph R
4.0 2 years ago
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  • 1

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