Jan 27, 2016
The course provides a high-level introduction to approximation algorithm. There is no programming assignments but it provides nice introduction to approximation algorithm.
May 29, 2020
A great course if you want to learn about approximation algorithms from the point of view of linear programming relaxation!
por Pasquale D M•
May 30, 2017
por Pierre-Cyrille H•
Jun 23, 2016
por Claus D M P•
Aug 04, 2016
Lectures and content were great. The theme of the course is to provide insight into the approaches used to investigate approximation algorithms for NP hard problems and the theoretical techniques used to assess the effectiveness of the approximation algorithm against the best answer. The production quality of the lecture videos and slides was high.
The content of the quizzes and assignments was mostly appropriate and well organized. However, the authors appeared to struggle with the platform. At times there were comments such as, you need to enter something in the box but it was not actually being used. Answers to the assignments required using substantial mathematical notation, but LaTex was not enabled in the discussion or text entry boxes (no longer available in the Coursera platform??) so the work around was to upload answers to a bunch of questions as a single PDF document. Flow of the individual modules (lectures, slides, quizzes) was inconsistent, varying from week to week.
por victor g•
Jul 21, 2017
A very synthetic course on the topic.Explanations are of great quality and elegant!
Every algorithms given are analysed on a mathematical point of view.
ENS should enable people to get certificate for this course ! I would prefer
give money to this top institution in theorical science than to the huge private universities
To improve : the commitment of the staff to the forum
por Abhijit O•
Oct 22, 2016
Content of the course is great. However , at time assignments are very difficult to understand. There are probably very few students who take this course at any time , so you dont get much help from forums. TA's and Professor as well have not responded to any of our questions. I dont expect any course to be cakewalk but at least some help need to be provided.
por Mingda Q•
Feb 21, 2016
Lectures are well-organized. Some assignments (e.g., Assignment 3, which involves merely understanding an algorithm, rather than proving correctness and approx. ratio) are extraordinarily stupid and somewhat tangential.
por Vivek A•
Jan 19, 2016
This course is quite advanced and the assignments require prerequisite skills to prove time complexity etc. If you are upto it, then for sure take this course. The instructor is quite thorough.
por Peter U•
Jun 01, 2017
The content of the course is good and the lectures even better. However the quizzes and homeworks could use an update or refresh. The forums connected to the course is a ghosttown.
por Philippe S•
Aug 07, 2016
Very interesting, explanations are clear and easy to understand
por Susanne W•
Jan 09, 2017
por Ricardo M C•
Jun 02, 2016
This course covers the basic ground about approximation algorithms and would be very valuable for a practitioner, but seems designed for people who already know the materials and is more theoretical than applied.
Lectures are very abstract --with a description of the problem and a formal description of the solution--, there are few examples with step-by-step tracing of algorithms --that is how the algorithm actually works to solve the problem--, and a significant amount of expertise is assumed --so much so, that you wouldn't need this course. For example, there are questions about "approximation ratio", but it is not explained. This seems like something that is inherent to approximation algorithms, but is only asked in the exams/project, and is not even mentioned in the lectures. Similar issues abound around the course.