Approximation Algorithms Part II

It is remarkable to note that Professor Claire Mathieu explains such a complex subject in such a elegant and understandable manner.

Either there are serious limitations with this iteration of the Coursera platform or the course authors did not understand how to properly implement this.Finally, in the session I took their was no active Teaching Assistance presence.

Fortunately this class is very easy to understand useful techniques such as primal-dual linear programming and SDP.

The only solution was to put the answers in a document on a cloud drive like Google Drive and paste a link in.

This course covers challenging technical topics and I appreciate that the effort that went into making it.

Very good classes (except for the two first of week 3 ...) Learning Approximation algorithm by self is really hard.

I would prefergive money to this top institution in theorical science than to the huge private universitiesTo improve : the commitment of the staff to the forum Excellente course, thank you for the excellent techniques and approach that often lacks in courses on the subject.I would have loved a validation at least.I'd be very happy to attend another of your class should you make a part 3 or another lecture.

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 !

Including one sequence where each quiz extended the previous one but if you there was no way to learn from your errors, especially an error in the first quiz.

Even better than the first!

Worse, the answers often required equations and LaTex math was not available.