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.
Jun 27, 2016
This was a relatively easy but well paced introduction to approximation algorithms. I totally enjoyed it.
By Anupam Gupta•
Oct 19, 2017
I am a researcher and (in past) an instructor in SDP, Randomized and Approximation Algorithms.
There are a few instances, where things are not explained as well as an advanced UG or a starting Grad student would like, e.g., Knapsack got a bit delirious somewhere in between (the "special special" case, which IMHO was not needed.)
Otherwise, I love Claire's enthusiasm, and the joy she finds in delivering the ideas. She is succinct everywhere (to me).
By Roberto Pereira Garcia Junior•
Sep 21, 2017
Very good !
By Zitong Wang•
Sep 17, 2017
This course is awesome. Prof. managed to elaborate the problem and analysis clearly and homework is properly assigned.
By Antonio Cruciani•
Jul 27, 2017
Really good course and Professor.
By victor guillot•
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
By Peter Unold•
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.
By Pasquale De Meo•
May 30, 2017
By Paulo Emílio de Vilhena•
Feb 13, 2017
Jan 11, 2017
This class is very clear and easy to understand! Thank you for providing such feast for students!
By Susanne Wienand•
Jan 09, 2017