DA
26 de jan de 2016
The course provides a high-level introduction to approximation algorithm. There is no programming assignments but it provides nice introduction to approximation algorithm.
MH
28 de mai de 2020
A great course if you want to learn about approximation algorithms from the point of view of linear programming relaxation!
por Polamarasetty V V n
•5 de nov de 2021
NO
por Sreeja P
•30 de out de 2021
NA
por Thatavarthi S H
•27 de out de 2021
nn
por Shayan m
•20 de out de 2021
hh
por Boggarapu Y
•21 de out de 2021
5
por Claus D M P
•4 de ago de 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
•21 de jul de 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
•21 de out de 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
•21 de fev de 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
•19 de jan de 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
•1 de jun de 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
•7 de ago de 2016
Very interesting, explanations are clear and easy to understand
por maturi p
•30 de set de 2021
it is a very good course
por sai v k
•25 de out de 2021
Good for learning
por Janardhan G
•29 de out de 2021
good to learn.
por KATARU S S
•5 de nov de 2022
GOOD COURSE
por ALAPATI N V S
•30 de set de 2021
very good
por Kilari H C
•23 de fev de 2022
good
por KATURI B
•28 de out de 2021
good
por SRAVYA C V
•9 de out de 2021
Good
por Shaik N K
•30 de set de 2021
GOOD
por PAIDIPATI H V
•3 de set de 2022
ok
por Somanth R
•21 de out de 2021
NA
por Achyutha P
•28 de set de 2022
good
por Susanne W
•9 de jan de 2017
-