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Avis et commentaires pour d'étudiants pour Optimisation discrète par Université de Melbourne

4.9
étoiles
415 évaluations
91 avis

À propos du cours

Tired of solving Sudokus by hand? This class teaches you how to solve complex search problems with discrete optimization concepts and algorithms, including constraint programming, local search, and mixed-integer programming. Optimization technology is ubiquitous in our society. It schedules planes and their crews, coordinates the production of steel, and organizes the transportation of iron ore from the mines to the ports. Optimization clears the day-ahead and real-time markets to deliver electricity to millions of people. It organizes kidney exchanges and cancer treatments and helps scientists understand the fundamental fabric of life, control complex chemical reactions, and design drugs that may benefit billions of individuals. This class is an introduction to discrete optimization and exposes students to some of the most fundamental concepts and algorithms in the field. It covers constraint programming, local search, and mixed-integer programming from their foundations to their applications for complex practical problems in areas such as scheduling, vehicle routing, supply-chain optimization, and resource allocation....

Meilleurs avis

SK

May 30, 2019

Exceptional coverage of optimization fundamentals. Learning of practical applied methods. Real university level course, no water down "data science". Absolutely love it! Thank you professor Pascal.

GD

May 02, 2019

I just completed the course. This an amazing course with an Outstanding professor and highly interesting, although difficult, assignments. Thanks for this! I am proud to have finished

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76 - 88 sur 88 Avis pour Optimisation discrète

par Xushegndong

Apr 18, 2018

I love this course!

par Roberto P G J

Jul 29, 2017

Very good course.

par Serhat G

Jan 23, 2020

Extraordinary...

par Marcin K

Oct 09, 2017

superb !!!!!!!

par Yury G

Apr 30, 2017

Wonderful!

par Stefano M

Feb 12, 2020

The quality of the lectures, as well as of the teaching material (slides, exercises, etc.), is just excellent. Thanks a lot to the instructors for putting so much effort in preparing it! Although having worked with optimization for a few years, I could learn a lot from this course. For someone aiming at learning optimization, there are not many well-structured courses/resources available; and this is surely one of the best resources I have found in years.

The course is difficult - much more difficult than other data science courses on Coursera - and thus requires many hours, good programming skills, and some dedication. But for me it was surely worth it!

My only remark/negative feedback is the lack of guidance - especially at the very beginning - on what external resources students are supposed to use for the assignments. I understand that this is in part intentional in order to make the course more challenging; however, compared to other courses I took, I feel that here the guidance is sometimes excessively little, and it is quite easy to get stuck on a given exercise. I honestly felt a bit lost at the beginning, and doubted whether it made sense to continue the course. Also, having access or not to licences of professional tools can make a significant difference in the level of difficulty of the assignments (implementing from scratch some solvers is, in some cases, a rather difficult task, which also requires quite advanced programming skills). I really think that providing more guidance/instructions on this would be of very high benefit here. There is actually a video which partly addresses this point, but it is only at the end of Week 3 (I guess many people abandon before having seen it - I recommend students to watch it at the very beginning).

Also, possibly related to this, my feeling is that currently the course is far less active than in the last years; the forums are not very active, and very seldom instructors/tutors intervene in the discussion.

par Yury K

Nov 12, 2019

Pascal is highly engaging lecturer. The course is superb, but is indeed advanced. Not very suitable as an intro to a topic (the way I tried to use it). Scraped through though, and rather proud of it :-)

par Baltasar B R

Jan 25, 2017

I've enjoyed a lot this challenging course. To get a 10 in all the assignments is very hard. But 7 is achievable.

par Juan L R A

Aug 21, 2017

Challenging. I have missed some more explanation about algorithms....

par Ian B

Mar 11, 2020

Great course, but a heavy workload.

par Sreepathy R N

Mar 13, 2020

excellent assignments

par Yifan D

Feb 05, 2019

Difficult!

par Glenn

Mar 02, 2020

While I appreciate the instructors knowledge and enthusiasm, there's far too much hand waving and not enough math or code to make any sense of the subject. Overall, this course is worthless.