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.
This is, without a doubt, one of the most interesting courses I have ever taken. You will be challenged to create your own ideas and you will get to know what NP hard means in practice.
par ANKUSH K•
This course is very good
par Shinny H•
Great course!! Love it!!
par Kamen P•
greatest course ever
I love this course!
par Roberto p g j•
Very good course.
par Анисимов М И•
Nice hats though
par Serhat G•
par Marcin K•
par Priidik V•
par Yury G•
par Bjarki Þ H•
par Stefano M•
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 Jabez T W•
The content was very useful and very well presented, but I thought I needed more help with the assignments. An indication of how long each program should run should also be made clear. My MIP programs took a few hours for each problem to solve.
par Yury K•
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•
I've enjoyed a lot this challenging course. To get a 10 in all the assignments is very hard. But 7 is achievable.
The content is exciting and the homework is equally challenging! Don't start if you are not ready.
par Juan L R A•
Challenging. I have missed some more explanation about algorithms....
par athanasio v•
great lesson should be a little bit more programming friendly
par Ian B•
Great course, but a heavy workload.
par Sreepathy R N•
par Yifan D•