Avis et commentaires pour l'étudiant pour Optimisation discrète par Université de Melbourne

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.

Great lectures and helpful homework. The assignments were really hard but it was worth it. I learned a lot from them. The only thing I can put a comment on is that the Brach and Bound method was not taught clearly.

This course is HARD... but very rewarding. You should have some nice familiarity with programming before taking it.

This hard course really deserves 5.0. The Prof. is great and also the assignment is challenging. Love it.

Excellent course! The course video are very clear and build on each other as the course progress. It is well structured. The assignments have the right amount of difficulty.

Very good course for operation research aspirants. Assignments are very good to understand the problems and the complexity of the problems.Thanks to the team

The best course on Coursera. Unlike the do-it-by-rote Deep Learning classes, there is much creativity and freedom in tackling all assignments. The assignments are stimulating, challenging, and approximate real life problem solving very well.

I am sure this is the best course out there to help students/Professionals to understand the complexity of the optimization problems specially designed and explained by Professor Pascal Van Hentenryck in his own hilarious style . The assignments are really challenging and make you up to try different strategies. Most of the times the classical approaches like Mixed Integer programming and Constraint Programming fail to provide solution in a reasonable time.But that's when you become of intuitive developing your own ideas/ heuristics.This course covers a lot of optimization concepts like dynamic programming, Constraint Programming ,Mixed Integer programming and Local search.

Waiting for the next one!.. Till then keep optimizing ....

Brilliant examination of the basic central aspect of discrete Optimization

I found the projects to be enjoyable and challenging

I elected to not use libraries to make my solutions.

Working the projects improved my Python.

I appreciate the enthusiasm from the professor's teaching. Also the quality of the homework is very high, which help me deeply understand the concept about optimization methods. I highly recommend this course to all the people who desire the basic knowledge about NP-hard problem, and optimization thought.

Really interesting course!! Thank you to professors

Awesome but challenging course. Feeling sweet after hard-working days.

Awesome Teacher.I'm just amazed .Than you sir for our great effort.

A very comprehensive and challening course on optimization. Algorithms are explained at a high level and is up to the student to implement them (on any language, but Python is sugested). Canonical problems in optimization are tackled, such as TSP, VRP and facility location. As a Data Scientist with no Computer Science background, implementing those algorithms to pass assignmets have been very challenging. Industrial solvers like ortools, gurobi, etc. can be used, but they are not covered.

Extremely interesting, hard, entertaining and applicable course.

Difficult course, but rewarding once you have completed the assignments. This course presents a variety of discrete optimization problems to be solved. Great course overall, although I wish the course is structured such that we don't need to read research papers to complete the assignments.

Ótimo curso, descontraído e projetado para facilitar. Material relevante que serve como introdução a mais estudos.

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

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

Difficult!