Chevron Left
Retour à Optimisation discrète

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

4.9
337 notes
74 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.

AM

Feb 06, 2017

I like the instructor teaching approach and the evaluation system, the subject itself took me a lot of effort and i think the LNS technique should be teached just after local search.

Filtrer par :

51 - 70 sur 70 Examens pour Optimisation discrète

par Slav K

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.

par Masood J K

Jun 21, 2019

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.

par Paulo V S R D

Jul 18, 2019

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

par 刘宇轩

May 19, 2019

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

par Aditya D

Jun 06, 2019

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.

par MANJUNATHA

Aug 10, 2019

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

par hope

Aug 26, 2019

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.

par Akash S

Jul 02, 2019

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 ....

par Mr. J

Jul 03, 2019

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.

par Shihan, Z

Jul 05, 2019

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.

par Gauthier B

Jul 13, 2019

Really interesting course!! Thank you to professors

par Kha T

Jul 13, 2019

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

par Rajdeep D

Jul 13, 2019

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

par Manuel A

Sep 08, 2019

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.

par André L d A R

Sep 20, 2019

Extremely interesting, hard, entertaining and applicable course.

par Edmund L

Sep 28, 2019

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.

par Rodrigo M T

Oct 12, 2019

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

par Juan L R A

Aug 21, 2017

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

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 Yifan D

Feb 05, 2019

Difficult!