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Avis et commentaires pour d'étudiants pour Basic Modeling for Discrete Optimization par Université de Melbourne

395 évaluations

À propos du cours

Optimization is a common form of decision making, and is ubiquitous in our society. Its applications range from solving Sudoku puzzles to arranging seating in a wedding banquet. The same technology can schedule planes and their crews, coordinate the production of steel, and organize the transportation of iron ore from the mines to the ports. Good decisions in manpower and material resources management also allow corporations to improve profit by millions of dollars. Similar problems also underpin much of our daily lives and are part of determining daily delivery routes for packages, making school timetables, and delivering power to our homes. Despite their fundamental importance, all of these problems are a nightmare to solve using traditional undergraduate computer science methods. This course is intended for students interested in tackling all facets of optimization applications. You will learn an entirely new way to think about solving these challenging problems by stating the problem in a state-of-the-art high level modeling language, and letting library constraint solving software do the rest. This will allow you to unlock the power of industrial solving technologies, which have been perfected over decades by hundreds of PhD researchers. With access to this advanced technology, problems that are considered inconceivable to solve before will suddenly become easy. Watch the course promotional video here:

Meilleurs avis


7 nov. 2020

Excellent course! I learned a lot. Although the assignments were sometimes hard to fathom, and its online nature mean getting hints was difficult, there's enough there to help get through.


26 juil. 2019

Thank you so much for the course. I had to fight my coding habits, programming CP models is quite different from the traditional programming I'm, and it could even be more fun!

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26 - 50 sur 97 Avis pour Basic Modeling for Discrete Optimization

par Juan C G V

6 janv. 2018

Enjoyable and challenging. Great professors and TAs. Excellent introduction to modeling and declarative programming. If you want to learn programming with constraints definitely I recommend this course.

par Tiago S

28 juin 2020

It is a very practical way to start the learning in discrete optimization. I think this strategy more effective than the pure theoretical approach. I am so glad for having concluded this course!

par Karl G

7 nov. 2020

Excellent course! I learned a lot. Although the assignments were sometimes hard to fathom, and its online nature mean getting hints was difficult, there's enough there to help get through.

par Alexandre P

30 juil. 2017

Very interesting and neatly prepared course. It was very easy to dive in the course and to stay motivated. I would highly recommend their course for its amazing quality.

par Михаил С

22 sept. 2018

Great course, but huge gap in difficulty between weeks two and three, as it seemed to me. Knowledge given by course is applicable both for a work and a hobby for me.

par Adel F

22 déc. 2020

Excellent course, gives you a whole different contextualization of 'for loop' and formulation and solving a descrete optimization problem. Fun and challenging

par David T

11 juil. 2021

C​ompact introduction to the basics of specifying models in MiniZinc. Excellent starter kit, but you will fight a bit with the syntax of MiniZinc.

par Hala A

2 sept. 2019

I recommend this course for any one starts constraint programming. It is easy to understand but I think it is required logic background.

par Jaydeep M

29 juil. 2020

Great course for introduction to discrete optimization. Video lectures were engaging and the assignments were challenging but fun.

par Philippe C

14 janv. 2018

Great course to learn modeling discrete optimization problems. Excellent pedagogy and amusing problems to model using MiniZinc.

par Clot J

30 mai 2019

Good teachers. They go gradually from very easy to challenging concepts. Also a good intro to the main optimization problems.

par Nikolaj V C

18 mai 2020

This course is really great. You get to model a lot of different problems, which are both fun and challenging.

par David B

11 juin 2020

Very good assignements, it is a good introduction to CP, so i hope to continue to the next level soon.

par Olivier C

13 oct. 2020

Interesting course, constraint solving systems are way different from usual programming languages.

par Charles E T

8 juin 2019

Certainly more effort went into this course than I was expecting; well worth the $0 cost of entry.

par Filip S

15 oct. 2020

Teaches the basics of modelling really well. I'm looking forward to the follow-up course.

par Keane M

10 janv. 2021

Great introduction to modeling for discrete optimization. Very engaging and challenging.

par Tino W

26 nov. 2017

It's a fun course and can be applied on many optimization problems in the real world.

par Cyprien P

10 juin 2020

Awesome content and teachers, Minizinc is great to design contraints-based problems.

par Cristian R A

9 oct. 2019

This course is very useful for learning basic CSP Modelling with Minizinc

par Ferry d B

3 mars 2020

Great course, quality of the lectures and exercises was outstanding!

par Dharyll P A

24 juin 2018

A creative way of teaching discrete optimization. Well appreciated.

par Juan L R A

26 sept. 2017

A very good course. Thank you to the teachers and Staff in general.

par Duany D B S

29 mai 2017

It's a great course! Professors explain the content in a easy way!

par Cameron D

9 mars 2019

Great course, provided a nice introduction to discrete modelling