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Voltar para Basic Modeling for Discrete Optimization

Comentários e feedback de alunos de Basic Modeling for Discrete Optimization da instituição Universidade de Melbourne

370 classificações
97 avaliações

Sobre o curso

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:

Melhores avaliações

7 de Nov de 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.

21 de Dez de 2020

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

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1 — 25 de 92 Avaliações para o Basic Modeling for Discrete Optimization

por Pablo H

7 de Ago de 2019

This is an amazing introductory course to discrete optimization. All the learning materials are very high quality, and teachers are awesome. All concepts are introduced with very practical examples, and the assignments are incrementally difficult. You will learn MiniZinc that it is a declarative programming for discrete optimisation.

It is really enjoyable thanks to the background story. I love workshop videos where teachers solved a problem similar to the assignment before you tried. Definitely, I would recommend this course to anyone who wants to introduce in this area.

por Boris O

27 de Jul de 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!

por AN N

14 de Abr de 2017

Excellent content. The instructors are very thorough in their explainations. The only fault I see is that there isn't many students doing the course, and such it is hard to get help, especially if your schedule is tight and you can only do online courses on Saturday and Sunday. Looking forward to taking the Advance course though.

por Kota M

14 de Jan de 2019

Very unique and interesting course. Taught well and easy to understand step by step.

I wish the class covers more "real-world" like assignments. All examples and problem sets are described in terms of Chinese history. It was difficult to imagine what I can do with these techniques.

por Jens K

19 de Nov de 2021

I'm happy to rate this course 5 stars. It's challenging, and designed learner-friendly: The abstract concept of constraint optimization is framed by a story that provides real-world context, helping memorization when taking in the problem. The workshops are exhaustive, and the assignments are staggered to lead the learner towards trying again, increasing the score with increasing difficulty. MiniZinc is a good learning platform, regardless of whether or not you'll be actually using it. Out of the 20 or so data science courses I've taken on Coursera over the years, this one ranks top.

por Bijoy T

30 de Mar de 2020

This course is an excellent choice for anyone who is either new or partly familiar with optimization problems. The breadth of problems covered in the course is really helpful in understanding some of the structures behind many optimization problems - assignment, matching, sequencing etc. The style of the course is very engaging as well. Using analogies from a story instead of the usual production planning/ blending/factory materials examples etc makes each problem understandable. I'm so glad I signed up for this course and look forward to the next in this series!

por Reinhard

17 de Jun de 2020

Very interesting course. The lecturers and their staff did a great job.

Despite its name and description the course can actually be seen as a tutorial to the minizinc language. For me this is exactly what I wanted. I expected to gain more familiarity with minizinc and to learn some guiding principles to design a "good" model. My expectations have been satisfied.

In my opinion the lack of "real world problems" is no disadvantage. The background story generated enough (not unnecessarily huge) problems for learning the important concepts.

por Clyde W

7 de Mar de 2020

Challenging optimization puzzle with interesting background story setting. This course provides us some basic knowledge about discrete optimization and the usage of MiniZinc Modeling Language. However mentors focus too much on the modeling process, the program sometimes has a different behavior from our expect. How to locate the potential bug and to fix them, I though, is also important to us. Overall, this is really a good course, suitable for the one without much background knowledge. Recommend!

por Nikola K

14 de Abr de 2020

It's was a challenging course for me, but I enjoyed it very much! The format with an interesting story, a lecture with a solution and the workshop at the end of every week are quite informative. I had trouble interpreting the assignment text of the third week, but after getting some tips from the instructors, I managed to pass it. I am looking forward to applying the knowledge in the real world and will follow the advance course next. Thank you!

por Jaye H

6 de Jan de 2019

This course was amazing! Far more interesting, entertaining, and educational than I was expecting to find. There's a trailer for this course, which indicates how well-produced it is and how much effort has been put in to make this more than just dry lecture material. The course-creators have done an amazing job with this one; if you are a beginner with any interest in optimization or constraint programming then this is the course for you.

por Carlos V

12 de Fev de 2017

"Basic Modeling for Discrete Optimiation" is an excellent course for anyone interested in optimization models, improving their problem-solving skills and have a nice challenge.

The explanations and examples are fantastic and all these complemented with the utilization of MiniZinc, which make the course so much natural in comparison to other optimization tools.

Highly Recommended 5/5.

por Phillip M

28 de Dez de 2020

I am very thankful for every one making an effort to provide such great content to us learners. I had no clue about operations research and slowly I am getting ideas how to improve my professional life und bring data to use I never about before.

Take care dear Liu Bei Team. I am already hyped for the next course!

por Alexander P

6 de Jan de 2020

Very good introduction into combinatorial optimization problems and constraint programming. This course does not teach how to develop algorithms. Instead, you learn how to formally describe the problem using a declarative language and apply a solver to obtain a solution.

por Arnaud L R

4 de Dez de 2018

This course is very well done. The story gives a fun context to the exercices. The exercices allows one to really start to understand how important modeling is and how to do it, they are so well calibrated that I wonder if they were generated by a solver :-)

por Infant J E

13 de Ago de 2020

very very good. for someone used to traditional way of solving problems using programming languages, this was an eye opener. I am very much interested in learning more about optimisation problems. I hope there are more courses coming in this field.

por Stefano N

11 de Mar de 2017

Excellent course. The high level modeling language that is presented is very powerful and relatively simple to use. Maybe a couple of more lecture specifically dedicated to the modeling languange itself would allow easier kick-in to the course.

por Jose M

2 de Mai de 2020

This is a great course. Pair programming by the instructors at the end of each week to solve problems is a very helpful way to learn. I really enjoyed the fabled-based learning. I'm definitely enrolling into the advanced course!

por Jason H

10 de Mai de 2019

An excellent course, very well explained and a nice touch with the story and animations. The workshops and assignments were fun and challengining. It was amazing to see the difference in efficiency given by different approaches.

por Thiago O P

21 de Jan de 2017

Amazing course, amazing material and amazing lessons. For everyone interested in Discrete Optimization MiniZinc is a must know technology and this course does an amazing introduction with lots of different applications.

por Jan W L

10 de Jul de 2020

This course leads you through optimization challenges of increasing difficulty. It is very well thought out and the workshops and presentations are very good. Assistance via the forum is prompt and of high quality.

por Tomas R L

19 de Out de 2021

Really nice course, last assignments are really challenging and they can even be a little frustrating. I think there are some holes and some information missing, but overall it was really fun and interesting

por Gabriel D d A

24 de Fev de 2019

Ótimo curso para introdução a otimização discreta, tive dificuldades nas tarefas, mas boa parte devido a minha falta de atenção. Diferente de outros corretores, o Feedback do MinZinc funcionou muita bem!

por Juan C G V

6 de Jan de 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.

por Tiago S

28 de Jun de 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!