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Volver a Basic Modeling for Discrete Optimization

Basic Modeling for Discrete Optimization, Universidad de Melbourne

4.8
163 calificaciones
38 revisiones

Acerca de este 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: https://www.youtube.com/watch?v=hc3cBvtrem0&t=8s...

Principales revisiones

por KP

Oct 04, 2017

very nice introduction to minizinc with great and easy assignments to get you started

por KW

May 08, 2017

A very interesting course! I learned a lot from this course. Thanks instructors!

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35 revisiones

por Cameron Dorrat

Mar 09, 2019

Great course, provided a nice introduction to discrete modelling

por Gabriel Domingos de Arruda

Feb 25, 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 Michael Meijer

Feb 24, 2019

Challenging programming assignments and helpful workshops. Good video material. Hoped to have some more real world examples, rather than just fable-based examples.

por Kota Mori

Jan 14, 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 Jaye Heffernan

Jan 06, 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 Arnaud Le Roy

Dec 04, 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 Mikhail Stepanov

Sep 22, 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.

por Julien Escribe

Aug 23, 2018

Excellent course ! Great programming assignments using Minizinc

por Kittiphon Phalakarn

Jun 25, 2018

The stories and examples used in the course are great and creative. I would like to thank both professors and all TAs for creating wonderful online course and for their hard work. However, some programming assignments are too tedious with too much constraints, like PA 3.

por Dharyll Prince Abellana

Jun 24, 2018

A creative way of teaching discrete optimization. Well appreciated.