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Basic Modeling for Discrete Optimization

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

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Rating 4.7 based on 53 ratings
Length 5 weeks
Effort 4 weeks of study, 6-12 hours/week
Starts Jun 26 (44 weeks ago)
Cost $49
From The University of Melbourne, The Chinese University of Hong Kong via Coursera
Instructors Prof. Peter James Stuckey, Jimmy Ho Man Lee, Prof. Jimmy Ho Man Lee
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Mathematics
Tags Computer Science Software Development Math And Logic

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What people are saying

recommend this course

If you want to learn programming with constraints definitely I recommend this course.

I recommend this course for any one starts constraint programming.

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excellent course

excellent course!

Excellent course.

the only problem is it forces you to work with minizinc and may consume extra time than expected An excellent course, very well explained and a nice touch with the story and animations.

Excellent course !

This course is very useful for learning basic CSP Modelling with Minizinc 上手有点难h Excellent course!

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constraint programming

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.

Got some hand-on experience with constraint programming.

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optimization problems

Great course to learn modeling discrete optimization problems.

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

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discrete optimization

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

A creative way of teaching discrete optimization.

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programming assignments

Challenging programming assignments and helpful workshops.

Great programming assignments using Minizinc The stories and examples used in the course are great and creative.

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Rating 4.7 based on 53 ratings
Length 5 weeks
Effort 4 weeks of study, 6-12 hours/week
Starts Jun 26 (44 weeks ago)
Cost $49
From The University of Melbourne, The Chinese University of Hong Kong via Coursera
Instructors Prof. Peter James Stuckey, Jimmy Ho Man Lee, Prof. Jimmy Ho Man Lee
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Mathematics
Tags Computer Science Software Development Math And Logic

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