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Learner Reviews & Feedback for Basic Modeling for Discrete Optimization by The University of Melbourne

4.8
stars
451 ratings

About the Course

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 i...
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Top reviews

KG

Nov 7, 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.

BO

Jul 26, 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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101 - 108 of 108 Reviews for Basic Modeling for Discrete Optimization

By Bhavik J

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Jul 11, 2020

A classic combination of the story mode pitched in learning. I wish that the topics covered in the course were more elaborated.

By J.S. P

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Sep 6, 2020

Great course. Would absolutely recommend.

By Leo

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Jun 20, 2019

Novel, creative and interesting

By CHAABANE H e

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Sep 15, 2022

Very clear and usefull.

By Krunal P

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Jan 28, 2017

Good Assignments.

By Lucas P M

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Jan 7, 2022

The problem-based approach is very interesting and the course is very practical. However, it has no theoretical content, even superficial, to assess the best way to model. Some assignments have bugs or incomplete information that make it difficult to get good grades.

By Malik A

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Dec 28, 2022

terrible time with assignment upload

By Can K

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Feb 6, 2018

Should be called "Minizinc tutorial". The exercises are easy to pass, but the feedback on them are unhelpful, "You can have a better objective function" does not mean anything if you don't say which part of the model should the person improve.