About this Course
4.8
164 ratings
38 reviews

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

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Intermediate Level

Approx. 18 hours to complete

Suggested: 4 weeks of study, 6-12 hours/week...

English

Subtitles: English

Skills you will gain

Constraint ProgrammingProblem SolvingMathematical ModelDiscrete Optimization

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 18 hours to complete

Suggested: 4 weeks of study, 6-12 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
7 hours to complete

MiniZinc introduction

In this first module, you will learn the basics of MiniZinc, a high-level modeling language for discrete optimization problems. Combining the simplicity of MiniZinc with the power of open-source industrial solving technologies, you will learn how to solve applications such as knapsack problems, graph coloring, production planning and tricky Cryptarithm puzzles, with great ease. ...
20 videos (Total 219 min), 6 readings, 1 quiz
20 videos
1.1.1 First Steps14m
1.1.2 Second Model7m
1.1.3 Third Model6m
1.1.4 Models and Instances10m
1.1.5 Modeling Objects8m
1.1.6 Arrays and Comprehensions16m
1.1.7 Global Constraints9m
1.1.8 Module 1 Summary5m
Workshop 0 Solution19m
Workshop 1 Solution21m
Assignment Submission - IDE7m
Assignment Submission - CLI4m
Reference 1: Basic Features13m
Reference 2: Booleans Expressions13m
Reference 3: Sets, Arrays, Comprehensions19m
Reference 4: Enumerated Types7m
Reference 5: Strings and Output8m
Reference 6: Option Types12m
Reference 7: Command Line Interface8m
6 readings
Course Overview10m
Start of Course Survey12m
Getting MiniZinc10m
Workshop 0: First Steps20m
Workshop 1: Temperature45m
About the Reference Material2m
Week
2
5 hours to complete

Modeling with Sets

In this module, you will learn how to model problems involving set selection. In particular, you will see different ways of representing set variables when the variable has no constraints on its cardinality, has fixed cardinality and bounded cardinality. You also have to ensure all model decisions are valid decisions, and each valid decision corresponds to exactly one model decision....
6 videos (Total 64 min), 1 reading, 1 quiz
6 videos
1.2.2 Choosing a Set Representation7m
1.2.3 Choosing a Fixed Cardinality Set10m
1.2.4 Sets with Bounded Cardinality13m
1.2.5 Module 2 Summary3m
Workshop 2 Solution19m
1 reading
Workshop 2: Surrender Negotiations15m
Week
3
8 hours to complete

Modeling with Functions

In this module, you will learn how to model pure assignment problems and partition problems, which are functions in disguise. These problems find applications in rostering and constrained clustering. In terms of modeling techniques, you will see the power of common subexpression elimination and intermediate variables, and encounter the global cardinality constraint for the first time. MiniZinc also provides constraints for removing value symmetries....
7 videos (Total 86 min), 1 reading, 1 quiz
7 videos
1.3.2 Another Assignment Problem Example8m
1.3.3 Modeling Partitions10m
1.3.4 Global Cardinality Constraint9m
1.3.5 Pure Partitioning14m
1.3.6 Module 3 Summary5m
Workshop 3 Solution28m
1 reading
Workshop 3: Feast Trap50m
Week
4
7 hours to complete

Multiple Modeling

In the final module of this course you will see how discrete optimization problems can often be seen from multiple viewpoints, and modeled completely differently from each viewpoint. Each viewpoint may have strengths and weaknesses, and indeed the different models can be combined to help each other. ...
6 videos (Total 67 min), 2 readings, 1 quiz
6 videos
1.4.2 Permutation13m
1.4.3 More Permutation Problem8m
1.4.4 More Multiple Models12m
1.4.5 Module 4 Summary7m
Workshop 4 Solution13m
2 readings
Workshop 4: Composition5m
End of Course Survey10m
4.8
38 ReviewsChevron Right

Top Reviews

By KPOct 4th 2017

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

By KWMay 8th 2017

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

Instructors

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Prof. Peter James Stuckey

Professor
Computing and Information Systems
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Prof. Jimmy Ho Man Lee

Professor
Department of Computer Science and Engineering

About The University of Melbourne

The University of Melbourne is an internationally recognised research intensive University with a strong tradition of excellence in teaching, research, and community engagement. Established in 1853, it is Australia's second oldest University....

About The Chinese University of Hong Kong

Founded in 1963, The Chinese University of Hong Kong (CUHK) is a forward looking comprehensive research university with a global vision and a mission to combine tradition with modernity, and to bring together China and the West. CUHK teachers and students hail from all corners of the world. CUHK graduates are connected worldwide through an expansive alumni network....

Frequently Asked Questions

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  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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