Acerca de este Curso
4.8
144 calificaciones
32 revisiones
100 % en línea

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Nivel intermedio

Nivel intermedio

Horas para completar

Aprox. 18 horas para completar

Sugerido: 4 weeks of study, 6-12 hours/week...
Idiomas disponibles

Inglés (English)

Subtítulos: Inglés (English)...

Habilidades que obtendrás

Constraint ProgrammingProblem SolvingMathematical ModelDiscrete Optimization
100 % en línea

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Nivel intermedio

Nivel intermedio

Horas para completar

Aprox. 18 horas para completar

Sugerido: 4 weeks of study, 6-12 hours/week...
Idiomas disponibles

Inglés (English)

Subtítulos: Inglés (English)...

Programa - Qué aprenderás en este curso

Semana
1
Horas para completar
7 horas para completar

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. ...
Reading
20 videos (Total: 219 min), 6 readings, 1 quiz
Video20 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
Reading6 lecturas
Course Overview10m
Start of Course Survey12m
Getting MiniZinc10m
Workshop 0: First Steps20m
Workshop 1: Temperature45m
About the Reference Material2m
Semana
2
Horas para completar
5 horas para completar

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....
Reading
6 videos (Total: 64 min), 1 reading, 1 quiz
Video6 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
Reading1 lectura
Workshop 2: Surrender Negotiations15m
Semana
3
Horas para completar
8 horas para completar

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....
Reading
7 videos (Total: 86 min), 1 reading, 1 quiz
Video7 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
Reading1 lectura
Workshop 3: Feast Trap50m
Semana
4
Horas para completar
7 horas para completar

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. ...
Reading
6 videos (Total: 67 min), 2 readings, 1 quiz
Video6 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
Reading2 lecturas
Workshop 4: Composition5m
End of Course Survey10m
4.8

Principales revisiones

por PCJan 14th 2018

Great course to learn modeling discrete optimization problems. Excellent pedagogy and amusing problems to model using MiniZinc.

por KPOct 4th 2017

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

Instructores

Avatar

Prof. Peter James Stuckey

Professor
Computing and Information Systems
Avatar

Prof. Jimmy Ho Man Lee

Professor
Department of Computer Science and Engineering

Acerca de 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....

Acerca de 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....

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando compras un Certificado, obtienes acceso a todos los materiales del curso, incluidas las tareas calificadas. Una vez que completes el curso, se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes participar del curso como oyente sin costo.

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