Introduction to Discrete Optimization Modeling Basics
Unlock the Power of Discrete Optimization: Master Modeling Techniques with The University of Melbourne!
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147 learners
What you'll learn
Understand the fundamentals of creating basic models for discrete optimization.
Apply first-step modeling techniques to solve discrete optimization problems.
Design and implement second and third models to enhance discrete problem-solving skills.
Utilize arrays and comprehensions to construct efficient discrete optimization models.
This course includes
1.3 hours of video
Certificate of completion
Access on mobile and TV
Course content
1 modules
• 9 lessons
• 1.3 hours of video
Introduction to Discrete Optimization Modeling Basics
9 lessons
• 1.3 hours
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Basic Modeling for Discrete Optimization - Welcome to Basic Modeling by The University of Melbourne02:50
Basic Modeling for Discrete Optimization - First Steps by The University of Melbourne #114:05
Basic Modeling for Discrete Optimization - Second Model by The University of Melbourne #207:52
Basic Modeling for Discrete Optimization - Third Model by The University of Melbourne #306:54
Basic Modeling for Discrete Optimization - Models and Instances by The University of Melbourne #410:49
Basic Modeling for Discrete Optimization - Modeling Objects by The University of Melbourne #508:32
Basic Modeling for Discrete Optimization - Arrays and Comprehensions by University of Melbourne #616:32
Basic Modeling for Discrete Optimization - Global Constraints by The University of Melbourne #709:12
Basic Modeling for Discrete Optimization - Module 1 Summary by The University of Melbourne #805:48
