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.
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Advanced Modeling for Discrete Optimization
The University of MelbourneÜber diesen Kurs
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Lehrplan - Was Sie in diesem Kurs lernen werden
Debugging and Improving Models
Predicates
Scheduling
Packing
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Top-Bewertungen von ADVANCED MODELING FOR DISCRETE OPTIMIZATION
Excellent course overall with difficult assignments.
Learned heaps thanks
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.
very rewarding and challenging assignments, thank you for this great course!
Great course! Engaging content and not-so-easy assignments to make you understand the subject better. Thanks Prof. Stuckey and Prof. Lee for making this course available on Coursera!
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