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.
Advanced Modeling for Discrete OptimizationThe University of Melbourne
About this Course
Syllabus - What you will learn from this course
Debugging and Improving Models
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TOP REVIEWS FROM ADVANCED MODELING FOR DISCRETE OPTIMIZATION
Great course! Good presentation and lectures, challenging assignments. Learned a lot
Thank you so much! This course wasn't easy, but the material and assignments are very well thought out. Kept me motivated all the way through.
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.
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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