Back to Discrete Optimization
Learner Reviews & Feedback for Discrete Optimization by The University of Melbourne
765 ratings
About the Course
Tired of solving Sudokus by hand? This class teaches you how to solve complex search problems with discrete optimization concepts and algorithms, including constraint programming, local search, and mixed-integer programming.
Optimization technology is ubiquitous in our society. It schedules planes and their crews, coordinates the production of steel, and organizes the transportation of iron ore from the mines to the ports. Optimization clears the day-ahead and real-time markets to deliver electricity to millions of people. It organizes kidney exchanges and cancer treatments and helps scientists understand the fundamental fabric of life, control complex chemical reactions, and design drugs that may benefit billions of individuals.
This class is an introduction to discrete optimization and exposes students to some of the most fundamental concepts and algorithms in the field. It covers constraint programming, local search, and mixed-integer programming from their foundations to their applications for complex practical problems in areas such as scheduling, vehicle routing, supply-chain optimization, and resource allocation.
Top reviews
SK
May 29, 2019
Exceptional coverage of optimization fundamentals. Learning of practical applied methods. Real university level course, no water down "data science". Absolutely love it! Thank you professor Pascal.
MG
May 6, 2024
To achieve success in this course, you will need college math up to and including Linear Algebra and 3 to 6 months of Python coding experience. This is nearly a graduate school level course.
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176 - 177 of 177 Reviews for Discrete Optimization
By Sreepathy R N
•Mar 13, 2020
excellent assignments
By Adrian R
•Apr 24, 2022
As much as I would like to learn this material, this presenter is exhausting to watch. A lot of important information is swamped by noise. Too much hand waiving and trying to make a show out of the course. A pity.