About this course: 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. This course is intended for students who have completed Basic Modelling for Discrete Optimization. In this course you will learn much more about solving challenging discrete optimization problems by stating the problem in a state-of-the-art high level modeling language, and letting library constraint solving software do the rest. This course will focus on debugging and improving models, encapsulating parts of models in predicates, and tackling advanced scheduling and packing problems. As you master this advanced technology, you will be able to tackle problems that were inconceivable to solve previously. Watch the course promotional video here: https://www.youtube.com/watch?v=hc3cBvtrem0&t=8s
Who is this class for: The course is for penultimate/final year undergraduates and graduates in computing and related disciplines. You will need to have basic computer programming skills, and knowledge of fundamental algorithms, discrete mathematics, logic and linear algebra in order to take this course. Please note, this course is also available wholly in Chinese, see: https://www.coursera.org/learn/lisan-youhua-jianmo-gaojiepian
Taught by: Prof. Jimmy Ho Man Lee, Professor
Department of Computer Science and Engineering
Taught by: Prof. Peter James Stuckey, Professor
Computing and Information Systems
| Level | Intermediate |
| Commitment | 5 weeks of study, 6-12 hours/week |
| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
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Looking forward to course 3!
Excellent course with very supportive staff and professors on the forum. On top of that aligning the assignments to "The Romance of Three Kingdoms" story makes it fun to follow along.
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Advanced Modeling for Discrete Optimization is an Excellent course, very challenging and satisfying at the same time; I will highly recommend this course to anyone that is serious about Discrete Optimization.
I will also to extend my thanks to Prof. Jimmy Ho-Man Lee and Prof. Peter James Stuckey for putting together this astounding course and the staff that work in this exceptional narrative to explain the concepts.
Thanks.