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 interested in tackling all facets of optimization applications. You will learn an entirely new way to think about solving these challenging 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 will allow you to unlock the power of industrial solving technologies, which have been perfected over decades by hundreds of PhD researchers. With access to this advanced technology, problems that are considered inconceivable to solve before will suddenly become easy. 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 that this course is also available wholly in Chinese, see: https://www.coursera.org/learn/lisan-youhua-jianmo-jichupian
Taught by: Prof. Peter James Stuckey, Professor
Computing and Information Systems
Taught by: Prof. Jimmy Ho Man Lee, Professor
Department of Computer Science and Engineering
| Level | Intermediate |
| Commitment | 4 weeks of study, 6-12 hours/week |
| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
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Excellent content. The instructors are very thorough in their explainations. The only fault I see is that there isn't many students doing the course, and such it is hard to get help, especially if your schedule is tight and you can only do online courses on Saturday and Sunday. Looking forward to taking the Advance course though.
Excellent course. The high level modeling language that is presented is very powerful and relatively simple to use. Maybe a couple of more lecture specifically dedicated to the modeling languange itself would allow easier kick-in to the course.
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Very interesting, but I miss some theory explaining how the optimizations work behind.