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.
Basic Modeling for Discrete Optimization
The University of Melbourne is an internationally recognised research intensive University with a strong tradition of excellence in teaching, research, and community engagement. Established in 1853, it is Australia's second oldest University.
Founded in 1963, The Chinese University of Hong Kong (CUHK) is a forward looking comprehensive research university with a global vision and a mission to combine tradition with modernity, and to bring together China and the West. CUHK teachers and students hail from all corners of the world. CUHK graduates are connected worldwide through an expansive alumni network.
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來自BASIC MODELING FOR DISCRETE OPTIMIZATION的熱門評論
Super interesting. Would be nice to have corrections of the assignment too but overall, super fun.\n\nThe pdf description are sometimes unclea (constraints are sometimes put in the data description.)
great course for beginners and those who are looking for applications of optimisation. the only problem is it forces you to work with minizinc and may consume extra time than expected
Thank you so much for the course. I had to fight my coding habits, programming CP models is quite different from the traditional programming I'm, and it could even be more fun!
Challenging programming assignments and helpful workshops. Good video material. Hoped to have some more real world examples, rather than just fable-based examples.
I recommend this course for any one starts constraint programming. It is easy to understand but I think it is required logic background.
Good teachers. They go gradually from very easy to challenging concepts. Also a good intro to the main optimization problems.
Wonderful course, very engaging and professionally made. A great course to begin programming in minizinc.
Certainly more effort went into this course than I was expecting; well worth the $0 cost of entry.
very nice introduction to minizinc with great and easy assignments to get you started
A very interesting course! I learned a lot from this course. Thanks instructors!
A very good course. Thank you to the teachers and Staff in general.
A creative way of teaching discrete optimization. Well appreciated.
Great course, provided a nice introduction to discrete modelling
It has amazing knowledge, and both instructors are funny.
Got some hand-on experience with constraint programming.
Really interesting course with challenging assignment!
Wonderful. It changes the way of solving problems.