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 OptimizationThe University of Melbourne
About this Course
Skills you will gain
The University of Melbourne
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.
The Chinese University of Hong Kong
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.
- 5 stars86.68%
- 4 stars11.05%
- 3 stars1.50%
- 2 stars0.25%
- 1 star0.50%
TOP REVIEWS FROM BASIC MODELING FOR DISCRETE OPTIMIZATION
Great introduction to modeling for discrete optimization. Very engaging and challenging.
A classic combination of the story mode pitched in learning. I wish that the topics covered in the course were more elaborated.
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
Good teachers. They go gradually from very easy to challenging concepts. Also a good intro to the main optimization problems.
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