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
- Constraint Programming
- Problem Solving
- Mathematical Model
- Discrete Optimization
Syllabus - What you will learn from this course
Modeling with Sets
Modeling with Functions
- 5 stars86.19%
- 4 stars11.42%
- 3 stars1.66%
- 2 stars0.23%
- 1 star0.47%
TOP REVIEWS FROM BASIC MODELING FOR DISCRETE OPTIMIZATION
A classic combination of the story mode pitched in learning. I wish that the topics covered in the course were more elaborated.
Good teachers. They go gradually from very easy to challenging concepts. Also a good intro to the main optimization problems.
Great course, but huge gap in difficulty between weeks two and three, as it seemed to me. Knowledge given by course is applicable both for a work and a hobby for me.
Challenging programming assignments and helpful workshops. Good video material. Hoped to have some more real world examples, rather than just fable-based examples.
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