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Discrete Optimization

Course Summary

Tired of solving Sudokus by hand? This class teaches you how to solve complex search problems with discrete optimization concepts and algorithms, including constraint programming, local search, and mixed-integer programming.

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    Course Syllabus

    The course has an open format.  At the start of the course all of the assignments and lectures are available and each student is free to design their own plan of study and proceed at their own pace.  The assessments in the course consist of five programming tasks where students experience the challenges of real world optimization problems such as selecting the most profitable locations of retail stores (facility location) and the design of package delivery routes (vehicle routing).  The class community is an important aspect of this course and students are encouraged to collaborate and help each other in the completion of the assignments.

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    Recommended Background

    Good programming skills, knowledge of fundamental algorithms, and linear algebra.

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    Course Format

    The class will consist of lecture videos, which are between 8 and 20 minutes in length (approximately 3 hours per week), and programming assignment covering the course concepts and exercising creativity.  Successful students can spend between 5 to 20 hours a week on the assignments depending on their background skills and level of interest.

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    Suggested Reading

    The lectures are designed to be self-contained and there are no required readings for this course.

Course Fee:

Course Type:


Course Status:



1 - 4 hours / week

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