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This class is an introduction to discrete Optimization and Exposes Students to some of the Most Fundamental concepts and algorithms in the field. It covers constraint programming, local search, and mixed-integer programming from their foundations to their applications for complex practical problems in areas such as scheduling, vehicle routing, supply-chain optimization, and resource allocation.
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. The assessments in the course consist of five programming assignments and one extra credit assignment. In the programming assignments, students experience the challenges of real world optimization problems such as selecting the most profitable locations of retail stores (warehouse 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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