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DSI-6100 Optimization - Linear Programming

In this course, students will learn how to apply linear programming to complex systems to make better decisions - decisions that increase revenue, decrease costs, or improve efficiency of operations. The course introduces the role of mathematical models in decision making, then covers how to formulate basic linear programming models for decision problems where multiple decisions need to be made in the best possible way, while simultaneously satisfying a number of logical conditions (or constraints). Students will use spreadsheet software to implement and solve these linear programming problems. Graduate students enrolled in this course will complete a project/assignment that engages in higher levels of thought and creativity, requiring them to demonstrate knowledge at more advanced taxonomical levels.

Credits: 3

Offered in Jan 2024, Jul 2024, Jan 2025

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(Please visit the University bookstore to view the correct materials for each course by semester as the contents of the actual online syllabus may differ from the preview due to updates or revisions)