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Course Catalog

IE 525 Operations Research and Data Mining 3 Credits
The course will address unsupervised learning, supervised learning, association rule mining and feature subset selection problems, focus on the optimization formulations of these problems, discuss various techniques proposed as solutions and present their implementation particularly in the context of operations management. Among others, probabilistic and statistical methods, possibilistic methods clustering algorithms, decision trees, metaheuristics (such as genetic algorithms, simulated annealing, etc.) and mathematical programming will be covered as part of the toolbox that are widely utilized in data mining. As part of the course multi criteria decision making and multi objective optimization, and their usage in data mining will also be covered. The course will include case studies from both manufacturing and service industries.
Last Offered Terms Course Name SU Credit
Spring 2022-2023 Operations Research and Data Mining 3
Fall 2021-2022 Operations Research and Data Mining 3
Fall 2019-2020 Operations Research and Data Mining 3
Fall 2018-2019 Operations Research and Data Mining 3
Fall 2016-2017 Operations Research and Data Mining 3
Prerequisite: __
Corequisite: __
ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year)
General Requirements: