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OPIM 402 Optimization Modeling in Business Analytics 3 Credits
This course provides a detailed introduction to solving managerial problems using various optimization techniques. The aim is to show why and how certain types of deterministic optimization models can be used to assist decision makers make better decisions. Hence, the focus is on teaching a wide variety of applications. Problems from different domains of management, such as operations management, marketing and finance are modeled and solved. The optimization techniques covered are linear programming, linear integer programming, nonlinear programming, and evolutionary algorithms.
Last Offered Terms Course Name SU Credit
Fall 2023-2024 Optimization Modeling in Business Analytics 3
Fall 2022-2023 Optimization Modeling in Business Analytics 3
Fall 2021-2022 Analytics for Business Decisions 3
Spring 2020-2021 Analytics for Business Decisions 3
Spring 2018-2019 Analytics for Business Decisions 3
Spring 2016-2017 Analytics for Business Decisions 3
Fall 2015-2016 Analytics for Business Decisions 3
Fall 2014-2015 Management Science 3
Fall 2013-2014 Management Science 3
Spring 2008-2009 Management Science 3
Spring 2007-2008 Management Science 3
Spring 2006-2007 Management Science 3
Spring 2005-2006 Management Science 3
Prerequisite: MGMT 203 - Undergraduate - Min Grade D
or (MATH 306 - Undergraduate - Min Grade D)
Corequisite: __
ECTS Credit: 6 ECTS (6 ECTS for students admitted before 2013-14 Academic Year)
General Requirements: