Course Catalog
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. | |||||||||||||||||||||||||||||||||||||||||||
|
|||||||||||||||||||||||||||||||||||||||||||
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: | |||||||||||||||||||||||||||||||||||||||||||