OPIM 402 Optimization Modeling in Business Analytics Select Term:
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.
SU Credits : 3.000
ECTS Credit : 6.000
Prerequisite :
Undergraduate level MGMT 203 Minimum Grade of D
OR ( Undergraduate level MATH 306 Minimum Grade of D )
Corequisite : -