Description
APPLIED SIMULATION AND OPTIMIZATION
The purpose of this course is to enhance the problem-solving skills of Pitt Business students to the level necessary for them to deal with complex decision problems using optimization and simulation. It is an introduction to predictive analytics which can be roughly divided into two approaches: pattern recognition and simulation. In this course we focus on simulation, where you start by using human knowledge of cause and effect to create a model of the system in which the problem operates. You then connect the data you have available with that model to obtain a future projection. Simulation, integrates signals missing in the data and has relatively low data acquisition and processing costs while giving highly reliable predictions.
Details
Grading Basis
Grad LG/SNC Basis
Units
1.5
Component
Lecture - Required
Offering
Course
BQOM 2559
Academic Group
Katz Grad School of Business
Academic Organization
KGSB - Business Admin
Campus
Pittsburgh Campus
Enrollment Requirements
PREQ: BQOM 2512